Subrata Kar | Clinical Trials | Best Researcher Award

Published on by Top Pharmaceutical

Dr. Subrata Kar | Clinical Trials | Best Researcher Award

Subrata Kar at Virginia Commonwealth University | United States

Dr. Subrata Kar is a distinguished interventional cardiologist and academic leader currently serving as Associate Professor of Medicine at Virginia Commonwealth University and Interventional Cardiologist at the Veterans Affairs Medical Center in Richmond, Virginia. With specialization in structural heart disease, peripheral vascular intervention, and advanced heart failure and transplant cardiology, Dr. Kar has held leadership roles at multiple prestigious institutions including UCLA, Texas Tech University, and NYC Health + Hospitals. He has been instrumental in launching advanced cardiology programs, mentoring trainees, and leading clinical and academic departments. His work reflects a deep commitment to patient care, education, and cardiovascular innovation.

Publication Profile 

Orcid

Education 

Dr. Kar earned his Doctor of Osteopathic Medicine from the New York College of Osteopathic Medicine, where he also completed a Neuroanatomy Fellowship. He holds dual bachelor’s degrees in Bio-Mathematics and Biology from Rutgers University. His post-graduate training includes an internal medicine residency at the Cleveland Clinic, followed by a cardiovascular medicine fellowship at the University of Missouri-Columbia. He further specialized with interventional cardiology fellowships at Stony Brook University and UCLA, where he also trained in structural and congenital heart disease. Additionally, he completed an advanced heart failure and transplant cardiology fellowship at NYU Langone Medical Center.

Experience 

Dr. Kar has served in diverse clinical, academic, and leadership roles across major medical institutions in the U.S. Currently an Interventional Cardiologist and Advanced Heart Failure specialist at VCU/VA Medical Center, he previously held senior positions at Middletown Medical, NYC Health + Hospitals, Texas Tech University, and UCLA. His roles have included Division Chief, Director of Interventional Cardiology, and Chair of Fellowship Selection Committees. He has also worked as a hospitalist at the Cleveland Clinic and a clinical instructor at UCLA. His experience reflects comprehensive expertise in interventional cardiology, structural heart interventions, and academic program development.

Awards and Honors 

Dr. Kar has received recognition for both clinical excellence and academic leadership. At UCLA and Texas Tech, he was instrumental in program development and fellowship training, earning him leadership roles such as Chair of the Academic Cardiology Section of the American College of Cardiology (Texas Chapter). He has been invited to present at national cardiology conferences and served on key committees evaluating trainee competency. His pioneering clinical program launches, particularly in interventional cardiology at Coney Island Hospital, highlight his innovation and impact. His mentorship and contributions to cardiology education have also been widely commended by academic and hospital leadership.

Research Focus 

Dr. Kar’s research centers on structural heart disease, adult congenital heart defects, interventional cardiology techniques, and advanced heart failure therapies. He has explored minimally invasive cardiovascular interventions, radiation reduction in catheterization procedures (KAR RAD study), and cardiac CT applications. He has presented nationally on outcomes in percutaneous valve procedures and congenital heart disease management. His work also includes developing safety protocols and training programs in cardiac catheterization labs. Through his research, he integrates clinical innovation with academic insight, advancing cardiovascular treatment and education, especially in underserved populations. His mentoring of trainees in research further amplifies his academic reach.

Publication Top Notes

Application and Outcomes of Minimal-Dose Versus Standard-Dose Radiation in Peripheral Endovascular Intervention (KAR Endovascular Study)

Kelly Yoo | Precision Medicine | Best Scholar Award

Published on by Top Pharmaceutical

Dr. Kelly Yoo | Precision Medicine | Best Scholar Award

Kelly Yoo at Stanford University | United States

Dr. Kelly H. Yoo is a physician-scientist specializing in neurosurgery and neuro-oncology, currently conducting postdoctoral research at Stanford University. Her work bridges translational neuroscience, radiosurgery, and artificial intelligence in clinical applications. She has authored numerous peer-reviewed articles and case studies on stereotactic radiosurgery, spinal disorders, and brain metastases. Dr. Yoo has received multiple international awards and fellowships for her academic excellence and research leadership. As a committed member of professional organizations and advisory boards, she contributes to global health, clinical innovation, and medical education. Her research efforts aim to improve patient outcomes through technology-enhanced, precision-targeted therapies.

