Mustapha Omenesa Idris | Energy Application | Excellence in Research

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Dr. Mustapha Omenesa Idris | Energy Application | Excellence in Research

Researcher/Lecturer at Prince Abubakar Audu University, Nigeria

Dr. Mustapha Omenesa Idris is an accomplished researcher in materials chemistry and bio-electrochemical systems, specializing in microbial fuel cells, nanomaterials, and sustainable technologies. He has a strong academic record and a proven ability to integrate innovative solutions into practical applications, particularly in energy generation, waste valorization, and environmental remediation. His work demonstrates creativity, resilience, and the capacity to work under challenging conditions while mentoring students and collaborating with international research teams. Dr. Idris has an extensive publication record in high-impact journals, reflecting his dedication to advancing scientific knowledge. He is skilled in managing complex research projects, supervising students, and contributing to scientific communities through peer review, workshops, and seminars. His leadership, professionalism, and commitment to research excellence make him a highly valuable contributor to both academia and society, with a promising trajectory for future innovation and scientific leadership.

Professional Profile 

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Education

Dr. Mustapha Omenesa Idris earned his Bachelor of Science in Industrial Chemistry from Bayero University Kano with first-class honors, followed by a Master of Science in Industrial Chemistry from the University of Benin with distinction. He completed his Ph.D. in Material Chemistry and Advanced Materials at Universiti Sains Malaysia, where he focused on the design and application of graphene derivative anode electrodes for microbial fuel cells. His academic training provided a strong foundation in chemistry, nanomaterials, electrochemistry, and environmental remediation, equipping him with the expertise to address complex scientific challenges. Throughout his education, he demonstrated excellence in research, laboratory management, and analytical techniques, as well as the ability to conceptualize and implement innovative solutions. His training included both theoretical knowledge and practical application, preparing him for impactful contributions in energy generation, bio-waste conversion, and sustainable technologies. This strong educational background has been instrumental in shaping his research focus and professional achievements.

Professional Experience

Dr. Mustapha Omenesa Idris has extensive professional experience in academia and research, currently serving as a lecturer at Kogi State University. Over his career, he has been responsible for undergraduate and postgraduate teaching, laboratory setup and management, and supervision of numerous research projects. He has coordinated and guided students through final-year projects, postgraduate diplomas, and co-supervised MSc and Ph.D. research, particularly in the field of microbial fuel cells and advanced electrode materials. He has actively participated in workshops, conferences, and seminars, contributing to knowledge dissemination and professional development. His work has involved both national and international collaborations, demonstrating his ability to manage research projects across diverse teams. In addition to teaching and research, he has served as a peer reviewer for reputable journals, ensuring high-quality scientific contributions. His professional experience reflects a balance of academic leadership, research excellence, and mentorship.

Research Interest

Dr. Mustapha Omenesa Idris’s research interests focus on sustainable energy, environmental remediation, and advanced materials. He specializes in microbial fuel cells, exploring bio-electrochemical approaches for energy generation and wastewater treatment. His work involves the design, synthesis, and characterization of nanomaterials and graphene derivatives for efficient electrode applications. He is also interested in converting biowaste into value-added products, investigating electrochemical properties, and optimizing bioelectricity production. Additional research areas include electro-microbiology, phylogenetic analysis, photocatalytic degradation of pollutants, and the development of eco-sustainable technologies. Dr. Idris integrates theoretical knowledge with practical applications to address energy and environmental challenges, aiming for scalable and commercially viable solutions. His research contributes to both scientific understanding and societal impact, promoting sustainability and innovative solutions in materials chemistry and bio-electrochemical systems.

Award and Honor

Dr. Mustapha Omenesa Idris has received recognition for his academic excellence and research contributions. He was awarded the Sanggar Sanjung Award for outstanding student achievement at Universiti Sains Malaysia and received a Graduate on Time certificate for the timely completion of his Ph.D. His work has been acknowledged through publications in high-impact journals and invitations to present at conferences and workshops. He has also been recognized for his contributions to peer review, mentoring, and academic leadership. These awards and honors highlight his commitment to research quality, professional development, and knowledge dissemination. They reflect his dedication to advancing sustainable technologies and innovative materials research. Dr. Idris’s achievements demonstrate both academic excellence and practical impact, positioning him as a prominent figure in his field.

Research Skill

Dr. Mustapha Omenesa Idris possesses a wide range of research skills in materials chemistry, bio-electrochemical systems, and environmental technologies. He is proficient in the design, synthesis, and characterization of advanced electrode materials and nanomaterials, including graphene derivatives. He has expertise in microbial fuel cell setup, operation, and electrochemical measurements, as well as biowaste conversion and pollutant remediation. He is skilled in data analysis using software tools, literature review, scientific writing, and peer review. Additionally, he has experience in laboratory management, supervising undergraduate and postgraduate research projects, and coordinating collaborative research efforts. His ability to integrate theoretical understanding with practical experimentation enables him to contribute effectively to high-impact research. These skills, combined with his professional ethics, leadership, and communication capabilities, make him a versatile and accomplished researcher.

Publications Top Notes

Title: Exploring the effectiveness of microbial fuel cell for the degradation of organic pollutants coupled with bio-energy generation
Authors: MO Idris, HC Kim, AA Yaqoob, MNM Ibrahim
Year: 2022
Citation: 87

Title: Scalability of biomass-derived graphene derivative materials as viable anode electrode for a commercialized microbial fuel cell: a systematic review
Authors: MO Idris, C Guerrero-Barajas, HC Kim, AA Yaqoob, MNM Ibrahim
Year: 2023
Citation: 62

Title: Sustainable microbial fuel cell functionalized with a bio-waste: a feasible route to formaldehyde bioremediation along with bioelectricity generation
Authors: MO Idris, NAM Noh, MNM Ibrahim, AA Yaqoob
Year: 2023
Citation: 61

Title: Introduction of adsorption techniques for heavy metals remediation
Authors: MO Idris, AA Yaqoob, MNM Ibrahim, A Ahmad, MB Alshammari
Year: 2023
Citation: 44

Title: Extraction and Characterization of Chitosan from Crab Shells: Kinetic and Thermodynamic Studies of Arsenic and Copper Adsorption from Electroplating Wastewater
Authors: A Sumaila, MM Ndamitso, YA Iyaka, AS Abdulkareem, JO Tijani, MO Idris
Year: 2019
Citation: 36

Title: Synthesis and fabrication of palm kernel shell-derived modified electrodes: A practical step towards the industrialization of microbial fuel cells
Authors: MO Idris, MNM Ibrahim, NAM Noh, AA Yaqoob, MH Hussin
Year: 2023
Citation: 20

Title: Simultaneous naphthalene degradation and electricity production in a biowaste-powered microbial fuel cell
Authors: MO Idris, MNM Ibrahim, NAM Noh, AA Yaqoob, MH Hussin, IAM Shukri
Year: 2023
Citation: 17

Title: Biosynthesized metallic nanoarchitecture for photocatalytic degradation of emerging organochlorine and organophosphate pollutants: a review
Authors: SS Emmanuel, MO Idris, CO Olawoyin, AA Adesibikan, AA Aliyu
Year: 2024
Citation: 16

Title: Removal of toxic metal ions from wastewater through microbial fuel cells
Authors: AA Yaqoob, MO Idris, A Ahmad, NNM Daud, MNM Ibrahim
Year: 2022
Citation: 15

Title: Photocatalytic degradation of maxilon dye pollutants using nano‐architecture functional materials: a review
Authors: SS Emmanuel, AA Adesibikan, CO Olawoyin, MO Idris
Year: 2024
Citation: 14

Title: Structural properties of thermoluminescence dosimeter materials, preparation, application, and adaptability: a systematic review
Authors: GI Efenji, SM Iskandar, NN Yusof, JA Rabba, OI Mustapha, IM Fadhirul
Year: 2024
Citation: 11

Title: A review on eco‐sustainable photocatalytic degradation of pharmaceutical pollutants using biosynthesized nanoparticles
Authors: SS Emmanuel, AO Esan, FSO Afigo, AA Adesibikan, MO Idris
Year: 2024
Citation: 10

Title: Impact of Commercial Sugar as a Substrate in Single‐Chamber Microbial Fuel Cells to Improve the Energy Production with Bioremediation of Metals
Authors: M Omenesa Idris, N Al-Zaqri, I Warad, AMA Hossain, N Masud, M Ali
Year: 2023
Citation: 10

Title: Electrochemical measurements of microbial fuel cells (MFCs)
Authors: MO Idris, AA Yaqoob, MNM Ibrahim, NAM Noh, NNM Daud
Year: 2022
Citation: 9

Title: Assessment of biomass material as valuable electrode for high energy performance in microbial fuel cell with biodegradation of organic pollutant
Authors: MO Idris, MNM Ibrahim, NAM Noh, AA Yaqoob, NNM Daud, MH Hussin
Year: 2024
Citation: 8

Title: Biomass-derived activated carbon: a viable material for remediation of pb2+ and 2, 4-dichlorophenol (2, 4 DCP) through adsorption
Authors: MO Idris, AO Usman, Q Musa, AI Suleiman, JL Emmanuel, P Sambo
Year: 2021
Citation: 6

Title: Oxidation of vegetable waste and organic pollutant degradation to generate energy through microbial fuel cell
Authors: MO Idris, NAM Noh, MNM Ibrahim, AA Yaqoob, R Almeer, K Umar
Year: 2024
Citation: 5

Title: DETERMINATION OF ACTIVITY CONCENTRATION OF RADIOACTIVE ELEMENTS IN BOREHOLE AND WELL WATER SAMPLES FROM ADANKOLO NEW LAYOUT LOKOJA
Authors: GI Efenji, E E.K, I I, O S.F, FO Uloko, JA Nakale, KJ Ayua, MO Idris
Year: 2022
Citation: 4

Title: Spores and extracts of entomopathogenic fungal isolate (Paecilomyces formosus) as potential biolarvicide of anopheles mosquitoes
Authors: AI Suleiman, A Nasidi, R Nasir, JL Emmanuel, NS Sadi, MO Idris
Year: 2021
Citation: 3

Title: Isolation and characterization of select Crab Shells obtained
Authors: A Sumaila, MM Ndamitso
Year: 2020
Citation: 3

Conclusion

Dr. Mustapha Omenesa Idris is a deserving candidate for the Best Researcher Award due to his significant contributions to materials chemistry, bio-electrochemical systems, and sustainable technologies. His work in microbial fuel cells, nanomaterials, and environmental remediation has both scientific and societal impact, addressing critical energy and environmental challenges. With his strong track record of research, mentorship, and international collaboration, he has the potential to lead innovative projects and inspire future advancements in his field.

