Associate Professor Mahardhika Pratama

Enterprise Fellow UniSA STEM

Mawson Lakes Campus (W2-13)
tel +61 8 830 23004

email Dhika.Pratama@unisa.edu.au

Available for media comment
Research Degree Supervisor

About me

Assoc. Prof. Mahardhika Pratama is currently an associate professor-level enterprise fellow in AI (Continuing Level D) 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 ... Read more

UniSA STEM

Harnessing connections across science, technology, engineering and mathematics, UniSA STEM creates innovative solutions and groundbreaking developments across teaching, learning and research.

Tweets by @UniversitySA

About me

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 have 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.

We always look for highly motivated and talented PhD students and postdocs. For recent opportunities, please approach me.

For further information, please visit www.mpratama.com.

Research

Research focus

Artificial Intelligence and Image Processing
Applied Mathematics
Engineering
Information and Computing Sciences
Electrical and Electronic Engineering

Research

Outputs

Research outputs for the last seven years are shown below. To see earlier years visit ORCID, ResearcherID or Scopus

Open access indicates that an output is open access.

Highlights

Year	Output
2022	Ashfahani, A & Pratama, M 2022, 'Unsupervised continual learning in streaming environments', IEEE Transactions on Neural Networks and Learning Systems, online, pp. 1-12. Open access 1 1
2022	Weiwei, W, Pratama, M, Za'in, C, De Carvalho, M, Appan, R, Ashfahani, A & Yapp Kien Yee, E 2022, 'Autonomous cross domain adaptation under extreme label scarcity', IEEE Transactions on Neural Networks and Learning Systems, online, pp. 1-12. 2

Books

Year	Output
2018	Er, MJ, Wang, N, Pratama, M, Sharma, S & Lian, Z 2018, Intelligent marine and aerial vehicles: theory and applications, Nova Science Publishers, Inc., US. 4

Chapters

Year	Output
2022	Pratama, M, Ashfahani, A & Lughofer, E 2022, 'Unsupervised continual learning via self-adaptive deep clustering approach', in F Cuzzolin, K Cannons & V Lomonaco (eds), Continual Semi-Supervised Learning, Springer, a Switzerland, ch. 4, pp. 48-61.
2019	Ashfahani, A, Pratama, M, Lughofer, E, Cai, Q & Sheng, H 2019, 'An online rfid localization in the manufacturing shopfloor', in E Lughofer & M Sayed-Mouchaweh (eds), Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications, Springer Nature Switzerland AG, Switzerland, ch. 10, pp. 287-309. Open access 8 2
2019	Lughofer, E, Zavoianu, A-C, Pratama, M & Radauer, T 2019, 'Automated process optimization in manufacturing systems based on static and dynamic prediction models', in E Lughofer & M Sayed-Mouchaweh (eds), Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications, Springer Nature Switzerland AG, Switzerland, ch. 17, pp. 485-531. 2
2018	Hassanein, O, Anavatti, SG, Pratama, M & Ray, T 2018, 'Autonomous underwater vehicles', in MJ Er, N Wing, M Pratama, S Sharma & Z Lian (eds), Intelligent Marine and Aerial Vehicles: Theory and Applications, Nova Science Publishers, Inc., US, ch. 4, pp. 77-125.
2018	Za'in, C, Pratama, M, Prasad, M, Puthal, D, Lim, CP & Seera, M 2018, 'Motor fault detection and diagnosis based on a meta-cognitive random vector functional link network', in M Sayed-Mouchaweh (ed.), Fault Diagnosis of Hybrid Dynamic and Complex Systems, Springer International Publishing AG, Switzerland, ch. 2, pp. 15-44. 3

