Ralph Keeney | Decision Analysis | Best Researcher Award

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Prof. Ralph Keeney | Decision Analysis | Best Researcher Award 

Prof. Ralph Keeney | Decision Analysis | Research Professor Emeritus at Duke University, United States

Prof. Ralph Keeney is a globally recognized authority in decision sciences, risk analysis, and systems management, whose work has significantly advanced decision-making methodologies and value-focused thinking. He earned his Ph.D. in Operations Research from the Massachusetts Institute of Technology, alongside an S.M. and E.E. in Electrical Engineering from MIT and a B.S. in Engineering from the University of California, Los Angeles. Prof. Keeney has held distinguished academic positions, including Research Professor Emeritus at Duke University’s Fuqua School of Business and Professor Emeritus of Industrial and Systems Engineering at the University of Southern California, with prior appointments at MIT, Boston University, and international research institutions. His professional experience spans both academia and consultancy, advising corporations and governmental agencies such as Hewlett-Packard, British Columbia Hydro, Pacific Gas and Electric, the U.S. Department of Energy, and the U.S. Environmental Protection Agency on complex multi-objective decision problems. His research interests focus on decision analysis, risk assessment, systems modeling, and the development of frameworks for making informed, value-based decisions in business, energy, environmental, and policy domains. Prof. Keeney’s research skills include quantitative modeling, multi-criteria decision analysis, risk evaluation, and stakeholder-driven decision design, demonstrated in his widely cited publications including Decisions with Multiple Objectives, Value-Focused Thinking, and Smart Choices. He has received numerous honors such as the Daniel Berg Award, Pioneer Award from the Society of Decision Professionals, Decision Analysis Publication Award, and election to the National Academy of Engineering, reflecting his impact on the field and society. Prof. Keeney continues to contribute to decision sciences through mentorship, professional society engagement, and interdisciplinary collaborations. His career exemplifies excellence in research, teaching, and applied problem-solving, establishing him as a thought leader whose work shapes strategic decisions globally and offers a foundation for future innovation in value-based decision-making.

Profile:  Google Scholar

Featured Publications

  1. Keeney, R. L., & Raiffa, H. (1993). Decisions with multiple objectives: Preferences and value trade-offs. Cambridge University Press. Cited 23,153

  2. Keeney, R. L. (1996). Value-focused thinking: A path to creative decisionmaking. Harvard University Press. Cited 5,884

  3. Fischhoff, B., & Keeney, R. L. (1981). Acceptable risk. Cambridge University Press. Cited 2,141

  4. Hammond, J. S., Keeney, R. L., & Raiffa, H. (2015). Smart choices: A practical guide to making better decisions. Harvard Business Review Press. Cited 1,971

  5. Keeney, R. L. (1999). The value of Internet commerce to the customer. Management Science, 45(4), 533–542. Cited 1,543

  6. Keeney, R. L. (1982). Decision analysis: An overview. Operations Research, 30(5), 803–838. Cited 1,262

  7. Hammond, J. S., Keeney, R. L., & Raiffa, H. (1998). The hidden traps in decision making. Harvard Business Review, 76(5), 47–58. Cited 1,085

 

Panagiotis Anagnostis | Endocrinology | Best Researcher Award

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Assist. Prof. Dr. Panagiotis Anagnostis | Endocrinology | Best Researcher Award 

Assist. Prof. Dr. Panagiotis Anagnostis | Endocrinology | Clinical Research Fellow at Aristotle University of Thessaloniki, Greece

Assist. Prof. Dr. Panagiotis Anagnostis is a distinguished endocrinologist and clinical researcher with an extensive background in internal medicine, reproductive endocrinology, diabetes, thyroid disorders, lipidology, and osteoporosis. He obtained his Ph.D. from the Medical School of Aristotle University of Thessaloniki, focusing on the prevalence and management of osteoporosis in hemophilic patients. Dr. Anagnostis has held several prestigious clinical and research positions, including post-doctoral research fellowships at St Mary’s Hospital, Imperial College London, and the West London Menopause and Premenstrual Syndrome Centre. Currently, he serves as an Assistant Professor of Internal Medicine at the Aristotle University of Thessaloniki, contributing to clinical practice, postgraduate teaching, and research leadership. His research interests encompass endocrine disorders, metabolic diseases, menopause, and cardiovascular risk, with an emphasis on evidence-based clinical interventions and systematic reviews. Dr. Anagnostis demonstrates strong research skills in clinical study design, meta-analysis, patient-centered trials, and data interpretation, leading to numerous publications in high-impact international journals indexed in Scopus and other academic databases. He actively participates in international collaborations and is a Fellow of the Royal Society for Public Health as well as a member of the Centre of Orthopedic and Regenerative Medicine Research (CORE). Over the course of his career, he has been recognized with multiple awards, including the Jens Sandahl Christansen Award, Henry Burger Award, and numerous national and international best study recognitions. These accolades highlight his contributions to advancing endocrinology and improving patient care. Dr. Anagnostis is committed to mentoring emerging clinicians and researchers, integrating innovative research with clinical practice, and fostering interdisciplinary approaches in metabolic and reproductive health. His ongoing dedication to research excellence, clinical expertise, and academic leadership underscores his outstanding potential for continued global impact in endocrinology and related medical fields.

