About me

I am a machine learning researcher focused on deep learning, federated / distributed learning, and multi-modal AI applied to wireless communications and digital healthcare. My current work at UTA’s TWiST Lab explores privacy-aware, scalable ML for spectrum sensing, resource allocation, and interference mitigation in Next-G systems (5G/6G). I also work on practical ML deployments across cloud/edge/mobile.

Research Interests

• Distributed / Federated Learning — anomaly detection, computer vision, privacy retention
• Signal Processing — EEG/ECG/EMG analytics, vibration/acoustic sensing
• Wireless Communications — spectrum sensing, Next-G systems, AI/ML for wireless

News

• 2025: In-Network Fusion for High Interference Signal Detection within CBRS Band — accepted at IEEE INFOCOM 2025.
• 2024–2025: Reviewer for IEEE TMC, ICC, CAAI TIT, Discover Computing/IoT (Springer), The Journal of Supercomputing.
• 2024: Joined UTA (Ph.D., CS) with fully funded scholarship.

Publications

• Khan, S.U., Hwang, T., Koo, I.S. “Radio Environment Map Construction Based on Privacy-centric Federated Learning.” IEEE Access. pdf
• Khan, S.U., Jan, S.U., Koo, I.S. “Robust Epileptic Seizure Detection Using LSTM and Feature Fusion of Time–Frequency EEG Images.” Sensors, 2023. pdf
• Khan, S.U., Hwang, T., Koo, I.S. “Bridging the Connectivity Gap within a PLC and Wi-Fi Hybrid Network.” IJACT, 2023. pdf
• Khan, S.U. “Enhancing PLC-WiFi Connectivity & REM via Federated Learning.” M.S. Thesis, Univ. of Ulsan. thesis
• Rehan, Khan, S.U., Koo, I.S. “Parallel Transformation for Detecting Pulmonary Disorders via Auscultation Sound with Deep Learning.” Bioengineering, 2024. pdf
• Asim Ishaq, …, Khan, S.U., … “Partial Discharge Defect Classification in MV Switchgear Through Deep Learning.” IEEE TIM, 2024. pdf
• Khan, S.U., Debashri Roy. “In-Network Fusion for High Interference Signal Detection within CBRS Band.” IEEE INFOCOM 2025 (accepted).
• Aziz, Khan, S.U., Koo, I.S. “A REM-Based Approach for Occupancy Detection in Smart Buildings.” ICICT (accepted).
• Wasim Zaman, Khan, S.U., … “Advanced Fault Diagnosis in Rotary Machines Using Optimized Transfer Learning.” IEEE TIM (under review).

Full list: Google Scholar

Awards

• Fully Funded Scholarship — University of Texas at Arlington (Ph.D.).
• BK21+ Scholarship — University of Ulsan (M.S.).
• Prime Minister Merit Certificate & Laptop (Pakistan).

CV

Short CV sections:

• Education: Ph.D. CS (UTA, 2024– ), M.S. EE (Ulsan, 2022–24), B.S. EE (UET Peshawar, 2016–20)
• Experience: Graduate Research/Teaching Assistant (UTA TWiST Lab); GRA (Ulsan)
• Skills: Python (PyTorch/TensorFlow, NumPy/Pandas), MATLAB, C/C++; LaTeX, Raspberry Pi

Download full CV (PDF) — place your PDF as cv.pdf in the repo.