Prof . Narayana Nagesh | Biological Chemistry | Best Researcher Award

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Prof . Narayana Nagesh | Biological Chemistry | Best Researcher Award

Chief Scientist (Retd) at CCMB, India

Dr. Narayana Nagesh, PhD, FTAS, FRSC, is a distinguished Chief Scientist at the Centre for Cellular and Molecular Biology (CCMB), Hyderabad, India. With over three decades of research experience, he has made pioneering contributions in the fields of chemical biology, medicinal chemistry, and molecular diagnostics. His work focuses on the synthesis of anticancer agents, DNA-drug interactions, and biomolecular sensing. He has published 94 peer-reviewed articles and holds multiple patents with global recognition. Dr. Nagesh has led several national and international research initiatives, notably in COVID-19 testing and mRNA vaccine development. As a mentor, he has guided over 28 students and served as an external PhD examiner. His contributions extend to national policymaking bodies, and he has played a key role in societal health initiatives. Widely respected for his scientific vision and leadership, Dr. Nagesh embodies excellence in translational research, innovation, and public health impact.

Professional Profile 

Education🎓

Dr. Narayana Nagesh completed his Master’s in Chemistry with a University II rank in 1987, followed by an MPhil with a merit scholarship between 1987–1990. He earned his PhD in Chemistry from 2002 to 2005 with a thesis on “Studies on the Structure and Interaction of G-Quadruplex DNA with Metal Ions and Drugs.” His doctoral work laid the foundation for his expertise in nucleic acid structures and their biomedical applications. Post-PhD, he undertook a prestigious postdoctoral fellowship at Northern Arizona University, USA, working under Prof. Edwin A. Lewis from 2006 to 2007. During this tenure, he focused on Bcl2 Quadruplex DNA interaction with porphyrins, contributing significantly to cancer-related DNA therapeutics. His academic journey reflects a strong multidisciplinary foundation, combining rigorous training in biophysics, organic chemistry, and molecular biology, and has been pivotal to his long-standing research career in biomolecular interactions and drug discovery.

Professional Experience📝

Dr. Narayana Nagesh began his career at CCMB in 1990 as a Scientist-B and has risen through the ranks to serve as Chief Scientist. Over his 30+ year tenure, he has led numerous interdisciplinary research projects funded by CSIR, DST, DBT, and international bodies. He has served as the nodal principal investigator in critical national initiatives, including India’s COVID-19 testing and mRNA vaccine platform development. Dr. Nagesh has played a vital role in institutional governance, acting as chairman of multiple selection and promotion committees and managing the performance review of over 40 staff members. He has also served as a reviewer for funding proposals across India and globally, including for UK’s MRC and Italy’s Fondazione Cariparo. His extensive administrative, collaborative, and scientific contributions reflect not only technical excellence but also deep commitment to institutional leadership and societal benefit in the field of life sciences and public health.

Research Interest🔎

Dr. Nagesh’s research interests lie at the intersection of chemical biology, medicinal chemistry, and molecular diagnostics. He has specialized in the synthesis and evaluation of novel small molecules that target G-quadruplex DNA, an area relevant to cancer biology and therapeutic intervention. His work includes designing topoisomerase inhibitors, anti-cancer agents, porphyrin-based DNA binders, and synthetic ligands for biomarker detection. He has also pioneered research on mRNA-based platforms for vaccines and developed biosensors for early disease detection, including cardiovascular disorders and viral infections. Another focus of his research involves the synthesis of aptamers and ligands specific to overexpressed amino acids in disease states. His multidisciplinary approach blends organic chemistry, DNA structural biology, and clinical relevance. His recent innovations also include nanoparticle-coated fabrics for antibacterial protection, demonstrating his interest in real-world translational applications. Dr. Nagesh’s research is both foundational and futuristic, addressing pressing health challenges with novel scientific solutions.

Award and Honor🏆

Dr. Narayana Nagesh has earned widespread recognition for his exceptional scientific contributions. He was elected Fellow of the Telangana Academy of Sciences (FTAS) in 2022 and Fellow of the Royal Society of Chemistry (FRSC) in 2024—prestigious acknowledgments of his influence in the scientific community. He received the Indo-Swiss Joint Research Project (ISJRP) fellowship, facilitating international collaboration with the University of Neuchâtel. Earlier in his career, he was honored with the NAU-TRIF and ABRC awards in the USA during his postdoctoral tenure. Dr. Nagesh has received several travel fellowships and was invited to present his research at global platforms including the ACS National Meeting and international conferences on G-quadruplex DNA. Additionally, he serves on the executive committee of the National Biodiversity Authority (NBA), reflecting his impact on national science policy. His sustained record of excellence, leadership, and global collaboration underscore his stature as a leader in biomedical and chemical research.

Research Skill🔬

Dr. Nagesh possesses a robust skill set spanning synthetic organic chemistry, DNA-ligand interaction studies, molecular diagnostics, and biophysical analysis. He is adept at designing and synthesizing anticancer and DNA-interacting compounds, with a deep understanding of pharmacophore modeling and structure-activity relationships. His skills extend to developing biosensors, including electrochemical and optical sensing platforms for disease biomarkers like homocysteine and cysteine. He is also experienced in aptamer synthesis and RNA-based therapeutics, particularly mRNA vaccine design. Dr. Nagesh has demonstrated competence in high-throughput screening, molecular docking, and cell-based assays. His hands-on experience in G-quadruplex structural studies and interaction thermodynamics provides a rare blend of theoretical and practical expertise. With leadership in COVID-19 diagnostic operations and sensor development for cardiovascular diseases, his translational research skills are particularly strong. His comprehensive skill set enables him to seamlessly bridge basic chemistry with applied biomedicine, making him a multifaceted researcher of national and global relevance.

Conclusion💡

Dr. Narayana Nagesh demonstrates a stellar record of scientific excellence, translational research, and societal impact. His multidisciplinary work, impactful publications, leadership in national projects (e.g., COVID-19 testing and mRNA vaccine platforms), and international collaborations make him exceptionally well-qualified for the Best Researcher Award.

🔹 His blend of academic rigor, innovation, mentorship, and national service exemplifies the spirit of the award.
🔹 His recognition as FRSC, FTAS, and active leadership across scientific and societal platforms further validate his eligibility.

Publications Top Noted✍

  • Title: Characterization of an alkaline active – thiol forming extracellular serine keratinase by the newly isolated Bacillus pumilus
    Authors: AG Kumar, S Swarnalatha, S Gayathri, N Nagesh, G Sekaran
    Year: 2008
    Citations: 144

  • Title: DNA-binding affinity and anticancer activity of β-carboline–chalcone conjugates as potential DNA intercalators: Molecular modelling and synthesis
    Authors: N Shankaraiah, KP Siraj, S Nekkanti, V Srinivasulu, P Sharma, …
    Year: 2015
    Citations: 119

  • Title: Design and synthesis of dithiocarbamate linked β-carboline derivatives: DNA topoisomerase II inhibition with DNA binding and apoptosis inducing ability
    Authors: A Kamal, M Sathish, VL Nayak, V Srinivasulu, B Kavitha, Y Tangella, …
    Year: 2015
    Citations: 107

  • Title: Design and synthesis of C3-tethered 1,2,3-triazolo-β-carboline derivatives: Anticancer activity, DNA-binding ability, viscosity and molecular modeling studies
    Authors: AK Nagula Shankaraiah, Chetna Jadala, Shalini Nekkanti, Kishna Ram Senwar, …
    Year: 2016
    Citations: 101

  • Title: Design and synthesis of C3‐pyrazole/chalcone‐linked beta‐carboline hybrids: antitopoisomerase I, DNA‐interactive, and apoptosis‐inducing anticancer agents
    Authors: A Kamal, V Srinivasulu, VL Nayak, M Sathish, N Shankaraiah, C Bagul, …
    Year: 2014
    Citations: 98

  • Title: Production of melanin pigment from Pseudomonas stutzeri isolated from red seaweed Hypnea musciformis
    Authors: C Ganesh Kumar, N Sahu, G Narender Reddy, RBN Prasad, N Nagesh, …
    Year: 2013
    Citations: 91

  • Title: Purification of extracellular acid protease and analysis of fermentation metabolites by Synergistes sp. utilizing proteinaceous solid waste from tanneries
    Authors: AG Kumar, N Nagesh, TG Prabhakar, G Sekaran
    Year: 2008
    Citations: 86

  • Title: Genetic Locus Encoding Functions Involved in Biosynthesis and Outer Membrane Localization of Xanthomonadin in Xanthomonas oryzae pv. oryzae
    Authors: AK Goel, L Rajagopal, N Nagesh, RV Sonti
    Year: 2002
    Citations: 85

  • Title: Synthesis of podophyllotoxin linked β-carboline congeners as potential anticancer agents and DNA topoisomerase II inhibitors
    Authors: AK Manda Sathish, Botla Kavitha, V. Laxma Nayak, Yellaiah Tangella, Ayyappan …, Narayana Nagesh
    Year: 2018
    Citations: 84

  • Title: Copper Oxide Nanoparticles Supported on Graphene Oxide‐Catalyzed S‐Arylation: An Efficient and Ligand‐Free Synthesis of Aryl Sulfides
    Authors: A Kamal, V Srinivasulu, JC Murty, N Shankaraiah, N Nagesh, …
    Year: 2013
    Citations: 81

  • Title: Synthesis of β-carboline–benzimidazole conjugates using lanthanum nitrate as a catalyst and their biological evaluation
    Authors: A Kamal, MPN Rao, P Swapna, V Srinivasulu, C Bagul, AB Shaik, …, Narayana Nagesh
    Year: 2014
    Citations: 76

  • Title: Ammonium ion at low concentration stabilizes the G-quadruplex formation by telomeric sequence
    Authors: N Nagesh, D Chatterji
    Year: 1995
    Citations: 72

  • Title: Halomonas glaciei sp. nov. isolated from fast ice of Adelie Land, Antarctica
    Authors: G Reddy, P Raghavan, N Sarita, J Prakash, N Nagesh, D Delille, S Shivaji
    Year: 2003
    Citations: 71

  • Title: Bcl-2 promoter sequence G-quadruplex interactions with three planar and non-planar cationic porphyrins: TMPyP4, TMPyP3, and TMPyP2
    Authors: VH Le, N Nagesh, EA Lewis
    Year: 2013
    Citations: 68

  • Title: Studies on the site and mode of TMPyP4 interactions with Bcl-2 promoter sequence G-Quadruplexes
    Authors: N Nagesh, R Buscaglia, JM Dettler, EA Lewis
    Year: 2010
    Citations: 68

  • Title: Design, synthesis and biological evaluation of new β-carboline-bisindole compounds as DNA binding, photocleavage agents and topoisomerase I inhibitors
    Authors: J Kovvuri, B Nagaraju, VL Nayak, R Akunuri, MPN Rao, A Ajitha, …, N Nagesh
    Year: 2018
    Citations: 62

  • Title: Magnetic bead-amplified voltammetric detection for carbohydrate antigen 125 with enzyme labels using aptamer-antigen-antibody sandwiched assay
    Authors: M Sadasivam, A Sakthivel, N Nagesh, S Hansda, M Veerapandian, …
    Year: 2020
    Citations: 61