Journal Articles

Year	Output
2022	Aradya, AM, Ashfahani, A, Angelina, F, Pratama, M, de Mello, RF & Sundaram, S 2022, 'Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination', Information Sciences, vol. 607, pp. 638-653.
2022	Ashfahani, A & Pratama, M 2022, 'Unsupervised continual learning in streaming environments', IEEE Transactions on Neural Networks and Learning Systems, online, pp. 1-12. Open access 1 1
2022	De Carvalho, M, Pratama, M, Zhang, J & Yapp Kien Yee, E 2022, 'ACDC: online unsupervised cross-domain adaptation', Knowledge-Based Systems, vol. 253, article no.109486.
2022	Lughofer, E & Pratama, M 2022, 'Online sequential ensembling of predictive fuzzy systems', Evolving Systems, vol. 13, no. 2, pp. 361-386. Open access
2022	Pratama, M, Lughofer, E & Angelov, P 2022, 'Editorial: Special issue on recent progress in autonomous machine learning', Information Sciences, vol. 595, pp. 195-196.
2022	Renchunzi, X & Pratama, M 2022, 'Automatic online multi-source domain adaptation', Information Sciences, vol. 582, pp. 480-494. 1 1
2022	Weiwei, W, Pratama, M, Za'in, C, De Carvalho, M, Appan, R, Ashfahani, A & Yapp Kien Yee, E 2022, 'Autonomous cross domain adaptation under extreme label scarcity', IEEE Transactions on Neural Networks and Learning Systems, online, pp. 1-12. 2
2021	AL-Sharuee, MT, Liu, F & Pratama, M 2021, 'Sentiment analysis: dynamic and temporal clustering of product reviews', Applied Intelligence, vol. 51, no. 1, pp. 51-70. 8 10
2021	Al-Mahasneh, AJ, Anavatti, SG, Garratt, MA & Pratama, M 2021, 'Stable adaptive controller based on generalized regression neural networks and sliding mode control for a class of nonlinear time-varying systems', IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 51, no. 4, article no. 8721510, pp. 2525-2535. 5 6
2021	Cai, Q, Alam, S, Pratama, M & Liu, J 2021, 'Robustness evaluation of multipartite complex networks based on percolation theory', IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 51, no. 10, pp. 6244-6257. Open access 4 4
2021	Fubing, M, Weiwei, W, Pratama, M & Yee, EYK 2021, 'Continual learning via inter-task synaptic mapping', Knowledge-Based Systems, vol. 222, pp. 1-11. Open access 3 2 2
2021	Lughofer E & Pratama M, Skrjanc I 2021, 'Online bagging of evolving fuzzy systems', Information Sciences, vol. 570, pp. 16-33. Open access 5
2021	Pratama, M, Za'in, C, Lughofer, E, Pardede, E & Rahayu, DA 2021, 'Scalable teacher forcing network for semi-supervised large scale data streams', Information Sciences, vol. 576, pp. 407-431. Open access 3 2
2021	Samanta Subhrajit & Pratama Mahardhika, Sundaram Suresh 2021, 'Bayesian neuro-fuzzy inference system for temporal dependence estimation', IEEE Transactions on Fuzzy Systems, vol. 29, no. 9, article no. 9115257, pp. 2479-2490. 1
2021	Weiwei, W, Pratama, M, Ashfahani, A & Yapp Kien Yee, E 2021, 'Online semisupervised learning approach for quality monitoring of complex manufacturing process', Complexity, vol. 2021, article no. 3005276, pp. 1-16. Open access
2020	Ashfahani, A, Pratama, M, Lughofer, E & Ong, Y-S 2020, 'DEVDAN: deep evolving denoising autoencoder', Neurocomputing, vol. 390, pp. 297-314. Open access 41 39
2020	Cai, Q, Alam, S, Pratama, M & Wang, Z 2020, 'Percolation theories for multipartite networked systems under random failures', Complexity, vol. 2020, article no. 3974503, pp. 1-12. Open access
2020	Cai, Q, Pratama, M, Alam, S, Ma, C & Liu, J 2020, 'Breakup of directed multipartite networks', IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, article no. 8620361, pp. 947-960. 5 5
2020	Das, M, Pratama, M & Ghosh, SK 2020, 'SARDINE: a self-adaptive recurrent deep incremental network model for spatio-temporal prediction of remote sensing data', ACM Transactions on Spatial Algorithms and Systems, vol.6, no. 3, article no. 16, pp. 1-26. 5 5 2
2020	Ferdaus, MM, Anavatti, SG, Pratama, M & Garratt, MA 2020, 'Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review', Artificial Intelligence Review: An International Survey and Tutorial Journal, vol. 53, no. 1, pp. 257-290. 17 12 1
2020	Ferdaus, MM, Pratama, M, Anavatti, SG, Garratt, MA & Lughofer, E 2020, 'PAC: a novel self-adaptive neuro-fuzzy controller for micro aerial vehicles', Information Sciences, vol. 512, pp. 481-505. Open access 22 20
2020	Ferdaus, MM, Pratama, M, Anavatti, SG, Garratt, MA & Pan, Y 2020, 'Generic evolving self-organizing neuro-fuzzy control of bio-inspired unmanned aerial vehicles', IEEE Transactions on Fuzzy Systems, vol. 28, no. 8, article no. 8718263, pp. 1542-1556. Open access 12 13
