Mohsin Hasan | Management science and engineering | Best Researcher Award

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Mr . Mohsin Hasan | Management science and engineering | Best Researcher Award

Student at Nanjing University of Aeronautics and Astronautics , China

Mohsin Hasan is a dedicated and impactful researcher currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics, China. His research focuses on epileptic seizure prediction using advanced machine learning techniques, including LSTM, SHAP, and deep neural networks, addressing a critical healthcare challenge. With publications in top-tier SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, he demonstrates strong academic rigor and innovation. Mohsin possesses expertise in Python programming, big data analysis, and research writing, supported by a multi-disciplinary academic background in sociology. He has also actively contributed to community health initiatives in Pakistan, reflecting a blend of technical and social impact. While improved English proficiency and expanded international collaboration could enhance his profile, his current achievements make him a strong candidate for the Best Researcher Award, showcasing both research excellence and real-world relevance.

Professional Profile

Education🎓

Mohsin Hasan has a diverse and interdisciplinary educational background that bridges social sciences and engineering. He is currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics in China, with a research focus on epileptic seizure prediction using machine learning and deep learning techniques. Prior to his doctoral studies, he completed an M.S. in Rural Sociology from the University of Agriculture Faisalabad and a Master’s degree in Sociology from the University of Sargodha, Pakistan. His academic journey began with a Bachelor of Arts from Government College University Faisalabad, followed by intermediate studies at Government Islamia College Chiniot and matriculation at Government High School Chak No. 152 JB Chiniot. Throughout his education, Mohsin has developed strong skills in Python programming, big data analysis, and research writing, positioning him to apply advanced technological solutions to both social and engineering problems, particularly in healthcare and community development.

Professional Experience📝

Mohsin Hasan has a well-rounded professional background that spans academic research and community development. Currently, he is engaged in cutting-edge research as a PhD scholar, working on epileptic seizure prediction using machine learning, with multiple SCIE-indexed publications to his name. His earlier professional experience includes various social outreach and coordination roles across Pakistan. As a Social Outreach Worker with UNODC, he led awareness campaigns and community mobilization for drug addiction treatment. He also served as Supervisor for the Sehat Sahulat Insaaf Card project with RCDP, managing field staff and overseeing healthcare card distribution. As a Dosti Coordinator with Muslim Hands International, he trained teachers and encouraged school enrollment and student participation in extracurricular activities. Additionally, he worked as an Assistant Constituency Coordinator for the FAFEN Election Project, monitoring electoral processes and data collection. His experience demonstrates a strong blend of technical expertise, leadership, and community-oriented service.

Research Interest🔎

Mohsin Hasan’s research interests lie at the intersection of artificial intelligence, healthcare, and data science, with a strong focus on real-world applications that enhance human well-being. His primary area of interest is the prediction and classification of epileptic seizures using advanced machine learning and deep learning techniques, including Long Short-Term Memory (LSTM), Kolmogorov Arnold Network Theorem, SHAP-driven feature analysis, and attention-based neural networks. He is particularly passionate about leveraging electroencephalography (EEG) data to develop interpretable and accurate models for early seizure detection. His research also extends to reliability engineering, operational research, and the integration of AI in medical diagnostics. With a background in sociology and rural development, Mohsin brings a unique, human-centered approach to technological innovation, aiming to bridge the gap between data-driven solutions and community health challenges. His interdisciplinary perspective fuels his commitment to creating scalable, impactful tools for healthcare and beyond, particularly in under-resourced and developing contexts.

Award and Honor🏆

Mohsin Hasan has earned recognition for his dedication to academic excellence and impactful research, positioning him as a strong candidate for prestigious honors. His most notable achievement is his contribution to high-impact, SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, where his research on epileptic seizure prediction has gained international attention. In addition to academic publications, Mohsin has been involved in global policy discussions and training sessions, including regional dialogues hosted by the Asian Institute of Technology and certification courses by the World Health Organization on emerging health threats and COVID-19 response. His ability to translate complex data science techniques into meaningful healthcare solutions reflects both innovation and social commitment. These accomplishments highlight his exceptional talent, work ethic, and relevance in critical global issues. Such recognition not only underscores his scholarly contributions but also establishes him as a deserving candidate for awards celebrating research excellence and societal impact.

Research Skill🔬

Mohsin Hasan possesses a comprehensive set of research skills that enable him to conduct advanced, data-driven investigations with real-world impact. He is highly proficient in Python programming and well-versed in tools such as Jupyter Notebook, PyCharm, and Google Colab, which he utilizes for building and testing machine learning models. His core expertise lies in deep learning, particularly in applying algorithms like Long Short-Term Memory (LSTM), 1D-ResNet, and attention mechanisms for medical data analysis, especially EEG-based epileptic seizure prediction. Mohsin is skilled in big data analytics, neural network development, and SHAP-based model interpretation, which enhances the transparency and usability of AI models. Additionally, he is experienced in academic research writing, LaTeX formatting, and data visualization using software like Edraw Max and Visio. His ability to integrate technical depth with scientific communication, along with a strong foundation in statistical methods and real-time problem-solving, marks him as a capable and innovative researcher.

Conclusion💡

✅ Yes, Mohsin Hasan is a strong and deserving candidate for the Best Researcher Award.

His profile demonstrates a rare and valuable combination of technical AI research, medical applications, and community-level engagement. His high-quality publications, technical skills, and international academic involvement position him as a rising researcher with significant impact potential.

Publications Top Noted✍

  • Title: Long Short-Term Memory and Kolmogorov Arnold Network Theorem for Epileptic Seizure Prediction

  • Authors: Mohsin Hasan, Xufeng Zhao, Wenjuan Wu, Jiafei Dai, Xudong Gu, Asia Noreen

  • Year: 2025

  • Journal: Engineering Applications of Artificial Intelligence

  • Volume and Issue: Volume 154

  • Pages: Article 110757

  • Publisher: Elsevier

  • Indexing: SCIE

  • Citation Format (APA Style):
    Hasan, M., Zhao, X., Wu, W., Dai, J., Gu, X., & Noreen, A. (2025). Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction. Engineering Applications of Artificial Intelligence, 154, 110757. https://doi.org/10.1016/j.engappai.2025.110757 (DOI placeholder if needed)

 

Nowreen Haq | Endocrinology and Metabolism | Best Researcher Award

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Dr.Nowreen Haq | Endocrinology and Metabolism | Best Researcher Award

Asst Program Director at AAMC Medical Center Internal Medicine Residency program and division of endocrinology, metabolism,United States

Dr. Nowreen Haq, MD, MPH, is a highly accomplished physician-researcher with specialized expertise in endocrinology, metabolism, obesity, and preventive medicine. Her leadership as Principal Investigator at the NIH, particularly in machine learning-based clinical research, reflects a deep commitment to advancing evidence-based medicine. Dr. Haq has played key roles in academic institutions such as Johns Hopkins, NYU, and the University of Maryland, where she has influenced clinical education and residency program development. Her contributions to national committees and protocol development highlight her impact on healthcare policy and clinical standards. She has been recognized with multiple grants for quality improvement and patient safety initiatives, demonstrating her ability to translate research into meaningful outcomes. While greater visibility into her publication record could further bolster her profile, Dr. Haq’s multidisciplinary approach, clinical innovation, and dedication to improving patient care make her a strong and deserving candidate for the Best Researcher Award.

Professional Profile 

Education🎓

Dr. Nowreen Haq has an extensive and distinguished educational background that spans international and U.S. institutions. She earned her MBBS degree from Dhaka University in Bangladesh in 2001, laying the foundation for her medical career. She then pursued a Master of Public Health (MPH) from the prestigious Johns Hopkins Bloomberg School of Public Health in 2006, where she gained advanced training in public health and preventive medicine. Dr. Haq completed a Transitional Year Residency at Bassett Healthcare, affiliated with Columbia University, in Cooperstown, New York (2007–2008). She then entered a combined Internal Medicine and Preventive Medicine residency program at Griffin Hospital/Yale School of Public Health/Yale School of Medicine, finishing in 2010. Her academic journey reflects a commitment to excellence, integrating clinical medicine with public health. Dr. Haq is board-certified in Internal Medicine, Endocrinology & Metabolism, and Obesity Medicine, demonstrating a multidisciplinary expertise that enhances both her clinical practice and research contributions.

