A/Prof. Santu Rana

STAFF PROFILE

Position

Head, AI and Robotics

Faculty

Applied Artificial Intel Inst

Department

A2I2P

Campus

Geelong Waurn Ponds Campus

Contact

santu.rana@deakin.edu.au
+61 3 522 71253

Publications

No publications found

Funded Projects at Deakin

Australian Competitive Grants

ARC Research Hub for Digital Enhanced Living

Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, David Varley, Nicole Cockayne, Dr Leonard Hoon, Dr Tanya Petrovich, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Dr Scott Barnett, Prof Deborah Parker, Ms Sharon Grocott, Dr Tom McClean, Prof Jean-Guy Schneider, Dr Jessica Rivera Villicana, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Mr Fernando Escorcia, Dr Gnana Bharathy

ARC Industrial Transformation Research Hubs

  • 2023: $18,750
  • 2021: $388,477
  • 2020: $385,381
  • 2019: $399,716
  • 2018: $449,083
  • 2017: $601,698

A Generic Framework for Verifying Machine Learning Algorithms

Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran

ARC - Discovery Projects

  • 2023: $133,116
  • 2022: $125,478
  • 2021: $122,286

Optimising treatments in mental health using AI

Prof Helen Christensen, Prof Svetha Venkatesh, Prof Henry Cutler, Ms Ros Knight, Dr Martin Laverty, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran, Dr Thomas Quinn, Prof Rajesh Vasa, Prof Kon Mouzakis

MRFF (DISER) - Applied Artificial Intelligence Research in Health

  • 2023: $690,221
  • 2022: $999,770
  • 2021: $1,431,416

Other Public Sector Funding

Al Algorithmic Assurance

Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran, Dr Anh Cat Le Ngo, Dr Phuoc Nguyen, Mr Stephan Jacobs, Dr Dang Nguyen

Department of Defence

  • 2021: $248,140
  • 2020: $208,820
  • 2019: $80,640

Defence Applied Al Experiential CoLab

Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran

DSTO Grant - Research - Defence Science & Technology Organisation

  • 2021: $100,000
  • 2020: $873,495

In relation to Assuring an off-the-shelf AI algorithm

Prof Sunil Gupta, Prof Truyen Tran, A/Prof Santu Rana, Prof Svetha Venkatesh, Dr Phuoc Nguyen, Mr Tiep-Trong Nguyen, Mr Stephan Jacobs

Defence Science and Technology Group - Department of Defence

  • 2022: $85,000
  • 2021: $168,034

Development of Bayesian optimisation tools for accelerated design and discovery of non-magnetic structural damping alloys

A/Prof Shannon Ryan, A/Prof Santu Rana, Dr Stewart Greenhill, Dr Julian Berk

Defence Science and Technology Group - Department of Defence

  • 2022: $36,505
  • 2021: $83,000

Coupled self-supervised learning and deep reasoning for improved processing of noisy and dynamic multimodal data from multiple sources.

Prof Truyen Tran, A/Prof Shannon Ryan, Prof Sunil Gupta, A/Prof Santu Rana, Prof Svetha Venkatesh

Department of Defence

  • 2022: $105,364

Coupled self-supervised learning and deep reasoning for improved processing of noisy and dynamic multimodal data from multiple sources

Prof Truyen Tran, A/Prof Shannon Ryan, Prof Sunil Gupta, A/Prof Santu Rana, Prof Svetha Venkatesh

Defence Science and Technology Group - Department of Defence

  • 2023: $423,000

Industry and Other Funding

ARC Research Hub for Digital Enhanced Living

Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, David Varley, Nicole Cockayne, Dr Leonard Hoon, Dr Tanya Petrovich, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Dr Scott Barnett, Prof Deborah Parker, Ms Sharon Grocott, Dr Tom McClean, Prof Jean-Guy Schneider, Dr Jessica Rivera Villicana, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Mr Fernando Escorcia, Dr Gnana Bharathy

goAct, Unisono Pty Ltd, Aged Care & Housing Group Inc, Uniting AgeWell, Interrelate Limited, Black Dog Institute, Health Metrics, Uniting NSW.ACT, Dementia Australia (Alzheimer's Australia) Vic Inc, Cancer Council Victoria Grant - Research, NeoProducts Pty Ltd

  • 2022: $793,130
  • 2020: $553,025
  • 2019: $378,745

iCetana - Phase 1 Examine and compare state-of-art methods in background/foreground separation

Prof Svetha Venkatesh, A/Prof Santu Rana, Prof Sunil Gupta, Dr Budhaditya Saha

iCetana Pty Ltd

  • 2020: $50,000
  • 2018: $100,000
  • 2017: $200,000

Machine Learning for Design & Evalution of Complex Armour Systems.

A/Prof Shannon Ryan, A/Prof Santu Rana, Dr Julian Berk

Plasan Sasa Ltd

  • 2023: $46,000

Other Funding Sources

The CRC-P for Advanced Hybrid Batteries

Prof Patrick Howlett, Prof Maria Forsyth, A/Prof Robert Kerr, Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana

Cooperative Research Centres (CRC) Projects Program, Department of Industry, Innovation and Science.

  • 2024: $10,000
  • 2023: $522,192
  • 2022: $189,722
  • 2021: $295,583
  • 2020: $170,546

Supervisions

Principal Supervisor
2023

Buddhika Semage

Thesis entitled: Robust and Efficient Reinforcement Learning for Physics Tasks

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Executive Supervisor
2022

Arun Kumar Anjanapura Venkatesh

Thesis entitled: Accelerating Bayesian Optimisation with Advanced Kernel Learning Methods

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2020

Majid Abdolshah

Thesis entitled: Multi-objective Bayesian Optimisation and Its Applications

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Ang (Leon) Yang

Thesis entitled: Scalable Bayesian Optimization with Sparse Gaussian Process Models

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2019

Tinu Theckel Joy

Thesis entitled: Efficient Hyperparameter Tuning using Bayesian Optimization

Doctor of Philosophy (Information Technology), School of Information Technology

2018

Haripriya Harikumar

Thesis entitled: Machine learning to fight addiction using social media

Doctor of Philosophy (Information Technology), School of Information Technology

Co-supervisor
2024

Xuan Duc Nguyen

Thesis entitled: Learning Dependency Structures Through Time Using Neural Networks

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2021

Deepthi Praveenlal Kuttichira

Thesis entitled: Tackling Practical Challenges in Neural Network Model Deployment

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Tang Thanh Nguyen

Thesis entitled: On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Huu Phuc Luong

Thesis entitled: Bayesian Optimization for Discrete, Missing and Cost-sensitive Inputs

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2020

Julian Maxwell Andrew Berk

Thesis entitled: A Distributional Approach towards Efficient and Versatile Bayesian Optimisation

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Anil Ramachandran

Thesis entitled: Harnessing Auxiliary Knowledge Towards Efficient Bayesian Optimisation

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2019

Thanh Dai Nguyen

Thesis entitled: Addressing Practical Challenges of Bayesian Optimization

Doctor of Philosophy (Information Technology), School of Information Technology

Associate Supervisor
2015

Cheng Li

Thesis entitled: Exploiting side information in Bayesian nonparametric models and their applications

Doctor of Philosophy (Information Technology), School of Information Technology