Daniel Oren | Biomedical | Best Researcher Award

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Dr. Daniel Oren | Biomedical | Best Researcher Award

MD, MSc at New York Presbyterian,  United States

Dr. Daniel Oren, MD, MSc, is a highly accomplished physician-scientist specializing in internal medicine and advanced cardiac care. With extensive training and clinical experience across leading institutions in the U.S., Israel, and Europe, he has cultivated a career rooted in translational research and patient-centered innovation. Currently serving as an Associated Research Scientist at Columbia University Irving Medical Center, he is also an incoming Attending Hospitalist in the Department of Cardiology. Dr. Oren’s research focuses on heart failure, mechanical circulatory support, transplant medicine, and non-invasive diagnostics. He has co-authored numerous peer-reviewed publications and contributed to national registries and clinical trials. Additionally, he brings a unique blend of academic excellence, military leadership as a reserve Chief Medical Officer in the Israeli Defense Forces, and entrepreneurial endeavors in digital health solutions. His multidisciplinary expertise, dedication to healthcare innovation, and commitment to education make him a distinguished figure in cardiovascular medicine and clinical research.

Professional Profile 

Education🎓

Dr. Daniel Oren earned his medical degree (M.D.) summa cum laude from Semmelweis University Medical School in Budapest, Hungary, where he also completed an MSc in Medical Science, focusing his thesis on cardiac CT imaging in aortic valve replacement outcomes. He began his academic journey with pre-medical studies at McDaniel College and later pursued advanced coursework in theoretical and mathematical biology at Tel Aviv University. His foundational medical training was further solidified through an internship at Sheba Medical Center in Israel, where he rotated through multiple specialties, including emergency medicine, surgery, and intensive care. To support his educational role, he also served as an ACLS/BLS/PALS instructor through the Israeli Center for Medical Simulations. Dr. Oren holds ECFMG certification in the United States and is licensed in Israel and Norway. His academic background reflects a strong foundation in clinical medicine, biomedical science, and interdisciplinary research, equipping him to contribute meaningfully across clinical and scientific domains.

Professional Experience📝

Dr. Oren’s professional experience spans top-tier medical institutions and diverse clinical environments. He currently serves as an Associated Research Scientist at Columbia University’s Center for Advanced Cardiac Care and is set to begin his role as an Attending Hospitalist Physician in the Division of Cardiology at Columbia University Irving Medical Center. As a third-year Internal Medicine resident at Weill Cornell’s Brooklyn Methodist Hospital, he has held leadership roles including Clinic Chief, Rapid Response Team Captain, and Stroke Code Captain. Earlier in his career, he completed a postdoctoral research fellowship at Columbia and an intensive internship at Sheba Medical Center, where he managed multidisciplinary rotations including COVID-ICU care. Beyond hospital settings, Dr. Oren has contributed to digital health and medical education startups as a co-founder, combining technology with clinical innovation. He also serves as a certified instructor for the American Heart Association, training healthcare providers in life support protocols. His clinical work is underscored by a global and leadership-oriented outlook.

Research Interest🔎

Dr. Oren’s research interests lie at the intersection of advanced heart failure, cardiac transplantation, and mechanical circulatory support, with a particular focus on translational diagnostics and patient outcomes. His work explores novel biomarkers like donor-derived cell-free DNA and molecular diagnostics for transplant rejection and allograft vasculopathy. He is deeply involved in large-scale registry and device trials, including studies on LVAD function, IVC pressure sensors, and non-invasive hemodynamic monitoring. He is equally committed to improving outcomes in socioeconomically disadvantaged populations, examining disparities in heart failure treatment and readmission rates. His research is highly collaborative, integrating clinical data with biostatistical modeling to enhance early diagnosis and treatment stratification. Additionally, Dr. Oren’s military medical service has informed his interest in trauma care and medical simulation. As he advances in his career, he remains committed to bridging clinical care with data-driven innovations in cardiology, particularly through multimodal monitoring and precision medicine approaches.

Award and Honor🏆

Dr. Daniel Oren has been recognized for his academic excellence, clinical leadership, and contributions to medical science. He earned his M.D. summa cum laude from Semmelweis University and has held key leadership roles in his residency program, including Clinic Chief and Code Team Captain. His most notable research honor includes co-receiving the 2023 ISHLT Multimodality Research Grant ($40,000), supporting non-invasive post-transplant monitoring using paired biomarkers. He is a certified instructor for the American Heart Association and has completed advanced trauma training through the Israeli Defense Forces, where he serves as Chief Medical Officer (Reserve) for Special Forces units. His selection for the elite “Tzahal Shalom” IDF delegation to the U.S. further highlights his leadership and cross-cultural diplomacy skills. Additionally, he holds medical licenses in Israel and Norway and ECFMG certification for the U.S., reflecting global recognition of his capabilities. Dr. Oren’s honors affirm both his scholarly impact and leadership in clinical care.

Research Skill🔬

Dr. Oren possesses a versatile and interdisciplinary set of research skills encompassing clinical trial design, registry management, advanced data annotation, and statistical consulting. He has contributed significantly to multi-center trials and national registries involving mechanical circulatory support, heart transplantation, and novel diagnostics like cell-free DNA and molecular microscopy. His training in mathematical biology and biostatistics enables him to integrate complex clinical data into actionable insights. He is proficient in using digital platforms for clinical data capture and analysis, and has supported algorithm development through startups like UBI Medical and MelodyStats. His clinical-research interface is strengthened by his ability to translate real-world observations into structured investigational protocols, such as the EVIDENT and RAMP-IT-UP studies. Additionally, Dr. Oren’s teaching roles as an ACLS/BLS/PALS instructor enhance his ability to standardize protocol-based training across research teams. His commitment to rigorous methodology and innovative thinking positions him as a valuable asset in both academic and industry-driven cardiovascular research.

Conclusion💡

Dr. Daniel Oren stands out as a highly accomplished physician-scientist whose integrated expertise in internal medicine, cardiology research, and military medical leadership uniquely positions him as a top candidate for the Best Researcher Award. His combination of clinical excellence, translational research contributions, publication record, and grant success aligns exceptionally well with the award’s goals of recognizing impactful, innovative, and community-relevant research. With continued progression into senior research roles and expanded funding leadership, his trajectory remains upward and globally relevant.

Publications Top Noted✍

  • Title: Acute myocardial infarction in the Covid-19 era: Incidence, clinical characteristics and in-hospital outcomes—A multicenter registry
    Authors: A Fardman, D Zahger, K Orvin, D Oren, N Kofman, J Mohsen, O Tsafrir, …
    Year: 2021
    Citations: 70

  • Title: Post COVID-19 acute myocardial infarction rebound
    Authors: A Fardman, D Oren, A Berkovitch, A Segev, Y Levy, R Beigel, S Matetzky
    Year: 2020
    Citations: 28

  • Title: Decline in maxillofacial injuries during the pandemic: the hidden face of COVID-19
    Authors: A Kasem, I Redenski, D Oren, A Zoabi, S Srouji, F Kablan
    Year: 2022
    Citations: 24

  • Title: Rapid implementation of teledentistry during the Covid-19 lockdown
    Authors: MO Watfa, NM Bernfeld, D Oren, T Shani, A Zigron, E Sela, Y Granot, …
    Year: 2021
    Citations: 19

  • Title: Post–ST‐segment–elevation myocardial infarction platelet reactivity is associated with the extent of microvascular obstruction and infarct size as determined by cardiac MRI
    Authors: E Massalha, D Oren, O Goitein, Y Brodov, A Fardman, A Younis, …
    Year: 2022
    Citations: 17

  • Title: Comparisons between lysis and lavage, intra-articular steroid injections, and three-point subsynovial steroid injections using operative single-cannula arthroscopy
    Authors: D Oren, AA Dror, TH Khalil, A Zoabi, A Zigron, F Kablan, S Srouji
    Year: 2022
    Citations: 14

  • Title: Successful CAR T cell therapy in a heart and kidney transplant recipient with refractory PTLD
    Authors: D Oren, EM DeFilippis, D Lotan, KJ Clerkin, J Fried, R Reshef, …
    Year: 2022
    Citations: 12

