Dr Hasan Shaheed
PhD (Sheffield), PGCAP (London), SFHEA, MIEEE, CEng, MIET, NTF

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Research Overview

Interests

Design, models development, control and optimisation of autonomous, robotics and renewable energy systems using traditional, artificial intelligence (AI) and machine learning (ML) approaches. Application areas include,

[1] Aerial Robotics and Solar Aerial Robotics for inspection and monitoring
[2] Medical Robotics: Capsule robot for GI tract inspection, Surgical robots, Retractor for surgery
[3] Assistive technologies: prosthetics  and elderly care robots
[4] Robotics for remote inspection and handling: Leader-follower robot and pipe-inspection robot
[5] Renewable Energy Systems: PV, Wind turbine, Osmotic Power/Blue Energy and hybrid technologies
[6] Water Treatment: Desalination/Water Treatment powered by hybrid renewable energy technologies
[7] Expert systems with application to disease prognosis and classification

AI/ML approaches Dr Shaheed investigates and uses in his research include, deep learning, reinforcement learning neural networks, fuzzy logic, biologically inspired optimisation techniques: GAs, Whale Optimisation, Grey Wolf Optimisation, Cuckoo optimisation algorithm, Particle swarm, Ant colony, Bee colony etc.

Output and impact:

Published over 100 refereed research articles in quality journals and conference proceedings. According to ‘Web of Knowledge/Science’, my h-index is 24 (27, Scopus; 32, Google Scholar), with an average citation of over 51 per year.

The design and experimental validation of a novel locomotion concept for an endoscopic capsule robot resulted in a patent at the PCT stage and an international patent publication (PCT/EP2021/075342, 2022/058354/A1) as well as a US Patent Application publication (US 2024/0023794/A1). I received an Engagement and Enterprise Award for the development of a novel locomotion technology for a robotic capsule endoscope for GI tract (Colon) screening. I also received the Barts Innovation in Healthcare Award in Medical Deviceand Impact Acceleration Account Award from Queen Mary Innovation (QMI) due to the commercial potential of several of my research outputs.

I led the development of a proof-of-concept ‘solarcopter’, a prototype that was the world’s first quadrotor to fly solely on solar power, which received immense media attention. I also led the invention of the world’s smallest solar micro aerial vehicle (MAV) published in Nature Scientific Reports and featured by the PV Magazine, a world-leading solar media platform. I was invited to apply for the Eni Award, one of the most prestigious awards in the field of renewable energy-driven technology, in recognition of my contributions to the field.

I was awarded a UK National Teaching Fellowship (NTF), the most prestigious UK teaching and learning award, for promoting research-informed teaching by applying my research findings.

***Potential students willing to pursue a PhD in any of the fields mentioned above are encouraged to contact me.