OVERVIEW
Dr. Azizi Ab Aziz is the Deputy Dean at Awang Had Salleh Graduate School of Arts and Sciences and the research fellow at Human-Centred Computing Lab, Universiti Utara Malaysia. He is also one of the technical committee members for a number of (inter)national projects such as the National Big Data Analytics Initiative, Digital Malaysia, Inter-Agencies Planning Group for 11th Malaysia Plan, National Bridging Digital Divide (BDD) Programmes, Asia-Pacific Economic Cooperation DOC Mobile Lab, and Kedah Transformation Lab. He received his Ph.D degree in Artificial Intelligence & Cognitive Science from Vrije Universiteit Amsterdam in The Netherlands. His doctoral thesis work with Professor Dr. Jan Treur and Dr. Michel Klein used temporal dynamic models drawn from cognitive science / clinical psychology domains to build a foundation for allowing cognitive robots, ambient agents and assistive technology to support people with cognitive disorders. Prior to joining Universiti Utara Malaysia, he was the AIO researcher at Agent Systems Research Group, VU Amsterdam where he developed computational models for ambient agents to support individuals with unipolar depression. In addition, he was a software engineer at Artificial Intelligence System Development Laboratory (AISDEL), SIRIM Berhad where he designed smart algorithms for a port management system, an automated product scheduler, path-finding robots, and smart card applications. Furthermore, he was the project manager for "Automated Personalized Management System for Diabetic Patients", an award winning project from B|Braun Medical Industries (M) Sdn. Bhd. His research interests are modeling dynamics of (multi) agent and social robotic systems in practical application areas, such as social simulation, assistive technology, cognitive robotics, psychological disorders, and treatments. At this moment, he is primarily investigating the role of social cognition in decision making processes, the design of a personal decision aid system, and the underlying mechanism of human's bio-signals (electroencephalography and electrocardiogram) while facing intense tasks as a basic building block for sociable robots. In addition, he serves on several conference programme committees as a reviewer in the areas of cognitive agents, social simulation, artificial intelligence, and multi-agent systems. Being a researcher by practice, he wants to understand how we use, model, and develop our intelligence to solve problems. Being a technologist by heart, he strives to design a digital artifact that capable to understand, relate, cooperate, and learn like us. This idea can be used as a core technology to construct intelligent human ambient systems (e.g. health coach, digital persuader, cyber-therapy, and serious/educational game).
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