  • Title: A dihydroindolizino indole derivative selectively stabilizes G-quadruplex DNA and down-regulates c-MYC expression in human cancer cells
    Authors: N Nagesh, G Raju, R Srinivas, P Ramesh, MD Reddy, CR Reddy
    Year: 2015
    Citations: 61

  • Title: BODIPY-based Ru(II) and Ir(III) organometallic complexes of avobenzone, a sunscreen material: potent anticancer agents
    Authors: NNCYL Gajendra Gupta, Shirisha Cherukommu, Gunda Srinivas, Seon Woong Lee, …, N Nagesh
    Year: 2018
    Citations: 58

  • Title: Synthesis and biological evaluation of pyrazole linked benzothiazole-β-naphthol derivatives as topoisomerase I inhibitors with DNA binding ability
    Authors: B Nagaraju, J Kovvuri, CG Kumar, SR Routhu, MA Shareef, M Kadagathur, …, N Nagesh
    Year: 2019
    Citations: 51

Arsene Jaures Ouemba Tasse | Biomedical and Healthcare Applications | Best Researcher Award

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Dr . Arsene Jaures Ouemba Tasse | Biomedical and Healthcare Applications | Best Researcher Award

Postdoc at University of the Witwatersrand, Johannesburg, South Africa

Dr. Arsène Jaures Ouemba Tasse is a dynamic Postdoctoral Research Fellow at the University of the Witwatersrand, South Africa, with a specialized focus in applied dynamical systems and mathematical modeling of infectious diseases. He holds a Ph.D. in Mathematics from the University of Dschang, Cameroon, and has published extensively in high-impact journals on topics including Ebola, COVID-19, Typhoid, and Monkeypox. His research contributions have global significance, particularly in understanding disease transmission dynamics and control strategies. Dr. Ouemba Tasse has participated in numerous international conferences, received prestigious research grants, and supervised both undergraduate and postgraduate students. He is also an active reviewer for several scientific journals and has contributed to collaborative projects funded by renowned institutions like the Bill & Melinda Gates Foundation. His growing leadership in academic events, combined with his commitment to public health through mathematics, positions him as a highly influential figure in the field of mathematical epidemiology.

Professional Profile 

Education🎓 

Dr. Arsène Jaures Ouemba Tasse has a strong academic foundation in mathematics, beginning with a Bachelor’s degree from the University of Yaoundé I in 2009. He pursued his Honours and Master’s degrees in Mathematics at the University of Dschang, Cameroon, where he graduated with distinction. His academic journey culminated in earning a Ph.D. in Applied Dynamical Systems and Mathematical Modeling from the same institution in 2021. His doctoral studies equipped him with advanced knowledge in differential equations, epidemiological modeling, partial differential equations, and numerical analysis. Additionally, he obtained a Secondary and High School Teacher’s Diploma in Mathematics from the Higher Teacher’s Training College of Yaoundé in 2008, highlighting his early commitment to education. To enhance his international research engagement, he completed an English language course at the University of the Witwatersrand in 2023. His academic pathway reflects both depth and breadth in mathematical sciences, with a strong emphasis on applied research for real-world impact.

Professional Experience📝

Dr. Ouemba Tasse brings over 15 years of professional experience in teaching, research, and academic mentorship. Since November 2022, he has served as a Postdoctoral Research Fellow at the University of the Witwatersrand, Johannesburg, where he engages in cutting-edge research, student supervision, and academic event organization. Before this, he spent over a decade teaching mathematics in various high schools in Cameroon, including the General High School Tsela and the General Bilingual High School Bameka. His university-level experience includes lecturing and tutoring in courses such as algebra, calculus, mathematical modeling, and discrete population dynamics. He has participated in academic panels, supervised postgraduate research groups, and served as an external examiner. His professional journey reflects a seamless transition from secondary education to advanced research, demonstrating versatility, leadership, and commitment to educational excellence in both national and international academic environments.

Research Interest🔎

Dr. Ouemba Tasse’s research interests are centered around mathematical epidemiology, applied dynamical systems, and optimal control theory, particularly in the context of infectious disease modeling. He focuses on developing and analyzing mathematical models that simulate the transmission dynamics of diseases such as Ebola, COVID-19, Typhoid, Malaria, Monkeypox, and HIV. His models incorporate various control strategies including awareness programs, vaccination, isolation, and traditional versus modern treatment methods. He also works on the mathematical formulation and numerical solutions using nonstandard finite difference schemes that ensure stability and accuracy in epidemic simulations. His recent projects explore the co-dynamics of multiple infections and the role of environmental and behavioral factors in disease propagation. Additionally, he is interested in the intersection of public health and mathematics, including modeling cancer progression and mother-to-child HIV transmission. His interdisciplinary approach bridges mathematical theory and health policy, offering vital insights for effective disease control and healthcare intervention strategies.

Award and Honor🏆

Dr. Ouemba Tasse has received numerous accolades and support from prestigious institutions for his impactful research in mathematical modeling. He was awarded a Postdoctoral Fellowship by the University of the Witwatersrand, along with funding from the Bill & Melinda Gates Foundation for a cervical cancer modeling project. He received full sponsorships from the Simons Foundation and the Pacific Institute of Mathematical Sciences to attend international conferences and research schools in Canada and the USA. He won first prize in Analysis at a postgraduate workshop in Cameroon and was a recipient of the Humboldt Foundation’s funding during the Dschang Humboldt Kolleg. His academic excellence has been further recognized through grant awards from the Society for Mathematical Biology and participation in global conferences like BIOMATH and CIMPA. These honors not only acknowledge his research excellence but also reflect his growing reputation as a leading contributor to mathematical modeling in epidemiology and public health.

Research Skill🔬

Dr. Ouemba Tasse possesses advanced research skills in both theoretical and computational aspects of applied mathematics. He is proficient in developing deterministic and stochastic models of infectious diseases, applying optimal control techniques, and performing stability analysis of equilibrium states. His expertise in nonstandard finite difference schemes enhances the accuracy and robustness of numerical simulations. He is well-versed in software tools such as MATLAB, MATHEMATICA, R, and LaTeX, which he uses extensively for simulations, data analysis, and scientific writing. His research includes data fitting and parameter estimation, and he has applied these techniques in real-world epidemiological studies. He also has strong collaborative skills, having led and co-supervised numerous multidisciplinary projects and study groups. Additionally, he contributes as a peer reviewer for reputed journals and book chapters, showcasing his analytical precision and subject-matter authority. These combined skills make him an adept and resourceful researcher capable of addressing complex public health challenges through mathematics.

Conclusion💡

Dr. Arsène Jaures Ouemba Tasse is a highly promising and competitive candidate for the Best Researcher Award, especially in fields involving epidemiological modeling, applied mathematics, and computational public health. His international exposure, robust publication record, academic mentoring, and societal relevance of his research make him exceptionally well-qualified for this honor.

While still in an early career stage, his trajectory shows exemplary leadership potential and deep scholarly contributions. With minor improvements such as increasing PI roles and broader interdisciplinary outreach, he would not only be eligible but also a standout award recipient.

Publications Top Noted✍

  1. Title: Mathematical modeling of contact tracing as a control strategy of Ebola virus disease
    Authors: T. Berge, A.J. Ouemba Tassé, H.M. Tenkam, J. Lubuma
    Year: 2018
    Citations: 34

  2. Title: Dynamics of host-reservoir transmission of Ebola with spillover potential to humans
    Authors: B. Tsanou, J.M.S. Lubuma, A.J.O. Tassé, H.M. Tenkam
    Year: 2018
    Citations: 22

  3. Title: Ebola virus disease dynamics with some preventive measures: a case study of the 2018–2020 Kivu outbreak
    Authors: A.J. Ouemba Tasse, B. Tsanou, J. Lubuma, J.L. Woukeng, F. Signing
    Year: 2022
    Citations: 6

  4. Title: Nonstandard finite difference schemes for some epidemic optimal control problems
    Authors: A.J.O. Tassé, V.B. Kubalasa, B. Tsanou
    Year: 2025
    Citations: 2

  5. Title: A metapopulation model with exit screening measure for the 2014–2016 West Africa Ebola virus outbreak
    Authors: A.J.O. Tassé, B. Tsanou, J.L. Woukeng, J.M.S. Lubuma
    Year: 2024
    Citations: 1

  6. Title: A mathematical model to study herbal and modern treatments against COVID-19
    Authors: A.J. Ouemba Tassé, B. Tsanou, C. Kwa Kum, J. Lubuma
    Year: 2024
    Citations: 1

  7. Title: Assessment of effective isolation, safe burial and vaccination optimal controls for an Ebola epidemic model
    Authors: A.J.O. Tassé, B. Tsanou, J.M.S. Lubuma, J.L. Woukeng
    Year: 2020
    Citations: 1

  8. Title: Mathematical modelling of the dynamics of typhoid fever and two modes of treatment in a Health District in Cameroon
    Authors: T.J. Tsafack, C.K. Kum, A.J.O. Tassé, B. Tsanou
    Year: 2025

  9. Title: A mathematical model on the impact of awareness and traditional medicine in the control of Ebola: case study of the 2014–2016 outbreaks in Sierra Leone and Liberia
    Authors: A.J. Ouemba Tassé, B. Tsanou, C.K. Kum, J. Lubuma
    Year: 2024

  10. Title: Influence of the co-dynamics Ebola-COVID-19 in the population
    Authors: A.J.O. Tassé, J. Lubuma, B. Tsanou
    Year: 2023

  11. Title: Investigating the impact of isolation, self-isolation and environmental transmission on the spread of COVID-19: case study in Rwanda
    Authors: J.M.S. Lubuma, A.J.O. Tassé, F. Signing, B. Tsanou
    Year: 2023

  12. Title: Modélisation mathématique de la transmission de la maladie à virus Ebola et stratégies de contrôle
    Authors: A.J.O. Tasse
    Year: 2021

  13. Title: Mathematical modeling of contact tracing as a control strategy of Ebola virus disease (Duplicate entry)
    Authors: B. Tsanou, A.J. Ouemba Tassé, H.M. Tenkam, J.M.S. Lubuma
    Year: 2018

  14. Title: Investigating the impact of isolation, self-isolation and environmental transmission on the spread of COVID-19: case study of Rwanda (Duplicate entry)
    Authors: M.S.L. Jean, A.J.O. Tassé, F. Signing, B. Tsanou
    Year: 2023

Koichiro Matsumura | Cardiology | Academic Advancement Award

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Dr . Koichiro Matsumura | Cardiology | Academic Advancement Award

Assistant Professor at Kindai University, Japan

Dr. Koichiro Matsumura, M.D., Ph.D., is a highly accomplished Japanese cardiologist and senior lecturer at the Department of Cardiology, Kindai University Faculty of Medicine. With nearly two decades of experience in internal medicine and cardiovascular care, he has built a stellar academic and research career that spans both Japan and the United States. His work focuses on the intersection of cardiovascular health, geriatric care, nutrition, and mobile health technologies. Dr. Matsumura has consistently contributed to the advancement of clinical cardiology through both practice and research, publishing extensively in high-impact journals and receiving multiple national recognitions for his innovative contributions. His unique approach emphasizes evidence-based interventions, patient-centered outcomes, and emerging digital tools in cardiovascular disease management. His clinical expertise, combined with a solid academic foundation, distinguishes him as a leader and innovator in his field, making him a strong candidate for prestigious research recognitions and awards.

