Rahul Kushwah
PhD Student (TA)
Integrating LLMs with causal approaches for network slicing.
The Group
People
The LAN Lab at GSSST, IIT Kharagpur, led by Dr. Dibbendu Roy, works at the intersection of causal AI, reinforcement learning, and 6G networks.
LAN Lab is led by Dr. Dibbendu Roy, Assistant Professor at the G.S. Sanyal School of Telecommunications, IIT Kharagpur.
Full profile →PhD Students
M.Tech Students
Prashant Mishra
M.Tech Student
Mechanism-design approach for truthful slicing decisions.
B.Tech Project Students
Causal World Model–based Reinforcement Learning
Causally-structured world models for sample-efficient, OOD-robust RL.
Students: Abhitulya Mishra, Sidharth Singh
Theoretical Bounds of Causal and Federated RL
Regret and sample-complexity analysis for RL with causal structure under federation.
Students: Praneeth Masiya, Sidhant Mohanty
Alumni
- Shubham Sinha — M.Tech — RL and LLM techniques for dynamic network slicing.
- Manavendra Saini — B.Tech Project Student — RL and LLM techniques for dynamic network slicing.
- Aman Pandya — B.Tech Project Student — Drone-based performance: edge vs. classical network support.
- Jasmer Singh Sanjotra — B.Tech Project Student — Causal world model–based RL (prior year).
Collaborators
- Prof. James Gross — KTH Royal Institute of Technology — causal AI for networks
- Prof. Goutam Das — IIT Kharagpur — optical access networks and QoS
- Prof. Tansu Alpcan — University of Melbourne — game theory and security
- Prof. Marimuthu Palaniswami — University of Melbourne — networked sensing
- Ericsson Research — industry collaboration