Home

Assoc. Prof. Mahardhika Pratama

Associate Research Professor & Enterprise Fellow,

STEM, University of South Australia,

Adelaide, Australia

Office : W2-13, UniSA Mawson Lakes Campus, SA, 5095

Email : dhika.pratama@unisa.edu.au, pratama@ieee.org

Dr. Mahardhika Pratama is an associate research professor and enterprise fellow in AI at the academic unit of STEM, University of South Australia, Adelaide, Australia.

Latest Update

  • August 2022, our paper titled "Reinforced Continual Learning for Graphs" has been accepted for publication as a long paper by CIKM 2022

  • July 2022, I am honored to join as an associate editor of IEEE Trans. on Neural Networks and Learning Systems (IF: 14.26)

  • July 2022, I am honored to join as an associate editor of Complex & Intelligent Systems (IF: 6.859)

  • July 2022, our paper titled "ACDC: Online Unsupervised Cross-Domain Adaptation" has been accepted for publication by Knowledge-based Systems

  • June 2022, our paper titled "Latent Preserving Generative Adversarial Network for Imbalance classification" has been accepted for publication by ICIP 2022

  • June 2022, our paper titled "Class-Incremental Learning via Knowledge Amalgamation" has been accepted for publication by ECML PKDD 2022

  • June 2022, our paper titled "Scalable Adversarial Online Continual Learning" has been accepted for publication by ECML PKDD 2022

  • June 2022, our paper titled "Autonomous Cross Domain Adaptation under Extreme Label Scarcity" has been accepted by IEEE Trans. on Neural Networks and Learning Systems

  • 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

Academic Qualification

  • 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)

Awards

  • 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