Professional Experience📝

Dr. Nowreen Haq brings over a decade of diverse and impactful professional experience in clinical medicine, academic leadership, and research. She currently serves as a Physician Executive and Endocrinologist at Luminis Healthcare, where she also holds the role of Assistant Program Director for the Internal Medicine Residency Program. At the University of Maryland Midtown Health Systems, she leads a weight loss and metabolic program, integrating evidence-based protocols to improve cardiometabolic outcomes. Previously, she held clinical and leadership roles at institutions such as Chase Brexton Healthcare, Greater Baltimore Medical Center, NYU Langone, and Johns Hopkins Bayview Medical Center. Dr. Haq has been instrumental in protocol development, quality improvement initiatives, and multidisciplinary care model implementation. She is also actively involved with the NIH as a Principal Investigator in research using machine learning for large clinical databases. Her broad experience spans inpatient and outpatient care, research leadership, and academic mentorship, reflecting her dedication to advancing medical excellence.

Research Interest🔎

Dr. Nowreen Haq’s research interests lie at the intersection of endocrinology, obesity, metabolism, and preventive medicine, with a strong emphasis on improving clinical outcomes through evidence-based interventions. She is particularly focused on the use of data-driven approaches, including machine learning, to analyze large clinical trial databases and enhance treatment protocols. As Principal Investigator at the NIH’s NIDDK, she has led innovative research projects aimed at refining care models for metabolic and endocrine disorders. Dr. Haq is also deeply invested in quality improvement and patient safety, having developed and implemented several clinical protocols to reduce complications such as deep vein thrombosis and medication errors. Her work often bridges clinical practice and research, translating findings into actionable strategies that improve patient care across diverse populations. Additionally, her involvement in national committees and academic programs supports her commitment to advancing research that informs both policy and practice in modern healthcare.

Award and Honor🏆

Dr. Nowreen Haq has received multiple awards and honors that reflect her commitment to clinical excellence, research innovation, and quality improvement. She was nominated for a Clinical Excellence Award across all five facilities within the Johns Hopkins Healthcare system, recognizing her outstanding patient care and leadership. Dr. Haq is a two-time recipient of the prestigious Pyramid Small Grant for Patient Safety and Quality Improvement, awarded for her work on enhancing medication safety and preventing deep vein thrombosis in post-discharge patients. She was also honored with a faculty fellowship from the Student Outreach Resource Center for her efforts in community-based medication safety education for elderly patients. Additionally, she received a research grant from the Agency for Healthcare Quality and Research (AHRQ) to study the utilization of cardiac resynchronization therapy in Medicare patients. These accolades underscore her dedication to advancing healthcare through research, education, and patient-centered innovation.

Research Skill🔬

Dr. Nowreen Haq possesses a robust set of research skills that span clinical investigation, data analysis, protocol design, and healthcare quality improvement. As a Principal Investigator at the NIH’s National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), she has demonstrated expertise in utilizing machine learning approaches to analyze large-scale clinical trial databases, showcasing her ability to apply advanced analytical tools to real-world healthcare challenges. She is skilled in developing and implementing evidence-based clinical protocols, particularly in endocrinology and metabolic disease management, and has successfully translated research findings into clinical practice improvements. Dr. Haq’s proficiency extends to grant writing, having secured competitive funding for projects focused on patient safety and quality enhancement. Her experience in multidisciplinary collaboration and her role in national medical committees further reflect her strategic research planning and leadership abilities. These skills collectively enable her to lead impactful, patient-centered research initiatives that inform both policy and clinical standards.

Conclusion💡

Dr. Nowreen Haq is exceptionally qualified for the Best Researcher Award, particularly due to her blend of clinical excellence, leadership in protocol development, innovative research using machine learning, and strong academic roles. While her research impact would be better showcased with more visibility into her publication metrics, her contributions to translational medicine, safety improvement, and protocol innovation clearly position her as a top contender.

Publications Top Noted✍

  • Title: Metabolically healthy obesity, transition to metabolic syndrome, and cardiovascular risk
    Authors: M Mongraw-Chaffin, MC Foster, CAM Anderson, GL Burke, N Haq, …
    Year: 2018
    Citations: 436
    Journal: Journal of the American College of Cardiology, 71(17), 1857–1865

  • Title: Role of intensive glucose control in development of renal end points in type 2 diabetes mellitus: systematic review and meta-analysis
    Authors: SG Coca, F Ismail-Beigi, N Haq, HM Krumholz, CR Parikh
    Year: 2012
    Citations: 373
    Journal: Archives of Internal Medicine, 172(10), 761–769

  • Title: Predictors of response to cardiac resynchronization therapy: a systematic review
    Authors: J Rickard, H Michtalik, R Sharma, Z Berger, E Iyoha, AR Green, N Haq, …
    Year: 2016
    Citations: 98
    Journal: International Journal of Cardiology, 225, 345–352

  • Title: Acute changes in N-terminal pro-B-type natriuretic peptide during hospitalization and risk of readmission and mortality in patients with heart failure
    Authors: HJ Michtalik, HC Yeh, CY Campbell, N Haq, H Park, W Clarke, …
    Year: 2011
    Citations: 82
    Journal: The American Journal of Cardiology, 107(8), 1191–1195

  • Title: Atherosclerotic cardiovascular disease screening in adults: American College of Preventive Medicine position statement on preventive practice
    Authors: LS Lim, N Haq, S Mahmood, L Hoeksema, ACPM Committee
    Year: 2011
    Citations: 81
    Journal: American Journal of Preventive Medicine, 40(3), 381.e1–381.e10

Xiang Li | Computer Science | Best Researcher Award

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Ms. Xiang Li | Computer Science | Best Researcher Award

PHD candidate at University of Chinese Academy of Sciences, China

Xiang Li, a Ph.D. candidate at the University of Chinese Academy of Sciences, demonstrates exceptional potential for the Best Researcher Award. With a solid academic foundation—ranking in the top 5–7% throughout his studies—he has excelled in areas such as deep learning, stochastic processes, and pattern recognition. His research focuses on cross-domain few-shot learning, addressing real-world challenges like medical lesion detection and remote sensing scene classification. He has published in the prestigious Knowledge-Based Systems journal and submitted another to IEEE Transactions on Geoscience and Remote Sensing. Xiang has also earned accolades, including the Second Prize in the National Mathematical Modeling Competition and a top-tier finish in the Huawei Software Elite Challenge. His future interests in class-incremental learning and prompt tuning highlight a clear vision for impactful research. Overall, Xiang Li’s innovative contributions, academic excellence, and commitment to advancing AI technologies make him a strong and deserving candidate for this recognition.

Professional Profile 

Education

Xiang Li has demonstrated outstanding academic performance throughout his educational journey. He earned his Bachelor’s degree in Information and Computer Science from Shandong University, graduating in July 2021 with an impressive GPA of 91.73/100, placing him in the top 7.46% of his class. His coursework included high-level subjects such as Mathematical Statistics, Operations Research, and Advanced Algebra, in which he consistently achieved top scores. Following this, he was admitted to the University of Chinese Academy of Sciences, where he completed foundational Ph.D. training from September 2021 to July 2022, ranking in the top 5% with a GPA of 87.13/100. His advanced studies covered critical areas like Matrix Analysis, Deep Learning, and Pattern Recognition. Currently, he is conducting doctoral research at the Institute of Optics and Electronics, Chinese Academy of Sciences, focusing on cross-domain few-shot learning. His educational background reflects strong technical competence and a solid foundation for innovative research.

Professional Experience

Xiang Li has accumulated valuable professional research experience during his Ph.D. studies at the Institute of Optics and Electronics, Chinese Academy of Sciences. His primary research focuses on cross-domain few-shot learning, a vital area in artificial intelligence that addresses challenges in data-scarce environments. He has led and contributed to key projects, including the development of a dynamic representation enhancement framework to improve model generalization across different domains, and the fine-tuning of general pre-trained models for few-shot remote sensing scene classification. In addition to research, Xiang has actively participated in national competitions, winning third prize in the Huawei Software Elite Challenge for designing a traffic scheduling plan and contributing to infrared small target detection strategies in another competition. These experiences highlight his strong technical problem-solving skills, teamwork, and ability to apply theoretical knowledge to real-world challenges. His professional work reflects both depth and versatility, positioning him as a highly capable and innovative young researcher.

Research Interest

Xiang Li’s research interests lie at the forefront of artificial intelligence, with a strong focus on cross-domain few-shot learning, computer vision, and representation learning. He is particularly interested in developing algorithms that enable models to perform effectively in data-scarce scenarios, addressing the challenges posed by domain shifts and limited labeled data. His current work involves enhancing the representational capacity of models to learn diverse and meaningful features across domains, with applications in medical image analysis and remote sensing. Xiang is also exploring techniques for fine-tuning general pre-trained models to adapt to new tasks without extensive retraining. Looking ahead, he is keen on advancing research in few-shot class-incremental learning, where models continuously adapt to new classes with minimal data, and in prompt tuning for vision-language pre-trained models, which integrates natural language processing with visual recognition. His interests reflect a forward-thinking approach to building intelligent systems capable of learning efficiently and generalizing across tasks.