  • Title: Subclinical leaflet thrombosis is associated with impaired reverse remodelling after transcatheter aortic valve implantation
    Authors: B Szilveszter, D Oren, L Molnár, A Apor, AI Nagy, A Molnár, B Vattay, …
    Year: 2020
    Citations: 12

  • Title: The role of temporary mechanical circulatory support as a bridge to advanced heart failure therapies or recovery
    Authors: D Oren, R Zilinyi, D Lotan, M Uriel, N Uriel, G Sayer
    Year: 2022
    Citations: 11

  • Title: Sex differences in patients undergoing heart transplantation and LVAD therapy
    Authors: G Rubinstein, D Lotan, CM Moeller, EM DeFilippis, S Slomovich, D Oren, …
    Year: 2022
    Citations: 9

  • Title: The power of three-dimensional printing technology in functional restoration of rare maxillomandibular deformity due to genetic disorder: A case report
    Authors: D Oren, AA Dror, T Bramnik, E Sela, I Granot, S Srouji
    Year: 2021
    Citations: 8

  • Title: Heart transplantation in two adolescents with Danon disease
    Authors: D Oren, P Chau, M Manning, J Kwong, BD Kaufman, K Maeda, …
    Year: 2019
    Citations: 8

  • Title: Durable left ventricular assist devices as a bridge to transplantation in The Old and The New World
    Authors: AF Valledor, G Rubinstein, CM Moeller, D Lorenzatti, S Rahman, C Lee, …
    Year: 2024
    Citations: 6

  • Title: Evolution of Mechanical Circulatory Support for advanced heart failure
    Authors: CM Moeller, AF Valledor, D Oren, G Rubinstein, GT Sayer, N Uriel
    Year: 2024
    Citations: 6

  • Title: The hemodynamic effects of aortic regurgitation in patients supported by a HeartMate 3 left ventricular assist device
    Authors: G Rubinstein, CM Moeller, D Lotan, S Slomovich, A Fernandez-Valledor, …
    Year: 2024
    Citations: 6

  • Title: Initial experience with augmented reality for treatment of an orbital floor fracture–a technical note
    Authors: A Zoabi, D Oren, S Tejman-Yarden, I Redenski, F Kablan, S Srouji
    Year: 2022
    Citations: 6

  • Title: Hemodynamic optimization by invasive ramp test in patients supported with HeartMate 3 left ventricular assist device
    Authors: G Rubinstein, CM Moeller, D Lotan, S Slomovich, A Fernandez-Valledor, …
    Year: 2024
    Citations: 5

  • Title: Combined heart and liver transplantation in a patient supported by left ventricular assist device (LVAD) with propionic acidemia
    Authors: D Lotan, EM DeFilippis, D Oren, A Vinogradsky, G Rubinstein, A Mathur, …
    Year: 2023
    Citations: 5

  • Title: Incidence and treatment of arterial hypertension after heart transplantation
    Authors: HS Lumish, PJ Kennel, D Concha, A Chung, D Oren, SS Jain, …
    Year: 2022
    Citations: 5

  • Title: Pericardial involvement in ST-segment elevation myocardial infarction as detected by cardiac MRI
    Authors: E Massalha, Y Brodov, D Oren, A Fardman, SS Natanzon, I Mazin, …
    Year: 2022
    Citations: 5

Xiwang Xie | Artificial intelligence | Best Researcher Award

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Dr. Xiwang Xie | Artificial intelligence | Best Researcher Award

Lecturer at Henan University of Engineering, China

The candidate is a dedicated researcher with deep expertise in artificial intelligence, computer vision, and medical image processing. With years of experience working on high-impact projects supported by the National Natural Science Foundation of China and other authoritative bodies, the researcher has contributed significantly to areas such as pathological image segmentation, oil spill monitoring, remote sensing, and illegal ship detection. Their academic portfolio includes numerous publications in internationally renowned journals, several of which are recognized as ESI Highly Cited or Hot Papers. Beyond research, the candidate plays an active role in the scholarly community as a reviewer for top-tier journals and as a committee member for international conferences. Demonstrating strong interdisciplinary skills and a commitment to advancing technological solutions for real-world challenges, the candidate’s work bridges theoretical innovation with practical application. Their achievements, leadership, and research rigor make them an exceptional contributor to their field and a strong candidate for prestigious research recognitions.

Professional Profile 

Education🎓

The candidate has pursued a comprehensive academic path specializing in artificial intelligence and image processing. While the exact degree timeline is not detailed, their research trajectory suggests advanced graduate-level education, likely including a Ph.D. with a focus on medical image analysis and computer vision. Their academic training has equipped them with the necessary theoretical foundations in machine learning, deep learning architectures, and digital signal processing. Throughout their education, the researcher appears to have engaged in interdisciplinary study, merging engineering principles with medical diagnostics, environmental monitoring, and intelligent systems design. This solid academic background underpins their ability to contribute to diverse project domains—ranging from healthcare to maritime safety—and produce influential scholarly publications. The candidate’s education has clearly laid the groundwork for their professional accomplishments, fostering both technical depth and critical thinking, essential for high-quality scientific inquiry and collaborative problem-solving in both academic and applied research environments.

Professional Experience📝

The researcher has amassed significant professional experience through participation in various high-impact national and regional projects. From 2017 to 2025, they have played critical roles in several initiatives funded by the National Natural Science Foundation of China and other public agencies. Their work includes developing methods for breast cancer pathological image segmentation, oil spill monitoring using airborne remote sensing, and illegal ship detection using radar systems. These experiences demonstrate a strong ability to translate research concepts into functional systems addressing societal needs. Additionally, the candidate has contributed to the development of intelligent solutions in agriculture, remote sensing, and underwater imaging. These projects reflect their capacity to work across interdisciplinary teams and apply cutting-edge AI methods in real-world settings. Their professional journey is further enhanced by scholarly contributions and peer-review responsibilities, indicating a balanced commitment to both applied and academic research endeavors. Overall, the candidate’s professional experience illustrates consistent, practical impact and research leadership.

Research Interest🔎

The researcher’s core interests lie in the convergence of artificial intelligence, computer vision, and medical image processing. A major focus has been on developing advanced deep learning architectures for image segmentation, particularly in medical imaging, such as liver CT, retinal vessels, and breast pathology. Additionally, they are interested in environmental and remote sensing applications, including underwater image enhancement, oil spill detection, and illegal maritime activity monitoring. Their research also explores agricultural and biological systems, such as plant disease detection and hyperspectral image analysis for crop classification. Through the design of novel networks like DFPNet, CANet, and MCINet, the researcher aims to improve the accuracy, robustness, and interpretability of image analysis systems. The unifying goal across these areas is to create intelligent, scalable, and efficient solutions for complex visual data problems, particularly in health, environment, and agriculture. Their interdisciplinary interests reflect a commitment to impactful AI research with broad societal implications.

Award and Honor🏆

The researcher has received notable recognition through several distinctions, particularly in the form of ESI Highly Cited Papers (Top 1%) and Hot Papers (Top 0.01%), indicating that their scholarly work has gained significant traction and global academic influence. These honors reflect the high quality and impact of their research on the scientific community, particularly in medical image segmentation and AI-based imaging solutions. The publication record also suggests excellence in collaborative research, with co-authorships on widely cited journal articles in prestigious outlets such as Computers and Electrical Engineering, Expert Systems with Applications, and Biomedical Signal Processing and Control. Beyond publication achievements, their role as a reviewer for several respected international journals and committee member for major conferences demonstrates peer recognition and trust. While specific award titles are not listed, these academic indicators collectively affirm the researcher’s excellence and growing reputation in the fields of artificial intelligence and biomedical engineering.