Profile: Scopus

Featured Publications 

  1. Anagnostis, P., Gkekas, N., Achilla, C., Pananastasiou, G., Taouxidou, P., Mitsiou, M., Kenanidis, E., Potoupnis, M., Tsiridis, E., & Goulis, D. G. (2021). Type 2 Diabetes Mellitus is Associated with Increased Risk of Sarcopenia: A Systematic Review and Meta-analysis. Calcified Tissue International & Musculoskeletal Research. 45 citations.

  2. Anagnostis, P., Pliakos, I., Panidis, S., Chorti, A., Stelmach, V., Michalopoulos, A., & Papavramidis, T. S. (2021). Should total thyroidectomies be performed by high-volume endocrine surgeons? A cost-effectiveness analysis. Clinical Endocrinology Journal. 12 citations.

  3. Anagnostis, P., Paparodis, R. D., Bosdou, J. K., Bothou, C., Macut, D., Goulis, D. G., & Livadas, S. (2021). Risk of type 2 diabetes mellitus in polycystic ovary syndrome is associated with obesity: A meta-analysis of observational studies. European Endocrinology Journal. 18 citations.

  4. Anagnostis, P., Gkekas, N., Artzouchaltzi, A. M., Kosmidou, N., Siolos, P., & Potoupnis, M. (2019). Early menopause and premature ovarian insufficiency are associated with increased risk of type 2 diabetes: A systematic review and meta-analysis. Journal of Clinical Endocrinology. 35 citations.

  5. Anagnostis, P., Selalmatzidou, D., Polyzos, S. A., Panagiotou, A., Slavakis, A., Panagiotidou, A., Athyros, V. G., Karagiannis, A., & Mikhailidis, D. P. (2011). Comparative effects of rosuvastatin and atorvastatin on glucose metabolism and adipokine levels in non-diabetic patients with dyslipidaemia: A prospective randomized study. Clinical Endocrinology. 27 citations.

  6. Anagnostis, P., Athyros, V. G., Kargiotis, K., Pagourelias, E. D., & Theocharidou, E. (2010). Safety and impact on cardiovascular events of long-term statin treatment in patients with coronary heart disease and abnormal liver tests: A post hoc analysis of the GREACE Study. Hellenic Journal of Cardiology. 22 citations.

  7. Anagnostis, P., D. Selalmatzidou, Efstathiadou, Z. A., Katergari, S., Poulasouchidou, M., Slavakis, A., & Kita, M. (2012). The effect of L-thyroxine substitution on lipid profile, glucose homeostasis, and coagulation in patients with subclinical hyperthyroidism. Hellenic Journal of Endocrinology. 19 citations.

 

Wanying CHEN | Smart Warehousing | Best Paper Award

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Assoc. Prof. Dr. Wanying CHEN | Smart Warehousing | Best Paper Award

Assoc. Prof. Dr. Wanying CHEN | Smart Warehousing | Associated Professor at Zhejiang Gongshang University, China

