Dr. Rahul Kumar

Dr. Rahul Kumar

Assistant Professor - Senior Grade

Profile Summary

Dr. Rahul Kumar is an accomplished researcher and educator specializing in wireless communication and artificial intelligence-driven cybersecurity. He began his research career in cognitive radio spectrum sensing and has expanded into interdisciplinary domains integrating communication systems with AI and advanced photonics.

His research spans elastic optical networks, space-division multiplexing, AI/ML applications in communication systems, and all-optical logic design. He is focused on developing intelligent, scalable, and efficient next-generation communication infrastructures.

Work Experience

Dr. Rahul Kumar has over three years of teaching and research experience in communication systems and related technologies. He has worked extensively with tools such as MATLAB and Python, along with simulation frameworks for optical and wireless networks.

His experience enables him to bridge theoretical knowledge with practical engineering challenges in modern communication systems.

Research Interests

Wireless Communication | Artificial Intelligence | Cybersecurity | Optical Networks | Elastic Optical Networks | Space-Division Multiplexing | AI/ML in Communication Systems | Ultrafast Photonics | Intelligent Network Design

Teaching Philosophy

Dr. Rahul Kumar believes that strong foundational knowledge is essential for meaningful learning. His teaching focuses on building conceptual clarity while connecting engineering principles to real-world technological challenges.

He emphasizes problem-solving, hands-on experimentation, and analytical thinking through interactive discussions and practical examples. His goal is to create a collaborative learning environment that encourages curiosity, innovation, and confidence among students.

Courses Taught

Design and Analysis of Algorithms | Operating Systems | Digital Logic Design | Machine Learning | Cryptography | Network Security

Scholarly Activities

Dr. Rahul Kumar is actively engaged in research on next-generation communication systems, focusing on AI/ML-driven network intelligence and advanced optical communication technologies.

He has published research articles in reputed Scopus and Web of Science indexed journals and conferences from publishers such as IEEE, Elsevier, and Springer.

His work contributes to the development of high-capacity, energy-efficient, and intelligent communication infrastructures for future digital ecosystems.