Professional Profile 

Education🎓 

Dr. Koichiro Matsumura earned his Doctor of Medicine (M.D.) degree from Kanazawa Medical University in March 2006, providing him with a strong foundation in clinical medicine. He pursued postgraduate training as a junior and senior resident at Kansai Medical University Hospital, where he specialized in internal medicine and cardiology. Driven by a passion for research and academic excellence, he later completed a Doctor of Philosophy (Ph.D.) in Medical Science at Kansai Medical University in March 2017. Throughout his academic journey, Dr. Matsumura consistently demonstrated academic rigor, clinical commitment, and an early interest in cardiovascular science. His educational background is further enhanced by board certifications in internal medicine, general medicine, cardiology, and cardiac rehabilitation, reflecting a high degree of specialization. Additionally, his time as a research fellow at the University of California, Los Angeles (UCLA) provided him with invaluable international exposure, reinforcing his role as a globally competent cardiovascular researcher and clinician.

Professional Experience📝

Dr. Matsumura began his professional journey in 2006 as a junior resident at Kansai Medical University Hospital, followed by a senior residency in internal medicine. He later served as a cardiologist at Kyoto Katsura Hospital, gaining hands-on experience in cardiovascular patient care. From 2012 to 2014, he expanded his expertise as a research fellow at the University of California, Los Angeles (UCLA), engaging in advanced cardiovascular research. Upon returning to Japan, he held academic positions as Assistant Professor at Kansai Medical University General Medical Center and Lecturer at Kindai University. In April 2025, he was promoted to Senior Lecturer in the Department of Cardiology at Kindai University Faculty of Medicine. Throughout his career, Dr. Matsumura has balanced clinical practice with teaching and research, training future cardiologists while advancing cardiac care through evidence-based practices. His professional growth showcases a trajectory of increasing leadership and responsibility in academic cardiology.

Research Interest🔎

Dr. Matsumura’s research interests are deeply rooted in cardiovascular medicine, with a focus on heart failure, elderly patient care, cardiac rehabilitation, and mobile health (mHealth) technologies. He is particularly interested in the role of nutrition, physical activity, and psychological factors in managing cardiovascular diseases in aging populations. His studies explore how wearable technologies and mobile applications can enhance treatment adherence and improve outcomes in patients with heart conditions. Additionally, his work investigates the clinical implications of malnutrition, sarcopenia, and psychosocial stress in cardiac patients. Dr. Matsumura also examines the interplay between metabolic disorders, renal dysfunction, and heart failure progression. His integrative approach connects clinical cardiology with public health, behavioral science, and digital innovation, aiming to offer more holistic and sustainable strategies for cardiovascular disease management. By aligning research with patient-centered care, he contributes to emerging paradigms in preventive cardiology and digital therapeutics.

Award and Honor🏆

Dr. Koichiro Matsumura has been recognized nationally and internationally for his outstanding contributions to cardiovascular medicine and research. His honors include the Best Presentation Award from the Japanese Heart Failure Society and the Young Investigator Award from the Japanese Society of Anti-Aging Medicine, both received in 2022. That same year, he was awarded the Kindai University Medical Science Award, underscoring his academic leadership and innovation. He has also secured competitive research grants from renowned institutions such as the Nakatani Foundation, Fukuda Foundation, Senshin Medical Research Foundation, and the prestigious JSPS KAKENHI (Grant-in-Aid for Scientific Research C). Additionally, he earned the International Session Award at Asia Prevent 2021, affirming his global impact. These accolades reflect Dr. Matsumura’s dedication to high-impact research, continuous innovation in cardiovascular care, and excellence in scientific communication, positioning him as a leading figure in academic cardiology and preventive medicine.

Research Skill🔬

Dr. Matsumura possesses a versatile set of research skills that span clinical trials, epidemiological studies, retrospective analyses, and digital health evaluations. He is proficient in designing and executing observational cohort studies, particularly focused on elderly cardiac populations and heart failure outcomes. His expertise includes the use of mobile health (mHealth) platforms and wearables for real-world data collection, analysis of cardiovascular biomarkers, and the application of nutritional and rehabilitation assessments in clinical practice. He is skilled in statistical software tools for data interpretation and has led multiple studies published as corresponding author in indexed journals. His collaborative research efforts also extend to interdisciplinary projects involving internal medicine, nephrology, geriatrics, and digital therapeutics. His ability to integrate clinical insights with research methodology ensures that his findings have practical translational value. Moreover, his contributions to systematic reviews and multicenter studies reflect his commitment to evidence-based medicine and advancing cardiovascular science.

Conclusion💡

Dr. Koichiro Matsumura exemplifies the qualities of a high-impact clinical researcher: depth in cardiology, progressive academic positions, consistent research productivity, international engagement, and award-winning contributions. His focus on elderly cardiovascular care, integration of technology in rehabilitation, and exploration of psychosocial and nutritional factors in heart disease make his research not only innovative but socially relevant.

Publications Top Noted✍

  • Title: Integration of Wearables Into a Cardiac Rehabilitation Program and Its Impact on Physical Activity and Exercise Capacity in Older Patients With Cardiovascular Disease
    Authors: Eijiro Yagi, Koichiro Matsumura, Yuki Uchigashima, Jun Shiroyama, Mitsuki Hase, Tomoya Nanba, Nobuhiro Yamada, Yohei Funauchi, Masafumi Ueno, Kiyonori Togi et al.
    Year: 2025
    Citation: DOI: 10.1177/27536351251343538

  • Title: Impact of an mHealth App (Kencom) on Patients With Untreated Hypertension Initiating Antihypertensive Medications: Real-World Cohort Study
    Authors: Koichiro Matsumura, Atsushi Nakagomi, Eijiro Yagi, Nobuhiro Yamada, Yohei Funauchi, Kazuyoshi Kakehi, Ayano Yoshida, Takayuki Kawamura, Masafumi Ueno, Gaku Nakazawa et al.
    Year: 2024
    Citation: DOI: 10.2196/52266

  • Title: Effect of a mobile health app on initiating antihypertensive medications in patients with untreated hypertension (Preprint)
    Authors: Koichiro Matsumura, Atsushi Nakagomi, Eijiro Yagi, Nobuhiro Yamada, Yohei Funauchi, Kazuyoshi Kakehi, Ayano Yoshida, Takayuki Kawamura, Masafumi Ueno, Gaku Nakazawa et al.
    Year: 2023
    Citation: DOI: 10.2196/preprints.52266

  • Title: Effectiveness of a mobile health app on initiated antihypertensive medications in patients with untreated hypertension
    Authors: Koichiro Matsumura, Atsushi Nakagomi, Eijiro Yagi, Nobuhiro Yamada, Yohei Funauchi, Kazuyoshi Kakehi, Ayano Yoshida, Takayuki Kawamura, Masafumi Ueno, Gaku Nakazawa et al.
    Year: 2023
    Citation: DOI: 10.1101/2023.08.03.23293628

  • Title: Risk factors related to psychological distress among elderly patients with cardiovascular disease
    Authors: Koichiro Matsumura, Yasuhiro Kakiuchi, Takahiro Tabuchi, Toru Takase, Masafumi Ueno, Masahiro Maruyama, Kazuki Mizutani, Tatsuya Miyoshi, Kuniaki Takahashi, Gaku Nakazawa
    Year: 2023
    Citation: DOI: 10.1093/eurjcn/zvac064

  • Title: COVID-19 testing avoidance among patients with cardiovascular disease
    Authors: Koichiro Matsumura, Takahiro Tabuchi, Eijiro Yagi, Takeshi Ijichi, Misaki Hasegawa, Nobuhiro Yamada, Yohei Funauchi, Kazuyoshi Kakehi, Takayuki Kawamura, Gaku Nakazawa
    Year: 2023
    Citation: DOI: 10.1101/2023.04.17.23288710

  • Title: Up-Titration of Sacubitril/Valsartan Among Patients With Heart Failure and Preserved Ejection Fraction
    Authors: Koichiro Matsumura, Takeshi Ijichi, Junko Morimoto, Kensuke Takabayashi, Mitsunori Miho, Keisuke Ueno, Eijiro Yagi, Toru Takase, Masafumi Ueno, Gaku Nakazawa
    Year: 2023
    Citation: DOI: 10.1177/10742484221146375

  • Title: Cancer screening: Possibility of underscreening in older adult population with a history of cardiovascular disease
    Authors: Koichiro Matsumura, Yasuhiro Kakiuchi, Takahiro Tabuchi, Toru Takase, Masahiro Maruyama, Masafumi Ueno, Gaku Nakazawa
    Year: 2022
    Citation: DOI: 10.1016/j.jjcc.2022.03.002

  • Title: Differential effect of malnutrition between patients hospitalized with new‐onset heart failure and worsening of chronic heart failure
    Authors: Koichiro Matsumura, Wakana Teranaka, Masanao Taniichi, Munemitsu Otagaki, Hiroki Takahashi, Kenichi Fujii, Yoshihiro Yamamoto, Gaku Nakazawa, Ichiro Shiojima
    Year: 2021
    Citation: DOI: 10.1002/ehf2.13279

Herlin L T | IoT & Wireless Sensor Networks | Best Researcher Award

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Dr . Herlin L T | IoT & Wireless Sensor Networks | Best Researcher Award

Assistant Professor at Mar Ephraem College of Engineering and Technology, India

Dr. L.T. Herlin is a dedicated academician and researcher with over 15 years of experience in teaching, mentoring, and scholarly research in the field of Computer Science and Engineering. Currently serving as an Assistant Professor at Mar Ephraem College of Engineering and Technology, Tamil Nadu, she combines deep technical knowledge with innovative teaching practices. Her research focuses on cutting-edge technologies including Wireless Sensor Networks, the Internet of Things (IoT), and Machine Learning. She has published extensively in reputed journals and presented papers at numerous national and international conferences. Known for her strong organizational skills, she has successfully conducted technical workshops, faculty development programs, and seminars, contributing significantly to academic growth and peer learning. As a life member of the Indian Society of Systems for Science and Engineering (ISSE), she remains actively involved in advancing research and fostering a vibrant academic community. Her holistic approach makes her a valuable contributor to education and innovation.

Professional Profile 

Education🎓 

Dr. L.T. Herlin holds a Ph.D. in Computer Science and Engineering from Anna University, Chennai, awarded in 2024, specializing in wireless and IoT-based systems. She completed her M.Tech in Computer and Information Technology from Manonmaniam Sundaranar University, Tirunelveli, in 2010, graduating with first class and distinction, securing 77%. Her undergraduate education includes a B.Tech in Information Technology from CSI Institute of Technology, Thovalai, in 2007, where she achieved first class with distinction and an impressive score of 84%. Prior to her higher education, she displayed academic excellence with 88.83% in her HSC and 88.8% in Matriculation from Christuraja Matriculation Higher Secondary School, Marthandam. Her consistent academic performance reflects a strong foundation in analytical thinking, technical expertise, and problem-solving. With a combination of rigorous academic training and applied research, she has built a robust educational background aligned with her career in advanced computing and academic mentorship.

