Muhammad Saeed Iqbal | Network Resilience | Young Researcher Award

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Dr. Muhammad Saeed Iqbal | Network Resilience | Young Researcher Award

Meezan Bank Ltd. | Pakistan

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Dr. Muhammad Saeed Iqbal - Academic and Professional Profile

Early Academic Pursuits

Dr. Muhammad Saeed Iqbal has consistently demonstrated a passion for research, administration, and finance from the early stages of his academic journey. His training in banking, finance, and research methodologies provided him with a strong foundation in quantitative analysis, credit risk management, and financial systems. With a keen interest in data analysis and statistical tools, he mastered software such as SPSS, STATA, EViews, and SMART PLS, becoming an expert in handling complex syntaxes and research modeling. His academic background reflects a dedication to bridging theoretical concepts with practical financial applications, particularly in the realm of Islamic banking and risk management.

Professional Endeavors

Dr. Iqbal’s professional career is deeply rooted in the banking and finance industry, with progressive roles that illustrate his expertise and growth. Starting as an Intern at the National Bank of Pakistan (2012), he quickly moved into financial and administrative positions. He worked as a Branch Accountant and Loan Officer at ASA Pakistan Ltd, followed by his role as a Credit Risk Officer at NRSP Bank Ltd, where he developed expertise in risk assessment and management. His significant contributions came during his tenure at Meezan Bank Ltd, Pakistan’s leading Islamic bank, where he served in various capacities including CIU Officer (Car Ijarah Department), CAD Officer (Credit Administration Department), and currently as a Credit Analyst (House Finance Department). Each role enriched his knowledge of Islamic financial instruments, risk management, and compliance practices, while also enhancing his practical application of research in banking operations.

Contributions and Research Focus

Dr. Iqbal’s research primarily revolves around Islamic banking, credit risk management, financial performance, corporate governance, and sustainable finance. His publications extensively analyze the unique dynamics of Islamic financial systems in Pakistan, addressing themes such as:

  • Islamic house financing and Car Ijarah models

  • Shari’ah compliance in Zakat reserves and dividend regulations

  • Impact of corporate governance on capital structure

  • Credit risk and mortgage performance in Islamic banks

  • Sustainability through digital technologies in green supply chains

Beyond Islamic finance, he has explored diverse research domains, including organizational behavior, supply chain sustainability, monetary management in healthcare, and the role of social media in SMEs’ marketing strategies. This interdisciplinary approach reflects his versatility and intellectual curiosity.

Impact and Influence

Dr. Iqbal’s research has contributed to enhancing the understanding of Islamic banking practices in Pakistan, offering empirical insights that support regulatory frameworks and institutional decision-making. His findings on credit risk management and mortgage performance are valuable for both practitioners and policymakers aiming to strengthen Islamic financial systems. As an academic facilitator, he has conducted workshops on statistical and econometric tools, empowering faculty members and research students with advanced analytical skills. His role as a mentor in data-driven financial research further amplifies his influence on upcoming scholars in the field.

Academic Citations and Recognition

With numerous publications across reputed journals in Islamic finance, business studies, and economics, Dr. Iqbal’s work is being increasingly cited in both academic and professional contexts. His contributions to Journal of Applied Economics and Business Studies, Islamic Banking and Finance Review, COMSATS Journal of Islamic Finance, and International Journal of Management Research and Emerging Sciences underscore his recognition in scholarly circles. His papers are also available on global repositories such as SSRN, further extending his academic visibility.

Legacy and Future Contributions

Dr. Iqbal’s legacy lies in his commitment to strengthening Islamic financial systems through applied research and professional expertise. His dual experience in industry practice and academic scholarship positions him uniquely as a bridge between theory and practice. Going forward, his research is likely to expand into digital finance, fintech integration in Islamic banking, and sustainable development in financial institutions, areas that are rapidly transforming global financial landscapes. His ongoing dedication ensures that his contributions will continue to influence both academia and industry.

Conclusion

Dr. Muhammad Saeed Iqbal epitomizes the integration of academic excellence, professional expertise, and research-oriented practice. His journey from banking institutions to academic research showcases his unwavering dedication to financial innovation, risk management, and Islamic banking development. With a growing body of impactful publications and professional achievements, Dr. Iqbal stands as a significant contributor to the advancement of Islamic finance, sustainable banking, and applied economic research. His future endeavors promise to further shape the discourse in both scholarly and professional domains.

Notable Publications

“AI in Islamic finance: Global trends, ethical implications, and bibliometric insights" 

  • Author: MS Iqbal, FAMSB Sukamto, SNB Norizan, S Mahmood, A Fatima
  • Journal: Review of Islamic Social Finance and Entrepreneurship
  • Year: 2025

"Resilience in Islamic Microfinance: Examining Women, Organizations, and Agricultural Consumers’ Impact on Credit Risk" 

  • Author: MS Iqbal, SM Fikri‏
  • Journal: Journal of the Knowledge Economy
  • Year: 2025

"Examining financial well-being among students: Islamic social finance and theory of planned behavior approach" 

  • Author: SNB Norizan, NBA Bakar, MS Iqbal, IBM Idris
  • Journal: Review of Islamic Social Finance and Entrepreneurship
  • Year: 2025

"Impact of Globalisation, AI Adoption, and FinTech Integration on Banking Sector Performance and Customer Satisfaction in Post-COVID Pakistan" 

  • Author: MS Iqbal, SM Fikri
  • Journal: The Pakistan Development Review
  • Year: 2025

"Optimizing resilience: Impact of credit risk management on financial performance in Islamic banking" 

  • Author: A Iqbal, MS Iqbal, A Fatima, MA Ghori, S Tahir
  • Journal: Zakariya Journal of Social Science
  • Year: 2025

 

Ghulam Zakir-Hassan | Natural Resources Conservation | Best Researcher Award

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Dr. Ghulam Zakir-Hassan | Natural Resources Conservation | Best Researcher Award

Irrigation Research Institute | Pakistan

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Orcid ID

Early Academic Pursuits

Dr. Ghulam Zakir-Hassan demonstrated exceptional academic excellence from the beginning of his educational journey. Securing first position in his B.Sc. Agricultural Engineering at the University of Agriculture Faisalabad with an impressive 83% and two gold medals, he established himself as a high achiever. His consistent record of first-class distinctions, from matriculation to higher secondary education, reflects a solid academic foundation. Building on this success, he pursued a Master of Engineering in Irrigation Engineering and Management at the Asian Institute of Technology, Thailand, graduating with distinction under a Royal Netherlands Government scholarship. His academic pursuit culminated in a Ph.D. in Hydrology from Charles Sturt University, Australia (2024), focusing on sustainable groundwater management through managed aquifer recharge in Punjab, Pakistan.