Research Skill🔬

The researcher possesses a robust set of skills centered around deep learning, medical image segmentation, computer vision, and remote sensing. Technically proficient in designing advanced neural architectures like pyramidal networks, multi-scale context integration models, and attention-based frameworks, they have demonstrated expertise in implementing and optimizing complex AI algorithms. Their skillset includes segmentation of CT scans, pathological tissues, underwater images, and plant diseases—showing adaptability across various domains and imaging modalities. They are also experienced in interdisciplinary research that incorporates laser technology, hyperspectral imaging, and radar signal processing. Proficiency in key programming and analysis tools such as Python, MATLAB, TensorFlow, and PyTorch is implied by the nature of their contributions. Additionally, their role as a peer reviewer signifies a solid understanding of research design, evaluation metrics, and experimental validation. Overall, the candidate showcases a comprehensive blend of analytical, technical, and domain-specific skills that strongly support their innovative and applied research outputs.

Conclusion💡

The candidate exhibits exceptional qualifications, with a strong track record in AI-driven medical imaging and multidisciplinary research. The number of high-impact publications, project leadership, and peer-reviewed contributions makes the candidate highly suitable for the Best Researcher Award.

Publications Top Noted✍

  1. Title: Discriminative Features Pyramid Network for Medical Image Segmentation
    Authors: Xiwang Xie, Lijie Xie, Guanyu Li, Hao Guo, Weidong Zhang, Feng Shao, Wenyi Zhao, Ling Tong, Xipeng Pan, Jubai An
    Year: 2024
    Citation: DOI: 10.1016/j.bbe.2024.04.001
    Journal: Biocybernetics and Biomedical Engineering

  2. Title: Color Correction and Adaptive Contrast Enhancement for Underwater Image Enhancement
    Authors: Zhang W., Pan X., Xie X., Li L., Wang Z., Han C.
    Year: 2021
    Citation: DOI: 10.1016/j.compeleceng.2021.106981
    Journal: Computers and Electrical Engineering

  3. Title: Dynamic Adaptive Residual Network for Liver CT Image Segmentation
    Authors: Xie X., Zhang W., Wang H., Li L., Feng Z., Wang Z., Pan X.
    Year: 2021
    Citation: DOI: 10.1016/j.compeleceng.2021.107024
    Journal: Computers and Electrical Engineering

  4. Title: Automatic Liver Segmentation Method Based on Improved Region Growing Algorithm
    Authors: Qiao S., Xia Y., Zhi J., Xie X., Ye Q.
    Year: 2020
    Citation: Proceedings of ITNEC 2020, DOI: 10.1109/ITNEC48623.2020.9085126

  5. Title: An Approach of Automatically Selecting Seed Point Based on Region Growing for Liver Segmentation
    Authors: Xia Y., Xie X., Wu X., Zhi J., Qiao S.
    Year: 2019
    Citation: Proceedings of ISNE 2019, DOI: 10.1109/ISNE.2019.8896442

Hojjatollah Shokri kaveh | Algorithms | Best Researcher Award

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Mr. Hojjatollah Shokri kaveh | Algorithms | Best Researcher Award

Ph.D at Shahid Beheshti University, Iran

Hojjatollah Shokri Kaveh is an accomplished PhD candidate in Applied Mathematics at Shahid Beheshti University, Tehran, recognized for his advanced research in numerical linear algebra, inverse problems, and iterative algorithms. With a passion for mathematical problem-solving and algorithm development, he has published over ten scientific papers in prestigious international journals, often in collaboration with globally respected researchers. His academic excellence is underscored by ranking 2nd in Iran’s national doctoral entrance exam and maintaining a high GPA of 19.2/20 during his PhD studies. In addition to his research endeavors, he has contributed significantly to education through years of teaching experience across institutions and online platforms. His strong programming skills in MATLAB, Python, and C complement his theoretical work, enabling robust computational solutions. Mr. Shokri Kaveh’s dedication, technical proficiency, and scholarly output position him as a highly promising researcher with the potential to make lasting contributions to applied mathematics and computational science.

Professional Profile 

Education🎓

Hojjatollah Shokri Kaveh is currently pursuing a PhD in Applied Mathematics at Shahid Beheshti University, Tehran, with an expected graduation in 2024. His outstanding academic performance is reflected in his remarkable GPA of 19.2 out of 20 and his achievement of securing 2nd place in Iran’s competitive national doctoral entrance exam in 2018. He holds a Master’s degree in Applied Mathematics from the Amirkabir University of Technology (Tehran Polytechnic), where he graduated in 2017 with a GPA of 16.5. His foundational academic journey began with a Bachelor’s degree in Applied Mathematics from Ilam University, which he completed in 2012. Throughout his academic career, he has focused on mathematical modeling, numerical solutions of partial differential equations, and the development of computational algorithms. His education has provided him with both deep theoretical knowledge and hands-on technical experience, preparing him well for high-level research and academic contributions in the field of applied mathematics.

Professional Experience📝

Hojjatollah Shokri Kaveh brings a diverse range of professional experiences, primarily centered on education and analytical work. He has worked as a mathematics teacher across several reputable platforms in Tehran, including Ostadbank and Aloostad, where he taught for two and three years respectively. Most recently, he served as a mathematics teacher at Sina School (2024–2025), reflecting his continued engagement with academic instruction. Earlier in his career, he also worked as an accountant at Azarnan Nazari for one year (2020–2021), showcasing his versatility and numerical accuracy in practical, real-world applications. His extensive teaching background underscores his strong communication skills, passion for mentoring, and ability to convey complex mathematical concepts clearly. These roles have not only strengthened his instructional capabilities but have also enriched his understanding of applied mathematics in various educational and organizational settings, making him well-rounded both as a researcher and an educator.

Research Interest🔎

Hojjatollah Shokri Kaveh’s research interests lie in the fields of numerical linear algebra, iterative methods for large-scale systems, regularization techniques, and inverse problems arising in partial differential equations. His work focuses on developing and optimizing computational algorithms—such as conjugate gradient, CGNE, and CGNR methods—for solving complex non-symmetric and ill-posed problems. He has a particular interest in Sylvester matrix equations and the mathematical modeling of physical phenomena such as heat conduction, wave propagation, and electrostatics. His publications demonstrate his expertise in variable s-step methods, mapped regularization techniques, and efficient solutions for Cauchy and Helmholtz equations. In addition to theory, he emphasizes algorithmic implementation, leveraging programming tools like MATLAB and Python to validate his methods. His collaborative research with international scholars further highlights the interdisciplinary and applicable nature of his work, bridging mathematical theory with engineering and control systems. His contributions aim to improve computational efficiency and accuracy in real-world scientific modeling.

Award and Honor🏆

One of the most notable honors achieved by Hojjatollah Shokri Kaveh is securing 2nd place in Iran’s highly competitive Doctoral Entrance Exam in Applied Mathematics in 2018, which granted him entry into the prestigious PhD program at Shahid Beheshti University. This national recognition is a testament to his academic rigor, problem-solving ability, and deep understanding of mathematical principles. His high GPA of 19.2/20 during his PhD further illustrates his consistent pursuit of academic excellence. In addition to formal accolades, his selection as a co-author with internationally esteemed scholars such as Dr. Anthony T. Chronopoulos serves as an informal but powerful acknowledgment of his research competence. His multiple publications in indexed international journals highlight his dedication to advancing mathematical science. These honors not only validate his past performance but also position him as a strong candidate for future recognitions, including awards for research, innovation, and contributions to scientific and academic communities.

Research Skill🔬

Hojjatollah Shokri Kaveh possesses a comprehensive set of research skills that bridge theoretical mathematics and practical computation. He is proficient in programming languages such as MATLAB, Python, and C, which he uses to develop and test numerical algorithms. His core competencies include data analysis, data visualization, numerical linear algebra, and iterative methods for solving large-scale linear systems, particularly under ill-posed conditions. He demonstrates expertise in partial differential equations, regularization methods, and inverse problems, with applications in image reconstruction, control systems, and physical simulations. His ability to combine mathematical theory with efficient algorithm design is evident in his high-quality publications in peer-reviewed journals. Mr. Shokri Kaveh is also skilled in scientific writing, LaTeX formatting, and peer communication—crucial for collaborative research. These capabilities allow him to contribute meaningfully to interdisciplinary projects, from initial modeling to final implementation, making him a valuable asset in both academic and applied research environments.