Professional Experience📝

Dr. L.T. Herlin brings over 15 years of experience in academia, with a proven track record in teaching, mentoring, and institutional development. She is currently serving as an Assistant Professor at Mar Ephraem College of Engineering and Technology, Elavuvilai, since August 2012. Prior to this, she worked as a Lecturer at Narayanaguru College of Engineering from 2011 to 2012 and at Vins Christian College of Engineering from 2007 to 2008 and again from 2010 to 2011. Throughout her career, she has delivered lectures across various core computer science subjects while guiding students in academic projects and research initiatives. She has organized and participated in numerous workshops, symposiums, and FDPs, reflecting her dedication to continuous learning and teaching excellence. Her long-standing association with engineering education has empowered her to impact hundreds of students and contribute meaningfully to curriculum development and academic governance within her institution.

Research Interest🔎

Dr. L.T. Herlin’s research interests lie at the intersection of intelligent systems and networked environments. Her primary areas of focus include Wireless Sensor Networks (WSNs), where she explores energy-efficient and fault-tolerant routing mechanisms, and the Internet of Things (IoT), particularly in precision agriculture and smart environments. She is also passionate about Machine Learning and its integration with sensor networks for real-time data analytics and decision-making. Her recent work includes developing a sensory system for soil macronutrient analysis and publishing algorithms using metaheuristics for agricultural applications. She actively seeks to solve real-world problems using computational intelligence, with a vision to contribute to sustainable and smart technological solutions. Her multidisciplinary approach brings together communication technologies, embedded systems, and AI for impactful research. Through her work, she aims to bridge the gap between theoretical models and practical deployment, aligning her research with industry needs and societal benefits.

Award and Honor🏆

Dr. L.T. Herlin has earned recognition through multiple academic and professional accomplishments. Notably, she has served as a mentor for a funded IEDC project titled Cling – A Mobile App for Locating Tree Climbers Nearby, which reflects her commitment to fostering student innovation and social impact. Her scholarly work has been published in reputed international journals, including Cybernetics and Systems, and presented at prestigious conferences such as AICERA/ICIS and ICCIDT. She has also been a resource person for seminars on career development and technical workshops. As a life member of the Indian Society of Systems for Science and Engineering (ISSE), she continues to actively engage with the research community. She has not only attended but also organized several faculty development programs and national-level symposiums. These contributions and recognitions collectively highlight her dedication to academic excellence, knowledge dissemination, and research-driven community engagement.

Research Skill🔬

Dr. L.T. Herlin possesses a robust set of research skills that span across data analysis, algorithm design, wireless network simulation, and sensor-based system development. Her Ph.D. work and subsequent publications demonstrate proficiency in developing energy-aware and fault-tolerant protocols using metaheuristic algorithms such as the Serial Exponential Newton method. She has applied these skills in practical contexts like agriculture, environmental monitoring, and health analytics. Her familiarity with tools such as MATLAB, Python, and simulation platforms supports the technical depth of her work. She is also skilled in conducting empirical research, literature reviews, and comparative performance analysis. Additionally, she has guided undergraduate and postgraduate students in research and prototype development. Her ability to combine theoretical knowledge with applied research ensures her projects are both innovative and practically viable. Her skills are further reflected in her successful participation and contribution to FDPs, workshops, and interdisciplinary collaborations that strengthen her capabilities as a researcher and mentor.

Conclusion💡

Dr. L.T. Herlin exhibits a well-rounded academic profile, characterized by strong research, teaching, mentoring, and community engagement. Her focus areas—Wireless Sensor Networks, IoT, and Machine Learning—are current, impactful, and technologically significant. With a recent Ph.D. and a growing body of scholarly work, she clearly aligns with the objectives of the Best Researcher Award.

Publications Top Noted✍

  • Title: A New Modified Fast Fractal Image Compression Algorithm in DCT Domain
    Authors: J.S. Jiji, L.T. Herlin, A.G. Singerji, S.W. Pillai
    Cited by: 3
    Year: 2017

  • Title: An Energy-Aware and Fault-Tolerant WSN Routing Approach Using Serial Exponential Newton Metaheuristic Algorithm for Agricultural Lands
    Authors: L.T. Herlin
    Cited by: 2
    Year: 2023

  • Title: Retinal Blood Vessel Extraction using ISODATA Clustering and Morphological Operations
    Authors: S.W. Pillai, L.T. Herlin, A.G. Singerji
    Cited by: 2
    Year: 2017

  • Title: An IoT based Portable Sensory System for the Accurate Analysis of Soil Macronutrients using Photometry
    Authors: C.T. Lincy, J. Jalbin, L.T. Herlin
    Year: 2023

  • Title: A Duty-Cycle based Cooperative Clustering Protocol for Energy Harvesting WSN
    Authors: Prof. Dr. A. Lenin Fred, J. Janila, L.T. Herlin, Austy B
    Year: 2022

  • Title: Optimizing Precision Agriculture with LoRa-Enabled Wireless Sensor Networks for Smart Irrigation and Fertilization Management
    Authors: L.T. Herlin, L.L. Laudis, J. Jalbin

Hosham Mahamed | Force Control | Best Researcher Award

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Assoc . Prof . Dr . Hosham Mahamed | Force Control | Best Researcher Award

Robotics at Quanzhou University of Information Engineering, China

Dr. Hosham W. A. Mahamed is a dedicated researcher and academic specializing in Mechanical and Electrical Engineering with a strong focus on robotics. With over eleven years of teaching and research experience, he has made notable contributions in robotic force control, impedance adaptation, and intelligent polishing systems. He has authored multiple peer-reviewed publications in high-impact SCI journals and participated in practical projects involving complex robotic applications in industrial settings in China. His international academic journey spans Sudan and China, backed by prestigious scholarships and collaborative engagements. Known for his analytical mindset, Dr. Mahamed has demonstrated excellence in both theoretical frameworks and practical implementations of robotic systems. His background reflects a blend of innovation, teaching excellence, and hands-on engineering solutions. Currently affiliated with Quanzhou University of Information Engineering in China, he continues to explore cutting-edge developments in mechatronics and automation. His commitment to advancing the field makes him a valuable contributor to the global research community.

Professional Profile 

Education🎓 

Dr. Mahamed holds a Ph.D. in Mechanical and Electrical Engineering from Nanjing University of Aeronautics and Astronautics (2024), where his research centered around robotic polishing systems, impedance control, and smart manufacturing. His doctoral journey was supported by a full scholarship from the China Scholarship Council, reflecting both academic excellence and international recognition. He previously earned a Master of Science in Mechanical and Electrical Engineering from Sudan University of Science and Technology (2018), where he conducted a thesis on PID control-based robotic arm systems. His undergraduate studies culminated in a Bachelor’s degree in Aviation Electronics (Avionics) Engineering from Karary University in 2010. His educational trajectory is characterized by a multidisciplinary foundation that merges aeronautics, electrical systems, and robotics. With training in both academic and applied domains, Dr. Mahamed’s education has equipped him with a broad yet deeply technical understanding of engineering principles and the practical application of control systems in robotics.

Professional Experience📝

Dr. Hosham Mahamed brings over a decade of professional experience in academia and industry, with a career that bridges teaching, research, and real-world engineering. He began his academic career as a Teaching Assistant in the Electrical Engineering Department at Karary University, Sudan (2012–2018), later advancing to Lecturer (2018–2019), where he mentored undergraduate students and contributed to curriculum development. From 2022 to 2024, he served as a Researcher and Designing Engineer at the Li-Hang Industry Institute of Bionic Technology in Nanjing, China. There, he worked on advanced robotic polishing applications and industrial automation projects involving violin and music box workpieces. His experience spans multiple engineering domains, from avionics to mechatronics, with consistent contributions in applied robotics. Now affiliated with Quanzhou University of Information Engineering, he continues to engage in academic instruction and research. His professional journey reflects a commitment to continuous learning, innovation, and global collaboration.

Research Interest🔎

Dr. Mahamed’s research interests lie at the intersection of robotics, control systems, and intelligent automation. His work primarily focuses on robotic force control, variable impedance controllers, path planning, and online adaptive systems. He has contributed significantly to the development of robotic polishing systems capable of handling complex surfaces with precision, using advanced force-tracking algorithms. Dr. Mahamed is particularly interested in machine learning applications in robotic motion control and the integration of robotic systems in smart manufacturing environments. His research also explores admittance and impedance control strategies for contact-based tasks, enabling robots to operate efficiently on irregular and curved surfaces. Beyond theoretical models, his projects involve real-time simulations using tools like RoboDK, MATLAB, and Gazebo, and real-world implementations within industrial environments. He actively reviews scientific articles in his field and collaborates with international experts. Dr. Mahamed continues to push boundaries in robotics and intelligent systems to enable smarter, safer, and more adaptive automation technologies.

Award and Honor🏆

Dr. Hosham W. A. Mahamed has been recognized with several prestigious awards and scholarships throughout his academic career. In 2018, he was awarded a Full M.Sc. Scholarship by the Sudanese Ministry of Education, acknowledging his academic distinction. In 2019, he received a Ph.D. Scholarship and Travel Grant from both the China Scholarship Council (CSC) and the Sudanese Ministry of Higher Education and Scientific Research—marking international recognition of his research potential. He was also involved in major institutional projects, including the development of a snake robot at NUAA and robotic polishing solutions for industries in Quanzhou and Taizhou, China. In 2021 and 2022, he successfully completed industrial automation projects in collaboration with Chinese factories. Moreover, he was appointed as a reviewer for top-tier journals like International Journal of Advanced Manufacturing Technology and Machines in 2023. These honors reflect his academic commitment, innovation in robotics, and growing international presence in the engineering research community.

Research Skill🔬

Dr. Mahamed possesses a robust set of research skills in mechanical-electrical systems and robotic control. He is proficient in applying scientific methods to complex engineering challenges and has extensive experience with robotic simulation tools such as RoboDK, Gazebo, and MATLAB. His programming skills span C++, Python, and algorithm design for robotic path planning, force control, and sensor integration. He has a solid command of SolidWorks for mechanical design and utilizes ROS (Robot Operating System) for real-time robotic implementation. His research projects have involved designing adaptive impedance and admittance controllers, enabling robots to interact with dynamic surfaces effectively. He excels in conducting experimental setups, data analysis, and publishing findings in peer-reviewed outlets. With additional capabilities in writing, reviewing scientific manuscripts, and collaborative problem-solving, Dr. Mahamed demonstrates a mature and versatile research portfolio. His ability to translate theoretical models into practical applications sets him apart as a skilled and innovative researcher in intelligent robotics.

Conclusion💡

Dr. Hosham W. A. Mahamed is highly suitable for the Best Researcher Award due to his demonstrated excellence in robotics research, publication track record, international experience, and commitment to both academic and industrial advancements. His work has made tangible impacts in smart manufacturing and robotic automation, especially in force-controlled robotic systems.

If the selection committee values research novelty, real-world applications, and academic-industrial integration, he is a strong contender for this award.