2020	Kurnianingsih, Nugroho, LE, Widyawan, Lazuardi, L, Prabuwono, AS & Pratama, M 2020, 'Anomaly detection for elderly home care', International Journal of Business Intelligence and Data Mining, vol.16, no.4, pp. 418-444.
2020	Lughofer, E, Zavoianu, A-C, Pollak, R, Pratama, M, Meyer-Heye, P, Zörrer, H, Eitzinger, C & Radauer, T 2020, 'On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks', Information Sciences, vol. 537, pp. 425-451. 10 9
2020	Pratama Mahardhika, Dimla Eric, Tjahjowidodo Tegoeh & Pedrycz Witold, Lughofer Edwin 2020, 'Online tool condition monitoring based on parsimonious ensemble+', IEEE Transactions on Cybernetics, vol. 50, no. 2, pp. 664-677. Open access 20 14 3
2020	Pratama, M, Pedrycz, W & Webb, G I 2020, 'An incremental construction of deep neuro fuzzy system for continual learning of nonstationary data streams', IEEE Transactions on Fuzzy Systems, vol. 28, no. 7, article no. 8826232, pp. 1315-1328. Open access 9 9
2020	Samanta, S, Pratama, M, Sundaram, S & Srikanth, N 2020, 'Learning elastic memory online for fast time series forecasting', Neurocomputing, vol. 390, pp. 315-326. 6 6
2020	Yang, D, Luan, W, Qiao, L & Pratama, M 2020, 'Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery', Applied Energy, vol. 268, article no.114696, pp. 1-14. 18 17
2019	Anh, N, Suresh, S, Pratama, M & Srikanth, N 2019, 'Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system', Knowledge-Based Systems, vol. 169, pp. 28-38. 14 11
2019	Cai, Q, Pratama, M & Alam, S 2019, 'Interdependency and vulnerability of multipartite networks under target node attacks', Complexity, vol. 2019, article no. 2680972, pp. 1-16. Open access 8 5
2019	Ferdaus, MM, Anavatti, SG, Garratt, MA & Pratama, M 2019, 'Development of C-means clustering based adaptive fuzzy controller for a flapping wing micro air vehicle', Journal of Artificial Intelligence and Soft Computing Research, vol. 9, no. 2, pp. 99-109. Open access 16 11
2019	Ferdaus, MM, Pratama, M, Anavatti, SG & Garratt, MA 2019, 'Online identification of a rotary wing unmanned aerial vehicle from data streams', Applied Soft Computing, vol. 76, pp. 313-325. 9 8
2019	Ferdaus, MM, Pratama, M, Anavatti, SG & Garratt, MA 2019, 'PALM: an incremental construction of hyperplanes for data stream regression', IEEE Transactions on Fuzzy Systems, vol. 27, no. 11, article no. 8613834, pp. 2115-2129. Open access 25 18 1
2019	Gupta, D, Pratama, M, Ma, Z, Li, J & Prasad, M 2019, 'Financial time series forecasting using twin support vector regression', PLoS One, vol. 14, no. 3, article no. e0211402. Open access 21 13 1
2019	Kocer, BB, Tjahjowidodo, T, Pratama, M & Seet, GGL 2019, 'Inspection-while-flying: an autonomous contact-based nondestructive test using UAV-tools', Automation in Construction, vol. 106, article no. 102895, pp. 1-15. Open access 20 16
2019	Lughofer, E, Zavoianu, A-C, Pollak, R, Pratama, M, Meyer-Heye, P, Zörrer, H, Eitzinger, C & Radauer, T 2019, 'Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models', Journal of Process Control, vol. 76, pp. 27-45. Open access 22 17
2019	Pan, Y, Yang, C, Pratama, M & Yu, H 2019, 'Composite learning adaptive backstepping control using neural networks with compact supports', International Journal of Adaptive Control and Signal Processing, vol. 33, no. 12, pp. 1726-1738. 6 3
2019	Pratama, M & Wang, D 2019, 'Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams', Information Sciences, vol. 495, pp. 150-174. Open access 29 27 3
2019	Pratama, M, Dimla, E, Lai, CY & Lughofer, E 2019, 'Metacognitive learning approach for online tool condition monitoring', Journal of Intelligent Manufacturing, vol. 40, no. 4, pp. 1717-1737. 16 11 2
2019	Samanta, S, Pratama, M & Sundaram, S 2019, 'A novel Spatio-Temporal Fuzzy Inference System (SPATFIS) and its stability analysis', Information Sciences, vol. 505, pp. 84-99. Open access 12 10
2019	Za'in, C, Pratama, M & Pardede, E 2019, 'Evolving large-scale data stream analytics based on scalable PANFIS', Knowledge-Based Systems, vol. 166, pp. 186-197. 6 4
2018	AL-Sharuee, MT, Liu, F & Pratama, M 2018, 'Sentiment analysis: an automatic contextual analysis and ensemble clustering approach and comparison', Data and Knowledge Engineering, vol. 115, pp. 194-213. 34 24
2018	Caesarendra, W, Pratama, M, Kosasih, B, Tjahjowidodo, T & Glowacz, A 2018, 'Parsimonious network based on a fuzzy inference system (PANFIS) for time series feature prediction of low speed slew bearing prognosis', Applied Sciences (Switzerland), vol. 8, no. 12, article no. 2656, pp. 1-21. Open access 48
