Rate My Professor Amin Al-Habaibeh

Professor Amin Al-Habaibeh is Professor of Intelligent Engineering Systems within the Product Design team at the School of Architecture, Design and the Built Environment, Nottingham Trent University, appointed in August 2014. He earned his PhD in Advanced Manufacturing Technologies and MSc in Manufacturing Systems from the University of Nottingham, and BSc in Industrial Engineering (Design and Manufacturing) from the University of Jordan. Before joining NTU in 2004 as a senior lecturer, he held leading research roles at the Rolls-Royce University Technology Centre, University of Nottingham, and the Mechatronics Research Centre, Loughborough University. Earlier positions included research in robotics labs at Tampere University of Technology, Finland, and work in the plastic industry. He advanced to Reader in Advanced Design and Manufacturing Technologies in 2011. A Chartered Engineer and member of the Institution of Engineering and Technology (IET), he served as past chair of the IET East Midlands Region (2007-2008) and Derbyshire/Nottinghamshire local network panel (2007-2010). He is a Chevening Alumnus and Saïd Foundation Alumnus, with over 30 years of industrial research collaboration, including eight years as industrial placement adviser.

Al-Habaibeh's research focuses on product design and innovation, automation, energy, condition monitoring, artificial intelligence, infrared thermography, sustainability, sensor fusion, mechatronics, and intelligent machines. He leads the Innovative and Sustainable Built Environment Technologies research group (iSBET), directs the Product Innovation Centre (PIC), and co-founded the Advance Design and Manufacturing Engineering Centre (ADMEC). He previously acted as national Director of the Doctoral Training Alliance for Energy (DTA-Energy), a consortium of 14 UK universities addressing energy and sustainability challenges. With over 100 international journal and conference publications and two patents in medical and energy sectors, his work garners 3,372 citations. Key publications include 'Assessing air quality and physical risks to E-scooter riders in urban environments through artificial intelligence and a mixed methods approach' (Applied Energy, 2024), 'A novel method of using sound waves and artificial intelligence for the detection of vehicle's proximity from cyclists and e-scooters' (MethodsX, 2024), 'Experimental study for evaluating the response of the power take off of a point absorber wave energy generation system using a hydraulic wave simulator' (Ocean Engineering, 2023), and 'Towards more sustainable urban transportation for NetZero cities: assessing air quality and risk for e-scooter users using sensor fusion and artificial intelligence' (Energy Proceedings, 2023). His innovations earned two 'Highly Commended' certificates at the IET Innovation Awards 2012 in Product Design and Healthcare Technologies. He has served as external examiner at universities including Nottingham, Loughborough, Cardiff, and international institutions, and referees high-impact journals.