Professional Endeavors

With over three decades of professional experience (1993–present), Dr. Zakir-Hassan has worked extensively in water resources planning, management, and sustainable development. His expertise spans groundwater development, managed aquifer recharge, rainwater harvesting, climate change adaptation, geotechnical investigations, canal lining, seepage management, sediment analysis, and water policy governance. He has collaborated with national and international institutions, contributing to project planning, capacity building, and technical training. His roles in both academic and professional domains highlight his ability to integrate scientific research with practical applications.

Contributions and Research Focus

Dr. Zakir-Hassan’s research has primarily centered on groundwater sustainability, irrigation efficiency, climate change impacts, and aquifer recharge mechanisms. He has presented research at prestigious international conferences across China, Australia, Nepal, Iran, India, Indonesia, and the UAE. His papers on groundwater modeling, governance, regulation, and floodwater storage have provided frameworks for sustainable aquifer management in regions facing water scarcity. He has also contributed significantly to capacity building through technical workshops, training sessions, and academic writing development programs.

Impact and Influence

His influence extends beyond research into shaping policies and practices in groundwater management. He has been actively engaged in raising awareness and empowering communities about water conservation and climate resilience. As a registered professional engineer and life member of various engineering and water management associations worldwide, Dr. Zakir-Hassan has contributed to global dialogues on water sustainability. His leadership roles at Charles Sturt University, such as Vice President of the Postgraduate Student Association and committee memberships, further showcase his influence in academic governance and student development.

Academic Citations

Dr. Zakir-Hassan’s work has been recognized in international academic circles through publications, conference proceedings, and institutional repositories. His participation in high-impact conferences and contributions to journals underscore his academic presence. His membership in global professional networks like IAH, IWRA, ICID, and NGWA ensures that his research continues to reach wider academic and policy-making audiences.

Legacy and Future Contributions

The legacy of Dr. Zakir-Hassan lies in his pioneering work on groundwater modeling and sustainable management in the Indus Basin and Punjab region. His academic rigor, combined with professional experience, has laid the foundation for future research on water governance and climate adaptation. Looking ahead, his expertise positions him as a key contributor to global water security challenges, particularly in developing countries facing acute water stress. His ongoing involvement in professional organizations and academic collaborations suggests that his influence will continue to grow, inspiring future generations of hydrologists and engineers.

Conclusion

In conclusion, Dr. Ghulam Zakir-Hassan exemplifies the qualities of a scholar, professional, and leader in the field of water resources and hydrology. His early academic brilliance, long-standing professional dedication, impactful research contributions, and international influence underscore his suitability for recognition such as the Best Researcher Award. With a career spanning over 30 years and research that addresses some of the most pressing challenges of our time, his legacy and future contributions are set to leave a lasting impact on both academia and society.

Notable Publications

“Integrating Groundwater Modelling for Optimized Managed Aquifer Recharge Strategies" 

  • Author: Ghulam Zakir-Hassan; Jehangir F. Punthakey; Catherine Allan; Lee Baumgartner
  • Journal: Water
  • Year: 2025

"Assessing the potential of underground storage of flood water" 

  • Author: Ghulam Zakir-Hassan; Jehangir F Punthakey; Ghulam Shabir; Faiz Raza Hassan‏
  • Journal: Journal of Groundwater Science and Engineering
  • Year: 2024

"Modelling climate change impacts and adaptation strategies for managing groundwater resources in Southern Punjab" 

  • Author: Abdul Raheem; Muhammad Saifullah; Jehangir F. Punthakey; Ghulam Zakir-Hassan; Irfan Ahmad Baig
  • Journal: Gulbali Institute Report
  • Year: 2024

"Groundwater governance in Pakistan" 

  • Author: Ghulam Zakir-Hassan; Catherine Allan; Jehangir F. Punthakey; Lee Baumgartner; Mahmood Ahmad
  • Journal: Water policy in Pakistan
  • Year: 2023

"Hill Torrents’ management options in Koh-e-Suleman Range Pakistan - community perspective" 

  • Author: Ghulam Zakir-Hassan; Muhammad Shahzad Abdul Rahim; Adnan Hassan; Jamshaid Farid; Matloob Ahmad
  • Journal: Global Journal of Research in Agriculture & Life Sciences
  • Year: 2023

 

Jingyi Gao | Probabilistic Modeling | Best Researcher Award

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Ms. Jingyi Gao | Probabilistic Modeling | Best Researcher Award

University of Virginia | United States

Author Profile

Google Scholar

Academic and Research Profile of Jingyi Gao

Early Academic Pursuits

Jingyi Gao’s academic foundation is marked by a strong interdisciplinary focus, combining mathematics, computer science, and economics during her undergraduate studies at the University of California, San Diego. She pursued dual degrees-a Bachelor of Science in Mathematics-Computer Science and a Bachelor of Arts in Economics-demonstrating both technical and analytical versatility. Building on this, she earned a Master of Science in Applied Mathematics and Statistics from Johns Hopkins University, where she graduated with a GPA of 3.9/4.0. Currently, she is pursuing a Ph.D. in Systems and Information Engineering at the University of Virginia, with a research concentration in time series prediction, Bayesian probabilistic modeling, and federated learning.

Professional Endeavors

Gao has gained extensive teaching and mentoring experience across prestigious institutions. At the University of Virginia, she has served as a Teaching Assistant for multiple graduate and undergraduate courses, guiding more than a thousand students in areas such as data mining, AI, and big data systems. She has also contributed as a peer mentor for the Data Justice Academy, fostering diversity in data science research. Beyond academia, her professional journey includes research internships at the University of Pittsburgh and Tencent, where she applied machine learning techniques to healthcare stress detection and cloud infrastructure optimization. Her roles highlight both academic excellence and industry-relevant impact.

Contributions and Research Focus

Jingyi Gao’s research contributions lie at the intersection of machine learning, statistical modeling, and human-centered applications. She has worked on federated learning frameworks to enhance privacy in distributed systems, developed adaptive time series models for real-time prediction, and applied deep latent variable models in ergonomics and healthcare monitoring. Her publications span high-impact venues, including work accepted in Pattern Recognition and presented at IEEE conferences. Her efforts in behavioral modeling, stress detection, and multimodal sensor data analysis underscore her commitment to advancing computational methods for practical societal challenges.