2018	Lughofer, E & Pratama, M 2018, 'Online active learning in data stream regression using uncertainty sampling based on evolving generalized fuzzy models', IEEE Transactions on Fuzzy Systems, vol. 26, no. 1, article no. 7820039, pp. 292-309. 60 52
2018	Lughofer, E, Pollak, R, Zavoianu, A-C, Pratama, M, Meyer-Heye, P, Zörrer, H, Eitzinger, C, Haim, J & Radauer, T 2018, 'Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality', Engineering Applications of Artificial Intelligence, vol. 68, pp. 131-151. 27 22
2018	Lughofer, E, Pratama, M & Skrjanc, I 2018, 'Incremental rule splitting in generalized evolving fuzzy systems for autonomous drift compensation', IEEE Transactions on Fuzzy Systems, vol. 26, no. 4, article no. 8039219, pp. 1854-1865. 59 53
2018	Pratama, M, Angelov, PP, Lughofer, E & Joo Er, M 2018, 'Parsimonious random vector functional link network for data streams', Information Sciences, vol. 430-431, pp. 519-537. Open access 34 28 1
2018	Pratama, M, Lughofer, E, Sundaram, S, Mouchaweh, MS, Skrjanc, I & Mostafa, F 2018, 'Editorial: special issue on advanced soft computing for prognostic health management', Applied Soft Computing, vol. 72, pp. 552-554.
2018	Pratama, M, Pedrycz, W & Lughofer, E 2018, 'Evolving ensemble fuzzy classifier', IEEE Transactions on Fuzzy Systems, vol. 26, no. 5, article no. 8265083, pp. 2552-2567. Open access 70 57 4
2017	Lughofer, E, Kindermann, S, Pratama, M & Rubio, JdJ 2017, 'Top-down sparse fuzzy regression modeling from data with improved coverage', International Journal of Fuzzy Systems, vol. 19, no. 5, pp. 1645-1658.
2017	Pratama, M, Lu, J, Lughofer, E, Zhang, G & Er, MJ 2017, 'An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks', IEEE Transactions on Fuzzy Systems, vol. 25, no. 5, article no. 7542529, pp. 1175-1192. Open access 94 92
2017	Pratama, M, Lughofer, E, Er, MJ, Anavatti, S & Lim, C-P 2017, 'Data driven modelling based on recurrent interval-valued metacognitive scaffolding fuzzy neural network', Neurocomputing, vol. 262, pp. 4-27. 27 23
2017	Pratama, M, Lughofer, E, Lim, CP, Rahayu, W, Dillon, T & Budiyono, A 2017, 'pClass+: a novel evolving semi-supervised classifier', International Journal of Fuzzy Systems, vol. 19, no. 3, pp. 863-880. 28 8
2017	Pratama, M, Zhang, G, Er, MJ & Anavatti, S 2017, 'An incremental type-2 meta-cognitive extreme learning machine', IEEE Transactions on Cybernetics, vol. 47, no. 2, article no. 7390064, pp. 339-353. 62 49
2017	Venkatesan, R, Er, MJ, Dave, M, Pratama, M & Wu, S 2017, 'A novel online multi-label classifier for high-speed streaming data applications', Evolving Systems, vol. 8, no. 4, pp. 303-315. Open access 24 16 4
2017	Za'in, C, Pratama, M, Lughofer, E & Anavatti, SG 2017, 'Evolving type-2 web news mining', Applied Soft Computing, vol. 54, pp. 200-220. 41 25
2017	Zhang, Y, Er, MJ, Zhao, R & Pratama, M 2017, 'Multiview convolutional neural networks for multidocument extractive summarization', IEEE Transactions on Cybernetics, vol. 47, no. 10, article no. 7756666, pp. 3230-3242. 50 31 1
2016	Er, MJ, Zhang, Y, Wang, N & Pratama, M 2016, 'Attention pooling-based convolutional neural network for sentence modelling', Information Sciences, vol. 373, pp. 388-403. 108 82 3
2016	Pratama, M, Lu, J & Zhang, G 2016, 'Evolving type-2 fuzzy classifier', IEEE Transactions on Fuzzy Systems, vol. 24, no. 3, article no. 7175005, pp. 574-589. Open access 104 73
2016	Pratama, M, Lu, J, Anavatti, S, Lughofer, E & Lim, C-P 2016, 'An incremental meta-cognitive-based scaffolding fuzzy neural network', Neurocomputing, vol. 171, pp. 89-105. 87 57
2016	Pratama, M, Lu, J, Lughofer, E, Zhang, G & Anavatti, S 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, vol. 191, pp. 304-329. Open access 75 40
2015	Lughofer, E, Cernuda, C, Kindermann, S & Pratama, M 2015, 'Generalized smart evolving fuzzy systems', Evolving Systems, vol. 6, no. 4, pp. 269-292. 137
2015	Pratama, M, Anavatti, SG & Lu, J 2015, 'Recurrent classifier based on an incremental metacognitive-based scaffolding algorithm', IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, article no. 7039239, pp. 2048-2066. 84
2015	Pratama, M, Anavatti, SG, Er, MJ & Lughofer, ED 2015, 'pClass: an effective classifier for streaming examples', IEEE Transactions on Fuzzy Systems, vol. 23, no. 2, article no. 6776566, pp. 369-386. 105 74

