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Academic Experts
Prakhar Mishra

Biography

Prakhar Mishra is a multidisciplinary researcher and thinker whose work lies at the intersection of ethics, artificial intelligence (AI), and game theory within the domain of computer science. His research explores how computational systems can be designed to align with human values, optimize strategic decision-making, and foster socially responsible innovation. He is particularly focused on the ethical implications of AI-driven technologies and the application of game-theoretic models to real-world challenges such as algorithmic fairness, resource allocation, and human-AI collaboration. His prospective research lies at the confluence of AI ethics, game theory, and applied computer science, with a commitment to developing systems that not only perform optimally but also uphold human-centric values. His work emphasizes the formal integration of ethical principles—such as transparency, fairness, and accountability into the design and implementation of AI systems, ensuring responsible and equitable algorithmic decision-making.

  • B. Tech C.S.E (2017) – School of Computer Science & Engineering, Shri Mata Vaishno Devi University Katra J&K
  • M.Tech C.S.E (Data Science) (2023) - Pandit Dwarka Prasad Mishra Indian Institute of Information Technology Design and Manufacturing, Jabalpur Madhya Pradesh

Work Experience

  • Currently working as Asst. Professor at Jaypee Institute of Information Technology, Noida

Educational Qualifications

B.Tech C.S.E (2017) – Shri Mata Vaishno Devi University Katra J&K, M.Tech C.S.E (Data Science ) (2023) - Pandit Dwarka Prasad Mishra Indian Institute of Information Technology Design and Manufacturing , Jabalpur Madhya Pradesh

Research Highlights

Prakhar Mishra’s research focuses on enhancing the security of wireless networks—particularly 6LoWPAN (IPv6 over Low-Power Wireless Personal Area Networks)—against threats such as Distributed Denial-ofService (DDoS) attacks. Recognizing the challenges posed by constrained resources and the rapid expansion of IoT deployments, his work emphasizes the need for intelligent, lightweight defense mechanisms tailored to such environments.

By integrating principles from Game Theory and Artificial Intelligence, he models the strategic interactions between attackers and defenders to develop adaptive, self-learning security protocols. His approach combines mathematical modeling for threat analysis, optimization of resource allocation, and formal verification of system behavior, ensuring robust and scalable protection mechanisms for next-generation wireless networks.

Areas of Interest
  • Game Theory
  • Ethics in AI
  • Blockchain, IoT and Cyber Security
  • Data structures and Algorithms
  • Discrete Mathematics
Achievements

Gate Qualified