Ayshika Kapoor | Computer Science | Women Researcher Award

Dr. Ayshika Kapoor | Computer Science | Women Researcher Award

Indian Institute of Technology Roorkee,  India

Dr. Ayshika Kapoor is a researcher in Electronics and Communication Engineering with a Ph.D. specializing in privacy-preserving and communication-efficient federated learning. Her work focuses on secure AI, urban sensing systems, and domain-adaptive learning. She has experience as a research scientist, contributing to intelligent mobility and autonomous systems. With multiple high-impact publications, conference presentations, and a granted copyright, she has earned prestigious fellowships and research recognition. Her contributions advance scalable, secure, and efficient AI solutions for real-world applications.

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Featured Publications


A resource adaptive secure aggregation protocol for federated learning based urban sensing systems


Joint International Conference on Data Science (Cited by 6 · Year: 2023)


Optimization of user resources in federated learning for urban sensing applications


Federated Learning for Distributed Data Mining Workshop (Cited by 3 · Year: 2023)

Sunil Datt Sharma | Computer Science | Best Researcher Award

Dr. Sunil Datt Sharma | Computer Science | Best Researcher Award

Central University of Jammu | India

Dr. Sunil Datt Sharma is a distinguished researcher in the fields of Digital Signal Processing, Adaptive Signal Processing, and Machine Learning Applications, recognized for his contributions across computational biology, biomedical signal analysis, and intelligent imaging systems. With 289 citations, an h-index of 9, and 9 indexed documents, his research is widely acknowledged for its technical depth and interdisciplinary impact. He has authored numerous journal articles, conference papers, and book chapters covering areas such as CpG island detection, promoter identification using deep learning, image de-noising, transfer learning for fault diagnosis, micro-Doppler signature analysis, anisotropic diffusion models, and advanced frequency-domain algorithms. His academic background encompasses strong training in electronics, computing, and signal processing, complemented by extensive experience in teaching, research, and scholarly reviewing for reputed international journals. His research interests span computational genomics, machine learning-based biomedical systems, pattern recognition, and intelligent signal analysis. He has been actively engaged in professional peer-review activities for more than twenty journals, reflecting his standing within the global research community. His work integrates innovative algorithms with real-world applications, contributing to both theoretical advancement and practical solutions. Dr. Sharma continues to advance cutting-edge research aimed at addressing complex challenges across science and engineering.

Profile: Google Scholar

Featured Publications

Sharma, S. D., Shakya, K., & Sharma, S. N. (2011). Evaluation of DNA mapping schemes for exon detection. In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET). (Cited by: 42).

Sharma, S., Sharma, S. N., & Saxena, R. (2020). Identification of short exons disunited by a short intron in eukaryotic DNA regions. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(5). (Cited by: 33).

Sharma, S. D., Saxena, R., & Sharma, S. N. (2015). Identification of microsatellites in DNA using adaptive S-transform. IEEE Journal of Biomedical and Health Informatics, 19(3), 1097–1105. (Cited by: 23).

Garg, P., & Sharma, S. (2020). Identification of CpG islands in DNA sequences using short-time Fourier transform. Interdisciplinary Sciences: Computational Life Sciences, 12(3), 355–367. (Cited by: 19).

Sharma, S. D., Saxena, R., Sharma, S. N., & Singh, A. K. (2015). Short tandem repeats detection in DNA sequences using modified S-transform. International Journal of Advances in Engineering and Technology, 8(2). (Cited by: 16).

Ramesh Babue E | Big Data Analytics | Best Researcher Award

Mr. Ramesh Babue E | Big Data Analytics | Best Researcher Award

Sri Padmavati Mahila VIsvavidyalayam | India

Dr. E. Ramesh Babu is an Assistant Professor in the Department of Computer Science & Engineering at the School of Engineering & Technology, ‎Sri Padmavati Mahila Visvavidyalayam, Tirupati. Holding a B.Tech and M.Tech in CSE from ‎Jawaharlal Nehru Technological University, Anantapur and currently pursuing a Ph.D. in Big Data Analytics at the same institution, he brings over a decade of academic experience at the college-level. His core research interests are in data mining, big data analytics and the Internet of Things. Over the years he has earned recognition including a Best Faculty Award from the ITSR Foundation and Best Oral/Poster/Best-Paper awards at national and international conferences. He has also authored book chapters, secured patents and led funded research projects spanning AI-driven systems, IoT monitoring and sustainable agriculture. With his ongoing engagement in teaching, supervision and publication, Dr. Ramesh Babu continues to contribute towards advancing computing research and cultivating student talent in emerging technologies.

Profile: Scopus

Featured Publication

Ramesh Babu, E., & Sunil Kumar, M. (2025). The role of optimization techniques in advancing big data analytics: A survey. Communications on Applied Nonlinear Analysis, 32(1S), 232–248.