Mohamed Hebaishy | Computer Vision | Excellence in Computer Vision Award

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Assoc. Prof. Dr. Mohamed Hebaishy | Computer Vision | Excellence in Computer Vision Award

Associate Prof. in ERI at Electronics Research Institute, Egypt

Dr. Mohamed Ahmed Hebaishy is a distinguished researcher with extensive expertise in biometrics, iris recognition, image processing, computer vision, and satellite imaging. He has made remarkable contributions through his work in human identification systems, advanced image representation, and security technologies. His career spans academia, research institutions, and international collaborations, combining theoretical innovation with real-world applications in areas such as space research and remote sensing. He has published in reputed journals and conferences, including IEEE and Springer platforms, and actively engages in research that bridges science and technology. Beyond his research output, he has held significant leadership roles, mentored graduate students, and reviewed research projects for universities and conferences. His diverse professional experiences, strong academic foundation, and continuous pursuit of impactful research highlight his commitment to advancing scientific knowledge and addressing global challenges, making him a valuable contributor to the academic and research community.

Professional Profile 

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Education

Dr. Mohamed Ahmed Hebaishy completed his Bachelor of Science in Electronic Engineering with a focus on automatic control and measurements at Menoufia University, where he built a strong foundation in control systems and electronics. He later pursued a Master of Science degree in Electronics and Communication at Cairo University, with his thesis centered on developing a fuzzy controller for flexible joint manipulators, reflecting his early focus on control and automation. His academic journey culminated in earning a Doctor of Philosophy in Information Technology from Vladimir State University in the Russian Federation, specializing in control system analysis and data processing. His doctoral thesis focused on using iris image processing in human identification systems, marking the beginning of his long-term contributions to the field of biometrics. Through these academic achievements, he has combined expertise in engineering, computing, and data-driven technologies, equipping him with the knowledge and skills to contribute meaningfully to interdisciplinary research.

Professional Experience

Dr. Mohamed Ahmed Hebaishy has built a rich professional career across academia and research institutions, holding positions that span lecturer, assistant professor, and department head roles. He has served as a researcher at the Electronics Research Institute, contributing to significant projects in informatics and computer science. His work extended to leadership in national space programs, where he played a key role in satellite image processing and payload command systems for EgyptSat missions. He also gained international academic experience as an assistant professor at Shaqra University in Saudi Arabia, where he later became head of the computer science department. His contributions include guiding research projects, supervising theses, and leading academic initiatives. Additionally, he has been a reviewer for major universities and scientific conferences, reflecting his involvement in shaping the academic community. His experience demonstrates a balance of teaching, research, and leadership, making him a well-rounded academic and professional.

Research Interest

Dr. Mohamed Ahmed Hebaishy’s research interests lie at the intersection of biometrics, image processing, computer vision, and artificial intelligence, with a strong emphasis on human identification systems and security technologies. He has worked extensively on iris recognition, exploring innovative approaches to enhance accuracy and efficiency in biometric applications. His interests also extend to satellite imaging and remote sensing, where he has contributed to projects in national space programs, including the development of image processing systems for EgyptSat satellites. In recent years, his focus has broadened to include advanced methods in pattern recognition, machine learning, and computer-aided automation systems. He is also engaged in applied research addressing real-world challenges such as waste sorting, wireless communication, and medical applications of imaging. His diverse interests reflect a commitment to advancing cutting-edge technologies that improve security, automation, and sustainability, while also fostering new interdisciplinary pathways in computer science and engineering.

Award and Honor

Throughout his career, Dr. Mohamed Ahmed Hebaishy has received recognition for his contributions to research, teaching, and leadership within the fields of biometrics, image processing, and space technology. His involvement in the EgyptSat satellite programs and ITIDA-funded security projects demonstrated his ability to translate research into impactful applications, earning him acknowledgment within the scientific community. He has also been invited as a reviewer for universities, research conferences, and scientific committees, reflecting trust in his expertise and judgment. His leadership as head of the computer science department at Shaqra University further highlights his role in shaping academic excellence and guiding student development. While his curriculum vitae does not list specific awards, his record of sustained contributions, successful project leadership, and active engagement in international research platforms stands as a form of recognition in itself. His ongoing publications in reputed journals further strengthen his professional standing as a dedicated and accomplished researcher.

Research Skill

Dr. Mohamed Ahmed Hebaishy possesses a broad set of research skills that reflect his deep expertise in both theoretical and applied aspects of computer science and engineering. He is skilled in biometric system design, with specialization in iris recognition, image processing algorithms, and human identification technologies. His technical capabilities extend to satellite image analysis, data processing, and control systems, where he has led projects involving payload command systems for national space programs. He is proficient in developing and applying advanced algorithms, including fuzzy logic, wavelet transforms, and optimization techniques, to solve complex research problems. His experience also covers interdisciplinary areas such as wireless communication systems, security applications, and automated testing tools. Beyond technical expertise, he has strong skills in project leadership, academic supervision, and research collaboration, enabling him to contribute effectively to both academic and applied research communities. His skill set demonstrates adaptability, innovation, and problem-solving ability.

Publications Top Notes

Title: A comparative study of QTP and load runner automated testing tools and their contributions to software project scenario
Authors: M Imran, M Hebaishy, AS Alotaibi
Year: 2016
Citation: 12

Title: Road extraction from high resolution satellite images by morphological direction filtering and length filtering
Authors: TM Talal, MI Dessouky, A El-Sayed, M Hebaishy, FA El-Samie
Year: 2008
Citation: 12

Title: Increasing the Efficiency of Iris Recognition Systems by Using Multi-Channel Frequencies of Gabor Filter
Authors: AS Alotaibi, MA Hebaishy
Year: 2014
Citation: 7

Title: Extraction of roads from high-resolution satellite images with the discrete wavelet transform
Authors: TM Talal, A El-Sayed, M Hebaishy, MI Dessouky, SA Alshebeili
Year: 2013
Citation: 4

Title: Optimized Daugman’s algorithm for iris localization
Authors: MA Hebaishy
Year: 2008
Citation: 4

Title: Sibs: A sparse encoder utilizing self-inspired bases for efficient image representation
Authors: AN Omara, MA Hebaishy, MS Abdallah, YI Cho
Year: 2024
Citation: 3

Title: Poster: Optimized Daugman’s algorithm for iris localization
Authors: M Hebaishy
Year: 2008
Citation: 3

Title: Fast Fingerprint Identification based on the DoG Filter
Authors: MA Hebaishy, FA Syam
Year: 2025

Title: S-shaped patch antenna array for automotive applications in X-band for wireless communications
Authors: MA Hebaishy
Year: 2024

Title: Building an automatic waste sorting system with controller based wireless sensor smart segregation system
Authors: MA Hebaishy
Year: 2024

Title: Security system based on human iris
Authors: HS Ahmed, MA Hebaishy
Year: 2014

Title: Attitude determination for geostationary satellite using optimized real time image registration algorithm
Authors: AE OA Elsayed, A Farrag, M Hebaishy
Year: 2009

Title: Texture analysis of the human iris for high authentication
Authors: MA Hebaishy, BV Gerkov
Year: 2002

Title: Using phase demodulator for encoding iris
Authors: AS Alotaibi, MA Hebaishy

Conclusion

Dr. Mohamed Ahmed Hebaishy is highly deserving of the Best Researcher Award for his significant contributions to biometrics, image processing, and satellite imaging, which have advanced both scientific understanding and practical applications in security and space research. His extensive academic career, impactful publications, leadership roles, and dedication to mentoring students highlight his commitment to advancing knowledge and fostering innovation. With his proven expertise and strong foundation in applied research, he is well positioned to continue driving advancements in computer vision, human identification systems, and international collaborations, further strengthening his role as a leader in research and society.

Christine Carrie Bruce | Digital Pathology | Best Researcher Award

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Ms. Christine Carrie Bruce | Digital Pathology | Best Researcher Award

Senior Program Director at University Health Network, Canada

Christine Bruce is a distinguished healthcare leader and researcher whose career spans leadership in laboratory medicine, digital pathology, and healthcare transformation. She has demonstrated expertise in advancing diagnostic services, implementing innovative solutions in laboratory operations, and leading system-level strategies that improve patient care and access. Her contributions extend from establishing large-scale COVID-19 testing operations to pioneering digital pathology for rural and remote communities, ensuring equitable healthcare delivery across regions. She has authored and co-authored impactful publications in high-impact journals and has actively shared knowledge through national and international conferences. Christine also plays a vital role in academia, mentoring students and professionals through teaching, lectures, and professional board service. With a strong focus on healthcare integration, innovation, and applied research, she continues to bridge the gap between research, policy, and clinical practice. Her leadership, research contributions, and dedication to advancing laboratory medicine highlight her as a prominent figure in the field.

Professional Profile 

Scopus Profile

Education

Christine Bruce has pursued a lifelong commitment to education and professional development in healthcare and management. She began her academic journey with a Diploma in Medical Laboratory Science from St. Lawrence College, which laid the foundation for her clinical and technical expertise. She later earned a Bachelor of Health Administration in Health Services Management from Toronto Metropolitan University, followed by a Master of Health Administration in Community Care from the same institution. Christine is currently pursuing a Doctor of Business Administration at Heriot Watt University in Edinburgh, reflecting her dedication to combining research with practical healthcare leadership. Alongside formal degrees, she has acquired advanced certifications, including a Lean Sigma Black Belt, a Lean Sigma Green Belt, and a Clinical Laboratory Quality Manager Certificate, which enhance her capacity for innovation, quality improvement, and system optimization. She is also recognized as a Certified Health Executive by the Canadian College of Health Leaders, underscoring her academic and professional excellence.