Award and Honor

Xiang Li has received several prestigious awards and honors in recognition of his academic excellence and research capabilities. During his undergraduate and doctoral studies, he was consistently awarded scholarships from both Shandong University and the University of Chinese Academy of Sciences, reflecting his outstanding academic performance and dedication. In June 2022, he was named a Merit Student at the University of Chinese Academy of Sciences, an honor reserved for top-performing students. His strong analytical and problem-solving skills were further recognized in national competitions, where he earned the Second Prize in the National College Students’ Mathematical Modeling Competition in 2019. Additionally, he played a key role in a team that won third prize in the Huawei Software Elite Challenge, a highly competitive event involving over 300 teams. These honors highlight his ability to excel both academically and practically, reinforcing his position as a promising and accomplished young researcher in the field of computer science.

Research skill

Xiang Li possesses a strong set of research skills that make him a capable and innovative scholar in the field of artificial intelligence and computer vision. His expertise spans advanced areas such as cross-domain few-shot learning, deep learning, and representation learning. He demonstrates exceptional analytical abilities, evident in his design and implementation of dynamic representation frameworks to enhance model generalization across diverse domains. Xiang is proficient in applying theoretical concepts to practical problems, as seen in his work on fine-tuning pre-trained models for remote sensing scene classification. His skill set includes programming, algorithm development, statistical analysis, and critical thinking, which he has effectively applied in both solo research and collaborative projects. Furthermore, his ability to publish in top-tier journals, such as Knowledge-Based Systems, reflects his competence in scientific writing, experimental design, and result interpretation. These research skills enable him to tackle complex challenges and contribute meaningfully to the advancement of intelligent systems.

Conclusion

Xiang Li is a highly promising young researcher with a solid academic foundation, well-defined research focus, and impactful contributions in the field of computer vision and machine learning. His achievements in cross-domain few-shot learning, publication in a top-tier journal, and award-winning competition experience clearly demonstrate excellence in research and innovation.

Publications Top Noted

  • Title: RSGPT: A remote sensing vision language model and benchmark
    Authors: Y. Hu, Yuan; J. Yuan, Jianlong; C. Wen, Congcong; Y. Liu, Yu; X. Li, Xiang
    Year: 2025

  • Title: Uni3DL: A Unified Model for 3D Vision-Language Understanding
    Authors: X. Li, Xiang; J. Ding, Jian; Z. Chen, Zhaoyang; M. Elhoseiny, Mohamed
    Year: 2025 (Conference Paper)

  • Title: 3D Shape Contrastive Representation Learning With Adversarial Examples
    Authors: C. Wen, Congcong; X. Li, Xiang; H. Huang, Hao; Y.S. Liu, Yu Shen; Y. Fang, Yi
    Year: 2025
    Journal: IEEE Transactions on Multimedia
    Citations: 4

  • Title: Learning general features to bridge the cross-domain gaps in few-shot learning
    Authors: X. Li, Xiang; H. Luo, Hui; G. Zhou, Gaofan; M. Li, Meihui; Y. Liu, Yunfeng
    Year: 2024
    Journal: Knowledge-Based Systems
    Citations: 1

Andrew Goulian | Medicine and Dentistry | Future-Focused Innovation Pioneer Award

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Mr. Andrew Goulian | Medicine and Dentistry | Future-Focused Innovation Pioneer Award

Medical Student at California Northstate University College of Medicine, United States

Andrew J. Goulian is a dedicated medical student at California Northstate University College of Medicine (Class of 2026) and a recipient of the U.S. Navy Health Professions Scholarship Program (HPSP). With an MPH from Columbia University and a BA in Neuroscience, he has demonstrated strong academic excellence, leadership, and research expertise. His work spans addiction medicine, military medicine, and orthopaedic trauma, with multiple peer-reviewed publications and conference presentations. Goulian has led clinical trials, collaborated with pharmaceutical sponsors, and contributed to public health initiatives, including harm reduction research in Native American communities. His leadership roles include serving as an AMA Medical Student Section representative and president of multiple student organizations. With extensive experience in clinical research, teaching, and mentorship, he has made significant contributions to medical innovation and public health. His diverse expertise and commitment to advancing healthcare make him a strong candidate for the Future-Focused Innovation Pioneer Award.

Professional Profile 

Education

Andrew J. Goulian has a strong educational background in medicine, public health, and neuroscience. He is currently pursuing his Doctor of Medicine (MD) degree at California Northstate University College of Medicine (Class of 2026) and is a recipient of the prestigious U.S. Navy Health Professions Scholarship Program (HPSP). Prior to medical school, he earned a Master of Public Health (MPH) degree from Columbia University, where he focused on health policy, epidemiology, and harm reduction strategies. His undergraduate studies were completed at the University of Southern California (USC), where he obtained a Bachelor of Arts in Neuroscience, equipping him with a strong foundation in biomedical sciences and research methodology. Throughout his academic career, Goulian has been actively engaged in clinical research, leadership roles, and community outreach, demonstrating a commitment to advancing healthcare through both scientific inquiry and service. His diverse educational background uniquely positions him for success in medical innovation.

Professional Experience

Andrew J. Goulian has a diverse professional background spanning clinical research, public health, and military service. As a U.S. Navy Health Professions Scholarship Program (HPSP) recipient, he is committed to serving as a future military physician. His experience includes working as a clinical research coordinator, where he contributed to studies in neurology and public health, focusing on harm reduction strategies and epidemiological research. He has also been involved in healthcare policy initiatives, leveraging his Master of Public Health (MPH) training from Columbia University to analyze and develop strategies for improving medical access and patient outcomes. Additionally, Goulian has held leadership roles in medical student organizations, demonstrating a passion for mentorship and community outreach. His combined expertise in medicine, public health, and research underscores his commitment to advancing healthcare both in civilian and military settings. His professional journey reflects a strong dedication to service, innovation, and evidence-based medicine.

Research Interest

Andrew J. Goulian’s research interests lie at the intersection of medicine, public health, and military healthcare. He is particularly focused on neurology, harm reduction strategies, and epidemiological research aimed at improving patient outcomes. His work in clinical research has explored neurological disorders and their broader implications for public health, emphasizing data-driven approaches to treatment and intervention. Additionally, he has been involved in studies on healthcare policy and access, seeking to identify systemic barriers and develop solutions to enhance medical care delivery. His Master of Public Health (MPH) training has further reinforced his interest in preventive medicine and population health, particularly in optimizing healthcare strategies for both civilian and military populations. With a strong commitment to evidence-based medicine, Goulian is dedicated to research that advances medical innovation, improves patient care, and supports healthcare initiatives that benefit diverse communities, including those in military and underserved settings.

Award and Honor

​As of now, there is no publicly available information regarding awards and honors received by Mr. Andrew Goulian. His professional profile highlights his role as a second-year medical student at California Northstate University and his active involvement in clinical research at the UCSF Department of Orthopaedic Surgery’s Orthopaedic Trauma Institute. During his internship, he collaborated with Dr. Meir Marmor on studies utilizing advanced ultrasound technologies to assess Acute Compartment Syndrome. Additionally, as an officer in the U.S. Navy, his dedication to trauma research is influenced by its significant impact on military personnel. While his commitment to research and the military community is evident, specific awards or honors have not been documented in the available sources.

Research Skill

Mr. Andrew Goulian possesses strong research skills, particularly in the field of orthopaedic trauma and medical technology. As a clinical research intern at the UCSF Department of Orthopaedic Surgery’s Orthopaedic Trauma Institute, he has gained experience in conducting studies involving advanced ultrasound technologies to assess Acute Compartment Syndrome. His work requires proficiency in data collection, analysis, and interpretation, as well as a thorough understanding of clinical research methodologies. Additionally, his role involves collaboration with medical professionals and researchers, demonstrating his ability to work effectively in a team-oriented research environment. His background as a second-year medical student at California Northstate University further enhances his ability to integrate medical knowledge with research applications. Moreover, his position as an officer in the U.S. Navy suggests strong leadership and problem-solving abilities, which are crucial in conducting impactful research. His dedication to trauma research highlights his analytical mindset and commitment to advancing medical science.

Conclusion

Andrew J. Goulian is a strong candidate for the Future-Focused Innovation Pioneer Award, given his cutting-edge research, leadership in medical innovation, and contributions to digital health solutions. If he continues to translate his research into real-world healthcare solutions, policy influence, or industry-changing innovations, he would be an even more compelling choice.

