collaborators

5 papers

eess.SP2026

Calibrating the Digital Twin Channel: Statistics-Consistent Sim-to-Lab Adaptation for W-Band Industrial OFDM Links

Pulok Tarafder, Abigail O. Oyekola, Jasni Areepatta Mannil +4

Digital twins (DTs) can reduce over-the-air validation cost in industrial wireless networks, but their utility depends on the fidelity of the underlying channel twin (CT). At W-ban…

cs.AI2026

From Agent Failure Paths to Quantified Residual Risk: A Compositional Framework for Resilient Agentic AI

Hassan Karim, Sai Sitharaman, Deepti Gupta +1

Agentic AI is crossing trust boundaries faster than current risk models can represent. Existing approaches provide one of two partial views. They either describe failure mechanisms…

eess.SP2026

Digital-Twin Empowered Deep Reinforcement Learning For Site-Specific Radio Resource Management in NextG Wireless Aerial Corridor

Pulok Tarafder, Zoheb Hassan, Imtiaz Ahmed +3

Joint base station (BS) association and beam selection in multi-UAV aerial corridors constitutes a challenging radio resource management (RRM) problem. It is driven by high-dimensi…

cs.IT2025

Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor

Pulok Tarafder, Imtiaz Ahmed, Danda B. Rawat +2

Base station (BS) association and beam selection in multi-cell drone corridor networks present unique challenges due to the high altitude, mobility and three-dimensional movement o…

eess.SP2025

Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference

Majumder Haider, Imtiaz Ahmed, Zoheb Hassan +3

This paper investigates the significance of designing a reliable, intelligent, and true physical environment-aware precoding scheme by leveraging an accurately designed channel twi…