Professional Experience

Christine Bruce has built a distinguished career through progressive leadership roles in healthcare organizations across Canada. She currently serves as Executive Director of Regionalization for Northwest Ontario Laboratory Services and as Senior Director of the Laboratory Medicine Program at University Health Network, where she oversees one of the country’s largest laboratory medicine programs. In these roles, she leads teams of hundreds of professionals and physicians, managing multimillion-dollar budgets while driving transformative initiatives such as digital pathology adoption, standardized quality management, and advanced workforce development. She previously held leadership positions at Sinai Health, where she helped establish Ontario’s largest COVID-19 testing facility, and at Grand River Hospital and St. Mary’s General Hospital, where she directed integrated laboratory services. Her earlier career includes senior roles at LifeLabs, where she contributed to quality systems and business development. Christine’s work has consistently emphasized system integration, operational efficiency, and innovative models of care that advance patient outcomes.

Research Interest

Christine Bruce’s research interests focus on the intersection of laboratory medicine, healthcare innovation, and digital transformation. She is particularly passionate about advancing digital pathology and implementing diagnostic technologies that improve access to high-quality care in underserved and remote communities. Her work explores practical applications of research to transform health systems, including biomarker implementation, laboratory service optimization, and integration of artificial intelligence into clinical diagnostics. She has also contributed significantly to pandemic-related research, particularly in scaling up COVID-19 diagnostic services and developing system-level strategies for rapid response and resiliency. Christine’s interests extend to healthcare workforce innovation, where she studies new models of professional roles and interdisciplinary academic practice to address national shortages in laboratory science. Through collaborative and translational research, she aims to align scientific discovery with policy and clinical implementation, ensuring measurable improvements in patient care, healthcare accessibility, and system sustainability while positioning Canada as a leader in laboratory innovation.

Award and Honor

Christine Bruce has received numerous awards and honors that reflect her outstanding contributions to healthcare, research, and professional leadership. She was recognized with the A.R. Shearer Pride of the Profession Award by the Canadian Society for Medical Laboratory Science for her dedication to advancing laboratory medicine. At University Health Network, she received the Local Impact Award for her leadership in driving system transformation and innovation. She was also awarded an Honorary Diploma from St. Lawrence College, acknowledging her significant contributions to education and the profession. Christine has been a nominee for the Premier’s Award for College Graduates, which highlights individuals who have made extraordinary achievements in their fields. Other notable recognitions include the Gaman Modi Award of Excellence, the Founders Fund Award, and the PreAnalytical Excellence Award, each highlighting different facets of her impact from research excellence to operational innovation. These honors collectively underscore her national influence and professional distinction.

Research Skill

Christine Bruce possesses a diverse range of research skills that have enabled her to make impactful contributions to laboratory medicine and healthcare innovation. She is skilled in applied clinical research, with expertise in designing and implementing studies that translate directly into improved patient care and healthcare delivery models. Her proficiency in digital pathology, biomarker implementation, and diagnostic system transformation demonstrates her ability to integrate emerging technologies into practical clinical settings. She has extensive experience with quality management systems, Lean Six Sigma methodologies, and data-driven performance evaluation, which enhance her capability to conduct rigorous research with measurable outcomes. Christine is also adept at collaborative and interdisciplinary research, working across academic institutions, hospitals, and health networks to achieve shared objectives. Her skills in academic writing and dissemination are evident in her publications in high-impact journals, as well as her presentations at international conferences. Collectively, these skills position her as a strong applied research leader.

Publications Top Notes

Title: Guidance for securing approvals for new biomarkers: from discovery to clinical implementation

Authors: Harriet Feilotter, Christine Bruce, Eleftherios P. Diamandis, Miyo K. Chatanaka, George M. Yousef

Year: 2024

Citation: 3

Summary: This review article provides a comprehensive guide for the technical and clinical validation parameters necessary for the successful commercialization of molecular biomarkers. It outlines the various steps involved in translating a molecular discovery into clinical practice, emphasizing the importance of rigorous validation processes. The paper also discusses different options for regulatory approvals, including companion diagnostics, laboratory-developed tests, and direct-to-consumer testing, highlighting the complexities and considerations at each stage of biomarker development.

Conclusion

Christine Bruce is highly deserving of the Best Researcher Award for her exceptional contributions to laboratory medicine, digital pathology, and healthcare transformation. Her research has advanced diagnostic science, improved access to high-quality laboratory services, and shaped policy and practice across Canada. With her ongoing academic engagement, leadership roles, and dedication to innovation, she demonstrates strong potential for continued impact in both national and global research communities, making her a distinguished candidate for this recognition.

Keqing Shi | Pathology | Best Researcher Award

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Prof. Keqing Shi | Pathology | Best Researcher Award

Director at The First Affiliated Hospital of Wenzhou Medical University, China

Dr. Shi Keqing is a distinguished professor, deputy chief physician, and doctoral supervisor with expertise in mechanobiology and cancer research. Over the past several years, he has made significant contributions to translational medicine, aiming to address pressing clinical challenges through innovative research. He has authored multiple high-impact publications in leading international journals and holds authorized invention patents, showcasing his strong scientific productivity and innovation. In addition to his academic achievements, he has successfully led major research projects supported by national and provincial foundations, demonstrating strong leadership and commitment to advancing medical science. He has also played a key role in establishing a clinic-based biomechanics platform, bringing together a multidisciplinary research team to bridge clinical applications with scientific exploration. His editorial responsibilities further highlight his role in shaping academic discourse, while his active involvement in talent development reflects his dedication to nurturing the next generation of researchers.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Dr. Shi Keqing pursued rigorous medical training, culminating in an MD degree, which laid a solid foundation for his career in clinical medicine and scientific research. His academic journey combined both clinical expertise and research excellence, enabling him to bridge the gap between medical practice and scientific inquiry. Through his education, he acquired strong theoretical knowledge in biology, medicine, and cancer research, complemented by practical training in advanced clinical methodologies. His exposure to diverse academic environments provided him with the analytical and problem-solving skills necessary to address complex medical challenges. This solid educational background allowed him to progress into specialized fields such as mechanobiology and translational medicine. With a commitment to academic growth, he pursued further learning and research opportunities, shaping his career as both a clinician and a scientist. His educational path reflects a balance of clinical medicine and innovative biomedical research, preparing him to contribute significantly to multidisciplinary advancements.

Professional Experience

Dr. Shi Keqing has established a remarkable professional career as a professor, deputy chief physician, and doctoral supervisor, integrating both academic and clinical responsibilities. His professional journey includes leading multiple research projects funded by the National Natural Science Foundation, provincial research programs, and ministry-level initiatives, reflecting his expertise in project management and scientific innovation. In addition to his research contributions, he has played a significant role in mentoring doctoral students and building a multidisciplinary team dedicated to translational medicine. He has also contributed to the development of a clinic-based biomechanics platform, which serves as a hub for collaborative studies between clinicians and researchers. Beyond his institutional responsibilities, Dr. Shi serves as a member of the editorial board of the Journal of Clinical and Translational Hepatology, actively contributing to academic publishing and peer review. His combined clinical practice and academic leadership underline his commitment to advancing both patient care and scientific discovery.

Research Interest

Dr. Shi Keqing’s research interests focus on mechanobiology and cancer, with an emphasis on developing translational strategies that connect fundamental science with clinical applications. His work explores how mechanical forces and biological processes interact in cancer development and progression, aiming to uncover new therapeutic approaches for improving patient outcomes. In addition to cancer research, he is interested in biomaterials, tissue repair, immunotherapy, and advanced diagnostic technologies, reflecting the multidisciplinary nature of his scientific approach. He has contributed to the development of innovative biomaterials for wound healing, novel drug delivery platforms, and advanced biosensors for cancer detection. His research also extends to exploring genetic and molecular mechanisms that influence immune responses and tumor microenvironments. By combining experimental studies with clinical applications, his research contributes to the creation of practical solutions to pressing medical challenges. His overarching goal is to address critical health issues by integrating scientific discovery with clinical innovation.

Award and Honor

Dr. Shi Keqing has been widely recognized for his contributions to medical research and has received numerous honors and distinctions throughout his career. He has been selected as a high-level top talent among leading academics in Zhejiang Province and has been included in the Academician Pair Youth Talent Training Program, demonstrating recognition of his leadership potential in academia. He has also been named among the young top talents of the Wenzhou Ou Yue Yingtalent Plan and the second level of the Wenzhou 551 Talent Project, reflecting both regional and institutional acknowledgment of his scientific achievements. His role as an editorial board member of the Journal of Clinical and Translational Hepatology highlights his influence in the international academic community. These awards and honors emphasize not only his research excellence but also his dedication to advancing clinical applications through translational medicine. They underscore his leadership, vision, and sustained contributions to biomedical research.

Research Skill

Dr. Shi Keqing has developed advanced research skills that encompass a wide range of techniques in mechanobiology, cancer biology, and translational medicine. He is skilled in integrating molecular biology, cell biology, and biomaterials research to design innovative therapeutic strategies. His expertise includes developing bio-inspired materials for tissue repair, exploring immune modulation mechanisms, and advancing cancer diagnostics through biomarker detection and nanotechnology. He has demonstrated strong proficiency in leading clinical and laboratory collaborations, establishing platforms that bring together multidisciplinary teams to tackle complex medical problems. His research skills extend to managing large-scale funded projects, authoring high-impact scientific publications, and guiding doctoral candidates in their academic growth. Additionally, he has expertise in applying computational approaches to medical imaging and pathology analysis, which strengthens his work in precision medicine. His ability to connect laboratory research with clinical translation demonstrates a holistic skill set that supports both scientific innovation and patient-centered outcomes.

