Professor Saman Halgamuge

Salman Halgamuge
Director, Research School of Engineering
FIEEE, Dr.-Ing, Dipl.-Ing (Data/Electrical Engineering), TU Darmstadt

Saman Halgamuge is a Professor and Director of Research School of Engineering. 

He is a Fellow of the Institute of Electrical and Electronics Engineers and a member of Australian Research Council (ARC) College of Experts for Engineering, Information and Computing Sciences. 

He was a Professor, Associate Professor and Reader and Senior Lecturer in the Department of Mechanical Engineering at The University of Melbourne (1997-2016): 
He contributed as the Founding Director (2013-16) of the elite PhD training centre "Melbourne India Postgraduate Program (MIPP)" of University of Melbourne, which won the "Internationalisation of Research" award of the University, Associate Dean (2013-15) and Assistant Dean (2008-13) in International Engagement in the School of Engineering of University of Melbourne. He supervised 35 PhD students to completion.

Potential PhD students: Please follow this link https://cecs.anu.edu.au/study/graduate-research

Grants, contracts and consultancies:

2 National Health and Medical Research Council (NHMRC) Project Grants

Identification of haematopoietic stem and progenitor cell subpopulations (2017-20) - S Naik, M. Richie and S. Halgamuge [Collaboration with Walter and Eliza Hall Institute]

Why Viral infection limits effectiveness of Anti- Asthma Drugs? (2014-16) [Collaboration with Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne]

4 Australian Research Council (ARC) Discovery Grants

Near-unsupervised computational methods for exploring omic data, ARC Discovery (2015-17)-S. Halgamuge, A. Hsu, M. Niranjan and S.L. Tang [Collaboration with Academia Sinica, University of Southampton and Faculty of Medicine, Dentistry and Health Sciences of University of Melbourne]

9 ARC Linkage Grants with Industry

Optimisation of shallow geothermal systems for Australian schools., ARC Linkage (2017-20)- G. Narsilio, L. Aye, S. Halgamuge, R. Choudhary and K. Woodman [Collaboration with Department of Infrastructure Engineering of University of Melbourne and Cambridge University]

Discovering patterns using near unsupervised learning to support the quick detection of new animal decease outbreaks caused by viruses, ARC Linkage (2014-17)- S. Halgamuge, B. Chang, A. Hsu, I. Saeed, P. Walker, J Li and S. Tang [Collaboration with Academia Sinica, YourGene BioSciences, Peter MacCallum Cancer Centre , CSIRO and Faculty of Medicine, Dentistry and Health Sciences of University of Melbourne]

3 ARC Special Research Initiative grants as CI
 

14 other external research grants

Control the Grid or be Controlled: Near Off-Grid Solutions using Renewable Energy Technologies and Demand Side Prediction,  Australia-Indonesia Centre (AIC) Tactical Research Project (2016-17)

Bioinformatics Research Support, Peter MacCullum Cancer Centre (2016-17)

Optimization of Steel Manufacturing Process, POSCO, South Korea (2014-15)
 
Multiple International industry research contracts from Robert Bosch in Germany, Hubei pvt Ltd (China) and Yeo-Wei pvt Ltd (Taipei) 
 
Visiting Fellowships:
Analysing Biological data with Deep Learning, Research Visits to Japan, Australian Academy of Sciences (2017)

Recent Keynotes:

The 16th International Conference on Bioinformatics (InCoB 2017) (Shenzhen, China, 2017)
 
The 26th International Joint Conference on Artificial Intelligence (IJCAI): Workshop "Bioinformatics and Artificial Intelligence (BAI) (Melbourne, 2017) 
 
International Conference on Computational Biology (ICOCB 2017), (Jakarta, 2017)
 
International Conference on Virtual and Augmented Reality Simulations (ICVARS 2017), (Sydney, 2017)
 
Emerging Big Data Technologies Summit (EBDTS) (Melbourne, 2016)
 
IEEE MERCON (Moratuwa, 2016)
 
6th CSBio (Bangkok, 2015)
 
11th ICIUS (Bali, 2015) 
 
IEEE ICCCS (Greater Noida, 2015)
 
IEEE ICIIS (Gwalior, 2014)
 
IEEE ICCSC (Vancouver, 2014)
 

CV:

Linkedin: https://au.linkedin.com/in/saman-halgamuge-4a49508

 

Data Engineering, Unsupervised Deep Learning and Optimization applied to Biomedical/Mechatronic/Energy Engineering and Business/marketing.

Updated:  8 September 2015/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing