I am a lecturer in the Software Engineering Department at Universiti Kuala Lumpur Malaysian Institute of Information Technology (MIIT). I hold a PhD in Computing Science with a focus on Human-Computer Interaction (HCI) and Machine Learning from the University of Glasgow, Scotland, UK. My PhD thesis, titled “Machine Learning Techniques for Implicit Interaction Using Mobile Sensors,” is available here. I have been an active researcher since 2010, publishing numerous papers in the field of human-computer/machine interaction (HCI).

My research primarily focuses on addressing complex inferential HCI problems involving large, high-dimensional data sets using machine learning techniques, potentially in real-time. Currently, I am exploring the use of sensor data from wearables, smartphones, IoT devices, and prototype sensing devices to model and infer human interactions implicitly. The ultimate goal is to develop transparent interaction techniques that can enhance and improve standard human-device interactions.

Outside of academia, I am a road cycling enthusiast and casual runner. I typically go for long rides on weekends and use MyWhoosh for rides on weekday evenings. I occasionally participate in races when my schedule allows. Most of my runs are during the weekdays. You can find me on Strava to track my cycling and running activities.

Feel free to reach out to me to discuss academic matters, PhD opportunities, research collaborations, or consultations.