Publication Profile 

Scopus

Education 

Dr. Kelly Yoo earned her International Baccalaureate Diploma and graduated. She later obtained her MD with top distinction and completed her Doctorate (Dr. med., magna cum laude) from Heidelberg University School of Medicine. Her academic path included rigorous clinical, research, and methodological training. She completed multiple advanced certifications, including GCP, IRB, and Clinical Trial Investigator courses. She studied Fundamental Neuroscience for Neuroimaging at Johns Hopkins University and holds licenses and fellowships from institutions in Germany and the U.S., further enhancing her global medical and scientific competency.

Experience 

Dr. Yoo currently serves as a postdoctoral fellow at Stanford University, focusing on clinical and translational research in neurosurgery. She completed a clinician-scientist residency track in Baden-Württemberg and has worked across Europe and North America in academic medical centers. She is active in multiple professional societies, including AANS, CNS, and EANO. Dr. Yoo has held leadership roles in Stanford’s postdoc community and initiated several mentorship and international programs. Her academic career includes significant contributions to radiosurgical research and spinal navigation, leveraging both clinical experience and data-driven methodologies to explore innovative therapeutic solutions.

Awards and Honors 

Dr. Kelly Yoo has received numerous prestigious accolades, including the SPARK at Stanford Grant Award, Wu Tsai Neurosciences Interdisciplinary Fellowship, and multiple scholarships from the German Academic International Network (GAIN). She was also awarded the E-Fellows Gifted Education Scholarship and earned top academic distinctions from Heidelberg University and the International Baccalaureate program. She has consistently ranked in the top percentile across educational stages and received first-place honors in international mathematics competitions. Her recognitions reflect a long-standing commitment to academic excellence, scientific innovation, and leadership in neuroscience, medicine, and global health initiatives.

Research Focus 

Dr. Yoo’s research primarily centers on stereotactic radiosurgery, neuro-oncology, spinal disorders, and the integration of AI and neuroimaging into surgical planning and treatment. She investigates the clinical applications of advanced radiological techniques in treating recurrent and metastatic brain and spinal tumors. Her recent work explores synergistic effects between radiosurgery and immunotherapy and the cost-effectiveness of neurosurgical interventions. She also contributes to studies on spinal navigation, robotic-assisted surgery, and PET/MRI-guided interventions. Her interdisciplinary focus aims to enhance precision medicine and outcome prediction models in neurosurgery by blending clinical insight with computational innovation.

Publication Top Notes

Suspected and surgically managed cauda equina syndrome nationwide: epidemiological trends and socioeconomic factors influencing access to care

Trends in Sacroiliac Joint Fusion Costs and Utilization in the Privately Insured Population

Song Chian | Neuropharmacology | Best Researcher Award

Published on by Top Pharmaceutical

Prof. Song Chian | Neuropharmacology | Best Researcher Award

Professor at Zhejiang police college | China

Prof. Song Chian is the Director of the Forensic Physical and Chemical Teaching and Research Section at the Criminal Science and Technology College of Zhejiang Police College. With a specialized focus in drug toxicology, Prof. Song has significantly contributed to forensic science education and research. Over the past five years, he has led and participated in multiple national and provincial research initiatives, producing over 20 academic publications. His work explores the mechanisms of drug addiction and its implications in forensic toxicology. Prof. Song remains a key academic leader, mentoring future forensic professionals and contributing to policy and practical advancements in the field.

Publication Profile  

Scopus

Education 

Prof. Song Chian received his academic training in forensic science and toxicology, laying a strong foundation for his specialized work in forensic drug analysis. He completed his undergraduate and graduate studies in criminal science and technology, followed by advanced training in toxicology with a focus on the physiological and biochemical mechanisms of drug addiction. Throughout his academic career, he has actively participated in continuing education programs, academic workshops, and research methodology training both nationally and provincially. His education has equipped him with the knowledge and analytical skills essential for high-level research and teaching in forensic toxicology.

