Designation: Assistant Professor
Shreeram Hudda’s research centers on developing secure, energy efficient, and scalable solutions for resource constrained IoT systems. His Ph.D. work introduced intelligent communication approaches, hybrid surveillance mechanisms, and lightweight security techniques that optimize energy consumption while maintaining robust data protection. He aims to advance IoT applications in healthcare, smart cities, and industrial automation by integrating ML/DL, computer vision, and edge/cloud technologies. Committed to impactful research and collaboration, he also values mentoring students. His teaching philosophy emphasizes inclusivity, active learning, and real world problem solving, supported by diverse assessments and digital tools to foster engagement and lifelong learning.