Associate Professor | Lendi Institute of Engineering and Technology | India
Dr. Zeba Shamsi is a researcher at the National Institute of Technology Silchar, India, with expertise in computer science and engineering, particularly in cybersecurity, machine learning, and intelligent data-driven systems. Her research focuses on advanced threat detection, deep learning architectures, and generative models for secure and resilient computing. She has authored 7 peer-reviewed research publications, receiving 104 citations, with an h-index of 5, reflecting steady academic impact. Her recent work on zero-day attack detection using dynamic-weighted contractive autoencoders and GAN-based evaluation highlights her contribution to next-generation cyber defense mechanisms. Dr. Shamsi actively collaborates with national and international researchers, fostering interdisciplinary research and knowledge exchange. Her work contributes to improving digital security, protecting critical infrastructure, and supporting safer adoption of emerging technologies, demonstrating meaningful societal and technological impact at both academic and applied levels.
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