Impact and Influence

Through her teaching, mentorship, and publications, Gao has influenced both academic communities and applied research domains. By mentoring underrepresented groups in data science, she has contributed to inclusive research culture. Her innovative approaches in federated learning and human behavior modeling provide scalable solutions for industries like healthcare, occupational health, and cloud services. Her conference presentations at IEEE CASE, ICMLA, and INFORMS further reflect her growing influence in the global research community.

Academic Citations

Although early in her career, Gao’s scholarly work has begun to attract attention, with multiple preprints available on arXiv and accepted publications in well-recognized journals and conferences. As her ongoing Ph.D. research matures and more of her contributions are published, her academic citation count and impact are expected to expand significantly.

Legacy and Future Contributions

Jingyi Gao’s trajectory suggests a promising future as a leader in data science and applied machine learning. With a foundation that bridges theory and practice, she is well-positioned to make lasting contributions in federated learning, real-time predictive modeling, and socially responsible AI applications. Her future work is likely to leave a meaningful legacy in shaping privacy-preserving, adaptive, and human-centered machine learning systems that address pressing global challenges.

Conclusion

In summary, Jingyi Gao exemplifies the qualities of a rising researcher who blends academic rigor, teaching excellence, and innovative research applications. Her interdisciplinary training, impactful publications, and commitment to mentorship signal a strong potential to become a thought leader in her field. With her ongoing contributions and dedication, Gao is poised to significantly advance both the academic and practical dimensions of data-driven science.

Notable Publications

“Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information" 

  • Author: J Gao, S Lim, S Chung
  • Journal: arXiv preprint arXiv
  • Year: 2025

"Federated automatic latent variable selection in multi-output gaussian processes" 

  • Author: J Gao, S Chung‏
  • Journal: arXiv preprint arXiv
  • Year: 2025

"Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics" 

  • Author: J Gao, R Yan, A Doryab
  • Journal: International Conference on Machine Learning and Applications
  • Year: 2023

"Machine learning to summarize and provide context for sleep and eating schedules" 

  • Author: T Chen, Y Chen, J Gao, P Gao, JH Moon, J Ren, R Zhu, S Song, JM Clark
  • Journal: bioRxiv
  • Year: 2021

 

Winston Dunn | Artificial Intelligence |  Best Researcher Award

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Dr. Winston Dunn | Artificial Intelligence |  Best Researcher Award

The University Of Kansas Medical Center | United States

Author Profiles

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Orcid ID

Early Academic Pursuits

Dr. Winston Dunn began his academic journey with a Bachelor of Science in Biochemistry from the University of British Columbia. He pursued his medical degree at Ross University School of Medicine and later completed advanced training at The Chicago Medical School. His strong foundation in internal medicine was built through residency at the Mayo Graduate School of Medicine, followed by specialized fellowships in Gastroenterology at the University of California, San Diego, and in Transplant Hepatology at Mayo Clinic. Parallel to his clinical training, he enriched his expertise with a Master’s in Public Health, highlighting his commitment to blending clinical practice with population health perspectives.

Professional Endeavors

Dr. Dunn’s academic career began as an Instructor in Medicine at the Mayo Clinic College of Medicine (2009–2010). He then joined the University of Kansas Medical Center as an Assistant Professor (2010–2016), rising to Associate Professor (2016–2025), and currently serves as Professor in the Division of Gastroenterology. His steady progression reflects consistent excellence in teaching, research, and clinical leadership. Additionally, his professional licensure across multiple states and board certifications in Internal Medicine, Gastroenterology, and Transplant Hepatology highlight his depth of expertise.

Contributions and Research Focus

Dr. Dunn’s research is primarily centered on liver diseases, with a special focus on nonalcoholic steatohepatitis (NASH), metabolic dysfunction-associated steatohepatitis (MASH), cirrhosis, and outcomes after hepatitis C treatment. He has been the principal investigator in numerous Phase II and Phase III clinical trials, collaborating with leading pharmaceutical companies and institutions. His studies explore genetic predictors of liver disease outcomes, non-invasive biomarkers, and novel therapeutics aimed at reversing fibrosis and improving survival. He also contributed to improving models of care, diagnosis, and patient referral systems in hepatology.

Impact and Influence

Dr. Dunn’s work has had significant clinical implications, advancing knowledge in liver transplantation, NASH therapeutics, and hepatology practice. His role in high-impact trials, including those supported by Gilead Sciences, Novo Nordisk, and Madrigal Pharmaceuticals, positions him as a leader in shaping the future of liver disease management. His active service on the AASLD Alcoholic Liver Disease Steering Committee and Education Subcommittee further demonstrates his influence on clinical guidelines, education, and policy within the hepatology community.

Academic Citations and Recognition

Dr. Dunn’s contributions have been recognized through multiple awards, including the Sheila Sherlock Clinical and Translational Research Award (2012), the AASLD Advanced Transplant Hepatology Fellowship Award (2009), and induction as a Fellow of the American Association for the Study of Liver Diseases (FAASLD) in 2023. His research has generated numerous publications and citations, reflecting his impact on both scientific literature and clinical practice.

Legacy and Future Contributions

With an established record of academic excellence, groundbreaking research, and mentorship, Dr. Dunn’s legacy lies in advancing hepatology through both innovative research and translational impact. His ongoing leadership in pivotal trials will likely redefine therapeutic standards for NASH and related liver conditions. As a Professor at the University of Kansas Medical Center, he is poised to continue mentoring future hepatologists while contributing to international collaborations that influence the global fight against liver disease.

Conclusion

In summary, Dr. Winston Dunn exemplifies the qualities of a distinguished academic physician-scientist. His rigorous training, progressive academic career, and pioneering research in hepatology underscore his suitability for honors such as the Best Researcher Award. With a career dedicated to bridging clinical care, research innovation, and education, Dr. Dunn stands as a role model whose work continues to shape the future of liver disease management and patient outcomes worldwide.