Experience 

Prof. Song Chian currently serves as Director of the Forensic Physical and Chemical Teaching and Research Section at Zhejiang Police College. Over the years, he has accumulated extensive experience in forensic toxicology, both in academia and applied research. He has served as Principal Investigator for projects funded by the Zhejiang Provincial Basic Public Welfare Research Program and has collaborated on major national initiatives. His expertise spans forensic drug detection, mechanisms of addiction, and analytical techniques in toxicology. In his academic role, he has mentored students, developed specialized curricula, and published widely in the field, shaping the next generation of forensic scientists.

Awards and Honors 

Prof. Song Chian has been recognized for his contributions to forensic science research and education. Although specific awards are not listed, his leadership roles and funding successes—such as being Principal Investigator for major research projects funded by the Zhejiang Provincial Basic Public Welfare Research Program—demonstrate academic and professional recognition. His selection to contribute to national-level special projects and National Natural Science Foundation initiatives further reflects his credibility and standing in the research community. His continuous publication record and position as director within Zhejiang Police College indicate high-level institutional trust and respect within the field of forensic toxicology.

Research Focus 

Prof. Song Chian’s primary research focus lies in the toxicology of drugs, with a particular emphasis on the mechanisms of drug addiction. His work aims to uncover the physiological and chemical pathways that underpin addictive behaviors and drug-induced toxicity. By integrating forensic science with pharmacology, Prof. Song’s research supports both legal investigations and public health policies. His approach combines analytical chemistry techniques with behavioral science models to understand drug interactions in the human body. Through his projects and academic publications, he contributes to improved drug detection methods, toxicological risk assessment, and the development of prevention strategies for substance abuse.

Publication Top Notes

  • Fentanyl Induces Novel Conditioned Place Preference in Adult Zebrafish, Disrupts Neurotransmitter Homeostasis, and Triggers Behavioral Changes

Dhrubajyoti Ghosh | Clinical Trials | Best Researcher Award

Published on by Top Pharmaceutical

Dr. Dhrubajyoti Ghosh | Clinical Trials | Best Researcher Award

Postdoctoral Research Scholar at Duke University Hospital | United States

Dr. Dhrubajyoti Ghosh is a Postdoctoral Research Associate at the Department of Biostatistics and Bioinformatics, Duke University. His academic and research trajectory spans advanced statistical methodologies with strong applications in data science, biostatistics, longitudinal analysis, and time series modeling. Dr. Ghosh has contributed to diverse interdisciplinary projects, including Alzheimer’s disease, air quality, stock markets, and social media analytics. He has published in top-tier journals and collaborated on multiple funded projects, combining theory with real-world biomedical and environmental challenges. His work exemplifies a balanced integration of innovative statistical theory, computational tools, and impactful applied research.

Publication Profile 

Orcid

Education 

Dr. Ghosh earned his Ph.D. in Statistics from Washington University in St. Louis , where his thesis focused on time series analysis, uncertainty quantification, and applications in data science. He was advised by Professors Soumendra Lahiri and Tucker McElroy. Before that, he completed his M.Stat.  and B.Stat.  from the prestigious Indian Statistical Institute, Kolkata. His academic foundation has provided him with a rigorous grounding in statistical theory, methods, and real-world data analytics, enabling his impactful contributions in both academic and interdisciplinary research areas, including clinical trials and predictive modeling.

Experience 

Dr. Ghosh has served as a Postdoctoral Research Associate at Duke University, collaborating on biostatistical projects under Prof. Sheng Luo. , he held teaching assistant roles at Washington University in St. Louis and North Carolina State University. He also worked as a Research Assistant at the Laboratory for Analytic Sciences. His experience spans statistical software development, teaching undergraduate and graduate statistics, and collaborative research in longitudinal modeling, neurodegenerative diseases, and social media analysis, demonstrating a blend of strong theoretical foundation and practical implementation in applied statistics.

