Assoc. Prof. Mahardhika Pratama
Associate Professor-Level Enterprise Fellow in AI,
STEM, University of South Australia,
Office : W2-13, UniSA Mawson Lakes Campus, SA, 5095
Email : email@example.com, firstname.lastname@example.org
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 top 2% scientists by Stanford University, 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 have supervised 7 PhD students and 6 postdoctoral research fellows to successful completions. 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.
We always look for highly motivated and talented PhD students and postdocs. For recent opportunities, please approach me.
July 2023, feel honored to be invited as Area Editor of Evolving Systems
September 2022, congratulations for my PhD student, Appan Rakaraddi, for winning the SIGIR student travel grant!
September 2022, congratulations! for my FYP student, Adithya Hulagadri, for winning the Highly Commended Award of the 2022 Global Undergraduate Awards for his FYP project (among other 2812 submissions from students in 410 universities across 73 countries).
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 (Codes: https://doi.org/10.21979/N9/UVBUWN)
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