Publications Top Noted

  • Authors: Y. Abgin, K.K. Umemoto, A. Goulian, O.G. Ahmed, D.M. Tang
  • Year: 2024
  • Title: Accuracy and Completeness of Bard and Chat-GPT 4 Responses for Questions Derived from the International Consensus Statement on Endoscopic Skull-Base Surgery 2019
  • Journal: Journal of Neurological Surgery, Part B: Skull Base
  • Publication Type: Research Article

Leling Xiao | Environmental Science | Best Researcher Award

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Ms. Leling Xiao | Environmental Science | Best Researcher Award

PhD Candidate at Beijing Normal University,China

Ms. Leling Xiao is a dedicated researcher in environmental science, currently pursuing a Ph.D. at Beijing Normal University, specializing in river sediment dynamics, shoreline changes, and ecological systems. She holds an MSc in Carbon Management from the University of Edinburgh and dual bachelor’s degrees in Economics and Law from Xiangtan University. With multiple peer-reviewed publications in prestigious journals like Engineering Geology and Remote Sensing, she has significantly contributed to climate change and hydrological research. Her professional experience at China Testing & Certification International Group involved carbon neutrality assessments, ecological product valuation, and forestry carbon sink calculations. Recognized with numerous awards, including the National Bronze Award in the “Challenge Cup” and a First-Class Comprehensive Scholarship, she demonstrates academic excellence and leadership. Proficient in Python, R, and Matlab, she applies data-driven approaches to environmental challenges. Her expertise bridges research and policy, positioning her as a promising leader in sustainability and climate science.

Professional Profile 

Education

Ms. Leling Xiao has a strong and diverse educational background spanning environmental science, carbon management, economics, and law. She is currently pursuing a Ph.D. in Environmental Science at Beijing Normal University, focusing on the dynamic changes of river sediment, shorelines, and ecological systems. She earned her Master of Science in Carbon Management from the University of Edinburgh, where she specialized in climate change mitigation, carbon economics, and environmental modeling. During her undergraduate studies at Xiangtan University, she completed a double degree in International Economics and Trade and Law, ranking first in comprehensive evaluation. Her coursework covered finance, international trade, investment, and legal studies, providing her with a multidisciplinary approach to environmental and sustainability issues. With a strong academic foundation supported by prestigious scholarships and honors, Ms. Xiao integrates scientific research, economic principles, and legal frameworks to address pressing environmental challenges on a global scale.

Professional Experience

Ms. Leling Xiao has extensive professional experience in environmental science, climate policy, and carbon management. She worked as an Assistant Engineer in the Climate Change Response Services Department at China Testing & Certification International Group, where she contributed to national carbon neutrality initiatives, carbon footprint calculations, and ecological product valuation. Her work included key projects such as the Ministry of Industry and Information Technology’s carbon peak and neutrality public service platform, forestry carbon sink accounting, and waste incineration emission reduction. She also played a role in developing national and enterprise standards for low-carbon economies and carbon asset management. In her doctoral research, she is actively involved in studying shoreline dynamics and aquatic ecological health in the Yangtze River Basin. With hands-on experience in research, policy development, and technical project implementation, Ms. Xiao’s expertise bridges academic research and practical sustainability solutions, making her a valuable contributor to environmental science and climate action.

Research Interest

Ms. Leling Xiao’s research interests lie at the intersection of environmental science, river dynamics, and climate change mitigation. Her Ph.D. research focuses on the dynamic changes of river sediment, shorelines, and aquatic ecosystems, aiming to understand their ecological and hydrological implications. She is particularly interested in fluvial geomorphology, water resource management, and ecological health assessments, with an emphasis on the Yangtze River Basin. Additionally, her background in carbon management has led her to explore low-carbon development strategies, carbon footprint analysis, and sustainable resource utilization. Through her work, she aims to bridge scientific research with environmental policy, contributing to better management of river systems and climate resilience. With expertise in remote sensing, environmental modeling, and carbon neutrality strategies, Ms. Xiao’s research seeks to develop innovative solutions for sustainable watershed management, erosion control, and climate adaptation in response to global environmental challenges.

Award and Honor

Ms. Leling Xiao has received numerous awards and honors in recognition of her academic excellence, research contributions, and leadership. She was awarded the Doctoral Academic Scholarship (Second Class) at Beijing Normal University and recognized as an Outstanding Teaching Assistant for her contributions to academia. Her achievements in research and innovation were highlighted through national and provincial awards, including the National Bronze Award in the “Challenge Cup” College Students’ Entrepreneurship Competition and the Provincial Silver Award in the Hunan “Creating Youth” Competition. She also secured the National Third Prize in the National English Contest for College Students. During her undergraduate years at Xiangtan University, she consistently ranked in the top 1%, earning the First-Class Comprehensive Scholarship twice. Additionally, she was honored as an Outstanding Student Leader and recognized for her volunteer work. These accolades reflect her dedication to academic excellence, research innovation, and leadership in environmental science and sustainability.

Research Skill

Ms. Leling Xiao possesses strong research skills in environmental science, hydrology, and carbon management, supported by expertise in data analysis, remote sensing, and environmental modeling. She is proficient in programming languages such as Python, R, and Matlab, which she utilizes for data processing, statistical modeling, and ecological assessments. Her experience with remote sensing tools and GIS applications allows her to analyze shoreline changes, sediment transport, and water system connectivity. Additionally, she has worked extensively on carbon footprint calculations, climate impact assessments, and ecological product valuation, contributing to national carbon neutrality projects. Her ability to integrate scientific research with policy applications makes her a versatile researcher. She is also skilled in academic writing and publishing, with multiple peer-reviewed articles in top environmental journals. With a strong foundation in interdisciplinary research methods, Ms. Xiao applies quantitative and qualitative approaches to address complex environmental challenges effectively.

Conclusion

Xiao Leling is a highly qualified candidate for the Best Researcher Award, with strong academic credentials, impactful research publications, and applied contributions to environmental science and carbon management. While additional leadership in research projects and greater international collaboration could further enhance their profile, their contributions to sediment transport, climate change, and carbon neutrality make them a strong contender for the award.

Publications Top Noted

  • Author(s): Xiao, Leling; Guo, Chao; Du, Jizeng; Zhou, Yang; Yi, Yunjun
  • Year: 2025
  • Title: Rill erosion in post-seismic watershed – A non-negligible transporting way of fluvial sediment
  • Journal: Engineering Geology
  • DOI/Reference: (Include DOI if available)

Calver Pang | Medicine and Dentistry | Best Researcher Award

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Dr. Calver Pang | Medicine and Dentistry | Best Researcher Award

Plastic Surgery Registrar at UCL, Division of Surgery & Interventional Science, United Kingdom

Dr. Calver Pang is an accomplished medical researcher and plastic surgery specialist with extensive experience in vascular malformations. He holds a PhD from University College London and has completed a prestigious surgical research fellowship at Johns Hopkins University. With multiple peer-reviewed publications and contributions to systematic reviews, his work has significantly influenced clinical practice, particularly in sclerotherapy and molecular pathogenesis. He has secured over £146,000 in research grants, including funding from The Butterfly AVM Charity and The Royal Free Charity. Recognized with several research awards, including the Qualitative Research Winner (Society of Academic & Research Society, 2020), he has demonstrated a strong commitment to advancing medical science. His multidisciplinary collaborations, spanning vascular and plastic surgery, pharmacology, and nanotechnology, highlight his innovative approach. While further leadership in large-scale trials could strengthen his profile, his impressive research achievements and clinical impact make him a strong contender for the Best Researcher Award.

Professional Profile 

Education

Dr. Calver Pang has a distinguished educational background spanning medicine, surgery, and pharmacology. He earned his MBChB from the University of Leicester in 2015, followed by Membership of the Royal College of Surgeons (MRCS) Edinburgh in 2021. He is currently pursuing a PhD at University College London (UCL), focusing on biomarkers in vascular malformations, demonstrating his commitment to advancing medical research. Additionally, he holds a First-Class Honours MPharm degree from UCL’s School of Pharmacy (2010), showcasing his strong foundation in both medicine and pharmacology. His dedication to medical education is further evident through his Associate Fellowship of the Higher Education Academy (AFHEA, 2021). Beyond formal education, he has completed multiple advanced surgical training courses, including ATLS, CCrISP, and EMSB, enhancing his expertise in trauma, critical care, and reconstructive surgery. His diverse academic qualifications highlight his interdisciplinary expertise, making him a well-rounded and accomplished researcher and clinician.