Conclusion💡

Mr. Hojjatollah Shokri Kaveh stands out as a highly capable and promising researcher in applied mathematics with a solid publication record, international collaboration, and exceptional academic performance. His contributions to numerical methods for solving complex mathematical systems are technically sophisticated and valuable to the scientific community.

With further emphasis on international visibility, real-world application, and quantitative impact metrics, he would be an even stronger contender. Nonetheless, based on his current profile, he is a suitable and deserving candidate for the Best Researcher Award.

Publications Top Noted✍

  • Title: Mapped Regularization Methods for the Cauchy Problem of the Helmholtz and Laplace Equations
    Authors: H. Shokri Kaveh, H. Adibi
    Year: 2021
    Citations: 7

  • Title: Finding Solution of Linear Systems via New Forms of BiCG, BiCGstab and CGS Algorithms
    Authors: H. Shokri Kaveh, M. Hajarian, A.T. Chronopoulos
    Year: 2024
    Citations: 3

  • Title: Developing Variable s-step CGNE and CGNR Algorithms for Non-symmetric Linear Systems
    Authors: H.S. Kaveh, M. Hajarian, A.T. Chronopoulos
    Year: 2024
    Citations: 2

  • Title: Efficient Image Reconstruction via Regularized Variable s-step Conjugate Gradient Method for Sylvester Matrix Equations
    Authors: H.S. Kaveh, M. Hajarian, A.T. Chronopoulos
    Year: 2025
    Citations: 1

  • Title: Variable s-step Technique for Planar Algorithms in Solving Indefinite Linear Systems
    Authors: H. Shokri Kaveh, M. Hajarian, A.T. Chronopoulos
    Year: 2025

  • Title: Exponential Cut-off Regularization Filter for the Cauchy Problem of the Helmholtz Equation
    Authors: Hojjatollah Shokri Kaveh
    Year: 2020

  • Title: A New Regularization Method for Backward Heat Conduction Problem
    Authors: Hojjatollah Shokri Kaveh
    Year: 2020

  • Title: Finite Difference Method for Solving Two-Dimensional Wave Equation
    Authors: Hojjatollah Shokri Kaveh, Hojjatollah Adibi
    Year: 2020

  • Title: Numerical Solution for Dirichlet and Cauchy Problems of Laplace Equation
    Authors: Hojjatollah Shokri Kaveh, Hojjatollah Adibi
    Year: 2020

  • Title: Mixed Regularization Methods for the Cauchy Problems of the Helmholtz Equation
    Authors: Hojjatollah Shokri Kaveh
    Year: 2019

Mohammadreza Aghamohammadi | Deep Metric Learning | Best Researcher Award

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Prof. Dr. Mohammadreza Aghamohammadi | Deep Metric Learning | Best Researcher Award

Head of Electrical Engineering epartment at  Shahid Beheshti University, Iran

Prof. MohammadReza Aghamohammadi is a distinguished academic and researcher in Electrical Engineering at Shahid Beheshti University, Iran, with over three decades of impactful contributions to power systems engineering. Currently serving as the Dean of the Faculty of Electrical Engineering, he is also the Head of the Iran Dynamic Research Center (IDRC). His career bridges academia and industry, focusing on real-world challenges such as power system stability, blackout prevention, and intelligent grid control. A leader in energy reliability, he has held numerous national roles in planning and reliability councils under Iran’s Ministry of Energy. He has guided over 80 theses at undergraduate, master’s, and Ph.D. levels, and organized key international conferences in power systems. With memberships in IEEE, Cigre, and IAEEE, Prof. Aghamohammadi is widely recognized for his technical leadership, mentorship, and sustained research excellence. His interdisciplinary expertise continues to shape the next generation of power system innovation in Iran and beyond.

Professional Profile 

Education🎓

Prof. Aghamohammadi’s academic journey spans prestigious institutions across Iran, the UK, and Japan. He earned his Bachelor of Science in Electrical Engineering from Sharif University of Technology in Tehran in 1980, laying a strong foundation in the field. He then pursued his Master’s degree in Electrical Engineering at the University of Manchester Institute of Science and Technology (UMIST), UK, graduating in 1986 with advanced expertise in electrical systems. His academic pursuit culminated in a Ph.D. in Electrical Engineering from Tohoku University in Sendai, Japan, in 1994. His doctoral research focused on the secure operation of electric power systems using neural network applications—an innovative and forward-looking topic at the time. His global academic background has equipped him with a broad and multidisciplinary understanding of electrical engineering, making him a well-rounded expert in both theoretical and applied power system studies, with an international perspective critical to energy research and innovation.

Professional Experience📝

Prof. Aghamohammadi’s professional career is marked by a unique blend of academic leadership and national-level energy sector involvement. From 1994 to 2012, he served at the Power & Water University of Technology (PWUT) as an Assistant Professor and held leadership roles including Vice Chancellor for Research and Head of the Power Industry Innovation Center. He served as a consultant to several key departments within Iran’s Ministry of Energy, including Tavanir and Moshanir Engineering Consultants. Since 2005, he has led the Iran Dynamic Research Center and has been a pivotal figure in shaping Iran’s power system strategies. At Shahid Beheshti University, he has held several roles: Head of Power Group, Head of Operation & Planning Group, and currently Dean of the Faculty of Electrical Engineering. His leadership also includes positions within the Iran Electric Reliability Council (IERC), where he contributed to strategic national planning for electrical system stability and development.

Research Interest🔎

Prof. Aghamohammadi’s research interests are deeply rooted in the stability, reliability, and intelligent control of electrical power systems. His work spans key areas such as power system security assessment, inter-area oscillations, cascading failure analysis, and blackout simulation—critical challenges in modern energy infrastructure. He has contributed extensively to voltage stability enhancement, reactive power control, and the implementation of controlled islanding strategies to prevent large-scale outages. A notable aspect of his research is the integration of artificial intelligence and neural network applications into power system operations, aligning traditional power engineering with cutting-edge computational techniques. His long-term research has been instrumental in projects such as the dynamic study of the Iranian power grid, voltage control using STATCOM, and load balancing in distribution networks. Prof. Aghamohammadi’s work not only addresses theoretical models but is directly applied in large-scale national projects, bridging academia with industry for sustainable and resilient power systems.

Award and Honor🏆

While specific individual awards are not detailed, Prof. Aghamohammadi’s honors are reflected through his extensive leadership roles, national responsibilities, and recognitions by key organizations. His appointment as Dean of the Faculty of Electrical Engineering and Director of the Iran Dynamic Research Center signify institutional trust in his expertise. He has served as Chair and Technical Head for prestigious conferences such as the International Power System Conference (1997) and the 17th International Conference on Protection and Automation (2023), recognizing his authority in the field. He is an active member of leading professional societies, including IEEE, Cigre, and IAEEE, indicating peer acknowledgment at both national and international levels. Furthermore, his role on strategic councils like the Iran Electric Reliability Council (IERC) underscores his contributions to national energy policy and planning. These cumulative recognitions and responsibilities are a testament to his status as one of Iran’s foremost experts in power system engineering and energy reliability.

Research Skill🔬

Prof. Aghamohammadi possesses a rich portfolio of advanced research skills centered on electrical power systems and intelligent energy management. He is proficient in dynamic system modeling, power system security evaluation, voltage and frequency stability analysis, and the development of preventive strategies against cascading failures and blackouts. His expertise includes simulation-based analysis, control algorithm design, and the application of artificial intelligence—especially neural networks—for enhanced grid operations. His contributions to long-term dynamic studies and reactive power control demonstrate his ability to manage complex systems with practical and scalable solutions. His research also involves technical knowledge in STATCOM applications, controlled islanding, and real-time decision-making in energy distribution networks. Moreover, he has led numerous multidisciplinary research projects and mentored graduate-level theses, indicating strong supervision and technical communication skills. These capabilities have enabled him to transform academic research into actionable insights for national grid planning and stability, making him a valuable asset to both academia and industry.

Conclusion💡

Prof. MohammadReza Aghamohammadi’s long-standing contributions to power system engineering, deep industry-academic integration, and academic leadership strongly support his nomination for the Best Researcher Award. His influence spans research excellence, institutional leadership, and real-world application, making him a standout candidate. While some enhancements in international visibility could be beneficial, his credentials already position him as a top-tier nominee for the award.