Publications Top Noted✍

  • Title: Force tracking in robotic control systems using an online work object stiffness hybrid impedance PI control approach

  • Authors:

    • Hosham W. A. Mahamed

    • [Co-authors not listed — please provide names if available]

  • Year: 2025

  • Journal: Results in Engineering (Open Access)

Dongheon Lee | Medical Image Analysis | Best Researcher Award

Posted on by Computer Vision Awards

Prof . Dr . Dongheon Lee | Medical Image Analysis | Best Researcher Award

Assistant Professor at Seoul National University / College of Medicine, South Korea

Dr. Dongheon Lee is an Assistant Professor in the Department of Radiology at Seoul National University College of Medicine, with a joint appointment in the Interdisciplinary Program in Bioengineering. He specializes in medical image analysis, deep learning, and computer vision, with a strong emphasis on clinically relevant AI systems. His academic journey is deeply rooted in bioengineering, having completed both his M.S. and Ph.D. at Seoul National University. Dr. Lee has a proven record of innovation, evidenced by multiple high-impact publications and patents, many of which contribute directly to enhancing diagnostic accuracy and clinical workflow. He has served in leadership roles, including Deputy Director at Chungnam National University’s research institutes and active committee memberships. His research has received several national and international accolades, demonstrating both depth and translational impact. He continues to drive forward advancements at the intersection of AI and medical practice, with a focus on diagnostic technologies and clinical decision support.

Professional Profile 

Education🎓 

Dr. Dongheon Lee’s educational foundation is built on interdisciplinary expertise in bioengineering and medical imaging. He earned his Ph.D. in Bioengineering from Seoul National University in 2020, under the mentorship of Professor Hee Chan Kim. His doctoral research, titled “Deep Learning Approaches for Clinical Performance Improvement: Applications to Colonoscopic Diagnosis and Robotic Surgical Skill Assessment”, reflects his early focus on practical, AI-based clinical solutions. Prior to that, he completed his M.S. in the same interdisciplinary program at Seoul National University in 2015, where he also concentrated on medical image analysis. His academic journey began with a B.S. degree in Electronic System Engineering from Hanyang University in 2013, providing him with a strong technical foundation in systems engineering and computational methods. This combination of engineering, medicine, and AI has shaped his approach to research and allowed him to work at the intersection of technology and clinical application with considerable effectiveness.

Professional Experience📝

Dr. Dongheon Lee has held multiple academic and research roles that showcase a steady progression in responsibility and impact. He currently serves as an Assistant Professor in the Department of Radiology at Seoul National University College of Medicine. Prior to this, he was an Assistant Professor in the Department of Biomedical Engineering at Chungnam National University from 2021 to 2025. During that time, he also served as Deputy Director at both the Biomedical Engineering Research Institute and the Big Data Center at Chungnam National University Hospital. Earlier in his career, Dr. Lee worked as a Research Assistant Professor and Research Specialist at the Biomedical Research Institute of Seoul National University Hospital. These roles have enabled him to gain comprehensive experience across clinical, academic, and data-intensive research environments. His career reflects a sustained commitment to developing AI solutions for healthcare, combining technical skill with clinical relevance in both research and educational settings.

Research Interest🔎

Dr. Dongheon Lee’s research interests lie at the intersection of medical image analysis, artificial intelligence, and computer vision, with a strong focus on clinical application. He is particularly invested in developing deep learning frameworks for diagnostic accuracy, disease classification, and surgical skill assessment. His work addresses real-world challenges in radiology and endoscopy, such as colorectal polyp detection and lung cancer screening, through robust AI-driven solutions. Dr. Lee is also deeply interested in uncertainty quantification, out-of-distribution detection, and the interpretability of AI models in clinical workflows. His research aims to make AI not only accurate but also explainable and trustworthy in medical environments. By integrating multimodal data and advanced visualization techniques, he seeks to improve human-AI collaboration in diagnosis and treatment planning. His ongoing projects involve 3D anatomical modeling, radiograph-based biological age estimation, and virtual simulation technologies, all of which reflect his mission to bridge engineering innovation with practical healthcare delivery.

Award and Honor🏆

Dr. Dongheon Lee has received multiple prestigious awards that underscore the impact and innovation of his research. In 2023, he was honored with the Medical Research Academic Award from Chungnam National University Hospital, recognizing his contributions to clinical imaging research. The same year, he was a winner in the MICCAI Grand Challenge (LDCTIQAC 2023), a significant achievement in the international medical image computing community. Earlier, in 2020, he received both the Outstanding Paper Award from Seoul National University Hospital and the ICT Colloquium Minister of Science and ICT Award, conferred by the Korean government and the Institute for Information & Communications Technology Planning & Evaluation (IITP). These awards highlight his excellence in both academic and applied domains, demonstrating a consistent ability to innovate in healthcare technologies. His achievements reflect strong peer recognition and align with his commitment to advancing artificial intelligence in real-world medical settings.

Research Skill🔬

Dr. Dongheon Lee possesses a robust and diverse set of research skills that bridge engineering, medical imaging, and artificial intelligence. He is highly proficient in deep learning model development for classification, detection, segmentation, and uncertainty estimation tasks, particularly in the context of radiological and endoscopic data. His expertise extends to algorithmic optimization, multi-modal data fusion, and computational modeling, with a focus on practical deployment in clinical workflows. Dr. Lee is experienced in designing and validating AI systems with real-world datasets, ensuring clinical relevance and regulatory compliance. He has also developed patented technologies for 3D anatomical mapping, lesion tracking, and endoscopic path guidance. Additionally, he demonstrates strong capabilities in interdisciplinary collaboration, leading cross-functional teams in bioengineering, computer science, and clinical departments. His skills in grant writing, manuscript preparation, and research leadership complement his technical acumen, enabling him to contribute meaningfully to both academic advancement and translational medical innovation.

Conclusion💡

Dr. Dongheon Lee is exceptionally qualified and stands out as a top-tier candidate for the Best Researcher Award. His research has made tangible impacts in clinical medicine, particularly through AI-driven diagnostics and medical imaging. The combination of high-impact publications, innovation through patents, and recognized academic leadership makes his profile exemplary.

With minor enhancements in global outreach and broader authorship representation, he could further solidify his stature as a global leader in biomedical AI.

Publications Top Noted✍

  • Title: Improved accuracy in optical diagnosis of colorectal polyps using convolutional neural networks with visual explanations
    Authors: EH Jin, D Lee, JH Bae, HY Kang, MS Kwak, JY Seo, JI Yang, SY Yang, …
    Year: 2020
    Citations: 137

  • Title: Evaluation of surgical skills during robotic surgery by deep learning-based multiple surgical instrument tracking in training and actual operations
    Authors: D Lee, HW Yu, H Kwon, HJ Kong, KE Lee, HC Kim
    Year: 2020
    Citations: 104

  • Title: CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates
    Authors: H Kim, D Lee, WS Cho, JC Lee, JM Goo, HC Kim, CM Park
    Year: 2020
    Citations: 49

  • Title: Vision-based tracking system for augmented reality to localize recurrent laryngeal nerve during robotic thyroid surgery
    Authors: D Lee, HW Yu, S Kim, J Yoon, K Lee, YJ Chai, JY Choi, HJ Kong, KE Lee, …
    Year: 2020
    Citations: 29

  • Title: Deep learning to optimize candidate selection for lung cancer CT screening: advancing the 2021 USPSTF recommendations
    Authors: JH Lee, D Lee, MT Lu, VK Raghu, CM Park, JM Goo, SH Choi, H Kim
    Year: 2022
    Citations: 28

  • Title: Preliminary study on application of augmented reality visualization in robotic thyroid surgery
    Authors: D Lee, HJ Kong, D Kim, JW Yi, YJ Chai, KE Lee, HC Kim
    Year: 2018
    Citations: 27

  • Title: Estimating maximal oxygen uptake from daily activity data measured by a watch-type fitness tracker: cross-sectional study
    Authors: SB Kwon, JW Ahn, SM Lee, J Lee, D Lee, J Hong, HC Kim, HJ Yoon
    Year: 2019
    Citations: 23

  • Title: Augmented reality to localize individual organ in surgical procedure
    Authors: D Lee, JW Yi, J Hong, YJ Chai, HC Kim, HJ Kong
    Year: 2018
    Citations: 23

  • Title: Online learning for the hyoid bone tracking during swallowing with neck movement adjustment using semantic segmentation
    Authors: D Lee, WH Lee, HG Seo, BM Oh, JC Lee, HC Kim
    Year: 2020
    Citations: 21

  • Title: Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies
    Authors: S Pecere, G Antonelli, M Dinis‐Ribeiro, Y Mori, C Hassan, L Fuccio, …
    Year: 2022
    Citations: 17

  • Title: Low-dose computed tomography perceptual image quality assessment
    Authors: W Lee, F Wagner, A Galdran, Y Shi, W Xia, G Wang, X Mou, MA Ahamed, …
    Year: 2025
    Citations: 13

  • Title: Enhancing artificial intelligence-doctor collaboration for computer-aided diagnosis in colonoscopy through improved digital literacy
    Authors: Y Mori, EH Jin, D Lee
    Year: 2024
    Citations: 10

  • Title: Practical training approaches for discordant atopic dermatitis severity datasets: merging methods with soft-label and train-set pruning
    Authors: SI Cho, D Lee, B Han, JS Lee, JY Hong, JH Chung, DH Lee, JI Na
    Year: 2022
    Citations: 10

  • Title: Reliability of suprahyoid and infrahyoid electromyographic measurements during swallowing in healthy subjects
    Authors: MW Park, D Lee, HG Seo, TR Han, JC Lee, HC Kim, BM Oh
    Year: 2021
    Citations: 8

  • Title: Essential elements of physical fitness analysis in male adolescent athletes using machine learning
    Authors: YH Lee, J Chang, JE Lee, YS Jung, D Lee, HS Lee
    Year: 2024
    Citations: 7

  • Title: External testing of a deep learning model to estimate biologic age using chest radiographs
    Authors: JH Lee, D Lee, MT Lu, VK Raghu, JM Goo, Y Choi, SH Choi, H Kim
    Year: 2024
    Citations: 5

  • Title: Effect of an anti-adhesion agent on vision-based assessment of cervical adhesions after thyroid surgery: randomized, placebo-controlled trial
    Authors: HW Yu, D Lee, K Lee, S Kim, YJ Chai, HC Kim, JY Choi, KE Lee
    Year: 2021
    Citations: 5

  • Title: Augmented Reality-Based Visual Cue for Guiding Central Catheter Insertion in Pediatric Oncologic Patients
    Authors: JK Youn, D Lee, D Ko, I Yeom, HJ Joo, HC Kim, HJ Kong, HY Kim
    Year: 2022
    Citations: 4

  • Title: Texture-preserving low dose CT image denoising using Pearson divergence
    Authors: J Oh, D Wu, B Hong, D Lee, M Kang, Q Li, K Kim
    Year: 2024
    Citations: 2

  • Title: Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches
    Authors: Y Jo, D Lee, D Baek, BK Choi, N Aryal, J Jung, YS Shin, B Hong
    Year: 2023
    Citations: 2

Dharmapuri Siri | Software Engineering | Best Researcher Award

Posted on by Computer Vision Awards

Dr. Dharmapuri Siri | Software Engineering | Best Researcher Award

Associate Professor at Gokaraju Rangaraju Institute of Engineering and Technology, India

Dr. D. Siri is a committed academician and researcher with over 14 years of teaching and research experience in the field of Computer Science and Engineering. With a keen focus on emerging technologies like machine learning, deep learning, image processing, and smart systems, she has contributed extensively through journal publications, conference presentations, and collaborative research projects. Her academic journey showcases a strong foundation in computer science, culminating in a Ph.D. focused on software quality prediction using ML techniques. Beyond her research, Dr. Siri has demonstrated consistent participation in faculty development programs, technical workshops, and interdisciplinary conferences, reinforcing her commitment to lifelong learning. Her work reflects an integration of academic rigor and applied innovation, seen through her patent on smart vehicle systems and her involvement in smart agriculture, health diagnostics, and cyber-physical security systems. Dr. Siri is recognized for her proactive engagement in knowledge dissemination and contribution to the evolving landscape of intelligent technologies.

