Mahardhika Pratama is currently an associate professor and enterprise fellow in AI at the academic unit of STEM, University of South Australia, Adelaide, Australia. Prior to this appointment, he was an assistant professor at the school of CSE, Nanyang Technological University, Singapore from 2017 to Jan 2022, a lecturer at the department of CSIT, La Trobe University, Melbourne, Australia from 2015 to 2017 and a postdoctoral research fellow at the University of Technology Sydney, Sydney, Australia from 2014 to 2015. Mahardhika earned a PhD degree from the University of New South Wales, Australia in Nov 2014, a M.Sc degree from Nanyang Technological University, Singapore in Nov 2011 and a B.Eng degree from Institut Teknologi Sepuluh Nopember, Indonesia in Mar 2010.

The research focus of Mahardhika is in deep learning where he is an active researcher in continual learning, lifelong learning, incremental learning, stream learning, fuzzy neural networks, and intelligent control systems. The goal of his study is to develop a deep learning algorithm that can learn forever as the case of biological learning. The application domain of his study includes manufacturing and satellite systems. He mainly published his works in IEEE TNNLS, IEEE TFS, IEEE TCYB, AAAI, SIGKDD, ICDM, ECML PKDD, CIKM, etc. and serves as an associate editor of IEEE TNNLS, IEEE TFS, INS, KBS, CAIS, Complexity, EVOS, JDC. His works have been recognized by several research awards such as 2019 IEEE TFS prestigious publication award, 2019 Amity researcher award in data streams, 2014 and 2013 UNSW high-impact publication award, and 2011 IES prestigious engineering achievement award. Mahardhika has secured ~$4 million in research funding where 7 PhD students and 6 postdoctoral research fellows have graduated successfully under his supervision. 4 of whom currently work as an assistant professor at reputed universities such as IIIT, Hyderabad, India, Huazhong University of Science and Technology, China, University of Bristol, UK.


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