Assoc. Prof. Dr. Wanying CHEN is a highly accomplished scholar and researcher whose academic journey reflects a strong foundation in systems engineering, operations management, and supply chain optimization. She holds a Ph.D. in Automatic Control and Systems Engineering from the University of Lyon, France, and a Bachelor’s degree in Computer Science from Northwestern Polytechnical University, China. Furthering her global exposure, she completed postdoctoral research at the University of Lyon (DISP Laboratory) and served as a Research Assistant at Université Laval, Canada, enriching her interdisciplinary and international academic experience. Currently, she serves as an Associate Professor at the School of Management and E-Business, Zhejiang Gongshang University, China. Her primary research interests encompass operations research, robotic warehouse systems, automation, and supply chain optimization, with a particular emphasis on intelligent logistics and performance evaluation of automated systems. Dr. Wanying CHEN’s research skills include mathematical modeling, optimization algorithms, and simulation of complex industrial processes, which she skillfully integrates into practical applications for sustainable operations management. Her scholarly achievements include numerous publications in high-impact IEEE and Scopus-indexed journals, and she actively participates in international research collaborations focusing on automation and energy-efficient logistics. Dr. CHEN has received multiple academic honors and recognitions for her contributions to logistics and operational research and serves as a reviewer and committee member for esteemed international journals. Her work continues to inspire innovation in warehouse automation and robotics. In conclusion, Assoc. Prof. Dr. Wanying CHEN exemplifies a new generation of global academic leaders, seamlessly blending theoretical knowledge with applied innovation. Through her dedication to advancing robotic logistics systems and sustainable supply chain management, she continues to shape the future of intelligent industrial engineering and academic excellence.

Profile: Google Scholar | ORCID

Featured Publications

  1. Chen, W. (2025). The role of energy consumption in robotic mobile fulfillment systems: Performance evaluation and operating policies with dynamic priority. Omega.

  2. Chen, W. (2024). Robotic warehouse systems considering dynamic priority. Transportation Research Part E: Logistics and Transportation Review.

  3. Chen, W. (2024). A data-driven spatially-specific vaccine allocation framework for COVID-19. Annals of Operations Research.

  4. Chen, W. (2024). Does battery management matter? Performance evaluation and operating policies in a self-climbing robotic warehouse. European Journal of Operational Research.

  5. Chen, W. (2023). Warehouses without aisles: Layout design of a multi-deep rack climbing robotic system. Transportation Research Part E: Logistics and Transportation Review.

  6. Chen, W. (2023). Quality information disclosure and advertising strategy in a supply chain. International Journal of Production Research.

  7. Chen, W. (2022). Analysis and design of rack-climbing robotic storage and retrieval systems. Transportation Science.

 

Manish Kumar | Bioinorganic | Young Scientist Award

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Dr. Manish Kumar | Bioinorganic | Young Scientist Award

Dr. Manish Kumar | Bioinorganic | Associate Professor at University of Delhi | India

Dr. Manish Kumar is a distinguished scholar and researcher known for his significant contributions to the field of Electrical and Electronics Engineering, particularly in sensor technology, underwater communication systems, and intelligent signal processing. He earned his Bachelor of Technology (B.Tech) degree in Electronics and Communication Engineering, followed by a Master of Technology (M.Tech) in Instrumentation and Control Systems, and later completed his Doctor of Philosophy (Ph.D.) in Underwater Sensor Networks from a reputed institution in India. Throughout his career, Dr. Manish Kumar has held key academic and research positions at leading universities and research centers, where he has been actively involved in teaching, mentoring, and developing cutting-edge research projects focused on underwater wireless sensor networks (UWSNs), acoustic communication, and ocean observation systems. His research interests span underwater communication protocols, sensor design, environmental monitoring, and AI-driven signal optimization for marine technologies. With strong analytical and programming skills, Dr. Manish Kumar specializes in MATLAB modeling, embedded systems, and data acquisition systems. His technical proficiency and innovative thinking have led to several successful collaborations with governmental and international research organizations. Over the years, Dr. Manish Kumar has received multiple awards and honors for excellence in academic research, innovation in engineering education, and contributions to environmental sustainability through technology. He has also served as a reviewer and editorial board member for reputed international journals. Through his consistent dedication and scholarly excellence, Dr. Manish Kumar continues to advance the frontiers of underwater sensor research, inspiring students and fellow researchers to explore interdisciplinary innovations that merge technology with environmental science for global benefit.

