Members

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Chandan Karmakar (Co-Director)

Associate Professor of Computer Science

Dr Chandan Karmakar received his PhD from the University of Melbourne ( Australia) in 2012. He is currently working as a Lecturer, in the School of Information and Technology, Deakin University, Australia. He has extensive research experience in Biomedical devices and Signals processing, IoT in Healthcare, Health Informatics and AI in Healthcare. Dr Karmakar has published more than 120 refereed research articles (including one book). For further details of his publications, please explore his: Google Scholar, ResearchGate accounts.
 

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Sutharshan Rajasegarar (Co-Director)

Associate Professor of Computer Science

Dr Sutharshan Rajasegarar received his PhD from the University of Melbourne, Australia, in 2009. He is currently a senior lecturer at the School of Information Technology, Deakin University, Melbourne, Australia. His research interests include anomaly/outlier detection, machine learning, sports and health analytics, computer vision, Artificial Intelligence (AI), wireless communications, cybersecurity, and Internet of Things (IoT).

 

Ye Zhu

Senior Lecturer of Computer Science

Dr Ye Zhu got his PhD in Machine Learning and Data Mining with a Mollie Holman Medal for the best doctoral thesis of the year from Monash University in 2017. He achieved his M.Sc. in Computing at Imperial College London, UK. His research works focus on the fields of data mining and machine learning. Particular topics include clustering analysis, anomaly detection, similarity learning and their applications for pattern recognition and information retrieval. Most research outcomes have been published in top-tier conferences and journals, including SIGKDD, IJCAI, AAAI, VLDB, ICML, ICDM, Artificial Intelligence Journal, Pattern Recognition Journal and Machine Learning Journal. He is an IEEE Senior Member and ACM Member. 

 

Ahsan Habib - Lecturer - Deakin University | LinkedIn

Md Ahsan Habib

Lecturer of Software Engineering

Dr Ahsan Habib received his PhD from Deakin University, Australia in 2022. He is currently a lecturer of School of Information Technology at Deakin University. His work focuses specifically on the interpretability mechanisms of deep learning (DL) models to ensure developing trustworthy DL solutions for sensitive domains such as healthcare. He is working in a project developing IoMT data capture platform for BLE sensors and monitoring in daily living conditions. He lives in Melbourne and loves to travel.

 

Iynkaran NATGUNANATHAN | Deakin University | School of Information Technology | Research profile

Iynkaran Natgunanathan

Lecturer of Data Science

Dr. Iynkaran Natgunanathan earned his PhD from Deakin University, Australia, in 2012. Presently, he serves as a lecturer at the School of Information Technology, Deakin University, Melbourne, Australia. His diverse research portfolio encompasses biomedical signal processing, safeguarding physiological signal privacy, and addressing privacy concerns in smart metering and location tracking. Dr. Natgunanathan’s expertise extends to machine learning and digital watermarking. He boasts a prolific publication record, with over 40 research articles featured in esteemed conferences and journals.

Secondary Members

Dr Ming Liu

Prof. Gang Li

Dr Sunil Aryal

A/Prof Jianxin Li 

Dr Chatu Ranaweera 

Dr Imali Dias

Dr Mohamed Reda Bouadjenek 

 

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