Md Ashikul Haque

Md Ashikul Haque is a PhD candidate in the Department of Computer Science at the University of Texas at Dallas, advised by Prof. Abusayeed Saifullah. He received a Master’s degree in Computer Science from Wayne State University in 2024.

When a large language model (LLM) agent drives a physical actuator, its answer is useful only if it arrives before the control deadline, and generating tokens takes time that the deadline may not allow. That is the shape of the problem Ashikul works on. He asks how a system stays correct and on time when the resource it depends on is contested, whether that resource is a token budget, airtime, spectrum, or the energy left in a battery.

His work spans deadline-aware scheduling for LLM agents that act on physical devices, cross-technology communication that gives long-range nodes a working downlink, physical-layer defenses that keep LoRa networks running under jamming attacks, learning-based coexistence management for dense low-power wide-area network (LPWAN) deployments, and real-time scheduling for industrial wireless networks.

His work has been published in top conferences, including ACM/IEEE SenSys, IEEE RTSS, IEEE INFOCOM, ACM MobiHoc, ACM/IEEE IoTDI, and ACM EWSN. The research page describes each area in more detail, and the publications page lists every paper.