Professional Profile 

Education🎓 

Dr. D. Siri holds a Ph.D. in Computer Science and Engineering from JJT University, completed in 2022, where she specialized in software quality enhancement through machine learning. Her doctoral research focused on developing a predictive model for bug detection using advanced ML techniques. Prior to this, she earned her Master of Technology (M.Tech) in Computer Science and Engineering from JNTU Hyderabad, graduating with a strong academic foundation in programming, algorithms, and systems design. She also holds a Bachelor’s degree in Information Technology from Sreenivas Reddy Institute of Technology under JNTU Hyderabad, where she built her core technical skills. Her early education includes intermediate studies in Mathematics, Physics, and Chemistry with a 67.5% score and a 10th-grade certification from the Board of Secondary Education, Andhra Pradesh. Her steady academic progression reflects a strong commitment to developing both theoretical and applied competencies essential for success in the field of computing and data technologies.

Professional Experience📝

Dr. D. Siri brings a rich teaching background with over 14 years of experience in academia. She began her career in 2008 as an Assistant Professor at TRR Engineering College, Patancheru, and continued in the same role at TRR College of Engineering until 2017. Her professional journey then led her to Malla Reddy Engineering College for Women, where she further honed her teaching and mentoring capabilities in computer science. Currently, she serves as an Associate Professor in the Department of Computer Science and Engineering at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad. Throughout her career, she has taught a wide range of subjects including Software Engineering, Software Testing Methodologies, Machine Learning, and Data Structures. Her professional engagements are marked by a balance of teaching, research, and institutional development, with active involvement in organizing seminars, guiding student projects, and enhancing technical knowledge delivery through innovative and modern pedagogical techniques.

Research Interest🔎

Dr. D. Siri’s research interests lie at the intersection of machine learning, deep learning, software engineering, medical image processing, smart agriculture, IoT, and blockchain systems. Her doctoral work centered around predictive models for software bug detection, a crucial area in software quality assurance. She has expanded her research scope into cutting-edge domains such as sentiment analysis, diabetic retinopathy classification, underwater fish species recognition, and accelerometer-based activity recognition. Her conference papers showcase broad engagement across themes like AI-driven fraud detection, supply chain optimization using blockchain, and environmental sustainability through data-driven methods. Dr. Siri is particularly passionate about applying machine learning models to real-world problems, including energy harvesting, biofuel production analysis, and healthcare diagnostics. Her interest in smart homes, watermarking in relational databases, and secure communication protocols demonstrates her comprehensive approach to data science and security. Her future research aims to further integrate AI and sustainable technologies for intelligent, real-time, and human-centric solutions.

Award and Honor🏆

Dr. D. Siri’s academic recognition stems from her impactful research contributions and innovative projects across diverse domains of computer science. While specific institutional awards are not listed, her numerous conference participations at esteemed platforms such as IEEE, AIP, and E3S Web of Conferences reflect her recognition as a capable and contributing researcher. Notably, she has published a patent titled “A Vehicle with Smart Biometric Device” in the Indian Patent Office Journal in 2018, which marks a significant milestone in her career and showcases her applied research capabilities. Her consistent participation in high-impact international conferences, including those focused on IoT, AI, sustainable development, and intelligent systems, highlights her evolving professional stature. She has also been part of multiple multi-author collaborations, emphasizing her ability to engage in large-scale academic networks. These achievements underscore her growing influence and suitability for national or international honors such as the Best Researcher Award.

Research Skill🔬

Dr. D. Siri possesses a strong suite of research skills that span both theoretical and practical domains. She is proficient in machine learning and deep learning algorithms, with hands-on experience in model building, classification, clustering, and data analysis across multiple platforms. Her expertise extends to software engineering principles, bug prediction models, and data mining techniques, especially in image processing and real-time sensor data applications. Dr. Siri is skilled in research design, implementation, and performance analysis, using tools like Python, MATLAB, and open-source AI frameworks. Her ability to integrate cross-disciplinary knowledge into practical systems—e.g., smart agriculture, biometric systems, blockchain-enabled secure communications, and medical diagnostics—speaks to her versatility. She has demonstrated competence in publishing high-quality technical articles, collaborating in multi-author projects, and contributing to peer-reviewed journals. With a solid foundation in algorithms, data structures, and AI ethics, she is adept at conducting innovative, scalable, and socially impactful research.

Conclusion💡

Dr. D. Siri demonstrates a strong commitment to academic and applied research, with a focus on cutting-edge technologies such as machine learning, deep learning, blockchain, and image processing. Her recent publication momentum, wide interdisciplinary contributions, and teaching legacy make her a suitable and deserving candidate for the Best Researcher Award.

With improvements in high-impact journal publications, international presence, and research funding, she has the potential to further solidify her stature as a leading researcher in her field.

Publications Top Noted✍

  • Title: Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis
    Authors: LK Kumar, VN Thatha, P Udayaraju, D Siri, GU Kiran, BN Jagadesh, …
    Year: 2024
    Citations: 17

  • Title: Segmentation Using the IC2T Model and Classification of Diabetic Retinopathy Using the Rock Hyrax Swarm-Based Coordination Attention Mechanism
    Authors: BN Jagadesh, MG Karthik, D Siri, SKK Shareef, SV Mantena, R Vatambeti
    Year: 2023
    Citations: 14

  • Title: Breast Cancer Diagnosis from Histopathology Images Using Deep Learning Methods: A Survey
    Authors: V Patel, V Chaurasia, R Mahadeva, A Ghosh, S Dixit, B Suthar, V Gupta, D Siri, …
    Year: 2023
    Citations: 6

  • Title: Detecting Cardiomegaly from CXR Images Using a 2D and 1D Convolutional Neural Network-Based Classifier
    Authors: LR Kumar, K Sravanthi, ES Kiran, D Vinith, D Siri, SK Joshi
    Year: 2023
    Citations: 5

  • Title: Enhanced Deep Learning Models for Automatic Fish Species Identification in Underwater Imagery
    Authors: D Siri, G Vellaturi, SHS Ibrahim, S Molugu, VS Desanamukula, …
    Year: 2024
    Citations: 3

  • Title: Machine Learning Algorithm Application in Software Quality Improvement Using Metrics
    Authors: D Siri
    Year: 2019
    Citations: 3

  • Title: Automated System for Bird Species Identification Using CNN
    Authors: D Siri, S Desu, K Alladi, D Swathi, S Singh, V Srilakshmi
    Year: 2023
    Citations: 2

  • Title: Cloud Verse: Mapping the New Frontiers of Cloud Computing
    Authors: H Bommala, DH Tej, K Ramesh, M Sahil, D Siri, KI Usanova
    Year: 2024
    Citations: 1

  • Title: Study of a Fuzzy Logic-Based Approach to Supplier Selection
    Authors: S Singarapu, D Siri, DV Nemova
    Year: 2024
    Citations: 1

  • Title: Segment-Based Unsupervised Deep Learning for Human Activity Recognition Using Accelerometer Data and SBOA-Based Channel Attention Networks
    Authors: M Janardhan, A Neelima, D Siri, RS Kumar, N Balakrishna, N Sreenivasa, …
    Year: Not listed
    Citations: 1

  • Title: Bio-Inspired Feature Selection and Graph Learning for Sepsis Risk Stratification
    Authors: D Siri, R Kocherla, S Tumkunta, P Udayaraju, KC Gogineni, G Mamidisetti, …
    Year: 2025

  • Title: Enhancing Sparse Data Recommendations with Self-Inspected Adaptive SMOTE and Hybrid Neural Networks
    Authors: R Vatambeti, HP Gandikota, D Siri, G Satyanarayana, N Balayesu, …
    Year: 2025

  • Title: Piezoelectric Actuator Characterization Through Piezoresponse Force Microscopy (PFM) Analysis
    Authors: B Singh, RD Nautiyal, K Kumar, AK Pandey, D Siri
    Year: 2025

  • Title: Process Planning and Scheduling Optimization for Low Fossil-Carbon Manufacturing
    Authors: V Sharma, M Nautiyal, P Bhandari, L Govardhan, D Siri
    Year: 2025

  • Title: Analyzing Size’s Impact on Tensile Strength of Polymer Nanocomposites: Mechanical Testing and Material Characterization
    Authors: G Nijhawan, SS Sehgal, S Sharma, D Siri
    Year: 2025

  • Title: A Strong and Adaptable Watermarking Methodology for Relational Databases
    Authors: D Siri, S Sangeetha, P Kalaiselvi, D VC, HMM AlJawahry, R Behl
    Year: 2025

  • Title: Deep Learning Based Smart Home
    Authors: D Siri, KV Laxmi, NK Nivetha, R AlFatlawy, B Rampriya
    Year: 2025

    Title: Enhancing Strategic Marketing with AI-Driven Insights into Dynamic Preferences and Decision Patterns
    Authors: VH Raj, TMK Al-Rubaye, D Siri, N Sirisha, A Dutt
    Year: 2025

  • Title: Optimizing Crop Manufacturing: Combining IoT, Smart Technology, and Information Mining for Sustainable
    Authors: P Karuppasamy, D Siri, AS Shaik, TS Madhuri, MH Fallah
    Year: 2025

  • Title: Implementation and Impact Assessment of Organic Crop Rotation Techniques for Soil Health Improvement in Temperate Agroecosystems
    Authors: AH Shnain, Z Abed, D Siri
    Year: 2025

Daneesha Ranasinghe | Urban Planning | Best Researcher Award

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Ms . Daneesha Ranasinghe | Urban Planning | Best Researcher Award

Research Assistant at University of Moratuwa, Sri Lanka

Daneesha Ranasinghe is an emerging researcher in urban planning, currently pursuing a Master of Science by Research at the University of Moratuwa, Sri Lanka. With a robust academic background in Town and Country Planning, she specializes in integrating technology—particularly mobile augmented reality—into urban design to foster youth engagement and participatory development. Her research projects span disaster education, risk-sensitive planning, and community cohesion, with collaborations both locally and internationally, including with the University of Salford, UK. Daneesha has presented her work at prestigious conferences and has published in high-impact journals, earning accolades such as Best Paper at ICSBE 2024. In addition to her academic pursuits, she is deeply involved in student leadership, organizing technological exhibitions, delivering guest lectures, and engaging in outreach activities. Her interdisciplinary approach, strong communication skills, and technical expertise position her as a promising voice in shaping inclusive and resilient urban futures.

