Riya Mukherjee | Meta Research | Best Researcher Award

Posted on by Indian Scientist

Ms. Riya Mukherjee | Meta Research | Best Researcher Award

Chang Gung University | India

Dr. Riya Mukherjee is a passionate and emerging researcher in biomedical sciences whose scholarly work integrates biotechnology, nanomedicine, and regenerative therapies. Her research primarily focuses on exosome-based therapeutic strategies for osteoarthritis, antimicrobial resistance, and tissue regeneration. She has authored multiple impactful publications, with a total of over 1,500 citations, h-index of 8, and approximately 45 documents indexed in global databases. Her notable works include studies on antioxidant assays, nanoparticle-based drug evaluation, and antimicrobial resistance, reflecting strong interdisciplinary expertise. She is currently pursuing her Ph.D. in Biomedical Sciences at Chang Gung University, Taiwan, where she also served as a Project Assistant and research contributor. Her academic background in microbiology from SRM University and Kalyani University strengthens her foundation in molecular and cellular biology. Dr. Mukherjee has presented at numerous international conferences and participated in innovation and entrepreneurship competitions, demonstrating leadership and creativity beyond laboratory research. Her research interests encompass exosome biology, nanotechnology, regenerative medicine, and computational biology. With several high-impact publications and international recognition, she continues to advance translational biomedical research aimed at global health improvement.

Profile: Google Scholar

Featured Publications

Baliyan, S., Mukherjee, R., Priyadarshini, A., Vibhuti, A., Gupta, A., Pandey, R. P., et al. (n.d.). Determination of antioxidants by DPPH radical scavenging activity and quantitative phytochemical analysis of Ficus religiosa. Molecules, 27(4), 1326. https://doi.org/10.3390/molecules27041326

Pandey, R. P., Vidic, J., Mukherjee, R., & Chang, C. M. (n.d.). Experimental methods for the biological evaluation of nanoparticle-based drug delivery risks. Pharmaceutics, 15(2), 612. https://doi.org/10.3390/pharmaceutics15020612

Mukherjee, R., Priyadarshini, A., Pandey, R. P., & Raj, V. S. (n.d.). Antimicrobial resistance in Staphylococcus aureus. In Insights into drug resistance in Staphylococcus aureus. IntechOpen.

Pati, P. R., Riya, M., Anjali, P., Gupta, A., Vibhuti, A., Leal, E., Sengupta, U., et al. (n.d.). Potential of nanoparticles encapsulated drugs for possible inhibition of the antimicrobial resistance development. Biomedicine & Pharmacotherapy, 141, 111943. https://doi.org/10.1016/j.biopha.2021.111943

Léguillier, V., Pinamonti, D., Chang, C. M., Mukherjee, R., Cossetini, A., et al. (n.d.). A review and meta-analysis of Staphylococcus aureus prevalence in foods. The Microbe, 4, 100131.

Major Singh Goraya | Computer Science | Best Researcher Award

Posted on by Indian Scientist

Prof. Major Singh Goraya | Computer Science | Best Researcher Award

Sant Longowal Institute of Engineering and Technology | India

Dr. Major Singh Goraya is a Professor in the Department of Computer Science and Engineering at Sant Longowal Institute of Engineering and Technology (SLIET), Longowal. He holds a Ph.D. from Punjabi University, complemented by strong academic foundations in computer engineering. His primary research areas include cloud computing, resource management, green computing, fault tolerance, and load balancing. With 27 Scopus-indexed publications, 460 citations across 399 documents, and an h-index of 10, Dr. Goraya has made consistent scholarly contributions to high-performance and sustainable computing. His studies have explored dynamic resource allocation, energy-efficient scheduling frameworks, and deep learning-based optimization techniques. He has supervised several Ph.D. and M.Tech. research scholars and continues to guide emerging researchers in cloud resource efficiency and intelligent computation. His international exposure through conferences in the UK, Canada, and Malaysia reflects his active engagement in global research forums. In addition, he has successfully organized numerous academic workshops, conferences, and training programs. Dr. Goraya’s innovative contributions strengthen the integration of artificial intelligence and cloud technology, promoting scalable and eco-efficient computational solutions that advance modern computer engineering research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Goyal, N., Singh, T., & Goraya, M. S. (2025). Deep convolutional neural networks vs. vision transformers for video-based human activity recognition. In Proceedings of Lecture Notes in Computer Science (pp. xx–xx). Springer.

Singh, J., & Goraya, M. S. (2023). An autonomous multi-agent framework using quality of service to prevent service level agreement violations in cloud environment. International Journal of Advanced Computer Science and Applications, 14(3).

Goyal, N., Goraya, M. S., & Singh, T. (2023). An axiomatic analysis for object detection and recognition using deep learning. In Smart Innovation, Systems and Technologies (pp. xx–xx). Springer.

Thakur, A., & Goraya, M. S. (2022). A workload and machine categorization-based resource allocation framework for load balancing and balanced resource utilization in the cloud. International Journal of Grid and High Performance Computing, 14(2).

Hasan, M., Goraya, M. S., & Garg, T. (2022). E-FFTF: An extended framework for flexible fault tolerance in cloud. In Lecture Notes in Networks and Systems (pp. xx–xx). Springer.