Year 2022–2026

  • Harshvardhan Singh — DL-based Math Predictor Module
  • Rahul Chandu Nikhate — Resource-Adaptive Trust Grading for Unlearning-Assisted Resilient Distributed Learning
  • Rachit Panwar
  • Bhavik Netam — SARQ: Symmetry Aware Rao-Blackwellized Quantum Estimators for Reinforcement Learning — Conference Paper submitted in IEEE ANTS 2026
  • Amitesh Raj — Fair and Restricted Resource Allocation — Entanglement Routing
  • Vinayak Goyal — Malicious Drone in Swarm of Drones
  • M. Umesh Chandra
  • Yashvant Saroj — Development of Chatbot