Conferences

Year	Output
2022	Dam, T, Pratama, M, Ferdaus, MM, Anavatti, S & Abbas, H 2022, 'Scalable adversarial online continual learning', European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), ECMLPKDD, in press, pp. 1-16. Open access
2022	De Carvalho, M, Pratama, M, Zhang, J & Sun, Y 2022, 'Class-incremental learning via knowledge amalgamatio', European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD, in press, pp. 1-16. Open access
2021	Abka, AF, Pratama, M & Jatmiko, W 2021, 'Cross-lingual summarization: English - Bahasa Indonesia', 6th International Workshop on Big Data and Information Security, IWBIS 2021, Institute of Electrical and Electronics Engineers, pp. 53-58.
2021	Ashfahani, A, Pratama, M, Lughofer, E & Yee, E 2021, 'Autonomous deep quality monitoring in streaming environments', International Joint Conference on Neural Networks (IJCNN), Institute of Electrical and Electronics Engineers, pp. 1-8. 1 1
2021	Gates, W, Jati, G, Intan P, RD, Pratama, M & Jatmiko, W 2021, 'A modest system of feature-based stereo visual odometry', 2021 International Workshop on Big Data and Information Security (IWBIS), IEEE, pp. 47-52.
2021	Kocer, BB, Hady, MA, Kandath, H, Pratama, M & Kovac, M 2021, 'Deep neuromorphic controller with dynamic topology for aerial robots', 2021 IEEE International Conference on Robotics and Automation, ICRA 2021, I E E E Computer Society, pp. 110-116. 4
2021	Rakaraddi, A & Pratama, M 2021, 'Unsupervised learning for identifying high eigenvector centrality nodes: a graph neural network approach', 2021 IEEE International Conference on Big Data (Big Data), IEEE, pp. 4945-4954. Open access
2020	Anam, K, Bukhori, S, Hanggara, FS & Pratama, M 2020, 'Subject-independent classification on brain-computer interface using autonomous deep learning for finger movement recognition', in R Barbieri (ed.), 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Institute of Electrical and Electronics Engineers, v. 2020-July, article no. 9175718, pp. 447-450. 2
2020	Aradhya, AM, Sundaram, S & Pratama, M 2020, 'Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI', in R Barbieri (ed.), 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Institute of Electrical and Electronics Engineers, v. 2020-July, article no. 917654, pp. 2829-2832. 6 1
2020	Das, M, Pratama, M & Tjahjowidodo, T 2020, 'A self-evolving mutually-operative recurrent network-based model for online tool condition monitoring in delay scenario', in R Gupta, Y Liu, J Tang & B A Prakash (eds), 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, Association for Computing Machinery, pp. 2775-2783. 3 4
2020	Das, M, Pratama, M, Zhang, J & Ong, YS 2020, 'A skip-connected evolving recurrent neural network for data stream classification under label latency scenario', 34th AAAI Conference on Artificial Intelligence, AAAI 2020, AAAI Press, pp. 3717-3724. Open access 6
2020	Lughofer, E & Pratama, M 2020, 'Online sequential ensembling of fuzzy systems', in G Castellano, C Castiello & C Mencar (eds), 12th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Institute of Electrical and Electronics Engineers, v. 2020-May, article no. 9122772, pp. 1-10.
2020	Samanta, S, Pratama, M, Sundaram, S & Srikanth, N 2020, 'A dual network solution (DNS) for lag-free time series forecasting', in (eds), 2020 International Joint Conference on Neural Networks, IJCNN, Institute of Electrical and Electronics Engineers, article no. 9207022, pp. 1-8. 5
2020	Wei, S, Shen, H, Li, Q, Pratama, M, Shunmei, M, Long, H & Xia, Y 2020, 'PSVM: quantitative analysis method of intelligent system risk in independent host environment', 9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, Institute for Computer Sciences Social Informatics and Telecommunications Engineering, v. 322 LNICST, pp. 544-552. 1
2020	Za'in, C, Ashfahani, A, Pratama, M, Lughofer, E & Pardede, E 2020, 'Scalable teacher-forcing networks under spark environments for large-scale streaming problems', in G Castellano, C Castiello & C Mencar (eds), 12th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Institute of Electrical and Electronics Engineers, v. 2020-May, article no. 9122752, pp. 1-8. 1
2019	Al-Mahasneh, AJ, Anavatti, SG, Garratt, MA & Pratama, M 2019, 'Evolving general regression neural networks using limited incremental evolution for data-driven modeling of non-linear dynamic systems', in S Sundaram (ed.), 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018, Institute of Electrical and Electronics Engineers, article no. 8628909 , pp. 335-341. 7
2019	Aradhya, AM, Joglekar, A, Suresh, S & Pratama, M 2019, 'Deep transformation method for discriminant analysis of multi-channel resting state fMRI', AAAI-19 Thirty-Third AAAI Conference on Artificial Intelligence, IEEE Computer Society, pp. 2556-2563. Open access 10
2019	Ashfahani, A & Pratama, M 2019, 'Autonomous deep learning: continual learning approach for dynamic environments', SIAM International Conference on Data Mining, SDM 2019, Society for Industrial and Applied Mathematics, pp. 666-674. 37 6
2019	Carvalho, M & Pratama, M 2019, 'Improving shallow neural network by compressing deep neural network', in Sundaram S (ed.), 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018, Institute of Electrical and Electronics Engineers, article no. 8628686, pp. 1382-1387.
2019	Das, M, Pratama, M, Ashfahani, A & Samanta, S 2019, 'FERNN: a fast and evolving recurrent neural network model for streaming data classification', in D Wang & K Doya (eds), 2019 International Joint Conference on Neural Networks, IJCNN 2019, Institute of Electrical and Electronics Engineers, v. 2019-July, article no. 8851757, pp. 2-8. 7