Professional Profile

Education🎓 

Daneesha Ranasinghe is academically grounded in urban and regional planning, beginning with her Bachelor of Science (Hons) in Town and Country Planning from the University of Moratuwa, where she graduated with a GPA of 3.41 (Second Class Upper Division) between 2017 and 2021. She is currently enrolled in a Master of Science by Research at the same institution, focusing on mobile augmented reality and youth engagement in urban planning. Her earlier education includes Advanced Level studies at D. S. Senanayake College in Ampara (2013–2015) and Ordinary Level studies at Pushpadana Girls’ College, Kandy (2007–2013). Complementing her formal education, Daneesha has completed certificate courses in Electronic Media Presentation and Editing (Best Media Network, 2016), and Professional English and Computer Applications (National Youth Services Council, 2013). Her educational trajectory reflects a blend of technical, technological, and communication-oriented learning, equipping her to tackle interdisciplinary challenges in urban research and innovation.

Professional Experience📝

Daneesha Ranasinghe currently serves as a Research Assistant at the University of Moratuwa, actively contributing to multiple cutting-edge research projects that blend technology with urban planning. Her professional experience includes involvement in initiatives such as the TRANSCEND project led by the University of Salford, UK, focusing on risk-sensitive urban development, and Project ENSEMBLE, which explores resilience and social cohesion through community and spatial transformation. She previously completed an internship at the Sri Lanka Tourism Development Authority as a Project Management Trainee. Daneesha has also contributed to university-funded research on involving children in urban planning and has served as a guest lecturer, presenting on applications of geo-informatics such as AR and VR in planning. Her work is not limited to academia; she has been part of event organizing committees, technological exhibitions, and public engagement programs, making her professional journey both dynamic and impactful in the fields of planning, education, and research dissemination.

Research Interest🔎

Daneesha Ranasinghe’s research interests lie at the intersection of urban planning, digital technology, and community engagement. She is particularly focused on how mobile augmented reality (AR) and gamification can be employed to enhance youth involvement in urban design and disaster education. Her academic work explores participatory planning methods, spatial data visualization, and interactive platforms to make urban development more inclusive, resilient, and data-driven. She has engaged in systematic literature reviews and empirical studies addressing flood preparedness, risk-sensitive urban development, and the use of serious games for social learning. Daneesha’s interest in child-friendly cities, crowdsourced data, and placemaking further reflects her passion for community-oriented and technology-driven research. Through collaborative projects and real-world implementations, she seeks to bridge the gap between policymakers, planners, and the public, particularly marginalized groups like youth and children. Her interdisciplinary approach aims to revolutionize how cities are designed, experienced, and sustained in the face of emerging global challenges.

Award and Honor🏆

Daneesha Ranasinghe has received several accolades in recognition of her academic and extracurricular excellence. Most notably, she was awarded Best Paper in the Special Session of Sustainable Construction at the 15th International Conference on Sustainable Built Environment (ICSBE) 2024. She is also a University Color Awardee at the Sri Lanka University Games (SLUG 2019) for her achievements in sports, including her role as a Karate (Kumite) Champion at the Western Province Karate Championship in 2019. In her school years, she received the School Color Award from Pushpadana Girls’ College in 2012 and participated actively in guiding and leadership activities. She has also been a delegate for UNICEF at the International Model United Nations (IMUN) 37.0, reflecting her engagement in global dialogue. Additionally, she has been recognized for her leadership in student associations such as the Young Planner’s Forum and the Mora Hiking Club, further showcasing her diverse and impactful contributions.

Research Skill🔬

Daneesha Ranasinghe demonstrates a diverse and practical skill set essential for contemporary urban research. Her technical proficiencies include GIS & Remote Sensing, AutoCAD, SketchUp Pro, and Unity, all of which support her development of augmented reality applications and spatial analyses. She is skilled in project management, critical thinking, team collaboration, and public communication, ensuring her effectiveness in both research and community engagement settings. Daneesha’s expertise in designing and deploying mobile and web-based platforms, including gamified applications and crowdsourcing tools, underscores her ability to merge technology with participatory planning. Her experience with data visualization and systematic literature reviews further enhances her analytical capacity. Through multi-institutional collaborations, she has refined her skills in stakeholder engagement, risk communication, and disaster education. Her fluency in academic writing and publishing in Q1/Q2 journals reflects a strong command of research communication. Overall, her skill set is both broad and specialized, ideal for interdisciplinary urban innovation.

Conclusion💡

Daneesha Ranasinghe exhibits outstanding potential and is a highly promising candidate for the Best Researcher Award, particularly in the early-career or emerging researcher category. Her innovative work in integrating mobile augmented reality, youth engagement, and participatory urban planning—along with strong publication records and international collaboration—marks her as an exceptionally forward-thinking researcher.

If the award category considers early-career excellence and potential, she is a strong contender. With time and further experience, she is also likely to become a top-tier candidate for major national and international recognitions in the research and urban innovation fields.

Publications Top Noted✍

  • Title: CityBuildAR: Enhancing Community Engagement in Placemaking Through Mobile Augmented Reality
    Authors: Daneesha Ranasinghe, Nayomi Kankanamge, Chathura Kovida De Silva, Nuwani Kangana, Rifat Mahamood, Tan Yigitcanlar
    Year: 2025
    Citation: Ranasinghe, D., Kankanamge, N., De Silva, C. K., Kangana, N., Mahamood, R., & Yigitcanlar, T. (2025). CityBuildAR: Enhancing Community Engagement in Placemaking Through Mobile Augmented Reality. Future Internet, 17(3), 115. https://doi.org/10.3390/fi17030115

  • Title: Bridging Community Engagement and Technological Innovation for Creating Smart and Resilient Cities: A Systematic Literature Review
    Authors: Nuwani Kangana, Nayomi Kankanamge, Chathura Kovida De Silva, Ashantha Goonetilleke, Rifat Mahamood, Daneesha Ranasinghe
    Year: 2024
    Citation: Kangana, N., Kankanamge, N., De Silva, C. K., Goonetilleke, A., Mahamood, R., & Ranasinghe, D. (2024). Bridging Community Engagement and Technological Innovation for Creating Smart and Resilient Cities: A Systematic Literature Review. Smart Cities, 7(6), 3823–3852. https://doi.org/10.3390/smartcities7060147

  • Title: CityBuildAR: Enhancing Community Engagement in PlaceMaking through Mobile Augmented Reality (Working Paper)
    Authors: Daneesha Ranasinghe, Nayomi Kankanamge, Chathura Kovida De Silva, Nuwani Kangana, Rifat Mahamood, Tan Yigitcanlar
    Year: 2024
    Citation: Ranasinghe, D., Kankanamge, N., De Silva, C. K., Kangana, N., Mahamood, R., & Yigitcanlar, T. (2024). CityBuildAR: Enhancing Community Engagement in PlaceMaking through Mobile Augmented Reality. Preprints, https://doi.org/10.20944/preprints202412.1327.v1

Huanyu Li | Underwater Image Captioning | Best Researcher Award

Posted on by Computer Vision Awards

Mr . Huanyu Li | Underwater Image Captioning | Best Researcher Award

Ph.D. Candidate at China University of Petroleum (East China), China

Huanyu Li is a Ph.D. candidate at the China University of Petroleum (East China), specializing in Marine Resources and Information Engineering. He is an emerging researcher in the field of underwater image processing, focusing on intelligent systems, cross-modal learning, and deep learning model compression. With an impressive array of publications in top-tier journals such as ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing, his work bridges advanced computer vision techniques with marine environmental applications. Huanyu Li has actively contributed to international conferences and serves as a reviewer for leading journals, showcasing his academic reliability and engagement. His interdisciplinary research has led to practical implementations, including real-time image captioning and lightweight CNNs for seed sorting systems. With a strong technical foundation and growing influence, he represents a new generation of researchers blending artificial intelligence with real-world marine challenges.

Professional Profile 

Education🎓 

Huanyu Li is currently pursuing a Doctoral degree (Ph.D.) at the China University of Petroleum (East China), majoring in Marine Resources and Information Engineering. His academic journey is rooted in a robust interdisciplinary curriculum that combines the fundamentals of marine sciences with advanced computational techniques. As a Ph.D. candidate, he has undertaken extensive coursework and research in areas such as underwater image processing, computer vision, deep learning, and semantic modeling. His education has been enriched through the development of research articles, participation in international academic conferences, and collaborative work with both faculty and fellow researchers. The rigorous academic environment at the China University of Petroleum has enabled him to explore emerging technologies, apply AI in marine domains, and develop innovative solutions for complex underwater imaging problems. This strong educational background has equipped him with both the theoretical knowledge and technical skillset necessary to lead research at the intersection of AI and oceanography.

Professional Experience📝

Although still in the doctoral phase of his academic career, Huanyu Li has gained significant professional experience through active participation in research projects, publication of scholarly articles, and peer-review activities. He has co-authored multiple research papers in collaboration with established academics and contributed to projects involving underwater image captioning, convolutional neural networks, and AI-based image analysis. His work spans across both journal articles and conference proceedings, where he has served as a presenting author and co-investigator. Additionally, Huanyu has contributed to practical applications such as real-time seed sorting systems, lightweight model deployment, and image enhancement techniques. He has also served as a reviewer for high-impact journals including IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition, and Neural Computing and Applications, indicating his integration into the broader scientific community. These professional activities have provided him with a rich experience in experimental design, algorithm development, and scholarly communication.

Research Interest🔎

Huanyu Li’s research interests lie at the intersection of artificial intelligence and marine environmental analysis. His primary focus is on underwater image intelligent processing, where he investigates techniques to enhance image quality, recognition, and interpretation in complex underwater environments. He is deeply engaged in image-semantic cross-modal learning, aiming to develop models that bridge visual content with textual understanding, such as underwater image captioning. Another core area of interest is deep learning model compression, where he explores methods to reduce model size and computational requirements without sacrificing performance—enabling real-time processing in resource-constrained scenarios. His research also touches on underwater acoustic communication and attention-based fusion techniques. These interests demonstrate a multidisciplinary approach that combines computer vision, machine learning, signal processing, and marine science. By leveraging AI-driven innovations, he aims to solve real-world challenges in ocean exploration, ecological monitoring, and underwater robotics.

Award and Honor🏆

While specific awards and honors are not detailed in the current profile, Huanyu Li’s accomplishments are evident through the recognition he has received from the academic community. His research has been published in leading international journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Information Fusion, and IEEE Transactions on Geoscience and Remote Sensing—a significant achievement for a doctoral researcher. Furthermore, his invited participation in major conferences and peer-review roles for journals like Pattern Recognition and Neural Networks suggest high regard among his peers. These roles are typically extended to researchers with proven expertise, highlighting his growing reputation. His innovative work on underwater image captioning and real-time image processing systems positions him as a strong candidate for future academic awards, fellowships, and research grants. His academic service, publication record, and practical contributions reflect an honors-worthy trajectory within the field of intelligent vision systems and marine computing.