Notable Publications

“Artificial Intelligence for Predictive Diagnostics, Prognosis, and Decision Support in MASLD, Hepatocellular Carcinoma, and Digital Pathology" 

  • Author: Nicholas Dunn; Nipun Verma; Winston Dunn
  • Journal: Journal of Clinical and Experimental Hepatology
  • Year: 2025

"Prevalence and Predictors of Suspected Metabolic Dysfunction‐Associated Steatotic Liver Disease in Adolescents in the United States" 

  • Author: Sheila L. Noon; Lauren F. Chun; Tin Bo Nicholas Lam; Nhat Quang N. Thai; Winston Dunn; Jeffrey B. Schwimmer‏
  • Journal: Alimentary Pharmacology & Therapeutics
  • Year: 2025

"Comparison Between Dynamic Models for Predicting Response to Corticosteroids in Alcohol‐Associated Hepatitis: A Global Cohort Study" 

  • Author: Francisco Idalsoaga; Luis Antonio Díaz; Leonardo Guizzetti; Winston Dunn; Heer Mehta; Jorge Arnold; Gustavo Ayares; Rokhsana Mortuza; Gurpreet Mahli; Alvi H. Islam et al.
  • Journal: Alimentary Pharmacology & Therapeutics
  • Year: 2025

"Moderate alcohol-associated hepatitis: A real-world multicenter study" 

  • Author: Francisco Idalsoaga; Luis Antonio Díaz; Winston Dunn; Heer Mehta; Karen Muñoz; Vicente Caldentey; Jorge Arnold; Gustavo Ayares; Rokhsana Mortuza; Shiv K. Sarin et al.
  • Journal: Hepatology Communications
  • Year: 2025

"An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study" 

  • Author: Winston Dunn; Yanming Li; Ashwani K. Singal; Douglas A. Simonetto; Luis A. Díaz; Francisco Idalsoaga; Gustavo Ayares; Jorge Arnold; María Ayala-Valverde; Diego Perez et al.
  • Journal: Hepatology
  • Year: 2024

Yuqi Fang | Generalization | Best Researcher Award

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Dr. Yuqi Fang | Generalization | Best Researcher Award

Nanjing University | China

Author Profiles

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Orcid ID

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Academic Profile of Dr. Yuqi Fang

Early Academic Pursuits

Dr. Yuqi Fang’s academic journey reflects both brilliance and dedication. He earned his B.Sc. in Electrical Engineering from Northeastern University, graduating with an exceptional GPA of 92.4/100, ranking first among 93 peers. His undergraduate thesis focused on EEG-EMG synchronization analysis using Granger causality, laying a strong foundation in biomedical signal processing. He later pursued his Ph.D. in Electronic Engineering at The Chinese University of Hong Kong, where his thesis, “Deep Collaborative Learning for Semantic Segmentation in Medical Images Diagnosis,” showcased his expertise in deep learning, computer-aided medical diagnosis, and medical image analysis.

Professional Endeavors

Following his doctoral studies, Dr. Fang advanced his career through prestigious roles. He served as a Postdoctoral Researcher at The Chinese University of Hong Kong and later at The University of North Carolina at Chapel Hill under renowned supervisors Prof. Kai-yu Tong and Prof. Mingxia Liu. Additionally, he gained valuable industry exposure during his internship at Tencent AI Lab, supervised by Dr. Jianhua Yao. Currently, he holds the position of Tenure-Track Assistant Professor at the School of Intelligence Science and Technology, Nanjing University, where he continues to bridge artificial intelligence with healthcare applications.

Contributions and Research Focus

Dr. Fang’s research lies at the intersection of artificial intelligence, medical image analysis, and human-machine interaction. His major contributions can be categorized into two domains:

  1. Medical Image Semantic Segmentation – He has pioneered techniques for polyp detection, hepatocellular carcinoma segmentation, pathological image annotation, and diabetic retinopathy lesion analysis. His models, often based on collaborative and multi-view learning, significantly improved clinical diagnosis accuracy and have been published in leading venues such as MICCAI and Medical Image Analysis.

  2. Multi-Site Data Adaptation for Brain Disease Diagnosis – His groundbreaking studies on fMRI data adaptation, multi-target heterogeneity, and source-free domain adaptation tackle privacy challenges while enhancing diagnostic robustness for diseases like depression and cognitive impairment. His work has appeared in Human Brain Mapping and other high-impact journals.

Additionally, Dr. Fang has engaged in neuroengineering and rehabilitation projects, including transcranial stimulation protocols and exoskeleton-assisted gait training, demonstrating the translational value of his research.

Impact and Influence

Dr. Fang’s research has had a profound academic and clinical impact. His MICCAI paper on polyp segmentation alone has garnered nearly 300 citations, reflecting its global recognition and practical utility. Beyond technical contributions, his emphasis on clinically interpretable AI models has supported biomarker discovery, thereby strengthening the bridge between computational modeling and real-world medical applications.

Academic Citations and Recognition

With over 20 first or co-first author papers in premier journals and conferences, Dr. Fang has established a strong scholarly presence. His works have been cited widely in fields ranging from medical imaging to AI-based diagnostics. Honors such as the Outstanding Tutor Award from CUHK, the First Prize at the International Brain-Computer Interface Hackathon, and multiple scholarships highlight both his academic excellence and mentorship skills.

Teaching and Community Engagement

Beyond research, Dr. Fang has contributed to academia through teaching courses in Biomedical Imaging, Neuroengineering, and Medical Instrument Design. He actively serves as a reviewer for top-tier journals including TPAMI, TMI, MedIA, and TNNLS, further influencing the scholarly community by shaping cutting-edge research.

Legacy and Future Contributions

Dr. Fang’s legacy lies in his innovative integration of AI with clinical medicine, addressing both fundamental challenges and real-world healthcare problems. His ongoing projects in stroke rehabilitation, multimodal gait analysis, and neurostimulation position him to make breakthroughs in personalized healthcare solutions. Looking ahead, his vision includes advancing intelligent medical systems that not only improve diagnosis and prognosis but also actively support clinical decision-making and patient recovery.

Conclusion

Dr. Yuqi Fang’s career exemplifies the power of interdisciplinary innovation, where artificial intelligence converges with medicine to transform healthcare. From his early academic brilliance to his pioneering research contributions, he has consistently pushed the boundaries of medical imaging and brain disease diagnosis. With an impressive record of publications, citations, and recognitions, coupled with a clear vision for future advancements, Dr. Fang stands as a leading figure in the next generation of AI-driven healthcare research.

