research
Dr Azizi leads the Relational Machines Research Group which is affiliated with the Human-Centred Computing Lab at School of Computing. His research aims to computationally model mechanisms of our cognitive functions and behaviours in order to build digital artefacts and robots/machines that are intuitive to support us. His other interests include multi-agent systems, sociable robots, human-machine interaction, and big data analytics.
Current Research Projects:
- Digital Twins Models for Human-Robot Engagement and Personalized Learning
- Computational Thinking and Digital Story Telling
- Computational Empathy for Socially-Interactive Therapeutic Robots
- Deep Learning Approach for Personalization Augmented Reality Applications in Point of Interest Recommendation.
- Multi-agent Simulation for Fear Contagion over Social Networks
- Modeling Long-Term Trust for Human-Robot Collaboration on Behaviour Change Interventions
- Togetherness: Modeling Virtual Community Participation among Social Media Users
- SERENDIPITY: Sense of Connectedness among Strangers in a Social Space
Completed Research Projects:
- Fear-Not: A Multi-agent Model of Fear of Crime
- Big Data Analytics for Financial Fraud & Get Rich Scheme Models
- Help.Me: The Dynamic Configuration Algorithm for Social Support Assignment via Social Media
- IQRA': The Reading Companion Robot
- Temporal Analysis of Automaticity and Decision Making Process for Demanding Tasks
- CAKNA: Robot-based Platform for Cognitive Therapy
- EvACT: Virtual Training Environment for Flood Victims at the Evacuation Centre
- Friendly Robot: Robot-based Learning Platform for Slow Learners
- The NILE: A Personal Digital Support of Persons with Stress
- Can I Trust You ? Exploring the underlying Mechanisms of Digital Trust within Human-Robot Collaboration Towards Specific Goal
Collaborators:
- Neuroscience Research Centre, Universiti Sains Malaysia
- Faculty of Mechanical Engineering, Universiti Malaysia Perlis
- Central Bank of Malaysia