Our faculty members comprise academic staff from the School of Computing, who are experts in the field of (i) Artificial Intelligence (AI), (ii) Computer Vision, and (iii) Robotics.

THEORETICAL COMPUTER SCIENCE, FOUNDATIONS OF DATA SCIENCE

ML, Graph Neural Networks, Sparse Convex Optimization, Spectral Graph Theory

Trusted and Explainable AI, Linking Formal Methods with AI, AI for Sports Analytics.

Causality in Machine Learning, 
Economics of AI, Human Centred AI Solutioning.

AI Governance, Applied Machine Learning, Predictive Analytics.

Graphs, Anomaly detection, 
Robust machine learning.

Data Mining and ml in Finance, 
Computational Social Science

Human Computer/Robot Interface, 
Computer Graphics and Multimedia

Robotics, Decision making and planning, Human robot interaction

 Deep learning, Knowledge representation, 
AI in healthcare

Natural Language Processing, Deep Learning, Recommendation Systems

Human AI collaboration, 
Conversational Agents, AI in Healthcare

Demand forecasting, Human Algorithm coordination, Causal inference

ML-Based Product Design, Economics of AI

Applied Machine Learning, Healthcare analytics, financial analytics.
Associate Director

Healthcare informatics, Digital Transformation, Platforms & Innovation

Computer Vision, Robotics, 
Machine Learning

Data Analytics, Deep Learning, AI in Healthcare

Machine Learning, Planning Under Uncertainty, Approximate Inference.

AI Education

Responsible AI, Dynamic, decision making, Cognitive modeling
Director

AI Education, AutoML, Meta learning.

Machine learning, Planning and decision making, Multi agent/robot systems.

Artificial Neural Networks and Deep Learning, Machine Vision, Fuzzy Logic.

Reinforcement learning, 
Transfer learning, Multi agent learning

Natural Language Processing

Edge AI, Human AI Interaction, 
Systems Support for AI.

Generative conversation, AI-assisted social media, Predictive analytics

Clustering, Data Fusion, 
Medical Informatics.

Information theoretic methods, 
Bayesian optimisation and bandits

Robotic Perception and Manipulation, RL, Differentiable Physics Simulation

Data Privacy, Trustworthy Machine Learning, Federated Learning.

Biometrics, Machine Learning, 
Computer Vision.

Human Robot Interaction, 
generative modeling
Associate Director

Algorithmic game theory, Computational social choice, Resource allocation.

Data Analytics, Unsupervised Learning, 
Graph Analytics.

Computer Vision 
Deep Learning

Constraints, Knowledge Representation, Solvers

Application of Large Language Models (LLMs)
Our faculty members comprise academic staff from the School of Computing, who are experts in the field of (i) Artificial Intelligence (AI), (ii) Computer Vision, and (iii) Robotics.