Notable Publications

“Full Length Article Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline" 

  • Author: M Yu, Y Fang, Y Liu, AC Bozoki, S Xiao, L Yue, M Liu
  • Journal: Neural Networks
  • Year: 2025

"Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders" 

  • Author: Q Wang, W Wang, Y Fang, HJ Li, A Bozoki, M Liu‏
  • Journal: International Symposium on Biomedical Imaging
  • Year: 2025

"Attention-enhanced FUSION OF STRUCTURAL AND FUnctional MRI for analyzing HIV-associated asymptomatic neurocognitive impairment" 

  • Author: Y Fang, W Wang, Q Wang, HJ Li, M Liu
  • Journal: International Conference on Medical Image Computing
  • Year: 2024

"ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI" 

  • Author: Y Fang, J Zhang, L Wang, Q Wang, M Liu
  • Journal: NeuroImage
  • Year: 2024

"Leveraging brain modularity prior for interpretable representation learning of fMRI" 

  • Author: Q Wang, W Wang, Y Fang, PT Yap, H Zhu, HJ Li, L Qiao, M Liu
  • Journal: IEEE Transactions on Biomedical Engineering
  • Year: 2024

 

 

Linyun Liu | Coding Technology | Best Researcher Award

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Dr. Linyun Liu | Coding Technology | Best Researcher Award

Huazhong University of Science and Technology | China

Author Profile

Orcid ID

Early Academic Pursuits

Dr. Linyun Liu began his academic journey with a strong foundation in electronic information and communications, pursuing his doctoral studies at Huazhong University of Science and Technology (HUST). His early research interest gravitated toward multimedia communication and video coding, areas where he demonstrated both technical aptitude and innovative thinking. This strong academic base laid the groundwork for his later advancements in panoramic video coding and artificial intelligence applications.

Professional Endeavors

As a PhD candidate at HUST, Dr. Liu took on leadership responsibilities, heading the Video Coding Group within the Digital Media and Intelligent Network Lab. Beyond his doctoral work, he has actively contributed to large-scale national and international research projects, including the prestigious National High Technology Research and Development Program (863 Program) and initiatives sponsored by the National Natural Science Foundation of China. His professional role reflects a rare blend of academic rigor, leadership, and practical project management experience.

Contributions and Research Focus

Dr. Liu’s research primarily focuses on VR panoramic video coding technology, a field crucial for immersive multimedia experiences. His notable contributions include the development of the PD-RC algorithm for panoramic video coding, the introduction of low-complexity filtering guided by R-D performance to reduce noise, and a CTU-level rate control strategy driven by perceptual features to optimize bitrate. Furthermore, he introduced a new code control evaluation metric that exceeded conventional limits, marking a significant step forward in video coding efficiency and performance.

Impact and Influence

Dr. Liu’s impact is multifaceted. Academically, he has published 11 research papers with an additional manuscript under review, while simultaneously holding over 40 core invention patents in artificial intelligence and multimedia communication. His innovations not only advance theoretical understanding but also enable practical applications that strengthen the capabilities of next-generation multimedia technologies. By bridging cutting-edge research with real-world solutions, Dr. Liu has influenced both scholarly discourse and industry practices.

Academic Citations

With more than 300 academic publications in high-impact journals and conferences, Dr. Liu has established himself as a highly cited and respected figure in his field. His work has been recognized and referenced widely in the domains of multimedia communication, video coding, and artificial intelligence. This citation record reflects both the originality and the enduring value of his scholarly contributions.

Legacy and Future Contributions

Dr. Liu’s legacy lies in his pioneering contributions to panoramic video coding and his ability to translate research into patentable technologies. Looking forward, his expertise positions him to continue shaping the landscape of immersive media, artificial intelligence, and multimedia communication. His future endeavors are likely to focus on integrating advanced coding techniques with emerging applications in social, biological, and technological networks, thereby broadening the relevance of his research across multiple disciplines.

Conclusion

In summary, Dr. Linyun Liu exemplifies the qualities of an outstanding researcher through his academic excellence, innovative contributions, and leadership in advanced video coding technologies. His work demonstrates not only technical sophistication but also a vision for impactful, real-world applications. With a solid record of publications, patents, and project leadership, Dr. Liu’s trajectory suggests significant future contributions, making him a highly suitable candidate for recognition through the Best Researcher Award.

Notable Publications

“PD-RC: Perception-driven rate control for panoramic video coding based on energy distribution optimization" 

  • Author: Linyun Liu; Tiansong Li; Huijuan Zhao; Shuangjiang He; Jiabao Zhu; Jinhao Kuang; Li Yu
  • Journal: Displays
  • Year: 2026

"KHFA: Knowledge-Driven Hierarchical Feature Alignment Framework for Subject-Invariant Facial Action Unit Detection" 

  • Author: Huijuan Zhao; Shuangjiang He; Congju Du; Linyun Liu; Li Yu‏
  • Journal: IEEE Transactions on Instrumentation and Measurement
  • Year: 2025

"Model design and parameter optimization of CNN for side-channel cryptanalysis" 

  • Author: Linyun Liu
  • Journal: PeerJ Computer Science
  • Year: 2022

 

 

Yinyan Liu | Network Visualization | Best Researcher Award

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Dr. Yinyan Liu | Network Visualization | Best Researcher Award

The University of Sydney | Australia

Author Profiles

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Orcid ID

Google Scholar

Early Academic Pursuits

Dr. Yinyan Liu demonstrated exceptional academic aptitude from the beginning of her educational journey. She earned a Bachelor of Engineering in Measuring & Controlling Technology and Instrument from North China Electric Power University, receiving multiple scholarships for outstanding performance. She continued her studies with a Master’s in Control Engineering at Tsinghua University, where she ranked among the top 2% of students and was awarded the National Scholarship by China’s Ministry of Education. Dr. Liu further advanced her expertise by completing a Ph.D. in Electrical & Information Engineering at the University of Sydney, supported by the University of Sydney International Scholarship and a Top-up Scholarship, reflecting her strong dedication to research and innovation in engineering.

Professional Endeavors

Following her doctoral studies, Dr. Liu embarked on a distinguished career bridging academia and industry. She has served as a Lecturer at the University of Sydney, overseeing teaching, course coordination, and student supervision, while conducting cutting-edge research on energy transition and sustainability. Her prior roles include a Postdoctoral Research Associate at UNSW, algorithmic engineering in industry settings, and control engineering for power plants, reflecting a rare combination of academic rigor and practical problem-solving expertise. She has also contributed as a course developer and consultant for renewable energy companies, demonstrating her ability to translate research into actionable solutions.

Contributions and Research Focus

Dr. Liu’s research primarily focuses on integrated energy systems, distributed renewable energy, and data-driven technologies for sustainability. Her work spans the development of 100% renewable energy systems, optimization algorithms for energy management, fault detection in photovoltaic systems, and innovative business models for shared energy storage. She has also advanced methods in home energy management systems, peak price forecasting, and non-intrusive load monitoring using statistical, machine learning, and deep learning techniques. Her research blends mathematical modeling, algorithmic optimization, and empirical analysis, positioning her at the forefront of sustainable energy innovation.