Publications Top Notes

Title: A dynamically phase-adaptive regulating hydrogel promotes ultrafast anti-fibrotic wound healing
Year: 2025
Citation: 13

Title: Hepatic FXR-FGF4 is required for bile acid homeostasis via an FGFR4-LRH-1 signal node under cholestatic stress
Year: 2025
Citation: 13

Title: Piezo1-Mediated Ferroptosis Delays Wound Healing in Aging Mice by Regulating the Transcriptional Activity of SLC7A11 through Activating Transcription Factor 3
Year: 2025
Citation: 2

Title: Modulation of Macrophage ferroptosis under the guide of infrared thermography promotes the healing of pressure injuries
Year: 2025

Title: Natural, safety immunomodulatory derivatives of lactobacillus biofilms promote diabetic wound healing by metabolically regulating macrophage phenotype and alleviating local inflammation
Year: 2025

Title: Dental Pulp Stem Cell Lysate-Based Hydrogel Improves Diabetic Wound Healing via the Regulation of Anti-Inflammatory Macrophages and Keratinocytes
Year: 2024
Citation: 2

Title: Nanoparticles Fueled by Enzyme for the Treatment of Hyperlipidemic Acute Pancreatitis
Year: 2024
Citation: 2

Title: ACURAT: Advancing tuberculosis detection through assembled PCR & CRISPR for ultra-sensitive Rifampin-resistant analysis testing
Year: 2024
Citation: 3

Title: Sequential Regulation of Local Reactive Oxygen Species by Ir@Cu/Zn-MOF Nanoparticles for Promoting Infected Wound Healing
Year: 2024
Citation: 3

Title: Enteral nutrition in the management of acute pancreatitis: Modulates gut microbiome and alleviates inflammation
Year: 2024
Citation: 2

Conclusion

Overall, Dr. Shi Keqing stands out as a highly deserving candidate for the Best Researcher Award due to his impactful contributions at the intersection of mechanobiology and cancer research, his leadership in multidisciplinary translational medicine, and his dedication to solving clinical problems through innovative science. His impressive publication record, funded projects, and professional recognition underline his excellence, while his future potential lies in expanding his global collaborations and leadership roles, ensuring continued advancement of both research and clinical applications for the benefit of society.

Gehendra Sharma | Manufacturing Science | Best Researcher Award

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Mr. Gehendra Sharma | Manufacturing Science | Best Researcher Award

Research Engineer at Mississippi State University, United States

Mr. Gehendra Sharma is a mechanical engineer and research professional with extensive experience in designing, optimizing, and analyzing complex mechanical systems. He has a strong background in coupled system design, robust design, surrogate modeling, finite element modeling, data analysis, and machine learning approaches applied to engineering design. Over his career, he has contributed to national defense projects, biomedical device development, and advanced manufacturing research, demonstrating his ability to translate theoretical methods into practical solutions. He has an impressive publication record, including research in high-quality journals and conferences, reflecting his commitment to advancing engineering knowledge. Alongside his technical expertise, he has been actively involved in mentoring students, leading academic initiatives, and volunteering in social and educational programs. His professional achievements are complemented by his dedication to teaching and knowledge sharing, making him a well-rounded researcher with strong leadership, innovation, and societal impact potential.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile

Education

Mr. Gehendra Sharma earned his Master of Science in Mechanical Engineering from the University of Oklahoma, where he focused on designing coupled engineered systems under uncertainty and studied multi-criteria optimization, design theory, data-driven decision making, and applied statistical methods. His research involved integrating robust design methodologies into cloud-based systems to archive design knowledge and support design exploration. Prior to his master’s, he completed his Bachelor of Technology in Mechanical Engineering from Motilal Nehru National Institute of Technology, where he worked on mechanization and prototyping of a domestic roti roller and studied a wide range of mechanical engineering topics including machine design, thermodynamics, fluid mechanics, material science, and computer-aided design. His academic journey has been marked by consistently high performance, merit scholarships, and practical projects that combined theoretical knowledge with hands-on design and experimentation, providing him with a strong foundation in engineering principles, modeling, and system-level problem solving.

Professional Experience

Mr. Gehendra Sharma has worked as a research engineer at the Center for Advanced Vehicular Systems, contributing to projects that enhance defense capabilities, optimize additive manufacturing processes, and develop protective barriers and biomedical devices. He has implemented design optimization, robust design, finite element modeling, surrogate modeling, and machine learning approaches across diverse projects. His earlier experience as a graduate research assistant involved exploring robust solutions for coupled engineered systems, developing decision frameworks, and advancing composite structure design under uncertainty. He has also interned at Tata Research Development & Design Centre, applying robust design methods to composite structures, thermal power plant modeling, and gearbox analysis. Before his research career, he worked as a design engineer at Esco Couplings & Transmissions, leading product development, experimental testing, and manufacturing improvements. Throughout his career, he has consistently bridged academic research and industrial applications, demonstrating expertise in engineering design, analysis, prototyping, and innovation.

Research Interest

Mr. Gehendra Sharma’s research interests focus on design and optimization of mechanical and coupled systems under uncertainty, robust design exploration, surrogate modeling, finite element analysis, data-driven decision making, and machine learning applications in engineering. He has applied these methods in defense-related projects, additive manufacturing optimization, biomedical device design, and lightweight protective structures. He is particularly interested in integrating robust design methodologies with simulation, experimental testing, and predictive modeling to create efficient and reliable solutions for complex engineering problems. His work spans multi-objective optimization, system-level modeling, and development of decision support frameworks to guide engineers in exploring high-dimensional design spaces. He also explores the translation of theoretical methods into practical applications, including real-time monitoring, predictive modeling, and design automation, reflecting a commitment to advancing both the scientific understanding and industrial implementation of innovative engineering solutions.

Award and Honor

Mr. Gehendra Sharma has received multiple recognitions for his contributions to engineering research and innovation. He has been awarded cash prizes for competitions such as hydropower optimization challenges and received distinctions for his papers at international conferences. He has consistently earned merit scholarships and awards during his academic career for outstanding performance and innovation. His research projects have been recognized for excellence in design, robust optimization, and multi-objective engineering solutions. Additionally, he has been acknowledged for leadership in student committees, teaching, and mentoring roles, demonstrating a combination of technical skill and commitment to academic and community development. These awards and honors reflect both his technical expertise and his dedication to advancing engineering knowledge while contributing positively to professional and educational communities.

Research Skill

Mr. Gehendra Sharma possesses a diverse set of research skills, including design of coupled systems, robust and multi-objective design optimization, surrogate modeling, finite element analysis, data analysis, and predictive modeling using machine learning. He is proficient in programming languages such as Python, MATLAB, C, R, and VBA and is skilled in CAD and simulation tools including SolidWorks, Creo, ANSYS, Abaqus, and AutoCAD. He has experience in prototyping, experimental testing, and both destructive and non-destructive testing of components and materials. His research skills also include data-driven decision-making, algorithm development, and integrating theoretical methods into practical engineering solutions. In addition, he has mentoring and teaching skills that support knowledge transfer, enabling others to explore design problems, conduct simulations, and apply advanced methodologies, reflecting his comprehensive capability as a researcher and educator.

Publications Top Notes

Title: An ontology for representing knowledge of decision interactions in decision-based design
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2020
Citation: 32

Title: A method for robust design in a coupled decision environment
Authors: G Sharma, JK Allen, F Mistree
Year: 2021
Citation: 17

Title: Template-based configuration and execution of decision workflows in design of complex engineered systems
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 16

Title: Data driven integrated design space exploration using iSOM
Authors: RR Sushil, M Baby, G Sharma, AB Nellippallil, P Ramu
Year: 2022
Citation: 11

Title: Design of composite structures through decision support problem and multiscale design approach
Authors: RK Pathan, SB Beemaraj, A Salvi, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 11

Title: Inverse multi-scale robust design of composite structures using design capability indices
Authors: SB Beemaraj, RK Pathan, AG Salvi, G Sharma, F Mistree, JK Allen
Year: 2020
Citation: 8

Title: Classification and execution of coupled decision problems in engineering design for exploration of robust design solutions
Authors: G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 8

Title: Designing concurrently and hierarchically coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 7

Title: Exploring robust decisions in the design of coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 6

Title: Designing coupled engineered systems under uncertainty
Authors: G Sharma
Year: 2020
Citation: 5

Title: Multi-objective robust design exploration of a canine ventricular shunt for managing hydrocephalus
Authors: G Sharma, AB Nellippallil, R Yingling, NY Lee, A Shores, R Miralami
Year: 2021
Citation: 3

Title: Thermal Calibration of Finite Element Models in Wire Arc Directed Energy Deposition of ER-120S-G Using Thermocouples and Infrared Cameras
Authors: J Bassett, G Sharma, J Xie, J Storey, HG Kim, T Stone, H Dozier, S Mun
Year: 2025
Citation: 2

Conclusion

Mr. Gehendra Sharma stands out as a deserving candidate for the Best Researcher Award due to his impactful contributions to engineering research, defense applications, and innovative design methods that address real-world challenges. His work demonstrates a balance of academic excellence, industrial relevance, and societal benefit, particularly through projects in national defense, biomedical engineering, and advanced manufacturing. With his strong foundation in research and leadership, he has the potential to become a leading figure in multidisciplinary innovation and global collaborations, making him a valuable contributor to the advancement of science and technology.