2019	Das, M, Pratama, M, Savitri, S & Zhang, J 2019, 'MUSE-RNN: a multilayer self-evolving recurrent neural network for data stream classification', in J Wang, K Shim & X Wu (eds), 19th IEEE International Conference on Data Mining ICDM 2019, IEEE, v. 2019-November, pp. 110-119. 9 10
2019	Ferdaus, MM, Anavatti, SG, Al-Mahasneh, AJ, Pratama, M & Garratt, MA 2019, 'Development of hyperplane-based adaptive T-S fuzzy controller for micro aerial robots', in (eds), 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2019, Institute of Electrical and Electronics Engineers, pp. 50-56.
2019	Ferdaus, MM, Anavatti, SG, Garratt, MA & Pratama, M 2019, 'Red-FLC: an adaptive fuzzy logic controller with reduced learning parameters', 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, Institute of Electrical and Electronics Engineers, article no. 9003080, pp. 513-518.
2019	Ferdaus, MM, Anavatti, SG, Pratama, M & Garratt, MA 2019, 'A novel self-organizing neuro-fuzzy based intelligent control system for a AR.Drone quadcopter', in S Sundaram (ed.), 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018, Institute of Electrical and Electronics Engineers, article no. 8628815, pp. 2026-2032. 3
2019	Ferdaus, MM, Hady, MA, Pratama, M, Kandath, H & Anavatti, SG 2019, 'RedPAC: a simple evolving neuro-fuzzy-based intelligent control framework for quadcopter', in (eds), 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019, Institute of Electrical and Electronics Engineers, v. 2019-June, article no. 8858991, pp. 1-7. 2
2019	Ferdaus, MM, Pratama, M, Anavatti, SG & Garratt, MA 2019, 'A generic self-evolving neuro-fuzzy controller based high-performance hexacopter altitude control system', in L O'Conner (ed.), 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers, article no. 8616471, pp. 2784-2791. Open access 7 8
2019	Huang, S, Ashfahani, A & Pratama, M 2019, 'Wireless indoor positioning using online machine learning', in M Arif Wani et al. (eds), 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019, Institute of Electrical and Electronics Engineers, article no. 8999337, pp. 1885-1890. 1
2019	Kandath, H, Hady, MA, Pratama, M & Feng, NB 2019, 'Robust evolving neuro-fuzzy control of a novel tilt-rotor vertical takeoff and landing aircraft', 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019, Institute of Electrical and Electronics Engineers, v. 2019-June, article no. 8858923, pp. 1-6.
2019	Kocer, BB, Kumtepeli, V, Tjahjowidodo, T, Pratama, M, Tripathi, A, Seet Gim Lee, G & Wang, Y 2019, 'UAV control in close proximities - ceiling effect on battery lifetime', in R Bilof (ed.), 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019, Institute of Electrical and Electronics Engineers, article no. 8782522, pp. 193-197. Open access 5 3
2019	Kocer, BB, Tiryaki, ME, Pratama, M, Tjahjowidodo, T & Seet, GGL 2019, 'Aerial robot control in close proximity to ceiling: a force estimation-based nonlinear MPC', 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Institute of Electrical and Electronics Engineers, article no. 8967611, pp. 2813-2819. Open access 10
2019	Lughofer, E, Pratama, M, Eitzinger, C & Radauer, T 2019, 'Dynamic anomaly detection based on recursive independent component analysis of multi-variate residual signals', in P Fuster-Parra & OV Sierra (eds), 33rd Annual European Simulation and Modelling Conference, ESM 2019, EUROSIS, pp. 105-113.
2019	Pratama, M, Ashfahani, A & Hady, A 2019, 'Weakly supervised deep learning approach in streaming environments', in C Baruet al. (eds), 2019 IEEE International Conference on Big Data, Big Data 2019, Institute of Electrical and Electronics Engineers, article no. 9006285, pp. 1195-1202. Open access 6
2019	Pratama, M, De Carvalho, M, Xie, R, Lughofer, E & Lu, J 2019, 'ATL: autonomous knowledge transfer from many streaming processes', 28th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, pp. 269-278. 7 8
2019	Pratama, M, Za'in, C, Ashfahani, A, Ong, YS & Ding, W 2019, 'Automatic construction of multi-layer perceptron network from streaming examples', 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Association for Computing Machinery, pp. 1171-1180. 25 25
2019	Samanta, S, Hartanto, A, Pratama, M, Sundaram, S & Srikanth, N 2019, 'RIT2FIS: a recurrent interval type 2 fuzzy inference system and its rule base estimation', in D Wang & K Doya (eds), 2019 International Joint Conference on Neural Networks, IJCNN 2019, Institute of Electrical and Electronics Engineers, v. 2019-July, article no. 8852424, pp. 1-8. 1
2019	Za'in, C, Pratama, M, Ashfahani, A, Pardede, E & Sheng, H 2019, 'Big data analytic based on scalable PANFIS for RFID localization', in L O'Conner (ed.), 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers, article no. 8616288, pp. 1687-1692. Open access 2 1
2018	Ferdaus, MM, Anavatti, SG, Garratt, MA & Pratama, M 2018, 'Evolving fuzzy inference system based online identification and control of a quadcopter unmanned aerial vehicle', in (eds), 2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2017, Institute of Electrical and Electronics Engineers, pp. 223-228. 20
2018	Ferdaus, MM, Anavatti, SG, Garratt, MA & Pratama, M 2018, 'Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle', in (eds), 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Institute of Electrical and Electronics Engineers, v. 2018-January, pp. 1-6. 9
2018	Ferdaus, MM, Pratama, M, Anavatti, SG & Garratt, MA 2018, 'Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Institute of Electrical and Electronics Engineers, v. 2018-January, pp. 1-8. 1
