ProfessorSunil Gupta
Head, AI, Optimisation and Materials Discovery
Deakin Applied Artificial Intelligence Initiative/Applied Artificial Intelligence Initiative (Geelong)
Orcid identifier0000-0002-3308-1930 (opens in a new tab)
- Head, AI, Optimisation and Materials DiscoveryDeakin Applied Artificial Intelligence Initiative/Applied Artificial Intelligence Initiative (Geelong)
- +61 3 522 73109 (Work)
- Geelong Waurn Ponds Campus, 75 Pigdons Road, Waurn Ponds, Victoria 3216
TEACHING EXPERTISE
In 2016 and 2017, I developed from scratch the unit "Introduction to Machine Learning (SIT720)" and delivered it as Unit chair for Master of Data science program at School of IT at Deakin University.
TEACHING ACTIVITIES
- CURRENT DOCTORAL SUPERVISIONEmpathetic Reinforcement Learning Agents
- CURRENT DOCTORAL SUPERVISIONKnowledge Distillation under Practical Constraints for Models and Datasets
- CURRENT DOCTORAL SUPERVISIONDomain Generalisation and Continual Learning
- CURRENT DOCTORAL SUPERVISIONTowards Reliable Large Language Models for Open-Ended Question Answering
- CURRENT DOCTORAL SUPERVISIONMinimal-Support Activation Steering for Controllable Language Models
- CURRENT DOCTORAL SUPERVISIONGenerative Models for Tabular Data
- COMPLETED DOCTORAL SUPERVISIONBayesian nonparametric learning of contexts and activities from pervasive signals
- COMPLETED DOCTORAL SUPERVISIONBuilding Stable Predictive Models for Healthcare Applications: A Data-Driven Approach
- COMPLETED DOCTORAL SUPERVISIONAddressing Practical Challenges of Bayesian Optimization
- COMPLETED DOCTORAL SUPERVISIONEfficient Hyperparameter Tuning using Bayesian Optimization
- COMPLETED DOCTORAL SUPERVISIONMachine learning to fight addiction using social media
- COMPLETED DOCTORAL SUPERVISIONHarnessing Auxiliary Knowledge Towards Efficient Bayesian Optimisation
- COMPLETED DOCTORAL SUPERVISIONScalable Bayesian Optimization with Sparse Gaussian Process Models
- COMPLETED DOCTORAL SUPERVISIONMulti-objective Bayesian Optimisation and Its Applications
- COMPLETED DOCTORAL SUPERVISIONA Distributional Approach towards Efficient and Versatile Bayesian Optimisation
- COMPLETED DOCTORAL SUPERVISIONTackling Practical Challenges in Neural Network Model Deployment
- COMPLETED DOCTORAL SUPERVISIONBayesian Optimization for Discrete, Missing and Cost-sensitive Inputs
- COMPLETED DOCTORAL SUPERVISIONAccelerating Bayesian Optimisation with Advanced Kernel Learning Methods
- COMPLETED DOCTORAL SUPERVISIONOn Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency
- COMPLETED DOCTORAL SUPERVISIONLearning Dependency Structures Through Time Using Neural Networks
- COMPLETED DOCTORAL SUPERVISIONBlack-Box Optimization Using Deep Neural Networks
- COMPLETED DOCTORAL SUPERVISIONTowards Robust, Fair, and Privacy-Aware Domain Generalization
- COMPLETED DOCTORAL SUPERVISIONAdvanced Methods for Cross-Domain Reinforcement Learning
- COMPLETED DOCTORAL SUPERVISIONActive Level Set Estimation: Continuous Spaces, Transfer Learning, and High Dimensionality