Professional Experience

Dr. Calver Pang has an extensive and diverse professional background in surgery and medical research. Currently, he is a Specialty Training (ST4) plastic surgery trainee at Cambridge University Hospitals (2024–2025), following his ST3 role in the same department. His expertise spans plastic, vascular, trauma, orthopaedic, and general surgery, having trained at prestigious institutions such as the Royal Free London NHS Foundation Trust, University Hospitals of Leicester, and Addenbrooke’s Hospital. His international experience includes a Surgical Research Fellowship at Johns Hopkins University (2015–2017), where he contributed to cutting-edge research in surgery. Additionally, he served as a Clinical Research Fellow at the Royal Free London NHS Trust (2017–2020), focusing on vascular malformations and gene therapy. His career reflects a strong balance between clinical excellence and research innovation, with leadership in multi-disciplinary studies and numerous high-impact publications. His expertise in both clinical practice and academia makes him a standout in his field.

Research Interest

Mr. Calver Pang’s research interests lie at the intersection of vascular malformations, plastic surgery, and regenerative medicine. His PhD at University College London focuses on the characterization of biomarkers in vascular malformations, aiming to improve diagnostic accuracy and treatment strategies. He has extensively studied embolotherapy, sclerotherapy, and molecular pathogenesis, contributing to advancements in minimally invasive interventions. His work also extends to gene therapy and nanotechnology in wound healing, demonstrating his innovative approach to translational medicine. He has published multiple peer-reviewed articles on mental health and quality of life in patients with congenital vascular disorders, emphasizing holistic patient care. Additionally, his interest in botulinum toxin therapy for vascular conditions showcases his commitment to pioneering new treatments. With a strong foundation in both clinical and laboratory-based research, he continues to explore novel therapies that bridge the gap between basic science and real-world medical applications, ultimately improving patient outcomes.

Award and Honor
Mr. Calver Pang has received numerous awards and honors in recognition of his outstanding contributions to medical research and surgery. He was awarded the Qualitative Research Winner by the Society of Academic & Research Society (2020) and the ASiT Virtual Event Bursary (2020), highlighting his excellence in academic research. He has secured multiple prestigious grants, including The Butterfly AVM Charity Grant (£136,080, 2019) and The Royal Free Charity Grant (£10,000, 2019), supporting his work in vascular malformations. His achievements also include the Robert Brown Travel Award from UCL (2019) and various elective scholarships, such as the British Medical and GlaxoSmithKline Dental Students’ Trust (£800, 2015) and the British Association of Plastic Reconstructive and Aesthetic Surgeons bursary (£500, 2015). His recognition at both national and international levels reflects his dedication to advancing medical science, making him a highly regarded researcher and clinician in his field.

Research Skill

Mr. Calver Pang possesses a diverse and advanced set of research skills, making him a distinguished medical researcher. He is highly proficient in clinical and translational research, with expertise in biomarker analysis, histopathology, and molecular pathogenesis of vascular malformations. His ability to design and conduct systematic reviews, multicenter studies, and observational research has led to numerous high-impact publications. He is skilled in statistical analysis, data interpretation, and research methodology, ensuring rigorous and evidence-based conclusions. His experience in grant writing and securing competitive funding—amounting to over £146,000 in research grants—demonstrates his ability to drive independent research projects. Additionally, he has experience in nanotechnology and gene therapy, applying innovative approaches to wound healing and regenerative medicine. His multidisciplinary collaborations across vascular surgery, plastic surgery, and pharmacology further enhance his research versatility. His analytical mindset and dedication to advancing medical knowledge make him a leading researcher in his field.

Conclusion

Mr. Calver Pang is a highly suitable candidate for the Best Researcher Award, with a strong research background, multiple grants, and impactful publications. His contributions to vascular malformation research and multidisciplinary approach set him apart. While he could further solidify his leadership with larger-scale studies and more high-impact journal publications, his current achievements make him a compelling contender for the award.

Publications Top Noted

  • Author(s): Pang, C., Iakovou, D., Fraser, D., Langridge, B.J., Butler, P.E.M.
  • Year: 2025
  • Title: A systematic review of botulinum toxin as a treatment for Raynaud’s disease secondary to scleroderma
  • Journal: Clinical Rheumatology

Yaochou Tsai | Health Professions | Best Researcher Award

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Dr. Yaochou Tsai | Health Professions | Best Researcher Award

Investigator at Taipei Tzu Chi Hospital, Taiwan

Dr. Yao Chou Tsai, M.D., Ph.D., is a distinguished urologist and researcher, currently serving as the Director of the Department of Urology at Taipei Tzu Chi General Hospital and an Associate Professor of Urology. With expertise in robotic-assisted laparoscopic surgery, laparoendoscopic single-site surgery (LESS), and endourology, he has made significant contributions to urological research, particularly in Taiwan UTUC collaboration. Dr. Tsai has held various leadership roles, including Secretary General of the Taiwan Maple Urological Association and Scientific Committee member for prestigious international conferences. He has received numerous accolades, including the Young Investigator Award and multiple best surgical film awards. Actively involved in academia, he has delivered invited lectures and live surgical demonstrations worldwide. His work has been recognized for surgical excellence by the Symbol of National Quality. With a strong research and clinical background, Dr. Tsai continues to advance urological innovations, making him a leading figure

Professional Profile

Education

Dr. Yao Chou Tsai, M.D., Ph.D., has an extensive educational background in medicine and biomedical engineering. He earned his medical degree from Taipei Medical University (1990–1997), laying the foundation for his expertise in urology. Committed to advancing his knowledge, he pursued a Ph.D. in Biomedical Engineering at National Taiwan University (2011–2015), focusing on innovative surgical techniques and medical research. His post-graduate training includes a urology residency at National Taiwan University Hospital (1999–2003), where he gained specialized clinical experience. He further refined his skills through advanced training in laparoscopic and endoscopic surgery, including international workshops in Hong Kong and China. Dr. Tsai holds multiple board certifications, including those from the Taiwan Urological Association and Taiwan Association for Endoscopic Surgery. His robust education, combined with continuous professional development, has enabled him to become a leader in robotic surgery, laparoendoscopic techniques, and pediatric urology.

Professional Experience

Dr. Yao Chou Tsai, M.D., Ph.D., has a distinguished professional career in urology and minimally invasive surgery. Currently, he serves as the Director of the Department of Urology at Taipei Tzu Chi General Hospital and an Associate Professor of Urology. With over two decades of experience, he has held key leadership roles, including Deputy Director of the Medical Administration Office and Medical Department at Taipei Tzu Chi and Taipei Medical University Hospitals. He was also the Director of the Minimal Invasive Surgery Center and has played a crucial role in advancing robotic-assisted and laparoendoscopic single-site surgery (LESS). A recognized figure in the international urology community, Dr. Tsai has contributed as a scientific committee member for major urological conferences and serves on editorial boards of renowned medical journals. His expertise in research, clinical practice, and surgical education has positioned him as a leader in urological innovation and education worldwide.

Research Interests

Dr. Yao Chou Tsai, M.D., Ph.D., has a strong research focus on urological oncology, minimally invasive surgery, and robotic-assisted techniques. His work in Taiwan UTUC collaboration research has significantly contributed to the understanding and treatment of upper tract urothelial carcinoma (UTUC). He is also deeply involved in advancing robotic-assisted laparoscopic surgery and laparoendoscopic single-site surgery (LESS), improving surgical precision and patient outcomes. His expertise extends to endourology and pediatric urology, where he explores innovative techniques to enhance minimally invasive procedures. Dr. Tsai’s research has been recognized through numerous awards and publications, and he actively participates in international collaborations, sharing insights on cutting-edge surgical approaches. As an editorial board member of prestigious medical journals, he plays a key role in shaping the future of urological research. His dedication to surgical innovation and patient-centered research continues to make a lasting impact on the field of urology.

Awards and Honors

Dr. Yao Chou Tsai, M.D., Ph.D., has received numerous prestigious awards and honors in recognition of his contributions to urological surgery and research. His achievements include the Young Investigator Award at the 2008 World Congress of Endoscopic Surgery and multiple Best Surgical Film Awards from the Taiwan Urological Association. He has also been honored with several Medical Research and Publication Awards from Taipei Tzu Chi General Hospital, securing first, second, and third prizes across different years. In 2015, he received the Medical Contribution Award of New Taipei City, acknowledging his dedication to advancing medical practices. His surgical excellence was further recognized with the Symbol of National Quality (SNQ) Award for pioneering work in single-port endoscopic adrenalectomy. With his continuous contributions to minimally invasive and robotic-assisted surgery, Dr. Tsai remains a highly respected and awarded figure in the field of urology and medical innovation.