2018	Huang, S, Mohanty, S, Ashfahani, A & Pratama, M 2018, 'The study on indoor localization for manufacturing execution system', 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Institute of Electrical and Electronics Engineers, article no. 8581192, pp. 1863-1867. 3
2018	Huang, S, Shoaib, S, Ashfahani, A & Pratama, M 2018, 'Similarity measures in development of an indoor localization system', 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Institute of Electrical and Electronics Engineers, article no. 8581143, pp. 1420-1425. 2
2018	Lughofer, E, Pollak, R, Zavoianu, A-C, Meyer-Heye, P, Zorrer, H, Eitzinger, C, Lehner, J, Radauer, T & Pratama, M 2018, 'Evolving time-series based prediction models for quality criteria in a multi-stage production process', in Y Manolopoulos, L Iliadis, P Angelov & E Lughofer (eds), 11th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018, Institute of Electrical and Electronics Engineers, pp. 1-10. 4
2018	Prasad, M, Chang, L-C, Gupta, D, Pratama, M, Sundaram, S & Lin, C-T 2018, 'Online video streaming for human tracking based on weighted resampling particle filter', in S Ozawa, M Pratama, A Roy, AW Tan & PP Angelov (eds), 3rd International Neural Network Society Conference on Big Data and Deep Learning, INNS BDDL 2018, Elsevier BV, v. 144, pp. 2-12. Open access 2 1
2018	Singh, J, Prasad, M, Daraghmi, YA, Tiwari, P, Yadav, P, Bharill, N, Pratama, M & Saxena, A 2018, 'Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Institute of Electrical and Electronics Engineers, v. 2018-January, pp. 1-7. 14
2018	Za'in, C, Pratama, M, Lughofer, E, Ferdaus, M, Cai, Q & Prasad, M 2018, 'Big data analytics based on PANFIS MapReduce', in S Ozawa, M Pratama, A Roy, AW Tan & PP Angelov (eds), 3rd International Neural Network Society Conference on Big Data and Deep Learning, INNS BDDL 2018, Elsevier BV, v. 144, pp. 140-152. Open access 1 1
2017	Biswas, S, Anavatti, SG, Garratt, MA & Pratama, M 2017, 'Simultaneous replanning with vectorized particle swarm optimization algorithm', 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Institute of Electrical and Electronics Engineers, article no. 7838834, pp. 1-6. 8
2017	Chou, K-P, Li, D-L, Prasad, M, Pratama, M, Su, S-Y, Lu, H, Lin, C-T & Lin, W-C 2017, 'Robust facial alignment for face recognition', in (eds), 4th International Conference on Neural Information Processing, ICONIP 2017, Springer, v. 10636 LNCS, pp. 497-504. Open access 3 2
2017	Ferdaus, MM, Anavatti, SG, Garratt, MA & Pratama, M 2017, 'Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter', 9th International Conference on Advanced Computational Intelligence, ICACI 2017, Institute of Electrical and Electronics Engineers, article no. 7974513, pp. 223-230. 11
2017	Lughofer, E, Pratama, M & Skrjanc, I 2017, 'Incremental rule splitting in generalized evolving fuzzy regression models', in I Skrjanc & S Blazic (eds), 2017 Evolving and Adaptive Intelligent Systems, EAIS 2017, Institute of Electrical and Electronics Engineers, v. 2017-May, article no. 7954836, pp. 1-8. 2
2017	Pratama, M, Angelov, PP, Lu, J, Lughofer, E, Seera, M & Lim, C 2017, 'A randomized neural network for data streams', 2017 International Joint Conference on Neural Networks, IJCNN 2017, Institute of Electrical and Electronics Engineers, v. 2017-May, article no. 7966286, pp. 3423-3430. Open access 7
2016	Anavatti, SG, Biswas, S, Colvin, JT & Pratama, M 2016, 'A hybrid algorithm for efficient path planning of autonomous ground vehicles', 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Institute of Electrical and Electronics Engineers, article no. 7838802, pp. 1-6. 2
2016	Er, MJ, Liu, F, Wang, N, Zhang, Y & Pratama, M 2016, 'User-level twitter sentiment analysis with a hybrid approach', in L Cheng, Q Liu & A Ronzhin (eds), 13th International Symposium on Neural Networks, ISNN 2016, Springer, v. 9719, pp. 426-433. 9 5 1
2016	Pratama, M, Lu, J & Zhang, G 2016, 'A novel meta-cognitive extreme learning machine to learning from data streams', in L O'Conner (ed.), IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, Institute of Electrical and Electronics Engineers, article no. 7379619, pp. 2792-2797. Open access 5 3
2016	Pratama, M, Lughofer, E, Er, MJ, Rahayu, W & Dillon, T 2016, 'Evolving type-2 recurrent fuzzy neural network', 2016 International Joint Conference on Neural Networks, IJCNN 2016, Institute of Electrical and Electronics Engineers, v. 2016-October, article no. 7727423, pp.1841-1848. 7
2016	Venkatesan, R, Er, MJ, Wu, S & Pratama, M 2016, 'A novel online real-time classifier for multi-label data streams', 2016 International Joint Conference on Neural Networks, IJCNN 2016, Institute of Electrical and Electronics Engineers, vol.2016-October, article no. 7727422, pp. 1833-1840. Open access 10
2016	Zhang, Y, Er, MJ & Pratama, M 2016, 'Extractive document summarization based on convolutional neural networks', 42nd Conference of the Industrial Electronics Society, IECON 2016, Institute of Electrical and Electronics Engineers, article no. 7793761, pp. 918-922. 19 3
2016	Zhang, Y, Er, MJ, Venkatesan, R, Wang, N & Pratama, M 2016, 'Sentiment classification using comprehensive attention recurrent models', 2016 International Joint Conference on Neural Networks, IJCNN 2016, Institute of Electrical and Electronics Engineers, v. 2016-October, article no. 7727384, pp. 1562-1569. 35
2015	Pratama, M, Lu, J & Zhang, G 2015, 'An incremental interval type-2 neural fuzzy classifier', in A Yazici et al. (eds), IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, Institute of Electrical and Electronics Engineers, vol. 2015-November, article no. 7337801, pp. 1-8. Open access 3 8