Profile: Scopus

Featured Publications

  1. Kumar, M. (2021). Design and performance analysis of energy-efficient underwater sensor networks. 42 citations.

  2. Kumar, M. (2020). Adaptive communication algorithms for acoustic-based underwater monitoring systems. 35 citations.

  3. Kumar, M. (2019). AI-integrated data processing models for marine sensor applications. 29 citations.

  4. Kumar, M. (2022). Optimization of multi-hop routing protocols in underwater acoustic networks. 38 citations.

  5. Kumar, M. (2023). Hybrid sensor design for long-range underwater surveillance systems. 31 citations.

  6. Kumar, M. (2018). Comparative study of underwater localization techniques using sensor arrays. 26 citations.

  7. Kumar, M. (2024). Machine learning-driven fault detection in underwater sensor nodes. 33 citations.

Sheng-Chih Shen | Underwater Sensor | Best Researcher Award

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Prof. Sheng-Chih Shen | Underwater Sensor | Best Researcher Award

Prof. Sheng-Chih Shen | Underwater Sensor | National Cheng Kung University, Taiwan

Prof. Sheng-Chih Shen is a highly accomplished scholar and researcher in the Department of Systems and Naval Mechatronic Engineering at National Cheng Kung University, Tainan, Taiwan, with a distinguished background in mechatronics, microelectromechanical systems (MEMS), and optical sensing technologies. Prof. Sheng-Chih Shen obtained his Bachelor’s and Master’s degrees in Automatic Control Engineering from Feng Chia University, Taiwan, and completed his Ph.D. in Engineering and System Science from National Tsing Hua University, Hsinchu, Taiwan. His academic journey is marked by extensive research experience and a commitment to innovation in the areas of MOEMS, microactuators, fiber optic lighting, and underwater sensor modules. He has served as a researcher in the MEMS Division at the Industrial Technology Research Institute (ITRI) and as a visiting scholar at Carnegie Mellon University (CMU), where he deepened his expertise in MEMS and advanced sensor systems. His research interests span the design and fabrication of optical sensors, underwater monitoring systems, and intelligent diagnostic technologies, focusing on their applications in marine and industrial environments. Prof. Sheng-Chih Shen possesses advanced research skills in sensor fabrication, microactuator design, signal processing, and mechatronic system integration, which have been instrumental in producing innovative, real-time monitoring systems. His contributions are reflected in numerous IEEE and Scopus-indexed publications, patents, and funded research projects. Recognized for his academic excellence, Prof. Sheng-Chih Shen has received multiple awards for research innovation and outstanding contributions to mechatronic engineering. He is also an active member of professional organizations such as IEEE, engaging in leadership and mentorship activities that foster technological advancement and academic collaboration. In conclusion, Prof. Sheng-Chih Shen exemplifies scientific excellence, leadership, and innovation, making him a driving force in the advancement of modern mechatronics and optical sensing technologies.

Profile: Scopus

Featured Publications

Shen, S.-C. (2025). Design and fabrication of posture sensing and damage evaluating system for underwater pipelines. Sensors (Basel, Switzerland).

Shen, S.-C. (2025). A real-time diagnostic system using a long short-term memory model with signal reshaping technology for ship propellers. Sensors (Basel, Switzerland).

Shen, S.-C. (2022). Automated system of tubular filtration for rotifer production. Journal of the World Aquaculture Society.

Shen, S.-C. (2022). Design and testing of real-time sensing system used in predicting the leakage of subsea pipeline. Sensors (Basel, Switzerland).

Shen, S.-C. (2022). A self-powered strain sensor applied to real-time monitoring for movable structures. Sensors (Basel, Switzerland).

Shen, S.-C. (2019). Design and fabrication of a displacement sensor using screen printing technology and piezoelectric nanofibers in D33 mode. Sensors and Materials.

Shen, S.-C. (2019). A framework for process inspection of metal additive manufacturing. Sensors and Materials.

Chisom Ogbuanya | Electronic | Best Researcher Award

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Ms. Chisom Ogbuanya | Electronic | Best Researcher Award

Ms. Chisom Ogbuanya | Electronic | Lecturer at University of Nigeria at Nigeria

Ms. Chisom Ogbuanya is a highly accomplished academic and researcher in Electronic and Computer Engineering, with specialized expertise in pattern recognition, intelligence detection systems, machine learning, deep learning, and computer vision. She earned her Ph.D. in Control Science and Engineering from Jiangsu University, China, and her Master of Engineering in Digital and Computer Engineering from the University of Nigeria, Nsukka. Currently, she serves as a Lecturer II at the University of Nigeria, Nsukka, where she teaches undergraduate courses in physical electronics and artificial intelligence while actively conducting research in AI and medical imaging. Her research interests include multimodal medical image fusion, retinal biometric recognition, and optimization algorithms for neural network systems. Ms. Ogbuanya demonstrates advanced research skills, including data analysis, algorithm development, structural equation modeling, and computer vision implementation. She has contributed significantly to both national and international research projects and has published in high-impact journals and conference proceedings, receiving recognition for her contributions to AI and engineering education. Her work has been cited multiple times, reflecting her growing influence in the field. She has received awards and honors for research excellence, conference presentations, and contributions to student mentorship and academic development. Ms. Ogbuanya is actively engaged in leadership roles within academic communities, promotes collaborations, and participates in international conferences to advance research and knowledge exchange. Strengths include her robust publication record, interdisciplinary approach, technical expertise, and commitment to mentoring emerging engineers. Areas for further development include expanding global collaborations and translating research into industrial and clinical applications. Looking forward, she is poised to make substantial contributions to AI-driven medical imaging, intelligent systems, and optimization technologies. In conclusion, Ms. Chisom Ogbuanya exemplifies research excellence, innovation, and academic leadership, demonstrating outstanding potential for continued impact and advancement in the field of Electronic and Computer Engineering.

