Rate My Professor Lu Gan

Dr. Gan's research centers on fundamental signal processing and machine learning theories applied to image and video coding and processing, non-destructive terahertz and ultrasound imaging, machine learning in wireless communications, AI model generalization and robustness, AI for safety and cyber-security, post-quantum blockchain and IoT applications, high dynamic range signal sampling using Modulo ADC, and sparse signal processing for 5G wireless communication systems. Her work has attracted funding from the Australian Research Council, EPSRC, Innovate UK, BBSRC, UK Atomic Energy Authority, and TWI. She has received the Best Paper Award on Cryptography and Security from the Journal of The British Blockchain Association in 2022 and a Gold Medal for Task 2, 'Robust anomaly sound detection framework for machine condition monitoring,' at the IEEE DCASE 2022 Challenge. Selected publications include 'A novel sparse adaptive filter for suppressing impulsive disturbance in audio signals' (Signal Processing, 2025), 'Cross Domain Optimization for Speech Enhancement: Parallel or Cascade?' (IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024), 'Development of an effective relay communication technique for multi-UAV wireless network' (IEEE Access, 2024), 'Convex optimization-based high-speed and security joint optimization scheme in optical access networks' (Optics Express, 2024), and 'Robust Precoding for HF Skywave Massive MIMO with Slepian Transform' (IEEE Transactions on Communications, 2024). A Senior Member of IEEE, she serves as Associate Editor for IEEE Signal Processing Letters and IEEE Transactions on Circuits and Systems-I, Meta Reviewer for ICASSP 2025, and reviews grants for EPSRC, STFC, and FWO Belgium. She also directs undergraduate teaching and learning.