Publications Top Noted✍

  • Title: A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded microgrid
    Authors: MR Aghamohammadi, H Abdolahinia
    Year: 2014
    Citations: 370

  • Title: Intentional islanding using a new algorithm based on ant search mechanism
    Authors: MR Aghamohammadi, A Shahmohammadi
    Year: 2012
    Citations: 120

  • Title: Optimal distribution feeder reconfiguration and generation scheduling for microgrid day-ahead operation in the presence of electric vehicles considering uncertainties
    Authors: M Sedighizadeh, G Shaghaghi-shahr, M Esmaili, MR Aghamohammadi
    Year: 2019
    Citations: 82

  • Title: DT based intelligent predictor for out of step condition of generator by using PMU data
    Authors: MR Aghamohammadi, M Abedi
    Year: 2018
    Citations: 73

  • Title: Wavelet based feature extraction of voltage profile for online voltage stability assessment using RBF neural network
    Authors: S Hashemi, MR Aghamohammadi
    Year: 2013
    Citations: 70

  • Title: Application of Newton-based load flow methods for determining steady-state condition of well and ill-conditioned power systems: A review
    Authors: M Karimi, A Shahriari, MR Aghamohammadi, H Marzooghi, V Terzija
    Year: 2019
    Citations: 69

  • Title: A new approach for online coherency identification in power systems based on correlation characteristics of generators rotor oscillations
    Authors: MR Aghamohammadi, SM Tabandeh
    Year: 2016
    Citations: 63

  • Title: A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control
    Authors: S Oshnoei, MR Aghamohammadi, S Oshnoei, S Sahoo, A Fathollahi, …
    Year: 2023
    Citations: 55

  • Title: A three stages decision tree-based intelligent blackout predictor for power systems using brittleness indices
    Authors: MR Salimian, MR Aghamohammadi
    Year: 2017
    Citations: 53

  • Title: Decision tree analysis to identify harmful contingencies and estimate blackout indices for predicting system vulnerability
    Authors: E Aliyan, M Aghamohammadi, M Kia, A Heidari, M Shafie-khah, …
    Year: 2020
    Citations: 52

  • Title: Intelligent out of step predictor for inter area oscillations using speed-acceleration criterion as a time matching for controlled islanding
    Authors: MR Salimian, MR Aghamohammadi
    Year: 2016
    Citations: 48

  • Title: Enhancement of the LVRT capability for DFIG-based wind farms based on short-circuit capacity
    Authors: Z Rafiee, R Heydari, M Rafiee, MR Aghamohammadi, F Blaabjerg
    Year: 2022
    Citations: 44

  • Title: A new scheme of WADC for damping inter-area oscillation based on CART technique and Thevenine impedance
    Authors: S Ranjbar, MR Aghamohammadi, F Haghjoo
    Year: 2018
    Citations: 44

  • Title: Damping inter-area oscillation by generation rescheduling based on wide-area measurement information
    Authors: L Yazdani, MR Aghamohammadi
    Year: 2015
    Citations: 43

  • Title: Provision of frequency stability of an islanded microgrid using a novel virtual inertia control and a fractional order cascade controller
    Authors: S Oshnoei, M Aghamohammadi, S Oshnoei, A Oshnoei, …
    Year: 2021
    Citations: 40

  • Title: A new approach for mitigating blackout risk by blocking minimum critical distance relays
    Authors: MR Aghamohammadi, S Hashemi, A Hasanzadeh
    Year: 2016
    Citations: 35

  • Title: A deep learning-based attack detection mechanism against potential cascading failure induced by load redistribution attacks
    Authors: A Khaleghi, MS Ghazizadeh, MR Aghamohammadi
    Year: 2023
    Citations: 32

  • Title: A review on data-driven security assessment of power systems: Trends and applications of artificial intelligence
    Authors: A Mehrzad, M Darmiani, Y Mousavi, M Shafie-Khah, M Aghamohammadi
    Year: 2023
    Citations: 30

  • Title: Identification of coherent groups of generators based on synchronization coefficient
    Authors: H Davarikia, F Znidi, MR Aghamohammadi, K Iqbal
    Year: 2016
    Citations: 27

  • Title: Sensitivity characteristic of neural network as a tool for analyzing and improving voltage stability
    Authors: M Aghamohammadi, M Mohammadian, H Saitoh
    Year: [Year Not Specified]
    Citations: Not Provided (from IEEE/PES T&D Conf. proceedings)

Zhicheng Zheng | Urban planning | Best Researcher Award

Posted on by Computer Vision Awards

Assoc. Prof. Dr. Zhicheng Zheng | Urban planning | Best Researcher Award

Henan University, China

Dr. Zheng Zhicheng, an Associate Researcher at Henan University specializing in Human Geography, is a highly promising candidate for the Best Researcher Award. With a Ph.D. and a strong publication record in SSCI/SCI Q1 journals such as Journal of Transport Geography, Applied Geography, and BMC Public Health, his work demonstrates both academic excellence and societal relevance. His research spans urban mobility, spatial equity, public health, and environmental change, employing advanced methodologies like web mapping APIs and spatio-temporal modeling. Dr. Zheng’s contributions address pressing global issues such as ride-hailing impacts, green space access, and COVID-19 mobility patterns, showcasing innovation and interdisciplinary depth. While his focus has been largely China-based, his findings have broader implications for urban and transport planning worldwide. Though still in the early stages of his career, his consistent output, technical expertise, and relevant research topics position him as a deserving nominee for this recognition in the emerging researcher category.

Professional Profile 

Education🎓

Dr. Zheng Zhicheng holds a Ph.D. in Human Geography, reflecting his strong academic foundation and specialized expertise in spatial analysis, urban studies, and environmental systems. He earned his doctoral degree from Henan University, a respected institution known for its research contributions in the field of geography and environmental sciences. His academic training has equipped him with a deep understanding of spatial dynamics, urban mobility, and geographic information systems (GIS), which he has effectively applied in his research on transportation networks, public health, and urban sustainability. Throughout his education, Dr. Zheng demonstrated a commitment to rigorous empirical research, integrating advanced methodologies such as spatio-temporal analysis and web-based mapping tools. His educational journey has been marked by a multidisciplinary approach, combining geography with urban planning, environmental science, and data analytics. This academic background has laid a solid foundation for his ongoing research and scholarly contributions to key issues affecting modern urban environments.

Professional Experience📝

Dr. Zheng Zhicheng currently serves as an Associate Researcher at Henan University, where he actively contributes to the field of Human Geography through high-impact research and interdisciplinary collaboration. His professional experience is deeply rooted in spatial analysis, urban mobility, environmental equity, and public health, with a strong emphasis on applying geographic information systems (GIS) and web mapping technologies. Over the years, he has led and participated in numerous research projects that explore the dynamic relationship between urban infrastructure, transportation systems, and human well-being. Dr. Zheng has authored and co-authored several peer-reviewed articles published in top-tier SSCI/SCI journals, reflecting his commitment to academic excellence and societal relevance. His work on ride-hailing impacts, park accessibility, medical services, and COVID-19 mobility patterns has garnered recognition for its methodological innovation and policy relevance. As a young scholar, he is building a strong research profile and steadily emerging as a key contributor in urban and spatial studies.

Research Interest🔎

Dr. Zheng Zhicheng’s research interests lie at the intersection of human geography, urban mobility, spatial equity, and environmental sustainability. He is particularly focused on understanding how urban form, built environments, and transportation systems influence social equity and public health outcomes. His work explores critical themes such as the substitution effects of ride-hailing on public transport, accessibility to green spaces and healthcare services, and the spatial dynamics of disease spread, including COVID-19. With a strong emphasis on spatio-temporal analysis and the use of innovative tools like web mapping APIs and geographic information systems (GIS), Dr. Zheng aims to provide data-driven insights for sustainable urban planning and policy-making. He is also interested in the impacts of climate change and human activity on environmental vulnerability. Through interdisciplinary and empirical research, Dr. Zheng seeks to address real-world urban challenges, improve quality of life in cities, and contribute to the development of more equitable and resilient urban systems.

