Faculty Department of Computer Science & Engineering

Research & Patents

Dr. Lal has made significant research contributions through multiple publications indexed in Scopus and UGC-CARE, focusing on AI-driven fraud detection, deep learning-based water quality prediction, student interest prediction models, image processing, and network security. His M.Tech thesis addressed energy-efficient detection mechanisms against Denial-of-Service attacks in Wireless Sensor Networks. An active innovator, he holds several published patents in emerging domains, including Zero Trust Security Systems, Digital Deliberation Systems, Wireless Security Systems, Email and Data Forensics-based Unauthorized User Detection, AI-based Video Recommendation Systems, and IoT-enabled Smart Rainwater Harvesting Systems. In addition to his research and innovation activities, he has contributed to organizing national workshops and actively participates in research-driven academic initiatives, demonstrating his commitment to continuous learning, innovation, and mentoring students toward industry readiness and research excellence.