Farhan Mohamed, PhD
UTM Educational Goals
As an academician, I need to be aware and embrace the educational goals set by the institution. UTM has a holistic goals. So, what are the UTM Educational Goals? Here I list the UTM Educational Goals which were set by the UTM. These goals are rooted on four key...
Racing bar chart with online daily updated data
I created the following racing bar chart tutorial months ago in showing how anyone can create, animate and gain insight from a live data and an animated chart. If you run the codes, it is horrified to see that the coronavirus threat is worryingly becoming worse in...
My four ingredients in teaching and learning programming throughout the MCO “lockdown”
The introduction of the MCO has led to the stop of all face to face lectures. Although online learning has been around for sometimes, It has never been in such limelight and needs as of today. Teachers and lecturers are no more assisted by the well-equipped labs,...
Opinion – Surviving COVID19 social distancing digitally
On the 11th of March 2020, WHO declared COVID19 as a pandemic. The spread of the virus through human-to-human contacts has made social interactions and our everyday activities from meetings, travelling, to even shopping constrained. As advised by the WHO and the...
Biography
Assoc. Prof. Ts. Dr. Farhan Mohamed is an Associate Professor at Universiti Teknologi Malaysia and Head of the Department of Emergent Computing. His research focuses on AI, computer vision, visual analytics, and immersive computing, with applications in medical imaging, digital twin systems, biodiversity genomics, and human–AI interaction. He is actively involved in industry collaboration, international research partnerships, IEEE professional service, and postgraduate supervision.
My Research Focus
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Artificial Intelligence & Deep Learning for Visual Analytics
My team and I develop and apply deep learning and AI techniques to analyse complex visual data, with a strong focus on medical image analysis (e.g. Alzheimer’s disease and cancer imaging), explainable AI, and robust feature representation to support reliable decision-making.
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Computer Vision & Spatial Intelligence
My team and I conduct research in computer vision, focusing on visual perception, spatial mapping, and localisation, including SLAM, depth sensing, and multi-sensor fusion for robotics, augmented reality, and intelligent vision-based systems.
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Visualisation & Visual Analytics
My team and I design interactive and comparative visualisation techniques that enable effective exploration and interpretation of large and complex datasets, including genomics data, simulation outputs, and engineering analytics.
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Extended Reality (XR) & Human–AI Interaction
My team and I investigate immersive interaction and human-centred AI using augmented, virtual, and mixed reality technologies, focusing on user experience, interaction design, and immersive analytics for training, education, healthcare, and decision support.
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Digital Twin & Industry-Driven AI Systems
My team and I work on AI-enabled digital twin frameworks for industrial applications, particularly in structural integrity and pipeline systems, integrating surrogate modelling, predictive analytics, and MLOps pipelines for real-world deployment.
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Biodiversity, Genomics & Scientific Data Platforms
My team and I lead interdisciplinary research integrating AI, visual analytics, and open data platforms for biodiversity and genomics, including the development of comparative genomics visualisation tools and digital dashboards.
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Dr Farhan Mohamed
head of department (dEPARTMENT OF EMERGENT COMPUTING, FACULTY OF COMPUTING, UTM)
ASSOCIATE PROFESSOR (FACULTY of Computing, UTM)
Research Fellow (MaGICX UTM)
Executive committee, IEEE COMPUTER SOCIETY MALAYSIA (2025-2026)
Academic and Professional focus area:
Visual Analytics
Data Visualisation. Finding new insights out of Data. Data visualisation helps on exploring the data, analyse some statistics, or to present and information.
Focus areas are Scientific visualisations (medical informatics and DNA visualisation) and Information visualisations.
Human Computer Interaction (HCI)
Human Computer Interaction is a field where User Experience (UX) is emphasised. New interaction technologies and IoT allowed human to interact and be more integrated with computers thus increase the interactions between us and machine.
Assoc. Prof. Ts. Dr. Farhan bin Mohamed
AI and visual analytics researcher specialising in deep learning, computer vision, and immersive computing (AR/VR/XR). Research interests include medical image analysis, digital twin systems, comparative visualisation, biodiversity genomics analytics, and human–AI interaction, with applications in healthcare, engineering, and environmental domains.
About me