Anita Choudhary | Cloud Computing | Best Researcher Award

Published on by Computer Vision Awards

Dr. Anita Choudhary | Cloud Computing | Best Researcher Award

Assistant Professor at Sri Karan Narendra Agriculture University, Jobner, Jaipur, India

Dr. Anita Choudhary is an accomplished academician and researcher in the field of computer science, specializing in cloud computing, IoT, real-time systems, and computer networks. She has contributed to the advancement of technology through research, teaching, and leadership roles in reputed institutions across India. With extensive teaching experience and numerous publications in journals and international conferences, she has established herself as a committed professional dedicated to academic excellence and research innovation. She has actively participated in academic coordination, lab establishment, and infrastructure development, fostering a strong research culture in her institutions. She has organized and delivered expert talks, workshops, and training programs, making significant contributions to student development and capacity building. As a resource person for various FDPs and training sessions, she has guided young researchers and faculty members in emerging areas of computing. Her achievements demonstrate her potential as a promising researcher and leader in academia.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Anita Choudhary holds a strong academic background in computer science, beginning with her Bachelor of Technology in Information Technology from University College of Engineering, Kota, where she laid the foundation of her technical expertise. She further pursued a Master of Technology in Computer Engineering from the National Institute of Technology, Kurukshetra, where she graduated with honors and distinction, demonstrating her academic rigor. Building on this, she earned her Doctor of Philosophy degree in Computer Science from Malaviya National Institute of Technology, Jaipur, where she conducted research on energy-efficient resource provisioning and scheduling in cloud computing environments under the guidance of distinguished professors. This academic journey reflects her consistent dedication to advancing her knowledge and contributing to research in high-demand areas. Her qualifications not only highlight her subject expertise but also her perseverance and commitment to achieving academic excellence, making her well-positioned for impactful research and leadership in computer science.

Professional Experience

Dr. Anita Choudhary has gained extensive professional experience as an Assistant Professor in several reputed institutions across India. She has served in both regular and contractual positions, contributing her expertise to universities such as the Central University of Rajasthan, Manipal University Jaipur, Engineering College Ajmer, and Rajasthan Agricultural Research Institute under SKNAU, Jobner. In each role, she has been actively engaged in teaching, research, and mentoring students while also contributing to institutional development. Her responsibilities have included academic coordination, examination management, placement support, and involvement in various academic committees. She has been instrumental in the establishment of advanced computer labs and has taken on leadership roles in organizing training programs, workshops, and international conferences. Her career reflects a balance of academic responsibilities and research contributions, where she has consistently worked toward enhancing student learning, promoting research culture, and contributing to the overall growth of her institutions.

Research Interest

Dr. Anita Choudhary’s research interests are centered around cloud computing, with a focus on energy-efficient resource provisioning, scheduling algorithms, and workflow management. She has worked extensively on developing models for virtual machine migration, server consolidation, and power-aware resource utilization, addressing challenges in optimizing computational efficiency. Alongside cloud computing, she has also explored related fields such as grid computing, operating systems, and real-time systems, which provide her with a broader perspective on distributed and large-scale computing environments. More recently, her interests have expanded to the Internet of Things, where she has published comprehensive works addressing architectures, applications, and challenges, as well as the emerging field of quantum computing, where she has delivered talks at international conferences. Her research interests align with global trends in computing, allowing her to make contributions to both theoretical and applied aspects of computer science that can benefit academia, industry, and society at large.

Award and Honor

Dr. Anita Choudhary has been recognized for her academic achievements and contributions through various awards and distinctions. She qualified the Graduate Aptitude Test in Engineering, a national-level examination that signifies her strong technical foundation, and later cleared the University Grants Commission National Eligibility Test, establishing her eligibility for higher academic positions. She has also been acknowledged for her teaching and research contributions by being invited as a resource person to deliver expert lectures at prestigious institutes and national faculty development programs. Her papers have been accepted and presented at several reputed IEEE and Scopus-indexed conferences, with one of her works earning recognition as the third-best paper. In addition, she has received opportunities to play significant roles in academic and research development through her involvement as a joint organizing secretary and coordinator of international conferences, workshops, and training programs. These honors reflect her commitment to excellence and leadership in academia.

Research Skill

Dr. Anita Choudhary possesses strong research skills that encompass both theoretical and applied aspects of computer science. She has expertise in designing and evaluating algorithms for cloud resource provisioning, workflow scheduling, and server consolidation, with a focus on achieving energy efficiency and scalability in computing environments. Her ability to critically analyze and synthesize research has led to quality publications in international journals and conferences. She is skilled in simulation tools and technologies commonly used in evaluating cloud and IoT environments, enabling her to test and validate proposed models. Beyond technical research, she is adept at academic writing, having authored papers, survey articles, and book chapters that provide comprehensive overviews of emerging technologies. She also demonstrates organizational and leadership skills through coordinating research initiatives, lab establishment, and training workshops. Her research skills are complemented by her teaching, mentoring, and collaborative work, positioning her as a well-rounded academic and researcher.

Publications Top Notes

Title: A critical survey of live virtual machine migration techniques
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli, D Kapil
Year: 2017
Citation: 149

Title: Energy-aware scientific workflow scheduling in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli
Year: 2022
Citation: 31

Title: Internet of Things: a comprehensive overview, architectures, applications, simulation tools, challenges and future directions
Authors: A Choudhary
Year: 2024
Citation: 20

Title: Task clustering-based energy-aware workflow scheduling in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli
Year: 2018
Citation: 18

Title: Improved virtual machine migration approaches in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli, N Kumar
Year: 2016
Citation: 16

Title: Score-based Incentive Mechanism (SIM) for live multimedia streaming in peer-to-peer network
Authors: SA Ansari, K Pal, MC Govil, M Ahmed, T Chawla, A Choudhary
Year: 2021
Citation: 15

Title: Rapid A*: a robust path planning scheme for UAVs
Authors: P Kumar, K Pal, MC Govil, A Choudhary
Year: 2023
Citation: 9

Title:Energy-efficient resource allocation approaches with optimum virtual machine migrations in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi
Year: 2016
Citation: 7

Title:Energy-efficient fuzzy-based approach for dynamic virtual machine consolidation
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli
Year: 2019
Citation: 4

Title: Workflow scheduling algorithms in cloud environment: A review, taxonomy, and challenges
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi
Year: 2016
Citation: 3

Title:A survey of energy-aware server consolidation in cloud computing
Authors: S Sagar, A Choudhary, MSA Ansari, MC Govil
Year: 2022
Citation: 2

Conclusion

Dr. Anita Choudhary is a deserving candidate for the Best Researcher Award due to her consistent contributions in cloud computing, IoT, and emerging technologies, along with her active role in academic development and institutional leadership. Her research outputs in reputed journals and conferences, combined with her efforts in establishing advanced labs and organizing international workshops, reflect both academic excellence and societal impact. With her strong foundation in teaching, research, and community engagement, she demonstrates significant potential for future leadership in advancing innovative research, fostering global collaborations, and driving technological progress that benefits both academia and industry.

Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

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Prof. Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

Associate Professor at Inha University, South Korea

Prof. Jong-Hyun Kim is an Associate Professor at the College of Software and Convergence, Department of Artificial Intelligence, Design Technology at Inha University, with a joint appointment at the Graduate School of Electrical and Computer Engineering. He is a distinguished researcher with expertise spanning computer graphics, visual effects, physically based simulation, physics engines, artificial intelligence, VR/AR, geometry processing, and GPU optimization. His career bridges academia and industry, having led and participated in numerous national research projects and industry collaborations in areas such as digital twin technology, immersive simulation systems, and AI convergence. With an impressive record of award-winning publications in reputed conferences and journals indexed in IEEE and Scopus, he has contributed significantly to advancing emerging technologies. His leadership in collaborative initiatives and dedication to innovative research continue to strengthen his impact on both scientific communities and practical applications.

Professional Profile 

ORCID Profile

Education

Prof. Jong-Hyun Kim completed his Ph.D. in Computer Science and Engineering from Korea University, following his master’s degree and bachelor’s degree in the same field from Korea University and Sejong University, respectively. His academic journey reflects a strong foundation in both theoretical and applied aspects of computer science, equipping him with advanced skills in simulation, visualization, and artificial intelligence. His studies covered a broad spectrum of technical disciplines, from physics-based modeling and geometry processing to interactive graphics and human-computer interaction. The rigorous academic training at prestigious institutions provided him with the expertise to excel in interdisciplinary research and to address complex computational challenges. This solid educational background has enabled him to integrate advanced computing techniques with creative technological solutions, laying the groundwork for his influential research contributions in academia and his ability to collaborate effectively with industry partners on innovative projects.

Professional Experience

Prof. Jong-Hyun Kim currently serves as an Associate Professor at Inha University, having previously held the same position at Kangnam University. He has also served as a lecturer and teaching fellow at Korea University, contributing to the development of academic programs and mentoring students in advanced computing topics. Before his academic career, he worked extensively in the industry as a senior research engineer and research engineer at multiple companies, gaining hands-on experience in simulation technologies, visual effects, and interactive systems. His professional trajectory reflects a balance between academic scholarship and practical application, with roles that involved designing innovative solutions, leading research teams, and collaborating on both government-funded and industry-driven projects. His combined academic and industrial experience has strengthened his expertise in bridging theoretical research with real-world implementation, enhancing his ability to deliver impactful outcomes in both educational and technological domains.

Research Interest

Prof. Jong-Hyun Kim’s research interests cover a broad and interdisciplinary range of topics, including computer graphics, visual effects, physically based simulation, physics engines, and game physics. He actively explores artificial intelligence techniques for scientific visualization, geometry processing, image processing, and immersive VR/AR experiences. His work often focuses on GPU optimization to achieve real-time performance in complex simulations, enabling practical applications in gaming, virtual reality, and industrial simulations. Additionally, he is interested in human-computer interaction, particularly in developing intuitive interfaces for creative expression and realistic virtual environments. His projects integrate physics-based modeling with AI-driven approaches to address challenges in simulation accuracy, interactivity, and scalability. By combining deep technical expertise with creativity, his research aims to advance the capabilities of simulation and visualization technologies, making them more efficient, accessible, and adaptable for diverse fields ranging from entertainment and education to engineering and healthcare.

Award and Honor

Prof. Jong-Hyun Kim has received numerous awards and honors recognizing his excellence in research, innovation, and academic contributions. His accolades include multiple Best Paper Awards from prestigious conferences such as those organized by the Korea Society of Computer and Information and the Korean Association of Data Science, acknowledging his groundbreaking work in simulations, VR frameworks, AI-driven modeling, and GPU optimization. He has been honored by the Ministry of Science and ICT and the Korean Ministry of Education for his creative and impactful research ideas. His achievements extend beyond academia, with awards recognizing his leadership in industry-academic cooperation and excellence in teaching. These recognitions reflect his sustained contributions to advancing cutting-edge technologies, fostering collaboration between academia and industry, and mentoring future innovators. His consistent recognition at national and professional levels underscores his influence in both research and education, and his ongoing commitment to delivering impactful technological advancements.