Award and Honor🏆

Dr. Zheng Zhicheng has earned recognition for his scholarly contributions through publications in prestigious SSCI/SCI Q1 journals, reflecting the academic community’s acknowledgment of his impactful research in human geography and urban studies. Although still in the early stages of his professional career, his work has demonstrated excellence in both innovation and societal relevance, which has positioned him as an emerging thought leader in spatial analysis and sustainable urban development. His research achievements—such as studies on ride-hailing dynamics, spatial equity of healthcare and green spaces, and COVID-19 mobility modeling—have contributed significantly to policy-relevant discussions and practical urban planning strategies. While formal awards and honors are not explicitly listed, his consistent presence in top-tier journals serves as a testament to the quality and rigor of his work. As his career progresses, Dr. Zheng is well poised to receive further academic honors and accolades in recognition of his growing influence in the field of human geography.

Research Skill🔬

Dr. Zheng Zhicheng possesses a diverse and advanced set of research skills that align closely with his expertise in human geography and urban studies. He is highly proficient in Geographic Information Systems (GIS), spatio-temporal analysis, and web-based mapping technologies, which he applies to examine complex urban and environmental systems. His methodological strengths include spatial accessibility modeling, the KD2SFCA method, and the use of Web Map APIs for empirical data collection and analysis. Dr. Zheng is skilled in handling large-scale spatial datasets, performing multi-activity network analysis, and integrating socio-economic and environmental variables into geospatial models. These capabilities have enabled him to conduct in-depth investigations on topics such as ride-hailing substitution effects, spatial equity of healthcare and green spaces, and disease spread modeling during the COVID-19 pandemic. His strong analytical thinking, data interpretation abilities, and technical competence make him a valuable contributor to interdisciplinary research addressing urban sustainability and social equity challenges.

Conclusion💡

Dr. Zheng Zhicheng is a highly promising early-career researcher with a strong and impactful publication record in human geography, urban studies, and sustainable mobility. His consistent presence in Q1 SSCI/SCI journals, use of cutting-edge geospatial methodologies, and focus on real-world problems demonstrate the hallmarks of a high-caliber academic.

Publications Top Noted✍

  • Title: Detection of spatiotemporal changes in ecological quality in the Chinese mainland: Trends and attributes
    Authors: Li, Y.; Tian, H.; Zhang, J.; Lu, S.; Xie, Z.; Shen, W.; Zheng, Z.; Li, M.; Rong, P.; Qin, Y.
    Year: 2023
    Citation: Science of the Total Environment, DOI: 10.1016/j.scitotenv.2023.163791

  • Title: Trends in drought and effects on carbon sequestration over the Chinese mainland
    Authors: Li, Y.; Li, M.; Zheng, Z.; Shen, W.; Li, Y.; Rong, P.; Qin, Y.
    Year: 2023
    Citation: Science of the Total Environment, DOI: 10.1016/j.scitotenv.2022.159075

  • Title: A review of research on low-carbon school trips and their implications for human-environment relationship
    Authors: Rong, P.; Kwan, M.-P.; Qin, Y.; Zheng, Z.
    Year: 2022
    Citation: Journal of Transport Geography, DOI: 10.1016/j.jtrangeo.2022.103306

  • Title: Understanding the impact of the built environment on ride-hailing from a spatio-temporal perspective: A fine-scale empirical study from China
    Authors: Zheng, Z.; Zhang, J.; Zhang, L.; Li, M.; Rong, P.; Qin, Y.
    Year: 2022
    Citation: Cities, DOI: 10.1016/j.cities.2022.103706

  • Title: A integrated method for assessing the urban ecosystem health of rapid urbanized area in China based on SFPHD framework
    Authors: Shen, W.; Zheng, Z.; Pan, L.; Qin, Y.; Li, Y.
    Year: 2021
    Citation: Ecological Indicators, DOI: 10.1016/j.ecolind.2020.107071

  • Title: Digital consumption innovation, socio-economic factors and low-carbon consumption: Empirical analysis based on China
    Authors: Zhang, J.; Zheng, Z.; Zhang, L.; Qin, Y.; Wang, J.; Cui, P.
    Year: 2021
    Citation: Technology in Society, DOI: 10.1016/j.techsoc.2021.101730

  • Title: Exploring the influence of human mobility factors and spread prediction on early COVID-19 in the USA
    Authors: Zheng, Z.; Xie, Z.; Qin, Y.; Wang, K.; Yu, Y.; Fu, P.
    Year: 2021
    Citation: BMC Public Health, DOI: 10.1186/s12889-021-10682-3

  • Title: Influencing factors of environmental risk perception during the COVID-19 epidemic in China
    Authors: Zhang, J.; Zheng, Z.; Zhang, L.; Qin, Y.; Duan, J.; Zhang, A.
    Year: 2021
    Citation: International Journal of Environmental Research and Public Health, DOI: 10.3390/ijerph18179375

  • Title: Relative contributions of natural and man-made factors to vegetation cover change of environmentally sensitive and vulnerable areas of China
    Authors: Li, Y.; Zheng, Z.; Qin, Y.; Rong, P.
    Year: 2021
    Citation: Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2021.128917

  • Title: Evaluation of the spatial equity of medical facilities based on improved potential model and map service API: A case study in Zhengzhou, China
    Authors: Rong, P.; Zheng, Z.; Kwan, M.-P.; Qin, Y.
    Year: 2020
    Citation: Applied Geography, DOI: 10.1016/j.apgeog.2020.102192

Shihao Wang | Semantic Segmentation | Best Researcher Award

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Mr. Shihao Wang | Semantic Segmentation | Best Researcher Award

Xinjiang University, China

Author Profiles

Scopus

🎓 Education Background

Mr. Shihao Wang completed his undergraduate studies at the North China Institute of Science and Technology from September 2016 to June 2020, earning a Bachelor of Science in Information Management & Information Systems. He then pursued graduate studies at Xinjiang University, where he obtained his Master’s degree in Computer Technology from September 2021 to May 2024. His academic path reflects a solid foundation in both information systems and advanced computing technologies.

🧠 Professional Skills

Mr. Wang is highly proficient in Python and PyTorch, with extensive experience in data processing, model training, and optimization. He is familiar with CUDA for parallel computing, enabling efficient use of GPU resources in deep learning tasks. His technical toolkit includes Linux command-line operations and shell scripting, which he leverages for server management and deployment processes. He has hands-on experience with model deployment, including the implementation of large models such as Deepseek with WebUI, and is well-versed in model compression techniques like distillation and quantization to optimize resource usage without sacrificing accuracy. In addition to technical skills, Mr. Wang has contributed to the preparation of bidding documents and maintains a keen awareness of emerging technologies in the field of computing power and infrastructure.

💼 Work Experience

Since July 2024, Mr. Wang has been working at the Cloud Network Operation Center of China Telecom, Urumqi Branch. His responsibilities include the operation and maintenance of cloud platforms and IDC data centers. He oversees equipment migrations, system upgrades, and optimization tasks to ensure the stability and efficiency of infrastructure operations. He has also been involved in computing power and chip technology planning, contributing to the development of resource allocation strategies and system architecture design. Mr. Wang plays a pivotal role in project delivery and technical support, providing key input in projects like the Xinjiang Intelligent Computing Center and the Yan’an Road Data Center, where he has helped with technical proposals, equipment quotations, and bidding processes.

Among his notable projects is the development of a Real 3D Mixed Reality Scene Construction System using NeRF (Neural Radiance Fields) and 3D Gaussian Splatting. This initiative, under an edge-cloud collaborative architecture, combines high-performance terminal data acquisition with cloud-based model optimization for real-time rendering. Mr. Wang also contributed to the cloud service upgrade for the Xinjiang Party School and Xinjiang Science and Technology Press, executing system updates and centralized management of terminal devices. Additionally, he was a part of the Xinjiang Integrated Government Service Platform reconstruction, working in collaboration with the Autonomous Region’s Digital Development Bureau to optimize user portals and service modules.