Research Skills

Dr. Yao Chou Tsai, M.D., Ph.D., possesses exceptional research skills in the field of urology, minimally invasive surgery, and robotic-assisted techniques. His expertise lies in clinical research, surgical innovation, and biomedical engineering, particularly in Taiwan UTUC collaboration research. He has a strong ability to design and conduct clinical trials, analyze surgical outcomes, and apply advanced statistical methods to evaluate treatment efficacy. Dr. Tsai is skilled in laparoendoscopic and robotic-assisted surgical techniques, contributing to the development of minimally invasive procedures that improve patient care. His proficiency in scientific writing and peer-reviewed publications has led to multiple research awards and international recognition. As an editorial board member of several medical journals, he is experienced in manuscript review, research ethics, and academic publishing. His ability to integrate clinical expertise with innovative research methodologies makes him a leader in urological advancements and medical technology development.

Conclusion

Dr. Tsai, Yao Chou is a highly accomplished researcher in urology, particularly in minimally invasive and robotic-assisted surgery. His academic leadership, numerous awards, and international recognition make him a strong candidate for the Best Researcher Award. Enhancing his research output in high-impact journals, securing major grants, and contributing to medical innovation would further strengthen his profile. However, based on his current credentials, he is highly deserving of this award.

Publication Top Notes

  • Tsai, Yaochou et al. (2025) – Diagnostic Accuracy of Indocyanine Green–stained Sentinel Lymph Nodes in Prostate Cancer Patients: A Systematic Review and Meta-analysis – European Urology Open Science

  • Tsai, Yaochou et al. (2025) – Re: Comparative Analysis of Holmium Laser Enucleation of the Prostate (HoLEP) and Robotic-Assisted Simple Prostatectomy (RASP) in BPH Management: A Systematic Review and Meta-Analysis – European Urology Focus

  • Tsai, Yaochou et al. (2024) – Central Pathology Review and its Prognostic Value in Upper Tract Urothelial Carcinoma Patients: A Nationwide Multi-Institutional Study – Scientific Reports

  • Tsai, Yaochou et al. (2024) – No Difference in Oncological Outcomes and Perioperative Complications Between Patients with ESRD with Unilateral and Bilateral UTUC Receiving Radical Nephroureterectomy – Scientific Reports

  • Tsai, Yaochou et al. (2024) – De Garengeot Hernia, an Acute Appendicitis in the Right Femoral Hernia Canal, and Successful Management with Transabdominal Closure and Appendectomy: A Case Report – BMC Urology – 1 citation

  • Tsai, Yaochou et al. (2024) – The Interplay Between von Hippel–Lindau Tumor Suppressor Gene, Lon Protease, ROS Accumulation, and Inflammation in Clear Cell Renal Cell Carcinoma – Current Issues in Molecular Biology

Vibhuti Shah | Medicine and Dentistry | Best Researcher Award

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Dr. Vibhuti Shah | Medicine and Dentistry | Best Researcher Award

MD, FRCPC at Mount Sinai Hospital, Canada

Dr. Vibhuti Shah is a distinguished neonatologist, clinical epidemiologist, and professor at the University of Toronto, with over two decades of expertise in pediatric research. She serves as Chair of the Research Ethics Board at Mount Sinai Hospital and has played a pivotal role in advancing neonatal care through her extensive research. Holding multiple prestigious qualifications, including an MSc in Clinical Epidemiology, MRCPCH (UK), and FRCPC (Canada), she has been recognized internationally for her contributions, receiving awards such as the Patil Award (AMEE, UK) and invitations from JAMA’s “Author in the Room” program. Dr. Shah’s leadership in academia and research ethics, combined with her mentorship of future medical professionals, underscores her commitment to improving neonatal outcomes. Her work has significantly impacted clinical guidelines and patient care, making her a strong contender for the Best Researcher Award. Her dedication to research excellence continues to shape advancements in neonatology and pediatrics globally.

Professional Profile

Education

Dr. Vibhuti Shah has an extensive educational background in medicine, pediatrics, and clinical research. She earned her MBBS from the University of Bombay in 1982, followed by a Diploma in Child Health (DCH) in 1986 and an MD in Pediatrics in 1987. Further advancing her expertise, she obtained the prestigious MRCP (UK) in 1994 and MRCPCH (UK) in 1997, signifying her specialization in pediatrics and child health. She later achieved the FRCPC (Paediatrics) from the Royal College of Physicians and Surgeons of Canada in 2005, cementing her reputation in the field. Committed to research excellence, Dr. Shah pursued an MSc in Clinical Epidemiology and Healthcare Research at the University of Toronto in 2007. Her extensive training includes fellowships in neonatology and perinatal medicine in India, the UK, and Canada. This strong academic foundation has enabled her to contribute significantly to neonatal research, ethics, and healthcare advancements.

Professional Experience

Dr. Vibhuti Shah has an extensive professional career spanning clinical practice, research, and academic leadership in neonatology and pediatrics. She is a Professor in the Department of Pediatrics and the Institute of Health Policy, Management, and Evaluation at the University of Toronto and a Staff Neonatologist and Clinical Epidemiologist at Mount Sinai Hospital. She also chairs the Research Ethics Board at Mount Sinai Hospital and Humber River Hospital, overseeing research integrity and compliance. Previously, she served as Interim Co-Chair of the Research Ethics Board and held clinical fellowships in neonatology in Canada, the UK, and India. She has been an Associate Member of the School of Graduate Studies at the University of Toronto since 2008 and has contributed significantly to mentoring and training medical professionals. With decades of experience in research, clinical care, and ethics, Dr. Shah has played a vital role in shaping neonatal healthcare policies and advancing pediatric medicine.

Research Interest

Dr. Vibhuti Shah’s research interests focus on neonatal-perinatal medicine, clinical epidemiology, and healthcare ethics, with a strong emphasis on improving neonatal outcomes through evidence-based interventions. She has conducted extensive research on pain management in neonates, neonatal resuscitation, and perinatal care strategies, contributing to clinical guidelines that enhance patient care. Her work in clinical epidemiology involves evaluating healthcare interventions, systematic reviews, and meta-analyses to improve neonatal and pediatric care practices. As Chair of the Research Ethics Board at Mount Sinai Hospital, she is also deeply engaged in research ethics, ensuring the ethical conduct of clinical trials and healthcare studies. Additionally, Dr. Shah has been involved in health policy research, focusing on optimizing neonatal healthcare delivery. Her contributions, recognized by prestigious international awards, continue to shape neonatal clinical practices and influence medical education, making a significant impact on global pediatric research and patient care.

Award and Honor

Dr. Vibhuti Shah has received numerous prestigious awards and honors in recognition of her contributions to neonatal research, medical education, and clinical epidemiology. Internationally, she was awarded the Patil Award by the Association for Medical Education in Europe (AMEE, UK) for her work in teaching and learning. She was also selected for the Mid-Atlantic Conference on Perinatal Research in both 2005 and 2006, receiving travel awards for her groundbreaking research in neonatology. In 2006, she was honored with the Thomas Jefferson Honorarium and Speakership for her clinical research contributions. Additionally, she was selected by the Journal of the American Medical Association (JAMA) for its “Author in the Room” program, recognizing her impactful research on neonatal pain management. These accolades underscore Dr. Shah’s exceptional leadership, innovation, and commitment to advancing neonatal healthcare, making her a highly respected figure in the global pediatric research community.

Research Skill

Dr. Vibhuti Shah possesses a diverse set of research skills that have significantly contributed to advancements in neonatal-perinatal medicine and clinical epidemiology. She is highly proficient in clinical trial design, systematic reviews, meta-analyses, and evidence-based medicine, ensuring that neonatal healthcare practices are guided by robust scientific evidence. Her expertise in biostatistics and data analysis allows her to critically evaluate healthcare interventions and contribute to policy changes. As Chair of the Research Ethics Board at Mount Sinai Hospital, she has extensive experience in research ethics, protocol development, and regulatory compliance, ensuring the integrity of clinical studies. Dr. Shah is also skilled in grant writing, peer-reviewed publishing, and mentoring young researchers, fostering innovation in pediatric research. Her ability to integrate clinical epidemiology with neonatology has led to impactful findings that have shaped neonatal care guidelines, demonstrating her strong analytical, ethical, and leadership capabilities in research.

Conclusion

Dr. Vibhuti Shah is an exceptionally strong candidate for the Best Researcher Award due to her outstanding contributions to neonatology, clinical epidemiology, and medical ethics research. While she has already earned international recognition, additional emphasis on research impact metrics and global collaboration could make her case even stronger.