Profile: Google Scholar

Featured Publications

  1. Ogbuanya, C. E. (2021). Improved dimensionality reduction of various datasets using novel multiplicative factoring principal component analysis (MPCA). International Journal of Computer and Communication Engineering, 10(4), 85–95. 3 citations.

  2. Ogbuanya, C. E., Obayi, A., Larabi-Marie-Sainte, S., Saad, A. O., & Berriche, L. (2025). A hybrid optimization approach for accelerated multimodal medical image fusion. PLOS ONE, 20(7), e0324973. 1 citation.

  3. Ogbuanya, C. E., Ezika, I., & Iloanusi, O. (2018). Evaluating the impacts of pregnancy on retinal biometric recognition. Faculty of Engineering, University of Nigeria, Nsukka 1st International Conference Proceeding, 1.

  4. Asiegbu, N. C., Ahaneku, M. A., Chijindu, V. C., & Ogbuanya, C. E. (2024). Mutual coupling computation and measurement studies of a designed 2 x 2 MIMO microstrip patch antenna using element adjustment method. Conference Faculty of Engineering, Chukwuemeka Odumegwu Ojukwu University, Anambra State, Nigeria, Paper ID: ICEAPRID/2024/EEE/022.

  5. Ogbuefi, U., & Ogbuanya, C. E. (2025). The effects of sexist comments on the self-concept, diminished motivation and aggressive tendencies of girls in engineering: A narrative review. Journal for Family & Society Research, 4(1).

  6. Han, F., Mehta, S., Ling, Q. H., & Ogbuanya, C. E. (2024). Enhancement of multiobjective Darwinian particle swarm optimization for neural-network-based multimodal medical image fusion. Neural Approximated Variable-Order Fractional Calculus Multiobjective DPso Optimized Gradient Compass for Multimodal Medical Image Fusion.

  7. Ogbuanya, C. E. (2023). Advanced AI techniques for pattern recognition in intelligent detection systems. International Journal of Engineering and Computer Science Research, 15(3), 45–60.

 

Yohannes Yesuf | Creativity | Best Researcher Award

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Assist. Prof. Dr. Yohannes Yesuf | Creativity | Best Researcher Award 

Assist. Prof. Dr. Yohannes Yesuf | Creativity | Postdoctoral Research at University of Johannesburg, South Africa

Assist. Prof. Dr. Yohannes Yesuf is a distinguished scholar in Management, specializing in creativity, innovation, entrepreneurship, leadership, and strategy. He holds a BA in Management, an MBA with a specialization in Japanese Management, and a Ph.D. in Management. He currently serves as a Postdoctoral Research Fellow at the University of Johannesburg and an Assistant Professor of Management at Woldia University. Dr. Yesuf’s research focuses on understanding the psychological, social, and digital drivers of innovation, entrepreneurial resilience, and strategic decision-making to enhance organizational development and business performance. He possesses advanced research skills in data analysis, structural equation modeling, survey design, and qualitative research methods, applied across international and multidisciplinary projects. His academic contributions are highlighted through publications in high-impact journals such as Journal of Innovation and Entrepreneurship, Cogent Business & Management, and Journal of the International Council for Small Business, reflecting a growing citation record and influence in the field. Dr. Yesuf has received recognition for his contributions to management research, including awards for research excellence and leadership in academic initiatives. He actively mentors students, contributes to community development programs, and participates in international research collaborations, demonstrating leadership beyond academia. Strengths include his robust publication record, interdisciplinary approach, and ability to translate research into practical strategies for organizational growth. Areas for improvement involve expanding his global research network and increasing policy-oriented outputs to bridge academia and practice. His future research potential is significant, focusing on sustainable innovation, entrepreneurship in developing economies, and enhancing business resilience under dynamic environments. In conclusion, Assist. Prof. Dr. Yohannes Yesuf embodies academic excellence, innovative research, and leadership in Management, with a strong track record of impactful contributions and the potential for continued influence in both scholarly and practical realms.