Awards and Honors 

Dr. Ghosh has received multiple recognitions throughout his academic career, including selection for student paper competitions at the International Indian Statistical Association (IISA) Conference. His work has been featured in renowned conferences such as JSM, IISA, LAS Symposium, and SDSS. He has contributed to prominent journals and served as a key collaborator in major interdisciplinary research projects, especially in medical imaging and neurodegenerative disease studies. His publications in high-impact journals, including Journal of Alzheimer’s Disease and Statistics in Biopharmaceutical Research, underline his growing reputation as an innovative and impactful researcher in modern statistical applications.

Research Focus 

Dr. Ghosh’s research focuses on advanced statistical methodologies, including time series analysis, non-parametric methods for longitudinal clinical trials, ensemble survival analysis, and predictive modeling using biomarkers. His contributions extend to social media analytics, air quality extremes, and causal inference in neuroscience. He has developed statistical tools for model validation, goodness-of-fit, and has proposed novel testing strategies for clinical applications. His interdisciplinary work involves statistical consulting in medical imaging, Alzheimer’s disease progression, and machine learning integration. His research addresses key methodological gaps in healthcare data science, striving for robust, interpretable, and scalable statistical solutions in public health.

Publication Top Notes

  • THANOS: A Predictive Model of Electoral Campaigns Using Twitter Data and Opinion Polls

  • A Non-Parametric U-Statistic Testing Approach for Multi-Arm Clinical Trials with Multivariate Longitudinal Data

  • Demographic Distribution Matching Between Real World and Virtual Phantom Population

  • XCAT 3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans

  • Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson’s Disease

  • Polyspectral Mean Based Time Series Clustering of Indian Stock Market

Gheorghe Fundueanu | Drug Delivery Systems | Best Researcher Award

Published on by Top Pharmaceutical

Dr. Gheorghe Fundueanu | Drug Delivery Systems | Best Researcher Award

Scientist at Institutul de chimie macromoleculara “Petru Poni” | Romania

Dr. Gheorghe Fundueanu is a senior researcher and Head of the Department of Natural Polymers, Bioactive and Biocompatible Materials at the “Petru Poni” Institute of Macromolecular Chemistry, Romanian Academy, Iassy, Romania. He is a recognized expert in polymer science, focusing on the design of smart polymeric materials for biomedical use. With decades of experience, his work integrates drug delivery systems, biomimetic hydrogels, and polymer-based therapeutics. His multidisciplinary approach includes in vitro and in vivo evaluations, advancing translational biomedical research. He has significantly contributed to the development of pharmaceutical formulations and has earned national and international recognition for his impactful scientific contributions.

Publication Profile 

Google Scholar

Education 

Dr. Gheorghe Fundueanu obtained his M.Sc. in Chemistry with a focus on macromolecular compounds from “Al. I. Cuza” University, Iassy, Romania. He pursued his Ph.D. in Chemistry at the “Petru Poni” Institute of Macromolecular Chemistry, Romanian Academy, where he specialized in polymeric drug delivery systems and hydrogel design. His academic background provided a strong foundation in both the theoretical and practical aspects of macromolecular chemistry and biomedical applications. Dr. Fundueanu has further enriched his expertise through postdoctoral fellowships and collaborative research programs across Europe, focusing on biomaterials, pharmacokinetics, and advanced polymer synthesis for medical applications.

Experience 

Dr. Fundueanu has held leading roles in polymer research. As Head of the Department of Natural Polymers, Bioactive and Biocompatible Materials at the “Petru Poni” Institute, he has supervised numerous national and European research projects. His expertise spans polymer synthesis, hydrogel engineering, drug delivery systems, and biomedical testing. He has collaborated extensively with pharmaceutical and academic institutions, contributing to translational research in bioactive materials. His interdisciplinary work involves analytical chemistry, cell culture methodologies, and regulatory aspects of biocompatibility testing. Dr. Fundueanu has also mentored students and postdoctoral fellows in advanced materials science.