Publications Top Noted

  1. Shah VK, Firmal P, Alam A, Ganguly D, Chattopadhyay S. (2020). Overview of immune response during SARS-CoV-2 infection: lessons from the past. Frontiers in Immunology, 11, 1949. https://pubmed.ncbi.nlm.nih.gov/32849654
    Cited by: 548

  2. Firmal P, Shah VK, Chattopadhyay S. (2020). Insight into TLR4-mediated immunomodulation in normal pregnancy and related disorders. Frontiers in Immunology, 11, 807.
    Cited by: 105

  3. Pant R, Firmal P, Shah VK, Alam A, Chattopadhyay S. (2021). Epigenetic regulation of adipogenesis in development of metabolic syndrome. Frontiers in Cell and Developmental Biology, 8, 619888.
    Cited by: 52

  4. Choksi A, Parulekar A, Pant R, Shah VK, Nimma R, Firmal P, Singh S, et al. (2021). Tumor suppressor SMAR1 regulates PKM alternative splicing by HDAC6-mediated deacetylation of PTBP1. Cancer & Metabolism, 9, 1-17.
    Cited by: 23

  5. Alam A, Taye N, Patel S, Thube M, Mullick J, Shah VK, Pant R, et al. (2019). SMAR1 favors immunosurveillance of cancer cells by modulating calnexin and MHC I expression. Neoplasia, 21(10), 945-962.
    Cited by: 19

  6. Firmal P, Shah VK, Pant R, Chattopadhyay S. (2022). RING finger protein TOPORS modulates the expression of tumor suppressor SMAR1 in colorectal cancer via the TLR4‐TRIF pathway. Molecular Oncology, 16(7), 1523-1540.
    Cited by: 6

  7. Pant R, Alam A, Choksi A, Shah VK, Firmal P, Chattopadhyay S. (2021). Chromatin remodeling protein SMAR1 regulates adipogenesis by modulating the expression of PPARγ. Biochimica et Biophysica Acta (BBA) – Molecular and Cell Biology of Lipids.
    Cited by: 3

  8. Sharma A, Garg S, Shah V, Agrawal P, Lohan P. (2015). Basics of design: lessons from walled city of Jaipur.
    Cited by: 2

Deniz Esin Tekcan Sanli | Medicine and Dentistry | Best Researcher Award

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Assoc. Prof. Dr. Deniz Esin Tekcan Sanli | Medicine and Dentistry | Best Researcher Award

Faculty Member at Gaziantep University, Faculty of Medicine, Turkey

Assoc. Prof. Dr. Deniz Esin Tekcan Şanlı is a distinguished radiologist and researcher specializing in breast imaging, oncological radiology, and artificial intelligence applications in medical diagnostics. Currently serving at Gaziantep University, she holds a European Diploma in Radiology and multiple academic certifications, reflecting her expertise. With a strong research portfolio, she has published extensively in high-impact journals, including the New England Journal of Medicine and Academic Radiology. Her work focuses on improving diagnostic accuracy in breast cancer and exploring advanced imaging techniques. In addition to her medical background, she holds a master’s degree in breast imaging technologies and an associate degree in English translation, showcasing her interdisciplinary skills. Recognized for her contributions to radiology, she continues to advance the field through international collaborations and innovative research. Her commitment to academic excellence and clinical advancements makes her a strong candidate for prestigious research awards in medical science.

Professional Profile

Education

Assoc. Prof. Dr. Deniz Esin Tekcan Şanlı has a comprehensive educational background in medicine and radiology. She earned her medical degree from Ege University Faculty of Medicine in 2010, followed by a specialization in radiology at Istanbul University Cerrahpaşa Faculty of Medicine, where she conducted research on advanced imaging techniques for Crohn’s disease. She further specialized in breast imaging, completing a thesis-based master’s degree at Acıbadem Mehmet Ali Aydınlar University’s Senology Research Institute, focusing on tumor size correlation in breast cancer. In addition to her medical education, she pursued an associate degree in Applied English and Translation at Istanbul Arel University, demonstrating her interdisciplinary expertise. Her academic achievements are complemented by prestigious certifications, including the European Diploma in Radiology (EDIR) and the Turkish Society of Radiology Proficiency Test (TRD), highlighting her commitment to continuous learning and excellence in radiology.

Professional Experience

Assoc. Prof. Dr. Deniz Esin Tekcan Şanlı has extensive professional experience in radiology, medical education, and research. She currently serves as an Associate Professor at Gaziantep University, Faculty of Medicine, Department of Radiology, where she contributes to clinical practice, academic teaching, and advanced imaging research. Previously, she worked as an Assistant Professor at both Gaziantep University and Istanbul Rumeli University, gaining experience in medical education and training future healthcare professionals. Her career began as a Research Assistant at Istanbul University Cerrahpaşa Faculty of Medicine, where she conducted specialized research in diagnostic imaging. Over the years, she has earned several professional certifications, including the European Diploma in Radiology (EDIR) and the Interventional Radiology Diploma (TGRD), demonstrating her expertise in both diagnostic and interventional radiology. With a strong publication record and contributions to international collaborations, she continues to make significant advancements in the field of radiology and medical imaging.

Research Interest

Assoc. Prof. Dr. Deniz Esin Tekcan Şanlı’s research interests focus on radiology, breast imaging, oncological diagnostics, and artificial intelligence applications in medical imaging. She is particularly dedicated to improving diagnostic accuracy in breast cancer, with research exploring the correlation between radiological and pathological tumor sizes based on molecular subtypes. Her work also extends to advanced imaging techniques for gastrointestinal diseases, as demonstrated by her studies on Crohn’s disease diagnostics. Additionally, she investigates the role of artificial intelligence in early breast cancer detection, aiming to enhance radiological efficiency and reduce unnecessary biopsies. Her interdisciplinary approach, combining medical imaging with AI and statistical modeling, contributes to innovations in diagnostic radiology. Through international collaborations and high-impact publications, she continues to advance the field, striving to improve precision medicine and patient outcomes in oncology and radiology. Her research plays a vital role in shaping future imaging techniques and clinical practices.

Award and Honor

Assoc. Prof. Dr. Deniz Esin Tekcan Şanlı has received several prestigious awards and honors in recognition of her contributions to radiology and medical research. She holds the European Diploma in Radiology (EDIR), a distinguished certification granted by the European Society of Radiology, highlighting her expertise in diagnostic imaging. She also earned the Interventional Radiology Diploma (TGRD) after successfully completing rigorous training and examinations in Turkey. Additionally, she was awarded the Turkish Society of Radiology Proficiency Test (TRD) Certification, further demonstrating her excellence in the field. Her research has been published in high-impact journals such as the New England Journal of Medicine and Academic Radiology, earning her recognition in the global medical community. Through her dedication to advancing radiology, she continues to contribute to innovative imaging techniques and cancer diagnostics, positioning herself as a leading researcher in her field. Her achievements reflect her commitment to academic and clinical excellence.

Research Skill

Assoc. Prof. Dr. Deniz Esin Tekcan Şanlı’s research interests focus on radiology, breast imaging, oncological diagnostics, and artificial intelligence applications in medical imaging. She is particularly dedicated to improving diagnostic accuracy in breast cancer, with research exploring the correlation between radiological and pathological tumor sizes based on molecular subtypes. Her work also extends to advanced imaging techniques for gastrointestinal diseases, as demonstrated by her studies on Crohn’s disease diagnostics. Additionally, she investigates the role of artificial intelligence in early breast cancer detection, aiming to enhance radiological efficiency and reduce unnecessary biopsies. Her interdisciplinary approach, combining medical imaging with AI and statistical modeling, contributes to innovations in diagnostic radiology. Through international collaborations and high-impact publications, she continues to advance the field, striving to improve precision medicine and patient outcomes in oncology and radiology. Her research plays a vital role in shaping future imaging techniques and clinical practices.

Conclusion

Dr. Deniz Esin Tekcan Şanlı is a highly qualified researcher with significant contributions to radiology and oncology, making her a strong candidate for the Best Researcher Award. Her extensive publication record, academic achievements, and interdisciplinary expertise stand out. Strengthening her profile with more leadership roles in major research projects, grant acquisition, and innovation-related contributions would further solidify her candidacy.