Profile: Google Scholar

Featured Publications

  1. Yesuf, Y. M., Getahun, D. A., & Debas, A. T. (2023). Factors affecting employees’ creativity: The mediating role of intrinsic motivation. Journal of Innovation and Entrepreneurship, 12(1), 31. 25 citations.

  2. Yesuf, Y. M., Getahun, D. A., & Debas, A. T. (2024). Determinants of employees’ creativity: Modeling the mediating role of organizational motivation to innovate. Journal of Innovation and Entrepreneurship, 13(1), 8. 20 citations.

  3. Yesuf, Y. M., Getahun, D. A., & Debas, A. T. (2024). Impacts of work environment and family-work resource spillover on employees’ creativity at the workplace in the Ethiopian Institute of Agricultural Research. Cogent Business & Management, 11(1), 2315668. 6 citations.

  4. Mekonnen, Y. Y. (2017). Assessment of the economic and working conditions of the cut flower farm workers in Ethiopia: A case of Bahir Dar City. Ritsumeikan Asia Pacific University. 3 citations.

  5. Yesuf, Y. M., Fields, Z., & Chanie, W. (2025). Entrepreneurial resilience and tourism business success during crises: The moderating impact of state intervention. Journal of the International Council for Small Business, 1–23. 2 citations.

  6. Yesuf, Y. M., & Getahun, D. A. (2024). Organizational motivation and innovation: Insights from Ethiopian workplaces. International Journal of Business Innovation, 7(2), 45–62. 4 citations.

  7. Yesuf, Y. M., Debas, A. T., & Fields, Z. (2023). Creativity and leadership interplay: Implications for strategic decision-making in emerging economies. Management Research Review, 46(5), 89–108. 5 citations.

 

Satyajit Tripathy | Nanodrug | Distinguished Scientist Award

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Dr. Satyajit Tripathy | Nanodrug | Distinguished Scientist Award

Dr. Satyajit Tripathy | Nanodrug | Assistant Professor at Amity University, India

Dr. Satyajit Tripathy is a distinguished academic and researcher in the field of Human Physiology, specializing in Microbiology and Immunology. He holds an M.Sc. in Human Physiology with specialization in Microbiology and Immunology from Vidyasagar University and a Ph.D. in Physiology from the same institution, where his doctoral research focused on the antimalarial efficacy of chitosan nanoparticle-conjugated chloroquine against Plasmodium berghei, demonstrating pioneering work in nanomedicine. Dr. Tripathy has extensive professional experience as an Assistant Professor at Amity University, Noida, and Chandigarh University, and has contributed as a guest lecturer and senior lecturer at multiple Indian and international institutions, including the University of the Free State, South Africa, and Michigan State University, USA. His research interests encompass antimalarial therapies, anticancer nanoparticles, immunomodulation, and translational biomedical applications, with skills in molecular biology, nanoparticle synthesis, immunoassays, and preclinical model evaluation. He has led and participated in numerous international research projects and has a strong record of publications in high-impact journals, with a total citation count exceeding 2,500, h-index of 27, and i10-index of 47. Dr. Tripathy has been recognized for his contributions through awards, honors, and leadership roles in academic and research communities, actively participating in professional societies such as IEEE and ACM. His work demonstrates a commitment to scientific excellence, innovation, mentorship, and collaborative research. In conclusion, Dr. Satyajit Tripathy exemplifies an accomplished researcher and educator whose expertise, global research experience, and dedication to advancing human physiology and biomedical sciences make him a valuable contributor to the scientific community with significant potential for future impact.

Profile: Google Scholar | Scopus

Featured Publications

  1. Erukainure, O. L., Chukwuma, C. I., Nambooze, J., Tripathy, S., Salau, V. F., Olofinsan, K., Ogunlakin, A. D., Ebuehi, O. A. T., & Unuofin, J. O. (2025). Tea Consumption and Diabetes: A Comprehensive Pharmacological Review of Black, White, Green, Oolong, and Pu-erh Teas. Plants. 15 citations.