Awards and Honors 

Dr. Gheorghe Fundueanu has received multiple honors for his significant contributions to macromolecular chemistry and biomedical applications. He was awarded the “Gheorghe Spacu” Prize by the Romanian Academy and recognized by the Ministry of Education and Research for excellence in scientific innovation. He has also received accolades at national conferences and international symposia for his work in polymer-based drug delivery systems. His research has been repeatedly supported by prestigious European funding programs. In addition to his awards, Dr. Fundueanu has served as a peer reviewer for high-impact journals and is a respected figure in Romania’s scientific and academic community.

Research Focus 

Dr. Fundueanu’s research primarily targets the synthesis and characterization of smart polymeric materials tailored for biomedical applications. His work emphasizes drug delivery systems based on natural and synthetic polymers, with a special interest in biomimetic hydrogels that mimic extracellular matrices. He investigates the in vitro and in vivo behavior of these materials to evaluate their biocompatibility and therapeutic performance. His studies also include protocols for pharmaceutical analysis in biological media, ensuring precision in dosage and release kinetics. By bridging polymer science with pharmacological applications, his research supports innovations in personalized medicine, regenerative therapies, and advanced drug formulations.

Publication Top Notes

Physico-chemical characterization of Ca-alginate microparticles produced with different methods
Cited by: 383 | Year: 1999

Preparation and characterization of pH-and temperature-sensitive pullulan microspheres for controlled release of drugs
G Fundueanu, M Constantin, P Ascenzi
Cited by: 222 | Year: 2008

Removal of anionic dyes from aqueous solutions by an ion-exchanger based on pullulan microspheres
Cited by: 152 | Year: 2013

Preparation and characterization of Ca-alginate microspheres by a new emulsification method
Cited by: 135 | Year: 1998

Poly(N-isopropylacrylamide-co-acrylamide) cross-linked thermoresponsive microspheres obtained from preformed polymers: influence of the physico-chemical characteristics
Cited by: 125 | Year: 2009

Lower critical solution temperature versus volume phase transition temperature in thermoresponsive drug delivery systems
Cited by: 123 | Year: 2011

Preparation and characterisation of poly(vinyl alcohol)/cyclodextrin microspheres as matrix for inclusion and separation of drugs
Cited by: 100 | Year: 2004

Preparation and characterization of starch/cyclodextrin bioadhesive microspheres as platform for nasal administration of Gabexate Mesylate (Foy) in allergic rhinitis treatment
Cited by: 98 | Year: 2004

Dual cross-linked chitosan/PVA hydrogels containing silver nanoparticles with antimicrobial properties
Cited by: 97 | Year: 2021

Cellulose acetate butyrate microcapsules containing dextran ion-exchange resins as self-propelled drug release system
Cited by: 94 | Year: 2005

Poly(N-isopropylacrylamide-co-methacrylic acid) pH/thermo-responsive porous hydrogels as self-regulated drug delivery system
Cited by: 91 | Year: 2014

Smart composite materials based on chitosan microspheres embedded in thermosensitive hydrogel for controlled delivery of drugs
Cited by: 89 | Year: 2017

Novel biodegradable flocculanting agents based on pullulan
Cited by: 81 | Year: 2010

Conclusion

Dr. Gheorghe Fundueanu’s distinguished career, groundbreaking contributions to polymeric biomaterials and drug delivery systems, and his leadership in biomedical research position him as a strong and deserving nominee for the Best Researcher Award. His work not only advances scientific understanding but also holds immense promise for future therapeutic applications.

Rafita Haque | Cardiovascular Pharmacology | Best Researcher Award

Published on by Top Pharmaceutical

Ms. Rafita Haque | Cardiovascular Pharmacology | Best Researcher Award

PhD Student at Florida International University | United States

Ms. Rafita Haque is a dedicated PhD candidate in Computer and Electrical Engineering at Florida International University, USA. With a strong academic and research background in AI, biomedical sensors, and data security, she is passionate about advancing digital health solutions. Her teaching and research experiences span universities in Bangladesh and the U.S., with significant industry exposure in software quality assurance. She has authored several indexed publications, received international awards, and holds active research interests in cardiovascular health monitoring using signal analysis and intelligent systems. Ms. Haque’s career is a blend of academic excellence, innovative research, and practical engineering application.