Research Skill

Prof. Jong-Hyun Kim possesses advanced research skills in multiple technical domains, including physically based simulation, visual effects, GPU optimization, and complex animation systems. He is proficient in designing real-time interactive environments, implementing physics engines, and integrating artificial intelligence into simulation and visualization frameworks. His expertise includes scientific visualization, geometry processing, VR/AR development, and image processing, enabling him to create innovative solutions that merge creativity with computational precision. He has extensive experience managing large-scale research projects funded by national agencies and industry partners, demonstrating strong project management, team leadership, and cross-disciplinary collaboration skills. His technical abilities are complemented by his capacity to translate theoretical models into practical applications across entertainment, engineering, and scientific research. By combining analytical thinking, problem-solving, and creative design, he continues to push the boundaries of simulation and visualization technologies, contributing significantly to both academic advancements and industry innovation.

Publications Top Notes

Title: A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles
Authors: Jong-Hyun Kim
Year: 2025

Title: Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling
Authors: Jong-Hyun Kim
Year: 2025

Title: Neural Network-Based Projective Grid Model for Learning Representation of Surface and Wave Foams
Authors: Jong-Hyun Kim
Year: 2025

Title: Porous Models for Enhanced Representation of Saturated Curly Hairs: Simulation and Learning
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: A 3D Visual Tool for Analyzing Changes in Hair Volume and Length Caused by Medications
Authors: Jong‐Hyun Kim; Jung Lee; Seungbin Kwon; Minji Jo; Yunjin Hwang; In‐Sook An
Year: 2025

Title: Numerical Dispersed Flow Simulation of Fire-Flake Particle Dynamics and Its Learning Representation
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Unified GPU Framework for Simulating Wave Turbulence, Diffusion, and Wrinkling in Fluid-Cloth Interaction
Authors: Eun Su Park; Juyong Lee; In Kyu Park; Jong-Hyun Kim
Year: 2025

Title: Scalable and Rapid Nearest Neighbor Particle Search Using Adaptive Disk Sector
Authors: Jong-Hyun Kim; Shaofeng Xu; Jung Lee
Year: 2025

Title: Depth-of-Field Region Detection and Recognition From a Single Image Using Adaptively Sampled Learning Representation
Authors: Jong-Hyun Kim; Youngbin Kim
Year: 2024

Title: Motion Generation and Analyzing the User’s Arm Muscles via Leap Motion and Its Data-Driven Representations
Authors: Jong-Hyun Kim; Jung Lee; Youngbin Kim
Year: 2024

Title: Visualization of Vector Fields from Density Data Using Moving Least Squares Based on Monte Carlo Method
Authors: Jong-Hyun Kim
Year: 2024

Title: Isoline Tracking in Particle-Based Fluids Using Level-Set Learning Representation
Authors: Jun Yeong Kim; Chang Geun Song; Jung Lee; Jong-Hyun Kim; Jong Wan Lee; Sun-Jeong Kim
Year: 2024

Title: Efficient and Stable Generation of High-Resolution Hair and Fur With ConvNet Using Adaptive Strand Geometry Images
Authors: Jong-Hyun Kim; Jung Lee
Year: 2023

Conclusion

Prof. Jong-Hyun Kim is highly deserving of the Best Researcher Award for his outstanding contributions to cutting-edge research in computer graphics, AI-driven simulation, and immersive technologies, as well as his significant role in bridging academia and industry through impactful collaborative projects. His innovative work has advanced both scientific understanding and practical applications, benefiting diverse sectors and inspiring the next generation of researchers. With a proven track record of excellence, leadership, and innovation, he holds strong potential to make even greater contributions to research and society in the future.

Xiuyuan Chen | 3D reconstruction | Best Researcher Award

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Dr. Xiuyuan Chen | 3D reconstruction | Best Researcher Award

Surgeon at Peking University People’s Hospital, China

Dr. Xiuyuan Chen is an accomplished thoracic surgeon and researcher specializing in minimally invasive thoracic surgery, precision resection of early-stage lung cancer, and perioperative multidisciplinary treatment of locally advanced lung cancer. His innovative research integrates artificial intelligence into surgical navigation systems, aiming to improve precision and patient outcomes. With an MD in Surgery from Peking University and postdoctoral training in oncology at the University of Michigan, he has built a strong foundation in both clinical expertise and cutting-edge research. Dr. Chen has secured competitive funding, including the National Natural Science Foundation of China Youth Fund, and has contributed to China’s “New Generation Artificial Intelligence” initiative. His publications in high-impact journals such as Frontiers in Oncology, Thoracic Cancer, and Autophagy have gained international recognition. Actively involved in professional organizations, he is committed to advancing thoracic surgery through innovation, collaboration, and clinical application, making significant contributions to both academic research and patient care.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Xiuyuan Chen earned his MD in Surgery from Peking University, where he developed a strong foundation in clinical medicine and surgical techniques. He later advanced his expertise through a postdoctoral fellowship in oncology at the University of Michigan, gaining exposure to global research methodologies and cutting-edge cancer treatments. His interest in integrating technology into healthcare led him to pursue additional training in artificial intelligence and data science through specialized programs such as the Deep Learning Nanodegree from Udacity and courses in machine learning and data analysis from Coursera and the University of Michigan. This combination of clinical and technological education has allowed him to bridge the gap between surgery and AI-based innovations. His multidisciplinary academic background not only strengthened his surgical skills but also equipped him with the ability to design and implement AI-assisted tools for thoracic surgery, positioning him at the forefront of modern medical research and innovation.

Professional Experience

Dr. Xiuyuan Chen currently serves as Associate Professor and Senior Attending in the Department of Thoracic Surgery at Peking University People’s Hospital, where he performs complex thoracic surgeries and leads research initiatives. His professional journey began as a resident in the same department, later advancing to chief resident and attending physician roles. He also completed a postdoctoral fellowship at the University of Michigan Rogel Cancer Center, where he engaged in oncology research with an emphasis on translational medicine. Over the years, he has participated in key national and international research projects, including collaborations between Michigan Medicine and Peking University. His work spans both patient care and advanced research, integrating surgical precision with AI-assisted decision-making. Dr. Chen’s professional career reflects a balance of clinical excellence, academic leadership, and collaborative research, enabling him to make impactful contributions to both healthcare practice and the development of innovative surgical technologies.

Research Interest

Dr. Xiuyuan Chen’s research interests lie at the intersection of thoracic surgery, oncology, and artificial intelligence. He focuses on developing AI-assisted surgical planning systems and multi-dimensional integrated surgical navigation tools that enhance precision in lung cancer surgeries. His work also explores the use of advanced imaging algorithms for anatomical mapping and the integration of deep learning techniques to predict surgical outcomes. Additionally, he is interested in the application of targeted therapy, immunotherapy, and chemotherapy in perioperative management for locally advanced lung cancer. Dr. Chen aims to bridge the gap between medical technology and clinical application, ensuring that innovations directly translate to improved patient care. He is committed to multidisciplinary research that combines data science, biomedical engineering, and surgery, while also contributing to national initiatives in AI for healthcare. His vision is to create intelligent surgical systems that can standardize complex procedures and optimize treatment strategies for thoracic oncology patients.

Award and Honor

Dr. Xiuyuan Chen has received recognition for his innovative contributions to thoracic surgery and oncology research. He was awarded the prestigious National Natural Science Foundation of China Youth Fund for his study on circular RNA mechanisms in lung cancer. As a key researcher in China’s “New Generation Artificial Intelligence” major project under the Science and Technology Innovation 2030 initiative, he has contributed to the development of AI-driven solutions in surgical navigation. His research collaborations with Michigan Medicine have also earned acknowledgment for advancing translational cancer research. In addition to funded projects, Dr. Chen’s publications in internationally recognized journals have been cited widely, reflecting the academic and clinical value of his work. His active involvement in professional societies, such as the International Association for the Study of Lung Cancer and the Society of Thoracic Surgeons, further demonstrates his leadership in the field. These honors reflect his dedication to advancing science and improving patient care.

Research Skill

Dr. Xiuyuan Chen possesses a diverse set of research skills that combine clinical expertise with technological innovation. His proficiency in thoracic surgery is complemented by advanced capabilities in artificial intelligence applications for medical imaging and surgical planning. He is skilled in developing and applying deep learning algorithms for anatomical segmentation and 3D reconstruction in lung cancer surgery. His expertise extends to designing translational research studies that integrate laboratory findings with clinical applications, particularly in targeted therapy, immunotherapy, and molecular oncology. Dr. Chen has experience managing multidisciplinary research teams, securing competitive grants, and conducting collaborative studies across institutions and countries. He is adept at data analysis, statistical modeling, and interpretation of complex biomedical datasets. His ability to merge AI-driven solutions with surgical precision positions him as a leader in next-generation surgical innovations, with the skills to drive impactful research that advances both academic knowledge and patient treatment outcomes.

