Dr Hannan Azhar, PhD, SFHEA, is a computing academic whose work spans artificial intelligence, digital health, IoT, and cyber security. His research focuses on intelligent technologies for healthcare and other real world applications, particularly trustworthy AI, deep learning, transformer based methods, pattern recognition, and data driven approaches to complex practical challenges. He has extensive experience in interdisciplinary collaboration, programme leadership, curriculum innovation, and external engagement, including work with partners in areas such as healthcare, ecology, and digital forensics.
ORCID profile: https://orcid.org/0000-0003-1190-6644
Postgraduate supervisions
- Trustworthy AI for Ambient Assisted Living (PhD)
- Computational analysis for firearm gunshot forensics (PhD)
- Steganography forensics using deep learning (PhD)
- Smart and Secure Tele neurorehabilitation framework (PhD)
- Identification of non-biting midges (Chironomidae) using deep learning techniques (MSc by Research)
- Correlation of Distance and Damage in a Ballistic Setting - an application of Machine Learning algorithms (MSc by Research)
- A framework for a real-time management accounting system (MSc by Research)
Recent blog