Impact and Influence

Dr. Liu’s research has had significant influence both academically and industrially. She has successfully collaborated with industrial partners and universities, translating complex energy challenges into practical solutions that enhance decarbonization and energy efficiency. By co-supervising students, securing grants, and contributing to interdisciplinary courses, she has fostered knowledge transfer and skill development for the next generation of energy researchers. Her work on renewable energy integration and smart energy management has potential to inform policy, improve energy infrastructure, and support sustainable societal development globally.

Academic Citations

While specific citation metrics are not provided in the available data, Dr. Liu’s consistent contributions to high-impact projects and publications in renewable energy, energy optimization, and smart grid technologies reflect a strong academic footprint. Her research in energy system modeling, fault diagnosis, and non-intrusive load monitoring positions her as a recognized contributor in both applied and theoretical domains of electrical and renewable energy engineering.

Legacy and Future Contributions

Dr. Liu has established a legacy of combining rigorous academic research with practical, real-world applications in sustainable energy. Her future work promises to further advance renewable energy integration, enhance intelligent energy management systems, and promote decentralized, data-driven solutions to global energy challenges. Her ongoing mentorship of students and collaboration with industry partners ensures that her impact will continue to grow, inspiring future researchers and practitioners in the field.

Conclusion

Dr. Yinyan Liu exemplifies a researcher whose academic excellence, professional expertise, and innovative contributions converge to advance sustainable energy systems. Her blend of theoretical rigor, practical problem-solving, and leadership in collaborative research positions her as a leading figure in her field, with a legacy that promises enduring influence on both academia and industry.

Notable Publications

“A methodological review of cost-effective data-driven fault detection and diagnosis in distributed photovoltaic systems" 

  • Author: Yinyan Liu; Earl Duran; Anna Bruce; Baran Yildiz; Bernardo Mendonca Severiano; Ibrahim Anwar Ibrahim; Jonathan Rispler; Chris Martell; Fiacre Rougieux
  • Journal: Applied Energy
  • Year: 2025

"Economic feasibility and backup capabilities of solar-battery systems for residential customers" 

  • Author: Yinyan Liu; Baran Yildiz‏
  • Journal: Energy
  • Year: 2025

"Techno-economic optimization of electric water heater and battery energy storage for residential dwellings with rooftop PV systems" 

  • Author: Yinyan Liu; Baran Yildiz
  • Journal: Energy and Buildings
  • Year: 2025

"A Flowrate Estimation Method for Gas–Water Two-Phase Flow Based on Multimodal Sensors and Hybrid LSTM-CNN Model" 

  • Author: Yuxiao Jiang; Yinyan Liu; Baijin Mao; Xing Lu; Yi Li; Lihui Peng‏
  • Journal: IEEE Transactions on Instrumentation and Measurement‏
  • Year: 2024

"A Flow Rate Estimation Method for Gas–Liquid Two-Phase Flow Based on Transformer Neural Network" 

  • Author: Yuxiao Jiang; Hao Wang; Yinyan Liu; Lihui Peng; Yanan Zhang; Bing Chen; Yi Li
  • Journal: IEEE Sensors Journal
  • Year: 2024

 

Vijaykumar Nimbarte | Medicinal Chemistry | Best Researcher Award

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Dr. Vijaykumar Nimbarte | Medicinal Chemistry | Best Researcher Award

BITS Pilani Hyderabad Campus | India

Author Profiles

Scopus

Google Scholar

Early Academic Pursuits

Dr. Vijaykumar Nimbarte began his academic journey with a Bachelor’s degree in Pharmaceutical Sciences from Nagpur University, India, where he acquired foundational knowledge in pharmaceutics, pharmacology, pharmaceutical chemistry, and pharmacognosy. He further advanced his expertise with an M.S. in Medicinal and Pharmaceutical Chemistry from NIPER Hyderabad, India, focusing on the design, synthesis, and biological evaluation of novel soluble epoxide hydrolase inhibitors with anti-inflammatory potential. During this period, he received the NIPER research assistantship and GPAT fellowship and participated in multiple drug discovery workshops, laying a strong foundation in medicinal chemistry. His Ph.D. at Goethe University, Germany, under the Marie Curie Early Stage Researcher Fellowship, focused on the design, synthesis, and evaluation of novel c-MYC G-Quadruplex stabilizing agents, earning him the highest distinction (magna cum laude).

Professional Endeavors

Following his Ph.D., Dr. Nimbarte expanded his research expertise through several key roles in international academic and industrial settings. He worked as a Project Associate in France at the University of Le Havre, where he developed azaindole-based compounds for anticancer activity. At CSIR-IICT Hyderabad, he contributed to synthesizing PBD-based intercalating agents and novel tubulin polymerase inhibitors. Most recently, he served as a Post-Doctoral Scientist at the Max Planck Institute for Medical Research, Germany, where he focused on structure-based drug design for peripheral neuropathy, collaborating with international research centers to optimize CNS-restricted drug candidates. Since January 2024, he has been an Assistant Professor of Medicinal Chemistry at BITS Pilani, Hyderabad, India.

Contributions and Research Focus

Dr. Nimbarte’s research primarily revolves around medicinal chemistry, structure-based drug design, chemical biology, and the development of biologically active small molecules. His work spans multistep organic synthesis, isotope labeling, and characterization using NMR, Mass, IR, and UV techniques. He has actively contributed to designing compounds that stabilize G-Quadruplex DNA structures, targeting cancer, and developing peripheral-restricted CNS drug candidates, addressing blood-brain barrier permeability issues. He has also applied advanced computational methods, including Schrodinger and ChemAxon software, to improve the efficiency and specificity of drug design.

Impact and Influence

With over 10 years of academic-industrial research experience, Dr. Nimbarte has significantly influenced the field of medicinal chemistry. His projects have successfully transitioned from conceptual design to lead candidate development, demonstrating his ability to combine theoretical design with practical synthesis and biological evaluation. He has collaborated internationally, mentored graduate students, led small group teaching sessions, and contributed to scientific knowledge through presentations and publications.

Academic Citations and Publications

Dr. Nimbarte has published more than 17 research papers in reputable international medicinal chemistry journals, including ChemMedChem. He has served as a potential reviewer for multiple journals such as Medicinal Chemistry Research, Bioorganic and Medicinal Chemistry Letters, Bioorganic Chemistry, and Current Medicinal Chemistry, reflecting his recognition as an expert in his field.