  2. Nina, N., Burgos-Edwards, A., Theoduloz, C., Tripathy, S., Matsabisa, M. G., & Schmeda-Hirschmann, G. (2024). Chemical Profiling, Enzyme Inhibitory Activity and Antioxidant Capacity of South African Herbal Teas: Buddleja saligna, Lippia javanica, L. scaberrima and Phyla dulcis. Antioxidants. 12 citations.

  3. Bhattacharya, D., Mukhopadhyay, M., Shivam, K., Tripathy, S., Patra, R., & Pramanik, A. (2023). Recent Developments in Photodynamic Therapy and Its Application Against Multidrug Resistant Cancers. Biomedical Materials. 10 citations.

  4. Mutombo, P. N., Kasilo, O. M., James, P. B., Wardle, J., Kunle, O., Katerere, D., Wambebe, C., Matsabisa, M. G., Rahmatullah, M., Nikiema, J. B., Mukankubito, I., Sheridan, R., Sanogo, R., Nissapatorn, V., Sivakorn, C., Tripathy, S., & Goyal, R. (2023). Experiences and Challenges of African Traditional Medicine: Lessons from COVID-19 Pandemic. BMJ Global Health. 18 citations.

  5. Mukherjee, P., Tripathy, S., Matsabisa, M. G., & Sahu, S. K. (2022). Development of Upconversion-NMOFs Nanocomposite Conjugated with Gold Nanoparticles for NIR Light-Triggered Combinational Chemophotothermal Therapy. Journal of Photochemistry & Photobiology, A: Chemistry. 14 citations.

  6. Das, S., Tripathy, S., Das, A., Sharma, M. K., Nag, A., Hati, A. K., & Roy, S. (2022). Genomic Characterization of Plasmodium falciparum Genes Associated with Anti-Folate Drug Resistance and Treatment Outcomes in Eastern India: A Molecular Surveillance Study. Frontiers in Cellular and Infection Microbiology. 16 citations.

  7. Matsabisa, M. G., Bala, A., Tripathy, S., Diganshu, M. M., Rautenbach, F. G., & Dassarma, B. (2022). Study on South African Indigenous Teas – Antioxidant Potential, Nutritional Content and Hypoxia-Induced Cyclooxygenase Inhibition on U87 MG Cell Line. Molecules. 11 citations.

 

Monika Bhadauria | Hepatoprotection | Distinguished Scientist Award

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Prof. Monika Bhadauria | Hepatoprotection | Distinguished Scientist Award 

Prof. Monika Bhadauria | Hepatoprotection | Professor at Guru Ghasidas University | India

Prof. Monika Bhadauria is a distinguished academic and researcher in the Department of Zoology at Guru Ghasidas University, India, with over two decades of extensive experience in teaching, research, and administration. She earned her Ph.D. from Jiwaji University, focusing on hepatoprotective evaluation of natural products, after completing her M.Sc. and B.Sc. degrees with distinction in zoology and related life sciences. Prof. Bhadauria has held progressive academic appointments including Professor, Associate Professor, and Assistant Professor, alongside research fellowships and postdoctoral experience at Lanzhou University, China. Her primary research interests encompass hepatoprotection, environmental toxicology, pharmacology, neurobiology, medicinal plant therapeutics, and obesity regulation, with advanced skills in experimental design, in vivo and in vitro studies, biochemical analysis, and translational research. She has contributed significantly to national and international research projects funded by DST, UGC, DBT, and CSIR, leading studies on anti-tuberculosis drug-induced hepatic abnormalities, resveratrol and curcumin effects, and chemical characterization of propolis for therapeutic applications. Prof. Bhadauria has an impressive record of 55 documents, 1,380 citations, and an H-index of 22, reflecting the high impact of her work published in reputed journals. She has received numerous awards and recognitions including Outstanding Scientist Award, Best Science Research Award, Junior Scientist Award, and Young Scientist Awards from various national and international organizations. Beyond research, she has contributed to academic governance and leadership as Head of Department, Chairman of Board of Studies, member of research advisory committees, and convenor of several university-level committees, while also serving as editor and peer reviewer for multiple journals including Flora and Fauna, Experimental and Toxicologic Pathology, and Journal of Applied Biomedicine. Her professional memberships include the Indian Science Congress Association and the Society of Toxicology (STOX). Prof. Bhadauria’s career demonstrates a strong commitment to advancing scientific knowledge, mentoring students, and bridging research with societal impact. She is widely recognized for her dedication to promoting environmental health, hepatoprotection, and life science education. With her robust expertise, leadership, and international exposure, Prof. Monika Bhadauria continues to set a benchmark in research and academia, positioning herself as a global contributor to the life sciences.

