Assoc. Prof. Mahardhika Pratama
Associate Research Professor & Enterprise Fellow,
STEM, University of South Australia,
Office : W2-13, UniSA Mawson Lakes Campus, SA, 5095
Email : firstname.lastname@example.org, email@example.com
Dr. Mahardhika Pratama is an associate research professor and enterprise fellow in AI (Continuing Level D) at the academic unit of STEM, University of South Australia, Adelaide, Australia. His research interest encompasses continual learning, data stream mining, fuzzy machine learning, intelligent control system where he has excellent publication track record in top publication venues such as AAAI, SIGKDD, CIKM, ICDM, SDM, IEEE TCYB, IEEE TNNLS and IEEE TFS. He has led a special issue on autonomous machine learning (AML) in Information Sciences and a workshop on AML in ICDM 2019. Dr. Pratama currently serves as an associate editor in numerous top journals: IEEE TFS, Information Sciences, Knowledge-based Systems, Evolving Systems, Complexity, Journal of Control and Decision as well as an editor in-chief of International Journal of Business Intelligence and Data Mining. He was a program chair of INNS BDDL 2019 and a local chair of ICBK 2019. During his career, Dr. Pratama has secured up to $3 millions in research funding. He has graduated 6 PhD students to completion in timely fashion and 6 postdoctoral research fellows. Because of his excellent research work, he received IEEE TFS prestigious publication award in 2019 and Amity researcher award in data streams in 2019. Last but not least, this achievement is attained only six years after Dr. Pratama obtained his PhD from UNSW in 2014.
March 2022, our paper titled "Unsupervised Continual Learning in Streaming Environments" has been accepted by IEEE Trans. on Neural Networks and Learning Systems
Jan 2022, our special issue on Recent Progress in Autonomous Machine Learning in Information Sciences has been completed. Congratulations to the authors of five papers which have been selected!
Jan 2022, I have joined the School of STEM, University of South Australia as an associate research professor and enterprise fellow in AI
Jan 2022, my Ph. D. student, Abhay Aradya, has passed an oral examination for his thesis, Congratulations !
Dec 2021, my Ph.D. student, Andri Ashfahani, has passed an oral examination for his thesis, Congratulations !
Nov 2021, our paper titled "Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach" has been accepted by IEEE BigData 2021
Oct 2021, my name is listed in the top 2% researchers by Stanford University
Sep 2021, our paper titled "Automatic Online Multi-Source Domain Adaptation" has been accepted by Information Sciences
Aug 2021, the thesis of my Ph.D student, Andri Ashfahani, has passed examination, Congratulations !
Aug 2021, my Ph.D student, Abhay Aradya has submitted his thesis, Congratulations !
Aug 2021, our paper titled "Online Semi-Supervised Learning Approach for Quality Monitoring of Complex Manufacturing Process" has been accepted by Complexity
Aug 2021, our paper titled "Online Sequential Ensembling of Predictive Fuzzy Systems" has been accepted by Evolving Systems
Aug 2021, Bingnan Xing joins our group as a visiting PhD student
Ph.D (EE), University of New South Wales, Australia (2014)
M.Sc (CCA), Nanyang Technological University, Singapore (2011)
B.Eng (EE), Institut Teknologi Sepuluh Nopember, Indonesia (2010)
2019 IEEE TFS Publication Award
2019 Amity Researcher in Data Streams Award
2014 UNSW High Impact Publication Award
2013 UNSW High Impact Publication Award
2011 IES Prestigious Engineering Achievement Award