Publication Profile 

Google Scholar

Orcid

Education 

Ms. Haque is pursuing a PhD in Computer and Electrical Engineering at Florida International University, Miami, with a research focus on AI, biomedical devices, and cardiovascular health management. She holds a Master’s degree in Software Engineering from Daffodil International University, where her thesis explored C2C information quality in Facebook-based purchase decisions. She completed her B.Sc. in Computer Science and Engineering from Gono Bishwabidyalay, focusing on network security systems. Her academic training reflects a strong foundation in data analysis, security, and AI-driven healthcare technologies, supported by hands-on research and multiple technical certifications in networking and development.

Experience 

Ms. Rafita Haque has rich academic and industry experience. She served as a lecturer in Software Engineering at Daffodil International University and in Computer Science at the Asian University of Bangladesh, teaching core computing and system design courses. She also worked as an SQA Engineer at Data-Soft Systems and Cloud Production Ltd., where she tested and improved AML solutions for the banking and insurance sectors. Her work involved ASP.NET, MySQL, Python, and NoSQL. She’s recognized for developing secure network systems and cloud-based tools, blending teaching excellence with real-world software and systems engineering experience.

Awards  

Ms. Rafita Haque has earned multiple academic and professional honors. She received the Best Paper Award (IoT Track) at the 1st International Conference on Technology Innovation and Data Sciences (ICTIDS) in Malaysia, 2019. She also won the Best Project Award at Gono Bishwabidyalay’s Project Fair (2015) for her secure network system. Additionally, she presented her research at the Blockchain Olympiad Bangladesh (BCOLBD) in 2020. Her outstanding academic track and publication record in Scopus and Springer-indexed journals, alongside her active participation in international conferences, underscore her contributions to technology, cybersecurity, and healthcare innovation.

Research Focus 

Ms. Haque’s research interests include Artificial Intelligence (AI), Biomedical Sensors, Photoplethysmogram (PPG) signal analysis, data security, and cardiovascular health management systems. Her work integrates machine learning with optical and biomedical systems to create intelligent diagnostic tools. She is particularly focused on AI-based monitoring of cardiovascular conditions, secured health data exchange using blockchain, and real-time signal analysis. Her multidisciplinary expertise bridges computer science with healthcare innovation, emphasizing secure, smart systems that support precision medicine. Through cutting-edge publications and collaborative research, she aims to advance smart biomedical technologies and secure healthcare data infrastructures globally.

Publication Top Notes

Broken authentication and session management vulnerability: a case study of web application
Journal: International Journal of Simulation Systems, Science & Technology
Cited by: 48
Year: 2018

Blockchain-based information security of electronic medical records (EMR) in a healthcare communication system
Cited by: 36
Year: 2021

Integration of blockchain and remote database access protocol-based database
Cited by: 14
Year: 2020

Modeling the role of C2C information quality on purchase decision in Facebook
Cited by: 13
Year: 2018

A cloud of things (CoT) approach for monitoring product purchase and price hike
Cited by: 10
Year: 2021

Identification of construction era for Indian subcontinent ancient and heritage buildings by using deep learning
Cited by: 10
Year: 2020

Performance Analysis of Different Feature Detection Techniques for Modern and Old Buildings
Cited by: 9
Year: 2018

A study of Ajax template injection in web applications
Cited by: 9
Year: 2018

A Combined Model of Blockchain, Price Intelligence and IoT for Reducing the Corruption and Poverty
Cited by: 8
Year: 2018

Digital Certificate Forgery Prevention Using Blockchain Technology
Year: 2023

Deep long short-term memory (LSTM) network for continuous blood pressure monitoring
Year: 2025
Cited by: 1

An Ensemble-Based AI Approach for Continuous Blood Pressure Estimation in Health Monitoring Applications
Journal: Sensors
Year: 2025

Conclusion

Ms. Rafita Haque is a promising early-career researcher with significant accomplishments in AI, biomedical applications, and information security. Her interdisciplinary focus, hands-on industry experience, academic excellence, and publication record collectively position her as a strong candidate for the Research for Best Researcher Award. With further engagement in high-impact, independently led projects and global research forums, she is poised to emerge as a future leader in her field.