He has been leading in design and teaching range of modules including Robotics, Internet of Things (IoT), Artificial Intelligence (AI), Advanced Programming and Research Methods. Dr Azhar's PhD was on AI techniques applied to pattern recognition tasks and MSc was on Evolutionary Robotics using embedded AI controller in the hardware. He has a track record of research and publications in the area of assistive technologies, AI robotics, IoT, Human and wildlife biometrics and security in ubiquitous hardware systems; such as SMART home IoT, drones etc. Over years, he has successfully secured funding in several IoT, robotics, cybersecurity and assistive technology projects in collaboration with leading SMEs in the area.
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)
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