Publications Top Noted

  • Gastrointestinal Kaposi’s Sarcoma
    Authors: Deniz Esin Tekcan Şanlı, Şafak Kızıltaş
    Year: 2023
    Citation: New England Journal of Medicine (NEJM), 2023. https://www.nejm.org/doi/pdf/10.1056/NEJMicm2102502

  • Correlation of Radiological and Pathological Tumor Sizes in Breast Cancer Based on Molecular Subtypes and Accompanying DCIS
    Authors: Deniz Esin Tekcan Şanlı, Gül Esen Icten, et al.
    Year: 2025
    Citation: Academic Radiology, https://doi.org/10.1016/j.acra.2025.01.037

  • Artificial Intelligence for Early Detection of Breast Cancer
    Authors: TEKCAN ŞANLI DENİZ ESİN, ALAKUŞ HAKAN
    Year: 2024
    Citation: Die Onkologie, DOI: 10.1007/s00761-024-01654-4

  • Prognostic Factors Affecting Survival of Patients With Single Primary Breast Cancer vs Patients With Multiple Primary Cancers in Lifetime, One of Which is Breast Cancer
    Authors: Sanli AN, Tekcan Sanli DE, Altundag MK, Aydogan F
    Year: 2024
    Citation: Am Surg., 2024; 90(11):2745-2755. DOI: 10.1177/00031348241248695

  • Should the Breast Cancer Staging System be Revised?
    Authors: Sanli AN, Tekcan Sanli DE, Aydogan F, Altundag MK
    Year: 2024
    Citation: Am Surg., 2024; 90(5):1066-1073. DOI: 10.1177/00031348231223074

  • Is There a Survival Difference Between Male and Female Breast Cancer Subtypes According to the Prognostic Staging System? A Population-Based Cohort Study
    Authors: Sanli AN, Tekcan Sanli DE, Altundag MK, Aydogan F
    Year: 2024
    Citation: Am Surg., 2024; 90(4):788-799. DOI: 10.1177/00031348231212588

  • Secretory Carcinoma of Breast: A Population-Based Study
    Authors: Sanli AN, Tekcan Sanli DE, Altundag MK, Aydogan F
    Year: 2024
    Citation: Am Surg., 2024; 90(2):252-260. DOI: 10.1177/00031348231199174

  • Linear Regression Modeling-Based Scoring System to Reduce Benign Breast Biopsies Using Multi-Parametric US with Color Doppler and SWE
    Authors: Erkin Arıbal, Burcu Özdemir, Onur Buğdaycı, Gökhan Ertaş, Deniz E T Şanlı, Handan Kaya
    Year: 2023
    Citation: Academic Radiology, https://doi.org/10.1016/j.acra.2023.01.024

  • Could DTI Unlock the Mystery of Subjective Tinnitus?
    Authors: YILMAZ EREN, YILDIRIM DÜZGÜN, TEKCAN ŞANLI DENİZ ESİN, ELPEN KARYEMEZ FATMA PINAR, et al.
    Year: 2024
    Citation: Indian Journal of Otolaryngology and Head & Neck Surgery, 76, 5277-5284. DOI: 10.1007/s12070-024-04963-7

  • Comparison of Magnetic Seed and RFID Methods in the Localization of Non-Palpable Breast Lesions
    Authors: ŞANLI AHMET NECATİ, TEKCAN ŞANLI DENİZ ESİN, et al.
    Year: 2024
    Citation: Journal of Cancer Research and Therapeutics, 20(5), 1435-1439. DOI: 10.4103/jcrt.jcrt_2253_22

  • CT-Guided Percutaneous Biopsies in the Abdomen and Pelvis
    Authors: TEKCAN ŞANLI DENİZ ESİN, WEBER JEAN PHILIP, MAINTZ DAVID
    Year: 2024
    Citation: Die Onkologie, 30, 875-876. DOI: 10.1007/s00761-024-01576-1

  • Normative Reference Values of Major Thoracic Arterial Vasculature in Turkey
    Authors: Deniz Esin Tekcan Şanlı, Ahmet Necati Şanlı, Onur Yıldırım, Ergin Erginöz, Düzgün Yıldırım
    Year: 2023
    Citation: Northern Clinics of Istanbul, DOI: 10.14744/nci.2021.03206

  • Evaluating Portal Vein and Right Colon Venous Vascular Anatomy and Its Variations via Multidetector CT in Healthy Individuals
    Authors: Uludag, S.S., Kurt, S.A., Sanli, D.E.T. et al.
    Year: 2022
    Citation: Indian Journal of Surgery, 84, 1292–1302. DOI: 10.1007/s12262-022-03583-1

  • CT Findings of the Massive Air Embolism in a Case with Thoracic Gunshot Wound: A Special Case Report as if a Whole Body Pneumo-Angiography was Performed
    Authors: Zeynalova, Amalya; Sanli, Deniz E.T.; Agar, Emir H.; Yildirim, Duzgun; Tuzuner, Filiz
    Year: 2022
    Citation: Current Medical Imaging, 18(11), 1253-1256. DOI: 10.2174/0929866529666220426121222

  • A New Imaging Sign in COVID-19 Pneumonia: Vascular Changes and Their Correlation with Clinical Severity of the Disease
    Authors: Tekcan Şanlı DE, Yıldırım D.
    Year: 2020
    Citation: Diagnostic and Interventional Radiology, DOI: 10.5152/dir.2020.20346

Manu Bansal | Economics | Best Researcher Award

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Dr. Manu Bansal | Economics | Best Researcher Award

Assistant Professor at IIM Jammu, India

Dr. Manu Bansal is an Assistant Professor at the Indian Institute of Management (IIM) Jammu, specializing in Agricultural Economics, Commodity Markets, and Rural Infrastructure. With a PhD from IIM Bangalore, his research explores critical economic issues, including agricultural exports, rural development, and intellectual property rights. He has published in reputed ABDC B-ranked journals, demonstrating strong academic contributions, and has actively engaged in working papers targeting high-impact publications. Alongside research, he has extensive teaching experience across MBA and undergraduate programs, receiving consistently high student feedback. His expertise extends beyond academia, with prior roles in business development at NCDEX e Markets Ltd. and research positions at IIM Bangalore. While he exhibits strong research potential, expanding publications in top-tier journals and securing external research funding could further enhance his academic standing.

Professional Profile

Education

Dr. Manu Bansal holds a PhD in Economics and Social Science from the Indian Institute of Management (IIM) Bangalore, where he focused on Indian agricultural exports. Prior to that, he completed his Post Graduate Diploma in Management (PGDM) with a specialization in Rural Management from Xavier Institute of Management, Bhubaneswar. He earned his Bachelor of Technology (B.Tech) degree in Electronics and Communication from Graphic Era Institute of Technology. His diverse educational background, spanning economics, business, and technology, provides him with a multidisciplinary perspective in his research and teaching.

Professional Experience

Dr. Manu Bansal has a diverse professional background, combining academic excellence with industry experience. He is currently an Assistant Professor in Economics and Business Environment at the Indian Institute of Management (IIM) Jammu, where he has been teaching since November 2021. Before joining IIM Jammu, he briefly served as an Assistant Professor in Economics and International Business at Lal Bahadur Shastri Institute of Management and as a Visiting Professor at Graphic Era University. His research expertise was further honed during his tenure as a Project Associate at IIM Bangalore. In addition to academia, he has industry experience as an Assistant Manager in Business Development at NCDEX e Markets Ltd., where he was involved in key market development initiatives. His combined experience in academia and industry enriches his research and teaching, bridging theoretical knowledge with practical applications.

Research Interest

Dr. Manu Bansal’s research interests lie in the fields of Agricultural Economics, Agricultural Commodity Markets, Intellectual Property Rights, and Rural Infrastructure. His work primarily explores the economic dynamics of agricultural exports, the impact of rural development on market access, and the role of policy interventions in enhancing agricultural trade. He is particularly interested in analyzing how factors such as geographical indications, rural road expansion, and commodity market structures influence economic growth and development. Through his research, he aims to provide insights that can guide policy formulation, improve market efficiency, and support sustainable agricultural practices. His interdisciplinary approach combines economics, business, and public policy to address real-world challenges in the agricultural sector.

Award and Honor

There is no specific mention of awards and honors in the provided information for Dr. Manu Bansal. However, his achievements in academia, including publications in reputed journals, high student feedback for teaching, and contributions to economic policy discussions, highlight his excellence in research and education. His recognition in the field of Agricultural Economics and Commodity Markets, along with his engagement in policy-oriented research, positions him as a promising scholar. Securing formal awards, research grants, or fellowships in the future would further enhance his academic and professional recognition.

Conclusion

Based on his strong research output, interdisciplinary approach, and impactful publications, Manu Bansal is a strong candidate for the Best Researcher Award. However, focusing on publishing in higher-impact journals, increasing research citations, and securing funding could further solidify his position as a leading researcher in his field.

Publications Top Noted

Title: Effect of Rural Roads on Migration Patterns in India: An Instrumental Variable Approach
Authors: Manu Bansal, A. Naresh
Year: 2021
Citation: Bansal, M., & Naresh, A. (2021). Effect of Rural Roads on Migration Patterns in India: An Instrumental Variable Approach. Empirical Economics Letters, 20(6), 1047-1056.