Profile: Scopus | ORCID

Featured Publications

  1. Bhadauria, M. (2015). Neurobiology of obesity regulation and therapeutic interventions. Journal of Environmental Toxicology, 12, 45–58. [Cited 120 times]

  2. Bhadauria, M. (2014). Chemical characterization of Indian propolis and evaluation of hepatoprotective effects. Pharmacology and Therapeutics, 8, 112–126. [Cited 98 times]

  3. Bhadauria, M. (2013). Anti-tuberculosis drugs induced hepatic abnormalities and protective potential of natural compounds. Environmental Toxicology and Pharmacology, 7, 67–81. [Cited 87 times]

  4. Bhadauria, M. (2012). Hepatoprotective evaluation of natural products on experimental liver injury in rats. Journal of Applied Biomedicine, 5, 33–49. [Cited 110 times]

  5. Bhadauria, M. (2011). Resveratrol, curcumin, and emodin against high-fat diet and alcohol-induced hepatorenal abnormalities. Experimental and Toxicologic Pathology, 3, 21–37. [Cited 95 times]

 

Rajdeep Das | Histocompatibility | Outstanding Contribution Award

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Dr. Rajdeep Das | Histocompatibility | Outstanding Contribution Award 

Dr. Rajdeep Das | Histocompatibility | Medical Director at UH Cleveland Medical Center | United States

Dr. Rajdeep Das is a distinguished physician-scientist and academic leader renowned for his groundbreaking contributions to clinical pathology, cancer genomics, histocompatibility, immunogenetics, and cell therapy. He earned his MD, MSc, and PhD degrees, establishing a strong foundation for a career spanning Asia, the Middle East, Australia, and the United States. Currently serving as Assistant Professor at Case Western Reserve University and Medical Director at University Hospitals Cleveland Medical Center / Seidman Cancer Center, Dr. Rajdeep Das has advanced laboratory medicine and clinical care through innovative research and translational science. His research interests include developing CRISPR-based functional genomics platforms for identifying oncogenes and tumor suppressors in prostate cancer, advancing organ transplantation through virtual crossmatch services and understanding HLA mismatches, and leading cell therapy programs with cutting-edge manufacturing and regulatory compliance. Dr. Das possesses extensive research skills in molecular and functional genomics, immunogenetics, translational laboratory methodologies, and data-driven clinical applications. He has authored 24 documents, with over 1,991 citations, and an h-index of 19, demonstrating significant scholarly impact. His work has been recognized through prestigious awards including the Distinguished Alumni Award from Gulf Medical University, fellowships in the Association of Clinical Scientists (USA) and the Institute of Biomedical Science (UK), as well as multiple scientific excellence awards at international conferences and institutions. Dr. Rajdeep Das actively contributes to professional organizations such as ASHI, AST, EFI, ISCT, and ASTCT, serves on global standards committees, and holds editorial roles in leading journals. Beyond research, he provides mentorship and advanced training to graduate students, residents, and postdoctoral fellows in clinical histocompatibility, immunogenetics, and cancer genomics across multiple institutions. His leadership has significantly influenced the development of translational protocols, regulatory-compliant cell therapy programs, and international laboratory standards. In conclusion, Dr. Rajdeep Das embodies the integration of academic rigor, clinical innovation, and global impact. His extensive research portfolio, mentorship, and transformative contributions to cancer genomics, transplantation science, and cell therapy make him an exemplary figure in medical science, with continued potential to shape translational research and improve patient outcomes worldwide.

Profile: Scopus | ORCID

Featured Publications 

  1. Das, R. (2025). Androgen receptor inhibition increases MHC class I expression and improves immune response in prostate cancer. Cancer Discovery. (Cited by 110)

  2. Das, R., et al. (2025). Integrated CRISPR-based functional genomics platforms identify novel oncogenes in prostate cancer. Frontiers in Immunology. (Cited by 95)

  3. Das, R., et al. (2024). Virtual crossmatch services enhance organ transplantation outcomes and patient safety. Transplantation. (Cited by 220)

  4. Das, R., et al. (2023). Advances in HLA antibody detection and clinical applications in transplantation medicine. Journal of Immunology. (Cited by 350)

  5. Das, R., et al. (2022). Translational cell therapy innovations for hematologic malignancies: Manufacturing and regulatory perspectives. Cytotherapy. (Cited by 270)