Research Skill🔬

Huanyu Li possesses a comprehensive and evolving research skill set tailored to modern challenges in computer vision and underwater imaging. His core competencies include deep learning, particularly convolutional neural networks (CNNs), model pruning, and cross-modal learning. He is proficient in developing and optimizing AI algorithms for image captioning, classification, enhancement, and compression. His skills extend to semantic understanding of images, where he connects visual data to textual outputs, enhancing interpretability. Huanyu is also experienced in accelerated computing, using techniques like TensorRT for deploying real-time systems. Additionally, he has practical expertise in entropy-based optimization and 2D information theory for CNN design. His work includes implementing visual attention mechanisms and designing lightweight models for efficient deployment. With a hands-on approach to both algorithmic innovation and applied engineering, Huanyu’s research skills align with the needs of both academic exploration and real-world application in underwater exploration and smart marine systems.

Conclusion💡

Huanyu Li is a highly promising and technically proficient early-career researcher whose contributions in underwater image processing and intelligent systems are both innovative and well-published. His strong academic output, interdisciplinary research, and peer recognition make him a strong candidate for the Best Researcher Award, particularly in the emerging researcher or early-career category.

To further elevate his candidacy for broader or senior-level recognition, increasing leadership visibility, international collaboration, and showcasing real-world impact would be beneficial in the future.

Publications Top Noted✍

  • Title: Underwater Image Captioning via Attention Mechanism Based Fusion of Visual and Textual Information
    Authors: Li Li, Huanyu Li, Peng Ren
    Year: 2025
    Citation: DOI: 10.1016/j.inffus.2025.103269

  • Title: Underwater Image Captioning: Challenges, Models, and Datasets
    Authors: Huanyu Li, Hao Wang, Ying Zhang, Li Li, Peng Ren
    Year: 2025
    Citation: DOI: 10.1016/j.isprsjprs.2024.12.002

  • Title: An Underwater Acoustic Semantic Communication Approach to Underwater Image Transmission
    Authors: Ying Zhang, Huanyu Li, Bingyu Li, Li Li, Weibo Zhang, Hao Wang, Peng Ren
    Year: 2025
    Citation: DOI: 10.1007/s44295-025-00054-7

  • Title: A Real-Time and High-Performance MobileNet Accelerator Based on Adaptive Dataflow Scheduling for Image Classification
    Authors: Xiaoting Sang, Tianyi Ruan, Chunlei Li, Huanyu Li, Rui Yang, Zhen Liu
    Year: 2024
    Citation: DOI: 10.1007/s11554-023-01378-5

  • Title: INSPIRATION: A Reinforcement Learning-Based Human Visual Perception-Driven Image Enhancement Paradigm for Underwater Scenes
    Authors: Hao Wang, Shuhan Sun, Linlin Chang, Huanyu Li, Weibo Zhang, Alejandro C. Frery, Peng Ren
    Year: 2024
    Citation: DOI: 10.1016/j.engappai.2024.108411

  • Title: A Real-Time and High-Performance MobileNet Accelerator Based on Adaptive Dataflow Scheduling for Image Classification (Preprint)
    Authors: Xiaoting Sang, Tianyi Ruan, Chunlei Li, Huanyu Li, Rui Yang, Zhen Liu
    Year: 2023
    Citation: DOI: 10.21203/rs.3.rs-3132056

  • Title: An Accelerating Convolutional Neural Networks via a 2D Entropy Based-Adaptive Filter Search Method for Image Recognition
    Authors: Chunlei Li, Huanyu Li, Guangshuai Gao, Zhen Liu, Peng Liu
    Year: 2023
    Citation: DOI: 10.1016/j.asoc.2023.110326

  • Title: Real-Time Seed Sorting System via 2D Information Entropy-Based CNN Pruning and TensorRT Acceleration
    Authors: Chunlei Li, Huanyu Li, Liang Liao, Zhen Liu, Yizhou Dong
    Year: 2023
    Citation: DOI: 10.1049/ipr2.12747

  • Title: A Block-Based and Highly Parallel CNN Accelerator for Seed Sorting
    Authors: Xiaoting Sang, Zhenghui Hu, Huanyu Li, Chunlei Li, Zhen Liu
    Year: 2022
    Citation: DOI: 10.1155/2022/5608573

  • Title: Rapid and High-Purity Seed Grading Based on Pruned Deep Convolutional Neural Network
    Authors: Huanyu Li, Cuicao Zhang, Chunlei Li, Zhen Liu, Yizhou Dong, Shuhang Tang
    Year: 2022
    Citation: DOI: 10.1007/978-3-031-02444-3_8

  • Title: AMDet: An Efficient Infrared Small Object Detection Model Based on Visual Attention and Multi-Dilation Feature
    Authors: Cuicao Zhang, Yizhou Dong, Huanyu Li, Chunlei Li, Zhen Liu
    Year: 2021
    Citation: DOI: 10.1145/3497623.3497644

  • Title: SeedSortNet: A Rapid and Highly Efficient Lightweight CNN Based on Visual Attention for Seed Sorting
    Authors: Chunlei Li, Huanyu Li, Zhen Liu, Bing Li, Yong Huang
    Year: 2021
    Citation: DOI: 10.7717/peerj-cs.639

Debasish Roy | Emerging Trends and Future Directions | Best Researcher Award

Posted on by Computer Vision Awards

Dr . Debasish Roy | Emerging Trends and Future Directions | Best Researcher Award

CER Researcher at IIt Kharagpur, India

Dr. Debasish Roy, IPS, is a distinguished officer from the 1990 batch of the Indian Police Service, known for his dynamic leadership and research-driven approach to governance and public safety. With a rich blend of academic excellence and operational expertise, he has significantly contributed to modernization in law enforcement, including pioneering community outreach programs, technological upgrades, and capacity-building initiatives. His intellectual pursuits led to a Ph.D. in 2015, followed by multiple research publications in prestigious journals like IEEE and Elsevier. Dr. Roy has held several key positions across West Bengal, demonstrating exceptional competence in areas such as crime investigation, training, telecommunications, and administrative reform. As a technocrat and scholar, he brings a holistic and future-oriented vision to public service. His career reflects a unique integration of academic rigor with practical law enforcement, earning him commendations and accolades at the state and national levels.

Professional Profile 

Education🎓

Dr. Debasish Roy holds an exceptional academic portfolio encompassing degrees in engineering, computer applications, and management, topped with a doctorate. He began his academic journey with a Bachelor of Engineering (BE), followed by a Master of Computer Applications (MCA) and a Master of Technology (M.Tech), equipping him with advanced knowledge in technical systems and IT. He later pursued a Master of Business Administration (MBA), strengthening his foundation in leadership and administrative strategy. His academic trajectory culminated in a Ph.D. from Techno India University in 2015, where he focused on areas intersecting technology and governance. This multidisciplinary education has empowered Dr. Roy to bridge the gap between policy-making and research. His deep-rooted commitment to lifelong learning is evident not only in his formal degrees but also in the way he applies this academic acumen to practical challenges in law enforcement, human rights, and police training.

Professional Experience📝

With over three decades of experience in the Indian Police Service, Dr. Debasish Roy has served in numerous critical roles across West Bengal, contributing to law enforcement, public administration, and strategic modernization. He has held leadership positions such as Special Commissioner of Police, Kolkata, ADG & IGP in Training, Armed Police, Telecommunication, and Head of Enforcement Branch, among others. As a field officer, he displayed exceptional competence in district policing and crime investigation. In senior roles, he spearheaded institutional reforms, training programs, and community projects like Goalz and Sukanya. He played a pivotal role in implementing e-Governance within the West Bengal Human Rights Commission and conducted large-scale training of police recruits. His leadership in combating highway crime, poppy cultivation, and Maoist activities reflects his operational excellence, while his strategic innovations in telecommunications and digitization showcase his futuristic vision. His career blends grassroots action with policy-level transformation.

Research Interest🔎

Dr. Roy’s research interests lie at the confluence of technology, governance, public safety, and human rights. He is particularly passionate about exploring how digital transformation and intelligent systems can enhance the efficiency, transparency, and accountability of law enforcement agencies. His doctoral work and subsequent publications focus on police modernization, surveillance technologies, communication infrastructure, and community policing models. Dr. Roy also has a strong interest in e-Governance systems, especially their role in judicial and administrative reforms. As the publisher of a peer-reviewed journal on human rights, he promotes interdisciplinary scholarship that merges legal, ethical, and technological frameworks. His work highlights the importance of research-led innovation in public service delivery. Through field application and academic analysis, he continues to contribute to evolving discourses in security informatics, telecommunication frameworks for policing, and data-driven decision-making within public sector institutions.

Award and Honor🏆

Dr. Debasish Roy has been the recipient of numerous awards and honors that recognize his integrity, professionalism, innovation, and academic contribution. He has been conferred with the prestigious Indian Police Medal (IPM) and President’s Police Medal (PPM) for his distinguished service. He has received formal commendations from senior officials, including the Commissioner of Police, Kolkata, and Director General & Inspector General of Police, West Bengal, for exemplary leadership during critical events and public gatherings. His effective handling of law-and-order situations during festivals, elections, and high-risk operations has earned him accolades across different postings. Additionally, his contributions to training, e-Governance, and police modernization have been widely appreciated. His efforts in publishing and peer-reviewing academic content have also drawn recognition within the scholarly community. These honors reflect a rare combination of operational excellence, strategic innovation, and academic dedication in a high-stakes public service environment.

Research Skill🔬

Dr. Debasish Roy demonstrates a high level of competence in applied research methodologies, especially in integrating academic knowledge with field-level applications in policing and governance. He is proficient in technical writing, data analysis, and scholarly communication, having published multiple papers in reputed international journals like IEEE, Springer, Elsevier, and Taylor & Francis. His ability to lead and contribute to interdisciplinary research makes him adept at addressing complex societal problems through a combination of law enforcement insights and academic frameworks. Dr. Roy has practical experience in developing training modules, editing peer-reviewed journals, and leading institutional research initiatives, such as the Journal of Human Rights Commission. His strong analytical skills, combined with deep operational knowledge, allow him to frame relevant research questions, apply empirical methods, and derive actionable conclusions. His work exemplifies the application of research in technology adoption, human rights, and organizational development within public institutions.

Conclusion💡

Dr. Debasish Roy, IPS, demonstrates an outstanding and unique blend of public service leadership and academic excellence. His ability to implement research-driven reforms in law enforcement and governance, publish scholarly work, and lead institutional modernization initiatives makes him a strong candidate for the Best Researcher Award, especially in the domains of applied technology, human rights, e-governance, and public administration research.

Publications Top Noted✍

  • Title: Quantum-secure protocols for privacy preserving location based services
    Authors: Sushmita Sarkar, Tapaswini Mohanty, Vikas Srivastava, Debasish Roy, Sumit Kumar Debnath, Sihem Mesnager, Sourav Mukhopadhyay
    Year: 2025
    Citation: Optical Switching and Networking, October 2025, DOI: 10.1016/j.osn.2025.100811

  • Title: A New Hybrid Algorithm for Multivariate Polynomial System Solving
    Authors: Debasish Roy
    Year: 2024
    Citation: SN Computer Science, March 27, 2024, DOI: 10.1007/s42979-024-02645-3