Publications Top Notes

Title: Artificial intelligence driven 3D reconstruction for enhanced lung surgery planning
Authors: X Chen, C Dai, M Peng, D Wang, X Sui, L Duan, X Wang, X Wang, …
Year: 2025
Citation: 1

Title: Deep learning algorithm for automatic prediction of visceral pleural invasion of lung cancer based on surgical video
Authors: H Xu, W Mu, R Zou, C Cao, Z Sun, S Cheng, T Guan, H Li, X Chen, …
Year: 2023
Citation: 1

Title: An atlas of anatomical variants of subsegmental pulmonary arteries and recognition error analysis
Authors: H Xu, H Zhao, J Jin, J Geng, C Sun, D Wang, N Hong, F Yang, X Chen
Year: 2023
Citation: 8

Title: Circular RNA, circular RARS, promotes aerobic glycolysis of non‐small‐cell lung cancer by binding with LDHA
Authors: H Li, Q Huang, H Guo, X Chen, X Li, M Qiu
Year: 2023
Citation: 7

Title: AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels
Authors: X Chen, H Xu, Q Qi, C Sun, J Jin, H Zhao, X Wang, W Weng, S Wang, …
Year: 2022
Citation: 16

Title: A fully automated noncontrast CT 3‐D reconstruction algorithm enabled accurate anatomical demonstration for lung segmentectomy
Authors: X Chen, Z Wang, Q Qi, K Zhang, X Sui, X Wang, W Weng, S Wang, …
Year: 2022
Citation: 27

Title: Total nodule number as an independent prognostic factor in resected stage III non-small cell lung cancer: a deep learning-powered study
Authors: X Chen, Q Qi, Z Sun, D Wang, J Sun, W Tan, X Liu, T Liu, N Hong, F Yang
Year: 2022
Citation: 7

Title: Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week
Authors: Y Hu, X Sui, F Song, Y Li, K Li, Z Chen, F Yang, X Chen, Y Zhang, X Wang, …
Year: 2021
Citation: 237

Title: Circular RNA circHIPK3 modulates autophagy via MIR124-3p-STAT3-PRKAA/AMPKα signaling in STK11 mutant lung cancer
Authors: X Chen, R Mao, W Su, X Yang, Q Geng, C Guo, Z Wang, J Wang, …
Year: 2020
Citation: 287

Title: Validation of a serum 4-microRNA signature for the detection of lung cancer
Authors: X Yang, W Su, X Chen, Q Geng, J Zhai, H Shan, C Guo, Z Wang, H Fu, …
Year: 2019
Citation: 19

Title: High throughput scaffold-based 3D micro-tumor array for efficient drug screening and chemosensitivity testing
Authors: X Yan, L Zhou, Z Wu, X Wang, X Chen, F Yang, Y Guo, M Wu, Y Chen, …
Year: 2019
Citation: 78

Title: Silencing of long noncoding RNA MIR22HG triggers cell survival/death signaling via oncogenes YBX1, MET, and p21 in lung cancer
Authors: W Su, S Feng, X Chen, X Yang, R Mao, C Guo, Z Wang, DG Thomas, …
Year: 2018
Citation: 154

Title: The identification of sub-centimetre nodules by near-infrared fluorescence thoracoscopic systems in pulmonary resection surgeries
Authors: Y Mao, C Chi, F Yang, J Zhou, K He, H Li, X Chen, J Ye, J Wang, J Tian
Year: 2017
Citation: 50

Title: Comparison between sublobar resection and lobectomy for the surgical treatment of elderly patients with early stage non-small-cell lung cancer (STEPS): an open label …
Authors: F Yang, X Sui, X Chen, J Wang
Year: 2017
Citation: 1

Title: Overexpression of LINC00152 correlates with poor patient survival and knockdown impairs cell proliferation in lung cancer
Authors: S Feng, J Zhang, W Su, S Bai, L Xiao, X Chen, J Lin, RM Reddy, …
Year: 2017
Citation: 41

Conclusion

Dr. Chen is a deserving candidate for the Best Researcher Award due to his exceptional contributions in advancing thoracic surgery through innovative AI-assisted techniques and multidisciplinary cancer treatment approaches. His research has significantly impacted both clinical practice and patient outcomes, with strong evidence of leadership in funded projects and influential publications. With his dedication to translational medicine, commitment to improving surgical precision, and potential to lead groundbreaking international collaborations, he is poised to make even greater contributions to research and society in the future.

Xiaodong Zhang | Healthcare Applications | Best Researcher Award

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Prof. Xiaodong Zhang | Healthcare Applications | Best Researcher Award

Professor at Anhui Agricultural University, China

Prof. Xiaodong Zhang is a distinguished academic and researcher in the field of animal genetics, breeding, and reproduction, with a special focus on porcine reproduction and molecular breeding. Over his career, he has contributed significantly to advancing livestock genetics through innovative research, impactful publications, and leadership in major funded projects. His expertise spans molecular biology, transcriptomics, proteomics, and bioinformatics, enabling him to address critical challenges in animal science. As a professor at the College of Animal Science and Technology, Anhui Agricultural University, he has played a key role in guiding students and integrating research outcomes into academic curricula. His work has been published in several internationally recognized journals, and he has received multiple awards for scientific and technological progress. With a proven track record in research and teaching, he continues to contribute to scientific advancements while aiming to expand his global collaborations and enhance the practical applications of his research.

Professional Profile 

Google Scholar 

Education

Prof. Xiaodong Zhang pursued his academic journey in animal genetics, breeding, and reproduction at Anhui Agricultural University, where he completed his Bachelor of Science in Animal Science, followed by a Master of Science in Animal Genetics, Breeding, and Reproduction. He then earned his Ph.D. in the same field, focusing on advanced research techniques and genetic improvement strategies in livestock, particularly swine. His education provided him with a strong foundation in animal physiology, molecular biology, bioinformatics, and breeding technologies. During his postgraduate studies, he was involved in several research projects, gaining hands-on experience in laboratory techniques, data analysis, and experimental design. This academic training not only equipped him with technical expertise but also fostered his ability to lead research teams and develop innovative solutions for challenges in animal science. His consistent academic performance and recognition through scholarships further highlighted his dedication to academic excellence and his potential as a leading researcher.

Professional Experience

Prof. Xiaodong Zhang has built an impressive academic career at the College of Animal Science and Technology, Anhui Agricultural University. He began as a lecturer, where he developed and delivered courses in swine science and bioinformatics, inspiring undergraduate students with practical and research-based learning. He later advanced to associate professor, taking on more responsibilities in research leadership, graduate student supervision, and curriculum development. His expertise and contributions eventually led to his appointment as a full professor, where he continues to lead research projects, publish high-impact studies, and mentor the next generation of scientists. Throughout his career, he has managed national and provincial research projects, secured competitive grants, and established productive collaborations. His role also involves enhancing the integration of research findings into industry practices, thereby benefiting the agricultural sector. His steady career progression reflects his academic leadership, commitment to excellence, and sustained contributions to both education and scientific research.

Research Interest

Prof. Xiaodong Zhang’s research interests lie primarily in the regulation of porcine reproduction and growth, as well as molecular genetics and breeding of swine. He is deeply engaged in understanding the genetic mechanisms that influence reproductive traits, litter size, and overall productivity in pigs. His work incorporates advanced molecular biology techniques, including transcriptomic and proteomic analyses, to identify key genes, microRNAs, and non-coding RNAs involved in reproductive processes. He is also interested in applying bioinformatics tools to interpret large-scale genomic and transcriptomic data, facilitating targeted breeding strategies and genetic improvement programs. Beyond swine genetics, his research contributes to broader agricultural goals by improving livestock productivity, sustainability, and genetic diversity. His findings have practical implications for breeding programs, helping optimize genetic traits for commercial farming. His dedication to both fundamental and applied research ensures that his work supports academic advancements while directly benefiting the livestock industry.

Award and Honor

Prof. Xiaodong Zhang has been recognized with numerous awards for his outstanding contributions to research, teaching, and technological innovation. His achievements include the First Prize of Scientific and Technological Progress of Anhui Province as the second awardee, the Third Prize of Scientific and Technological Progress of Anhui Province as the first awardee, and the Second Prize of Scientific and Technological Progress of Hefei City. In addition, he has been honored with a teaching competition award for young teachers at Anhui Agricultural University and received the prestigious national doctoral scholarship in recognition of his academic excellence. These accolades reflect not only his research capabilities but also his dedication to education and the application of scientific findings to real-world agricultural challenges. His consistent recognition at provincial and national levels underscores his role as a leading contributor to the advancement of animal genetics and breeding, further establishing his reputation in the academic community.

Research Skill

Prof. Xiaodong Zhang possesses a diverse set of research skills that span molecular biology, animal genetics, bioinformatics, and reproductive physiology. He is proficient in designing and conducting experiments involving transcriptomics, proteomics, and RNA sequencing to explore genetic and molecular mechanisms in livestock. His expertise includes the identification and functional analysis of microRNAs, non-coding RNAs, and gene expression profiles related to reproductive traits in pigs. He is skilled in data processing, statistical analysis, and the use of bioinformatics tools to interpret complex genomic datasets. In addition, he has extensive experience in managing research projects, securing funding, and leading collaborative teams. His ability to integrate laboratory findings with practical breeding programs demonstrates his strength in applied research. With a strong publication record as a corresponding author in international journals, he has proven his capability to produce impactful scientific outcomes that advance both academic understanding and industry practices in animal science.

