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. His research interests include LPWAN and wireless IoT systems, resilient and secure communication, MAC and scheduling, and AI-assisted coexistence management. His work has been published in top conferences, including ACM/IEEE SenSys, IEEE INFOCOM, IEEE RTSS, ACM MobiHoc, ACM/IEEE IoTDI, and ACM EWSN.
Ashikul’s research develops systems, protocols, and AI-assisted methods for LPWAN and wireless IoT networks. His work focuses on resilient and adaptive communication under interference, coexistence, and jamming, including LoRa anti-jamming defenses, learning-based coexistence management, cross-technology communication from LR-FHSS to LoRa, and MAC and scheduling mechanisms for bursty, reliable, and time-sensitive traffic in IoT and cyber-physical settings. He evaluates these systems through PyTorch-based learning, NS-3 simulation, SDR prototyping with GNU Radio and USRP, and outdoor or testbed experiments.
- [04/2026] Paper accepted at IEEE ICCCN 2026: "ReMix: Resource-Reclaiming Mixed-Criticality Scheduling for Industrial IoT."
- [03/2026] Paper accepted at EWSN 2026: "Decoding LoRa Packets under Collaborative Jamming Attacks."
- [01/2026] Paper accepted at ACM/IEEE SenSys 2026: "Enabling Cross Technology Communication from LR-FHSS to LoRa."
- [10/2025] Presented our work at the MobiHoc conference at Rice University, Houston.
- [06/2025] Paper accepted at ACM MobiHoc 2025: "Handling Jamming Attacks in a LoRa Network."
- [01/2025] Paper accepted at IEEE INFOCOM 2025: "Deep Reinforcement Learning Based Coexistence Management in LPWAN."
- [12/2024] Paper accepted at IEEE RTSS 2024: "Burst Traffic Management in LoRa Networks."
- [05/2024] Obtained MS degree from Wayne State University.
- [05/2024] Presented our work at CPS-IoT Week held in Hong Kong Science and Technology Park.
- [04/2024] Paper published at ACM/IEEE IoTDI 2024 on handling jamming attacks in a LoRa network.