Hisham Jaward

Hisham Jaward is a Lecturer in Computing and AI at the University of Suffolk within the School of Business, Arts, Social Sciences and Technology. He joined Suffolk after twelve years at Monash University and prior research roles at the University of Bristol (funded by QinetiQ) and Imperial College London (funded by BAE Systems and QinetiQ), where he developed algorithms for military communications, target tracking, and image super-resolution.

Research Interests
His expertise spans computer vision, machine learning, and deep learning with applications in medical imaging (knee cartilage segmentation), IoT security (intrusion detection), communication systems (mm-wave/RoF), and image processing. Funded projects include military interference mitigation, airborne contaminant tracking, and semantic segmentation frameworks.

Publication Trends
Recent work (2020-2022) emphasizes deep learning integration across medical imaging (Neurocomputing, Artificial Intelligence in Medicine) and IoT security (Sensors, IEEE Access), featuring techniques like variational autoencoders, diffeomorphic mapping, and focal loss. Collaborations include Alfred Hospital for cartilage analysis and Motorola Solutions for radio systems.

Supervision and Grants
Successfully supervised four research students with projects on mm-wave communication systems and cartilage segmentation (collaborating with Alfred Hospital). Current supervision includes:

• Motorola Solutions-sponsored research on machine learning for interference mitigation in two-way radio systems
• Flow models development for image/video compression

Teaching experience encompasses ten undergraduate/postgraduate modules at Monash including deep learning, probability theory, and networking.