🧪 Project Experience

In 2018–2019, during his undergraduate studies, Mr. Wang participated in the development of the “Baiyinhuo Emergency Management System” under the guidance of his academic mentors and a doctoral student from China University of Mining and Technology. This project laid the groundwork for his interest in complex system design. As part of his master’s program, he was involved in a National Key R&D sub-project, focusing on edge-cloud collaboration for mixed reality applications, which incorporated advanced AI technologies such as NeRF. He also filed for a software copyright for his work on the “Scene Segmentation System Based on Transformer”. In parallel, Mr. Wang served as a member of the CCF Xinjiang University Chapter, where he supported academic conference organization and contributed to various professional activities coordinated by his supervisors.

🏆 Honors & Certifications

Mr. Wang has been recognized for his academic excellence and leadership. In 2018, he was awarded a Third-Class Scholarship for his performance. That same year, he was elected Deputy Minister of the Student Union and honored as an Outstanding Cadre. Upon completion of his undergraduate studies in 2020, he was named an Excellent Presenter during his thesis defense. In 2023, he successfully passed the CET-6 (College English Test Band 6), demonstrating his proficiency in academic English.

Notable Publications📝

📄 HyperSegmenter: Reappraising the potential of large kernel CNN architecture in efficient semantic segmentation

Authors: Shihao Wang, Zhengxing Huang, Xirali Ablat, Alimjan Aysa, Kurban Ubul

Journal: Expert Systems with Applications

Year: 2025

Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

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Assoc. Prof. Dr. Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

National Taiwan University Cancer Center, Taiwan

Author Profiles

Orcid

🎓 Academic and Professional Background

Dr. Ko earned his Medical Degree from NTUCM in 1995 and later completed his PhD in Clinical Medicine from the same institution. He has held prestigious leadership roles, including President of the Taiwan Society of Blood and Marrow Transplantation (2019–2022) and President of the Taiwan Society of Pharmacoeconomics and Outcome Research (2018–2023). He is also a member of the Executive Committee of the Asian-Pacific Blood and Marrow Transplantation (APBMT) Group, and currently presides over the Hematology Society of Taiwan (HST).

🏥 Designation and Institution

Assoc. Prof. Dr. Bor-Sheng Ko serves as the Director of the Department of Hematological Oncology at the National Taiwan University Cancer Center, Taiwan. He also holds dual roles as Director of the Tai-Cheng Cell Therapy Center and Associate Professor at the National Taiwan University College of Medicine (NTUCM).

🌍 Professional Memberships

Dr. Ko is actively engaged in numerous professional societies, including the Taiwan Society of Internal Medicine, Hematology Society of Taiwan, Taiwan Society of Blood and Marrow Transplantation, American Hematology Society, European Hematology Association, Asian-Pacific Bone and Marrow Transplantation Group, International Society of Pharmacoeconomics and Outcome Research, International Society of Cell Therapy, and the European Blood and Marrow Transplantation Group.

🔬 Areas of Research

Dr. Ko’s research spans hematology, hematopoietic stem cell transplantation (HSCT), pharmaco-economics, and the application of machine learning and deep learning in data science for clinical use. His interdisciplinary focus bridges traditional clinical research with cutting-edge computational methods.

📈 Research Contributions

Dr. Ko is a prominent figure in the study of hematopoietic diseases, particularly leukemia, lymphoma, and HSCT. He has recently led projects on medical databank development, big data analysis, and the integration of AI technologies—including machine learning and deep learning algorithms—into healthcare settings. A dedicated academic, Dr. Ko has published extensively in high-impact international journals, significantly advancing research in his fields of expertise.

Notable Publications📝

📝Recommendations for the treatment and management of adult B‐Cell acute lymphoblastic leukemia in Asia‐Pacific: Outcomes from a pilot initiative

Author: Zhentang Lao; Kwong Yok Lam; Yuk Man Carol Cheung; Chieh‐Lin Teng; Vivek Radhakrishnan; Dinesh Bhurani; Bor‐Sheng Ko; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2024

📝Pooled analysis of pralatrexate single-agent studies in patients with relapsed/refractory peripheral T-cell lymphoma

Author: Owen A. O’Connor; Bor-Sheng Ko; Ming-Chung Wang; Dai Maruyama; Yuqin Song; Ee-Min Yeoh; Nick Manamley; Kensei Tobinai

Journal: Blood Advances

Year: 2024

📝Asia‐Pacific Leukemia Consortium: An innovative and collaborative initiative to improve care of leukemia and related diseases in the Asia‐Pacific region

Author: Zhentang Lao; Eric Wai Choi Tse; Suporn Chuncharunee; Yok Lam Kwong; Andrew Wei; Bor Sheng Ko; Jin Seok Kim; Soo Chin Ng; Jianxiang Wang; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2023

📝A Chunking-for-Pooling Strategy for Cytometric Representation Learning for Automatic Hematologic Malignancy Classification

Author: Jeng-Lin Li; Yun-Chun Lin; Yu-Fen Wang; Sara A. Monaghan; Bor-Sheng Ko; Chi-Chun Lee

Journal: IEEE Journal of Biomedical and Health Informatics

Year: 2022

📝Iptacopan monotherapy in patients with paroxysmal nocturnal hemoglobinuria: a 2-cohort open-label proof-of-concept study

Author: Jun Ho Jang; Lily Wong; Bor-Sheng Ko; Sung-Soo Yoon; Katie Li; Irina Baltcheva; Prasanna Kumar Nidamarthy; Raghav Chawla; Guido Junge; Eng Soo Yap

Journal: Blood Advances

Year: 2022

Yunting Liu | Sentiment Analysis | Best Researcher Award

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Ms. Yunting Liu | Sentiment Analysis | Best Researcher Award

Sun Yat-sen University, China

Author Profile

Orcid

🎓 Education Background

Ms. Yunting Liu is currently pursuing her Master of Science in Business at the School of Business, Sun Yat-Sen University, Guangzhou, China, under the academic supervision of Prof. Yirong Huang (09/2022–06/2025). She has maintained an outstanding GPA of 90/100, placing her in the top 5% of her cohort. Notable coursework includes “Data Analysis and Visualization by R” (score: 90) and “Natural Language Processing” (score: 95). She previously earned her Bachelor of Science in Business from the same institution (09/2018–06/2022), guided by Prof. Keming Wang, with a GPA of 88/100 and a ranking in the top 15%. During her undergraduate studies, she excelled in quantitative subjects such as Advanced Mathematics (97, ranked 1st/147), Linear Algebra (98, ranked 12th/147), and Probability Theory (92, ranked 11th/147). She also demonstrated strong programming skills in Java and Machine Learning courses.

🔬 Research Experience

Yunting has contributed to cutting-edge interdisciplinary research in both business intelligence and sustainable finance. Since September 2023, she has been leading the development of “A Multimodal Framework of Sentiment Analysis, Volatility Forecasting, and Investment Strategy,” where she implemented sentiment-driven option arbitrage and index timing strategies, significantly enhancing forecasting accuracy and investment returns. Earlier, from September 2021 to July 2022, she conducted an empirical study titled “Corporate Greenwashing Behavior, Green Credit and Financing Capability”, applying text analysis to measure environmental disclosures and assess the effects of green credit policies on corporate behavior.

🏆 Honors and Awards

Yunting Liu’s academic excellence and research contributions have earned her numerous accolades. She has been a recipient of the First Class Scholarship from Sun Yat-Sen University for three consecutive years (2022, 2023, 2024). Her undergraduate thesis was recognized as an Excellent Graduation Thesis in June 2022. Additionally, she received the Second Class Scholarship for three years in a row (2019, 2020, 2021), highlighting her consistent performance and dedication throughout her academic journey.

