Dr. Sumita Majhi

AI-Driven 5G/6G Wireless & NOMA Researcher

Ph.D., IIT Guwahati | Interference management, reinforcement learning, and holographic MIMO for next-generation ISAC systems.

Thesis: Interference Management & QoS in 5G NOMA

Developed hybrid AI-metaheuristic frameworks (MOGA-RL, DQN, Transformers) for dynamic resource allocation and handover optimization.

2015

Advanced algorithms, network theory, computational modeling, and distributed systems.

Assistant Teacher, Govt. of West Bengal

TA at IIT Guwahati. Mentored B.Tech/M.Tech theses.

MOGA-RL Hybrid Framework: RL + Genetic Algorithms for spectrum optimization in 5G NOMA-IoT. (Springer NERC 2022)
DQN-Driven Handover: Hybrid Gold-Walsh codes + Deep Q-Networks for high-mobility NOMA. (IEEE GCON 2026)
Transformer Deep-SIC: PDD feedback mechanism reducing handover failures by 40%. (Under Review: Elsevier Comp. Networks)
Holographic MIMO & RS-NOMA: 6G ISAC framework with 11.7% sum-rate gain & 2.4 dB sensing accuracy improvement. (Communicated)
GoldMamba-Diff: Diffusion-based joint detection & channel estimation. 47% NMSE reduction, 1.2ms edge inference. (Communicated)
TransGNN-MARL & TA-CFM: Semantic-aware link adaptation & task-aligned channel foundation models for 6G ISAC. (Work in Progress)

Reinforcement Learning Transformers Diffusion Models GNNs & Multi-Agent RL LLMs & AI Platforms

PythonMATLABC/C++ JavaLaTeXLinux/UNIX SQLJupyterGoogle Colab

5G NR / 6GNOMA / MIMO ISACD2DIoT Massive MIMOmmWave

Open to Postdoctoral Positions, Research Collaborations & AI/Wireless Consulting

IEEE Member | IIT Guwahati, India