Legacy and Future Contributions

Dr. Nimbarte’s legacy lies in bridging the gap between academic research and practical drug discovery through innovative medicinal chemistry approaches. His work on G-Quadruplex stabilizing agents and peripherally restricted CNS drugs has paved the way for safer, more effective therapeutic candidates. Looking forward, his focus will likely continue on designing targeted small molecules with high therapeutic potential while mentoring the next generation of scientists and expanding interdisciplinary collaborations.

Conclusion

Dr. Vijaykumar Nimbarte exemplifies the integration of deep scientific knowledge, practical drug discovery experience, and academic mentorship. His early academic achievements, international research exposure, and impactful publications reflect a career dedicated to advancing medicinal chemistry. Through his innovative approaches, collaborative ethos, and commitment to teaching, he continues to make significant contributions to both the scientific community and future generations of researchers.

Notable Publications

“Understanding the Impact of Calcineurin Inhibitors on T Cell Regulation: Mechanisms and Clinical Implications" 

  • Author: VD Nimbarte, SS Sonak, S Ishwarkar
  • Journal: Critical Reviews
  • Year: 2025

"Modulation of T Cell Regulation by Interleukin-2 Agonists: Mechanisms and Clinical Implications" 

  • Author: SS Sonak, S Ishwarkar, C Nimbarte, VD Nimbarte‏
  • Journal: Critical Reviews
  • Year: 2025

"Synthesis and in Vitro Evaluation of Novel 5‐Nitroindole Derivatives as c‐Myc G‐Quadruplex Binders with Anticancer Activity" 

  • Author: VD Nimbarte, J Wirmer‐Bartoschek, SL Gande, I Alshamleh, M Seibert
  • Journal: ChemMedChem
  • Year: 2021

"Synthesis and Biological Screening of New Lawson Derivatives as Selective Substrate‐Based Inhibitors of Cytochrome bo3 Ubiquinol Oxidase from Escherichia coli" 

  • Author: I Elamri, M Radloff, KF Hohmann, VD Nimbarte, HR Nasiri, M Bolte‏
  • Journal: ChemMedChem‏
  • Year: 2020

"Anti-tyrosinase, anti-cholinesterase and cytotoxic activities of extracts and phytochemicals from the Tunisian Citharexylum spinosum L.: Molecular docking and SAR analysis" 

  • Author: I Saidi, VD Nimbarte, H Schwalbe, P Waffo-Teguo, AH Harrath, L Mansour
  • Journal: Bioorganic Chemistry
  • Year: 2020

Asis Sethi | Material Science | Best Researcher Award 

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Mr. Asis Sethi | Material Science | Best Researcher Award 

CSIR-Central Electrochemical Research Institute | India

Author Profiles

Scopus

Orcid ID

Google Scholar

Early Academic Pursuits

Mr. Asis Sethi began his academic journey with a Bachelor of Science degree in Chemistry from Ravenshaw University, Cuttack (2013–2016), where he developed a strong foundation in chemical sciences. His quest for deeper knowledge led him to pursue a Master of Science in Chemistry at Pondicherry University (2016–2018), one of India’s premier institutions. Building upon his academic excellence, he embarked on a Doctor of Philosophy (Ph.D.) in Chemical Science at CSIR–Central Electrochemical Research Institute (CECRI), Karaikudi, in 2019, where his research is centered on advanced electrochemical energy storage technologies.

Professional Endeavors

Currently serving as an Assistant Professor in the Department of Chemistry at Bhadrak Autonomous College under the Department of Higher Education, Odisha (since 2024), Mr. Sethi has committed himself to both teaching and research. His dual role as an educator and researcher enables him to inspire young learners while advancing scientific frontiers in electrochemistry and energy storage. His early recognition as a CSIR-NET/JRF awardee in June 2018 further highlights his academic potential and research capability.

Contributions and Research Focus

Mr. Sethi’s research contributions lie at the intersection of material science, electrochemistry, and sustainable energy. His core research focuses on the design and development of next-generation aqueous batteries, dual ion batteries, zinc-ion batteries, and redox flow systems. His expertise also extends to the synthesis of transition-metal–based materials, development of electrolytes including water-in-salt systems, and advanced cell configurations such as Swagelok, flooded, pouch, and coin cells. His work integrates experimental design with computational insights to address real-world challenges in energy storage and conversion.

Impact and Influence

Through his active participation in national and international conferences, Mr. Sethi has disseminated his findings to a wider scientific audience. He has presented oral talks and posters at IIT Delhi, SRM Institute of Science and Technology, and CSIR-CECRI, as well as representing CSIR at the India International Science Festival (2022). His research has not only enriched the academic community but also contributed to the development of practical solutions in clean energy technologies. His publication record in reputed international journals such as Chemical Communications, Journal of Materials Chemistry A, ChemPhysChem, Batteries & Supercaps, and International Journal of Hydrogen Energy reflects the depth and significance of his scholarly output.

Academic Citations

Mr. Sethi’s research publications are already receiving attention in the scholarly community, evident from his articles featured in high-impact journals, including a cover feature in ChemPhysChem (2023). These citations demonstrate the academic visibility and influence of his work in advancing electrolyte design and energy storage mechanisms. His collaborations with national and international researchers further broaden the scope and recognition of his contributions.

Legacy and Future Contributions

As a young researcher and educator, Mr. Sethi stands at the forefront of sustainable energy research. His pioneering studies on electrolyte modifications, ion storage mechanisms, and electrode material design hold promise for the development of safer, cost-effective, and eco-friendly batteries. Going forward, he is poised to mentor future researchers, expand his publication portfolio, and contribute significantly to India’s scientific progress in renewable energy and electrochemical storage technologies.

Conclusion

In summary, Mr. Asis Sethi exemplifies the qualities of a dedicated academic, an innovative researcher, and an inspiring mentor. His strong educational foundation, impactful research contributions, and growing academic recognition position him as a valuable asset to the scientific and educational community. With his ongoing commitment to advancing electrochemical energy storage, he is well-suited for recognition such as the Best Researcher Award, underscoring his potential to shape the future of sustainable energy solutions.

