Pengyuan Wang | Pancreatitis | Young Researcher Award

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Mr. Pengyuan Wang | Pancreatitis | Young Researcher Award

Department of Gastroenterology, Changhai Hospital, Naval Medical University | China

Mr. Pengyuan Wang is an accomplished biomedical researcher and clinician specializing in gastroenterology and translational pharmacology. He obtained a Bachelor’s degree in Clinical Medicine, followed by a Ph.D. in Pharmacology, and further strengthened his academic foundation through postdoctoral training in Gastroenterology. He is currently affiliated with leading clinical and research centers in China, where he integrates clinical insight with mechanistic research to address complex gastrointestinal diseases. His professional experience bridges patient-oriented practice and laboratory-based investigation, enabling a strong bench-to-bedside research approach. Mr. Wang’s primary research interest focuses on the metabolic mechanisms underlying pancreatitis, with particular emphasis on identifying key molecular pathways involved in disease initiation and progression. In parallel, he is actively engaged in drug screening and pharmacological evaluation, aiming to discover and optimize therapeutic candidates for pancreatitis and related metabolic disorders. His work contributes to improving diagnostic strategies and advancing targeted treatments in gastroenterology. Recognized for his rigorous scientific approach and interdisciplinary expertise, he has received academic acknowledgment through competitive research training and scholarly contributions. Overall, Mr. Wang’s research continues to enhance the understanding of pancreatitis pathophysiology and supports the development of innovative therapeutic interventions with significant clinical relevance.

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Featured Publications

Harishchander | Biosensing | Best Researcher Award

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Dr. Harishchander | Biosensing | Best Researcher Award

Amrita Vishwa Vidyapeetham | India

Dr. Harishchander is an accomplished academic and researcher in bioengineering and bioinformatics, recognized for his strong interdisciplinary expertise and impactful scientific contributions. He holds a B.Tech and M.Tech in Bioinformatics and earned his Ph.D. in Bioengineering, building a solid foundation in computational biology, systems biology, and biomedical data analysis. With extensive experience as a researcher, keynote speaker, session chair, judge, and committee member across numerous national and international scientific events, he has actively contributed to advancing research communities. His research interests span computational bioengineering, biomarker analytics, machine learning applications in biology, therapeutic peptide analysis, biological network modeling, microRNA-based regulation, infectious diseases, and integrative genomics. Dr. Harishchander has authored multiple Scopus-indexed publications and received numerous prestigious honors, including the AIRA Award, Outstanding Scientist Award, Best Innovation Award, Young Investigator Award, Best Researcher Award, Distinguished Professor Award, and several Best Paper Awards across diverse domains. His achievements also include global recognition in photography and excellence awards for academic service, innovation, peer reviewing, and scientific contributions. Driven by scientific curiosity and multidisciplinary thinking, he continues to contribute to the advancement of bioengineering research and remains committed to fostering innovation, collaboration, and impactful knowledge dissemination.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Baseer, K. K., Reddy, N. R., Kumar, T. S., Anandaram, H., & Panthakkan, A. (2025). AI, IoT, and Cognitive Computing for Mental Health Enhancement and Object Detection.

Anandaram, H., Shreenidhi, K. S., Joshi, K., Sidhu, K. S., Kiruthigha, R., Singh, V., & Tripathi, A. (2025). A Case Study on Resource Management Industrial IoT Application.

Ashok, P., Bharati, A. P., Velpula, S., Krishna, K. M., Sridevi, S. L., Patchala, S., Gopinath, S., & Anandaram, H. (2025). Integrated 5G and Edge Computing Framework for Low-Latency IoT Applications.

Anandaram, H., Sidhu, K. S., Kiruthigha, R., Pathak, N., Sudhakar, A., Sharma, N., & Joshi, K. (2025). Analysis of the Human Brain Using Basic Computer Interface (BCI) System.

Pathak, N., Sharma, N., Sahoo, D. R., Alam, F., Anandaram, H., & Joshi, K. (2025). Fundamentals Approached Towards Artificial Neural Networks in Brain Computer Interface.

Kausar, M. T. A., Anandaram, H., Sidhu, K. S., Pathak, N., Sudhakar, A., Sharma, N., & Joshi, K. (2025). Introduction of a Cutting-Edge Technology Neural Networks Organization.

Sindhuja, L. S., Shreenidhi, K. S., Anandaram, H., Chandra, S., & Hari, B. S. (2025). Optimizing Composite Material Selection Using the Artificial Bee Colony Algorithm.