Notable Publications📝

📝A multimodal deep learning framework for constructing a market sentiment index from stock news

Author(s): Yunting Liu, Yirong Huang

Journal: Big Data Research

Year: 2025

📝BioMolFormer: A Novel Approach to Molecular Generation with SELFIES and Monte Carlo Tree Search

Author(s): Yuntao Zhang, Lei Liu, Yunting Liu, Fengwei Wang, Leqi Shi

Journal: Proceedings of the ACM Conference

Year: 2024

Ali Haider | Computational Fluid Dynamics | Best Researcher Award

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Dr. Ali Haider | Computational Fluid Dynamics | Best Researcher Award

Northwestern Polytechnical University Xi’an, China, China

Author Profiles

Scopus

🎓 Education and Training

Dr. Ali Haider is currently pursuing a Doctor of Philosophy (PhD) at Northwestern Polytechnical University in China from 23/08/2021 to 28/06/2025. His research focuses on the multiphysics behavior of complex fluids, especially heat and mass transfer in non-Newtonian and viscoelastic systems. Dr. Haider has developed an advanced computational framework that integrates both fractional-order and integer-order modeling approaches. By utilizing the Caputo fractional derivative, his work effectively captures memory-dependent effects and hereditary behaviors, providing a more precise and flexible representation of fluid dynamics. To solve these complex models, he employs cutting-edge numerical techniques such as the L1 algorithm, Finite Element Methods (FEM), and Finite Difference Schemes, all implemented in MATLAB. Additionally, he integrates Artificial Neural Networks (ANNs) to enhance computational efficiency and accuracy, especially when modeling highly nonlinear fluid behaviors. His research also includes the effects of magnetic fields, thermal radiation, and buoyancy on fluid dynamics, providing a comprehensive analysis of velocity profiles, temperature distributions, and concentration gradients. The findings have significant implications for optimizing heat and mass transfer in industrial systems, biomedical devices, and environmental technologies.

Dr. Haider previously completed his Master of Philosophy (M.Phil.) in Mathematics at University of Agriculture, Faisalabad, Pakistan, from 01/08/2018 to 01/02/2021, where he earned a final grade of 3.90/4.00. His thesis focused on the analysis of the reflected field in a channel waveguide by exploiting symmetry. He also holds a Master of Science (M.Sc.) in Mathematics from Government College University, Faisalabad (2016-2018), where he achieved a final grade of 3.70/4.00.

💼Work Experience

Dr. Ali Haider served as a Lecturer in the Department of Mathematics at the University of Jhang from 15/09/2020 to 20/12/2022, where he delivered engaging lectures and mentored students. His teaching approach aimed to inspire students to appreciate the beauty of mathematics while fostering critical thinking and problem-solving skills. He collaborated with faculty members to enhance teaching strategies and actively contributed to creating an interactive classroom environment. Dr. Haider’s role extended beyond just instruction, focusing on nurturing students’ intellectual growth and preparing them for real-world challenges.

Before his time at the University of Jhang, Dr. Haider taught as a Lecturer in the Department of Mathematics at Abdul Salam College in Faisalabad from 10/04/2019 to 10/09/2020. His goal was to make mathematics accessible and enjoyable, using real-life applications and interactive methods. Prior to that, he worked at The Summit College in Faisalabad from 01/10/2018 to 02/10/2019, where he focused on simplifying complex mathematical concepts and fostering a problem-solving mindset among students.

🏆Honours and Awards

Dr. Ali Haider has received numerous prestigious awards throughout his academic career. He was the winner of the Presidential Scholarship at Northwestern Polytechnical University for exceptional academic performance. He also earned the Academic Star Award (2023-2024) at NPU, recognizing his academic excellence among international students. During his studies at Government College University, Faisalabad, Dr. Haider was honored with the Provincial-Level Merit Award and was nominated for the Punjab Educational Endowment Fund (PEEF) Scholarship. Furthermore, he was recognized with the National Innovation Honor & Academic Excellence Award, which led to his nomination for the Prime Minister Youth Innovation Program.

Beyond academics, Dr. Haider was recognized for his leadership and organizational skills. He orchestrated the Math’s Carnival at Government College University, creating a memorable experience for students and faculty. He also contributed to the success of various sporting events, including his role as the Volunteer Organizer for the Inter-Provincial Games and the Sports Gala Maestro for the University of Agriculture, Faisalabad.

🔬Research Interests

Dr. Haider’s research spans multiple advanced areas in the field of Computational Fluid Dynamics (CFD). His interests include Advanced Computational Modeling, Fractional Calculus in Engineering, and the study of Non-Newtonian and Multiphase Flow. He is also focused on AI and Data-Driven Simulation techniques and the analysis of Multiphysics and Multiscale Transport Phenomena. His expertise extends to Nonlinear Transport Phenomena in Complex Materials and the study of Acoustic Waves. These interests are deeply rooted in his ongoing research to understand complex fluid systems and improve heat and mass transfer processes.

💡Skills

Dr. Haider possesses a strong skill set in a variety of fields that complement his academic and research work. He is proficient in using Microsoft Office, MATLAB, and LaTeX for documentation and reporting. His analytical capabilities are enhanced by tools such as RSoftware, SPSS, FreeFem, Mathematica, and COMSOL. He is also skilled in problem-solving, teamwork and collaboration, and logical reasoning. His technical versatility allows him to approach problems with a comprehensive, interdisciplinary perspective, making him highly adaptable in research and teaching settings.

Notable Publications📝 

📝 MnFe₂O₄ Thin Film Electrodes via AACVD: A Facile Route for Enhanced Oxygen Evolution Reaction

Authors: A. Zaka, M. Aftab, N. Fatima, W.A. Shah, M.A. Mansoor

Journal: Fuel

Year: 2025

📝 Revolutionizing Electrocatalytic Synergy: Optimized ZrO₂–Co₃O₄ Composites for High-Efficiency Oxygen Evolution Reaction

Authors: A. Mahnoor, F. Marriam, K. Munawar, S.M. Abbas, M.A. Mansoor

Journal: Journal of Applied Electrochemistry

Year: 2025

📝 Numerical Simulations of Heat and Mass Transfer in Sutterby Fluid within Porous Media Using Caputo Fractional Derivative

Authors: A. Haider, M.S. Anwar, Y. Nie, T. Muhammad

Journal: International Communications in Heat and Mass Transfer

Year: 2025

📝 Heteroleptic Zn(II) Complexes; Synthesis, Spectral Characterization, DNA Interaction, Enzyme Inhibition, and Docking Studies

Authors: S. Muzaffar, S. Naz, F. Mazhar, A. Haider, K.S. Munawar

Journal: Journal of Molecular Structure

Year: 2025

📝 Evaluating the Interaction Between the Antineoplastic Drug Bexarotene and Double-Stranded DNA Using Electrochemical, Spectroscopic, and Molecular Docking Studies

Authors: R. Khan, Ç.K. Dindar, A. Karayel, A. Haider, B. Uslu

Journal: Chemistryselect

Year: 2025

Mr. Zitong Wen | Remote Sensing | Best Researcher Award

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Mr. Zitong Wen | Remote Sensing | Best Researcher Award

University of Bristol, United Kingdom

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

Publications

How can we improve data integration to enhance urban air temperature estimations?

  • Author: Zitong Wen, Lu Zhuo, Meiling Gao, Dawei Han
  • Journal: International Journal of Applied Earth Observation and Geoinformation
  • Year: 2025

Potential methods to improve urban air temperature estimations

  • Author: Zitong Wen, Lu Zhuo, Dawei Han
  • Journal: AGU Fall Meeting Abstracts
  • Year: 2024

Data fusion for estimating high-resolution urban heatwave air temperature

  • Author: Zitong Wen, Lu Zhuo, Qin Wang, Jiao Wang, Ying Liu, Sichan Du, Ahmed Abdelhalim, Dawei Han
  • Journal: Remote Sensing
  • Year: 2023

Estimating air temperature with high spatio-temporal resolution in urban areas during heatwaves using genetic programming algorithm combined with multi-source datasets

  • Author: Zitong Wen, Lu Zhuo, Qin Wang, Dawei Han
  • Journal: EGU General Assembly Conference Abstracts
  • Year: 2023

Rapid Flood inundation mapping using SAR data with Google Earth Engine cloud platform

  • Author: Qin Wang, Lu Zhuo, Chen Li, Miguel Rico-Ramirez, Zitong Wen, Dawei Han
  • Journal: EGU General Assembly Conference Abstracts
  • Year: 2023