Notable Publications

“Strategies for electrolyte modification in aqueous zinc-ion batteries: an antisolvent approach" 

  • Author: Asis Sethi; Chaithra Rajeev; Anil Kumar U.; Jefin F.; Santoshkumar D. Bhat; Vishal M. Dhavale
  • Journal: Chemical Communications
  • Year: 2025

"Tailored concave platinum nanocrystals for the selective electro-oxidation of formic acid" 

  • Author: Chaithra Rajeev; Anil Kumar U.; Asis Sethi; L. Muhammed Shahid; Vishal M. Dhavale‏
  • Journal: New Journal of Chemistry
  • Year: 2025

"Effect of Anions in Zn‐Based Aqueous Electrolyte on Electrochemical Performance of Prussian Blue Analogue" 

  • Author: Asis Sethi; Chaithra Rajeev; Anil Kumar U.; Parul Sharma; Anurag Prakash Sunda; Vishal M. Dhavale
  • Journal: Batteries & Supercaps
  • Year: 2025

"Assessing the impact of an antisolvent-regulated ZnCl2 water-in-salt electrolyte on solvation structure: a multiscale computational validation for aqueous Zn-ion battery application" 

  • Author: Asis Sethi; Chaithra Rajeev; Anil Kumar U.; Parul Sharma; Anurag Prakash Sunda; Vishal M. Dhavale‏
  • Journal: Journal of Materials Chemistry A‏
  • Year: 2024

"Special tailoring of a copper–pyromellitic acid complex with sulfonated poly(ether ether ketone) to form a composite membrane for polymer electrolyte fuel cells" 

  • Author: Anil Kumar U.; Rajendran Sakthivel; Asis Sethi; Baskaran Mohan Dass; Santoshkumar D. Bhat; Vishal M. Dhavale
  • Journal: New Journal of Chemistry
  • Year: 2023

 

Jamie Rice | AI in Medicine | Best Researcher Award

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Dr. Jamie Rice | AI in Medicine | Best Researcher Award

Fiona Stanley Hospital | Australia

Author Profile

Orcid ID

Early Academic Pursuits

Dr. Jamie Rice’s academic journey reflects a strong foundation in both clinical medicine and biomedical sciences. Having completed an intercalated MSc in Biomedical Sciences (Neuroscience) at Trinity College Dublin in 2021 with First-Class Honours, he advanced to earn his Bachelor of Medicine and Bachelor of Surgery in 2023, also with honours. During this period, his excellence was consistently recognized, including First-Class Honours in Integrated Medical and Surgical Science and Practice. His academic diligence was further evident through distinctions in Health Professions Education modules during his postgraduate diploma at the Royal College of Surgeons in Ireland (RCSI), expected in 2025.

Professional Endeavors

Dr. Rice currently serves as a Clinical Tutor and Lecturer in Anaesthesia and Critical Care at RCSI, where he is responsible for teaching final-year medical students through lectures, bedside tutorials, case-based learning, and high-fidelity simulation. His professional career includes clinical rotations in surgery, orthopaedics, nephrology, and acute medicine, which provided him with diverse clinical exposure. Beyond clinical care, he has actively contributed to curriculum design, assessment development, and innovative educational approaches, including the creation of an anaesthesia and critical care podcast.

Contributions and Research Focus

A consistent thread throughout Dr. Rice’s career has been his commitment to advancing medical education and clinical practice through research. His research interests span medical education methodologies, perioperative care, and the integration of technology in clinical teaching. His projects include the evaluation of peer instruction in anaesthesia education, enhancing engagement through Crisis Resource Management principles, and improving perioperative medication compliance through digital solutions. He has also been engaged in quality improvement projects, such as optimizing perioperative fasting practices and perioperative temperature management.

Impact and Influence

Dr. Rice’s influence extends across both academia and clinical education. He has presented at national and international conferences, including the European Society for Emergency Medicine Congress and the International Clinical Skills Conference in Tuscany. His work in simulation-based learning, curriculum development, and research dissemination has shaped medical education practices in anaesthesia and critical care. Moreover, his leadership roles, such as Surgical Intern Representative at Tallaght University Hospital, highlight his ability to support and advocate for colleagues, reinforcing his impact beyond academic outputs.

Academic Citations

Dr. Rice’s academic contributions include co-authorship of peer-reviewed publications such as Prescribers’ knowledge of drug costs: a contemporary Irish study (2021), as well as book chapters in the upcoming Royal College of Surgeons Surgical Handbook for Medical Students. His published essay in the British & Irish Association of Stroke Physicians’ newsletter and his accepted conference abstracts further contribute to his growing body of scholarly work, cited in both clinical and educational literature.

Legacy and Future Contributions

Dr. Rice’s trajectory suggests a dual legacy in both clinical excellence and educational innovation. His early achievements, awards, and international recognition demonstrate a career committed to advancing patient care and fostering the next generation of healthcare professionals. With ongoing research projects targeting simulation engagement, peer instruction, and interdisciplinary teaching, his future contributions are poised to further shape anaesthesia education and critical care practice. His commitment to combining evidence-based medicine with innovative pedagogy sets the foundation for a long-lasting academic and clinical legacy.

Conclusion

Dr. Jamie Rice represents a new generation of clinician-educators who balance clinical practice, teaching, and research with equal dedication. His early academic achievements, professional teaching roles, and research contributions highlight a trajectory toward becoming a leading figure in anaesthesia and critical care education. By integrating innovation with clinical excellence, Dr. Rice continues to impact patient care and medical education, leaving a lasting influence on both current practice and future generations of healthcare professionals.

Notable Publications

“Assessing Artificial Intelligence as a Diagnostic Support Tool for Surgical Admissions in the Emergency Department" 

  • Author: Jamie Rice; Eoin Ó’Briain; Conor J. Kilkenny; Richard E. Hogan; Tom V. McIntyre; Dara Kavanagh; Paul C. Neary; James M. O’Riordan; Shaheel M. Sahebally
  • Journal: Journal of Surgical Education
  • Year: 2025

"‏AB086. SOH24AB_204. Day case discectomies: a feasible option in Ireland?" 

  • Author: Niall Fahey; Jamie Rice; Ryan Roopnarinesingh; Elne Nappe; Clare O’Connor; Martin Murphy; Joseph Fournier‏
  • Journal: Mesentery and Peritoneum
  • Year: 2024

"AB162. SOH24AB_095. Heparin-induced thrombocytopenia complicating orthopaedic surgery: a challenging case in an elderly patient" 

  • Author: Jamie Rice; Diarmuid Molony
  • Journal: Mesentery and Peritoneum
  • Year: 2024

"Healing plants of post famine Ireland" 

  • Author: Eoin O’Bríon; Robbie Kelleher; Jamie Rice; Helen Sheridan‏
  • Journal: Planta Medica‏
  • Year: 2021

"Prescribers’ knowledge of drug costs: a contemporary Irish study" 

  • Author: Cormac Kennedy; Amelia Smith; Eoin O’Brien; Jamie Rice; Michael Barry
  • Journal: Drugs & Therapy Perspectives
  • Year: 2021