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. His research interests include Internet of Things, Wireless Networks, and Machine Learning. 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 applies machine learning to enhance IoT and wireless networks by building telemetry-driven adaptation and coordination mechanisms for low power systems. He develops end to end pipelines that couple PyTorch models with practical PHY and MAC designs and SDR based signal processing (GNU Radio, USRP), enabling learning guided decisions for coexistence, reliability, and robustness under interference and jamming, validated through NS-3 simulation and experiments on testbeds.

• [01/2026] Paper accepted at ACM/IEEE SenSys 2026 on 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 on jamming defenses for LoRa networks.
• [12/2024] Paper accepted at IEEE RTSS 2024 on burst traffic handling 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 LoRa networks.