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.