Dr Malik Haddad is an Assistant Professor in Data and Computer Science and Programme Leader for the Artificial Intelligence and Data Science Level 7 and Data Science Level 6 Apprenticeship programmes at the Centre for Apprenticeships, Northeastern University London. He is also an active member of the Universal Design for Learning (UDL) Committee at Northeastern University London, a volunteer engineer at Chailey Heritage Foundation, and a volunteer associate member of the Portsmouth Parents Board — roles that reflect a career defined by service to vulnerable communities and a genuine commitment to inclusion.
Dr Haddad holds a BSc in Electronic Engineering (2006), an MSc in Electrical and Computer Engineering with Distinction (2007), and a PhD in Intelligent Decision Making applied to Management and Engineering (2019).
Dr Haddad’s current research interests include intelligent decision making and Multiple Criteria Decision Making, assistive technologies and powered mobility devices, robotics and obstacle avoidance, AI and machine learning, Intelligent Systems and Human-Machine Interfaces (HMI). Dr Haddad’s research pioneers the application of Artificial Intelligence, Deep Learning, and Artificial Neural Networks to assistive technology — developing first-generation intelligent collision avoidance systems and HMI that enable severely disabled powered wheelchair users to move safely and independently.
Dr Haddad is a Fellow of the Higher Education Academy (HEA), a certified Project Management Professional (PMP) from the PMI, a Chartered Engineer (CEng) from the IET, and a Senior Member of the IEEE.