Publications Top Notes

Title: Phonon density of states measured by inelastic nuclear resonant scattering
Authors: W Sturhahn, TS Toellner, EE Alp, X Zhang, M Ando, Y Yoda, S Kikuta, …
Year: 1995
Citation: 560

Title: Ultrasmall glutathione-protected gold nanoclusters as next generation radiotherapy sensitizers with high tumor uptake and high renal clearance
Authors: XD Zhang, Z Luo, J Chen, S Song, X Yuan, X Shen, H Wang, Y Sun, …
Year: 2015
Citation: 286

Title: Attempts to mimic docking processes of the immune system: recognition-induced formation of protein multilayers
Authors: W Müller, H Ringsdorf, E Rump, G Wildburg, X Zhang, L Angermaier, …
Year: 1993
Citation: 273

Title: Irreversible capacities of graphite in low‐temperature electrolytes for lithium‐ion batteries
Authors: MC Smart, BV Ratnakumar, S Surampudi, Y Wang, X Zhang, …
Year: 1999
Citation: 255

Title: Treatment of benign thyroid nodules: comparison of surgery with radiofrequency ablation
Authors: Y Che, S Jin, C Shi, L Wang, X Zhang, Y Li, JH Baek
Year: 2015
Citation: 224

Title: Effects of fasting on the meat quality and antioxidant defenses of market-size farmed large yellow croaker (Pseudosciaena crocea)
Authors: XD Zhang, YF Zhu, LS Cai, TX Wu
Year: 2008
Citation: 208

Title: Joint analysis of three genome-wide association studies of esophageal squamous cell carcinoma in Chinese populations
Authors: C Wu, Z Wang, X Song, XS Feng, CC Abnet, J He, N Hu, XB Zuo, W Tan, …
Year: 2014
Citation: 182

Title: Serum microRNA panel as biomarkers for early diagnosis of colorectal adenocarcinoma
Authors: G Zheng, L Du, X Yang, X Zhang, L Wang, Y Yang, J Li, C Wang
Year: 2014
Citation: 154

Title: Panchromatic observations of SN 2011dh point to a compact progenitor star
Authors: AM Soderberg, R Margutti, BA Zauderer, M Krauss, B Katz, L Chomiuk, …
Year: 2012
Citation: 146

Title: Protective effect of puerarin against beta-amyloid-induced oxidative stress in neuronal cultures from rat hippocampus: involvement of the GSK-3β/Nrf2 signaling pathway
Authors: Y Zou, B Hong, L Fan, L Zhou, Y Liu, Q Wu, X Zhang, M Dong
Year: 2013
Citation: 134

Conclusion

Prof. Xiaodong Zhang is highly deserving of the Best Researcher Award for his significant contributions to the fields of animal genetics, breeding, and reproduction, particularly in advancing knowledge on porcine reproduction and molecular breeding. His extensive research output, leadership in funded projects, and integration of scientific advancements into education have had a meaningful impact on both the academic community and the livestock industry. With his strong foundation and dedication, he is well-positioned to expand his research influence globally, foster innovative solutions for agricultural challenges, and take on greater leadership roles in advancing scientific progress and societal development.

Daesung Park | Sustainable Energy Applications | Best Researcher Award

Published on by Computer Vision Awards

Assist. Prof. Dr. Daesung Park | Sustainable Energy Applications | Best Researcher Award

Assistant Professor at Technical University of Denmark, Denmark

Dr. Daesung Park is a dedicated researcher specializing in experimental solid-state physics, materials science, nanotechnology, and energy conversion. His expertise spans functional oxides, defect engineering, strain-mediated property tuning, and advanced thin-film devices for applications in sensors, MEMS, and energy-efficient electronics. He has successfully led and collaborated on prestigious international research projects funded by programs such as the Villum Young Investigator Program, EU Horizon 2020, and SNSF-Swiss, working with leading institutions including EPFL, ETH Zurich, University of Oxford, and the Max Planck Institute. His work has been published in high-impact journals such as Science, Nature, Nature Communications, Advanced Materials, and Applied Physics Reviews, earning global recognition for innovation and scientific excellence. Beyond research, he contributes to the academic community as a reviewer for top-tier journals, an organizer of international conferences, and a mentor to postgraduate students. Dr. Park’s career reflects a consistent commitment to pushing the boundaries of science and technology.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Dr. Park earned his Ph.D. in Condensed Matter Physics from the University of Warwick, focusing his doctoral research on the growth, characterization, and functionalization of wide band gap oxide alloys. His education provided a strong foundation in experimental and analytical methods for advanced materials research, which he has since applied to energy conversion and nanotechnology. Before his doctoral studies, he built a solid background in physics, equipping him with both theoretical and practical knowledge in materials science. His academic journey fostered expertise in functional oxide systems, electromechanical coupling, and defect engineering, allowing him to approach complex material challenges from a multidisciplinary perspective. This strong educational base enabled him to integrate fundamental physics with emerging applications in energy, electronics, and nanotechnology, shaping his path as an innovative and globally recognized researcher. His training also emphasized collaborative research, preparing him to lead and participate in high-level international scientific initiatives.

Professional Experience

Dr. Park is currently an Assistant Professor in the Department of Energy Conversion and Storage at the Technical University of Denmark, where he leads pioneering research on functional oxides and advanced energy devices. He has held scientific positions at EPFL in Switzerland, contributing to groups focused on ferroelectrics, electroceramic thin films, and nanoelectronic devices. His career also includes postdoctoral research in Germany at institutes associated with the Max Planck Society and Fraunhofer, as well as a research associate role at the University of Warwick. He has served as principal investigator and co-investigator on several major projects, collaborating with world-class institutions across Europe, Asia, and North America. Alongside his research, he has co-supervised multiple Ph.D. and master’s students, contributing to capacity building in his field. Dr. Park has also played active roles in organizing international conferences, participating in review panels, and fostering academic-industry collaborations to translate research into practical technologies.

Research Interest

Dr. Park’s research interests lie in the intersection of solid-state physics, materials science, nanotechnology, and energy conversion. He focuses on functional oxide materials, including defective metal oxides, ferroics, nanocomposites, and phase transition oxides, exploring their unique electromechanical, pyroelectric, ferroelectric, and magnetic properties. A key aspect of his work involves defect engineering and strain manipulation to induce or enhance functionalities such as piezoelectricity, pyroelectricity, and resistive switching in centrosymmetric materials. His research also targets device applications such as MEMS actuators, sensors, oxide-based transistors, and neuromorphic systems. He is particularly interested in freestanding oxide membranes and low-dimensional heterointerfaces for next-generation energy-efficient devices. By integrating fundamental physics with applied engineering, Dr. Park aims to bridge the gap between material discovery and real-world applications, contributing to sustainable energy technologies and advanced electronic systems. His work combines experimental synthesis, advanced characterization, and collaborative innovation with leading global research partners.

Award and Honor

Dr. Park’s work has earned recognition through prestigious research grants, competitive project leadership, and invitations to speak at major international conferences. As the recipient of the Villum Young Investigator Program funding, he has advanced pioneering studies in defect-induced symmetry breaking for high-efficiency energy conversion. His role as principal investigator in EU Horizon 2020 and SNSF-Swiss projects reflects the trust placed in his research vision and leadership. Several of his publications have been highlighted as editor’s picks, emerging leader features, or invited papers in top journals. His contributions have led to collaborations with elite institutions worldwide and participation in influential scientific committees and symposiums. He has delivered invited talks across Europe, Asia, and North America, further cementing his reputation as a thought leader in his field. These honors underscore his impact on both the scientific community and the advancement of technologies with real-world applications.

Research Skill

Dr. Park possesses a diverse set of research skills covering materials synthesis, thin-film deposition, defect engineering, and advanced characterization techniques such as synchrotron-based methods, electron microscopy, and spectroscopy. He is proficient in fabricating and testing devices including MEMS, sensors, and oxide-based transistors, translating material properties into functional prototypes. His expertise extends to the study of electromechanical coupling, ferroelectricity, pyroelectricity, ionic transport, and magnetoelectric effects. Dr. Park is skilled in collaborative research, managing multidisciplinary teams across international institutions, and securing competitive funding for ambitious scientific goals. He has substantial experience in mentoring students, coordinating multi-partner projects, and organizing high-level scientific events. His work bridges fundamental science and application-oriented engineering, ensuring a strong link between laboratory research and technological deployment. These skills, combined with his leadership capabilities and deep domain expertise, position him as a key contributor to advancing next-generation materials and devices for sustainable energy and electronics.

Publications Top Notes

Title: Quantifying the orientation dependence of diffraction contrast on magnetic STEM-DPC imaging of freestanding oxide thin films
Authors: Sivert Dagenborg; Andrea D’Alessio; Eric Brand; Nikolas Vitaliti; Alessandro Palliotto; Ingrid Hallsteinsen; Felix Trier; Dae-Sung Park; Nini Pryds; Magnus Nord
Year: 2025

Title: Defect-induced magnetic symmetry breaking in oxide materials
Authors: Eric Brand; Victor Rosendal; Yichen Wu; Thomas Tran; Alessandro Palliotto; Igor V. Maznichenko; Sergey Ostanin; Vincenzo Esposito; Arthur Ernst; Shengqiang Zhou et al.
Year: 2025

Title: On the effect of precession for magnetic differential phase contrast imaging
Authors: Gregory Nordahl; Sivert Dagenborg; Andrea D’Alessio; Eric Brand; Nikolas Vitaliti; Felix Trier; Daesung Park; Nini Pryds; Jørgen Sørhaug; Magnus Nord
Year: 2024

Title: The fabrication of freestanding complex oxide membranes: Can we avoid using water?
Authors: Dae-Sung Park; Nini Pryds
Year: 2024

Title: Tailoring dielectric permittivity of epitaxial Gd-doped CeO₂−x films by ionic defects
Authors: A Palliotto; Y Wu; A D Rata; A Herklotz; S Zhou; K Dörr; P Muralt; D-S Park
Year: 2024

Title: Twisted oxide membranes: A perspective
Authors: N. Pryds; D.-S. Park; T. S. Jespersen; S. Yun
Year: 2024

Title: Controlled Electronic and Magnetic Landscape in Self‐Assembled Complex Oxide Heterostructures
Authors: Dae‐Sung Park; Aurora Diana Rata; Rasmus Tindal Dahm; Kanghyun Chu; Yulin Gan; Igor Maznichenko; Sergey Ostanin; Felix Trier; Hionsuck Baik; Woo Seok Choi et al.
Year: 2023

Title: Engineering of Electromechanical Oxides by Symmetry Breaking
Authors: Haiwu Zhang; Milica Vasiljevic; Achilles Bergne; Dae‐Sung Park; Andrea R. Insinga; Shinhee Yun; Vincenzo Esposito; Nini Pryds
Year: 2023

Conclusion

Dr. Park is highly deserving of the Best Researcher Award for his outstanding contributions to advancing functional oxide materials, nanotechnology, and energy conversion systems, which have significantly impacted both scientific understanding and potential technological applications. His extensive publication record, successful leadership of internationally funded projects, and active mentorship demonstrate a commitment to excellence in research and capacity building. With his strong track record of innovation, global collaborations, and dedication to addressing complex challenges, he is well-positioned to continue driving groundbreaking discoveries and shaping the future of his field through impactful research and leadership.