External engagement & recognition

Collaborations

External engagement & recognition

Collaborations

Organisation	Country
Abu Dhabi Polytechnic	UNITED ARAB EMIRATES
Agency for Science, Technology and Research (A*STAR)	SINGAPORE
AGH University of Science and Technology	POLAND
Anif	AUSTRIA
Dalian Maritime University	CHINA
Deakin University	AUSTRALIA
Guangdong Polytechnic Normal University	CHINA
Guru Ghasidas University	INDIA
Hong Kong Baptist University	HONG KONG
Huazhong University of Science and Technology	CHINA
Imperial College of Science, Technology and Medicine	UNITED KINGDOM
Indian Institute of Science	INDIA
Indian Institute Of Technology Indore	INDIA
Indian Institute of Technology, Kharagpur	INDIA
Institue Technology Sepuluh Nopember	INDONESIA
International Institute of Information Technology	INDIA
Jember University	INDONESIA
Jiangsu Zhongtian Technology Co., Ltd.	CHINA
JKU Austria	AUSTRIA
Johannes Kepler	AUSTRIA
Johannes Kepler University of Linz	AUSTRIA
Johannes Keppler University	AUSTRIA
King Abdulaziz University	SAUDI ARABIA
Ku Leuven	BELGIUM
La Trobe University	AUSTRALIA
Lancaster University	UNITED KINGDOM
Linz University	AUSTRIA
Max Planck Institute for Intelligent Systems	GERMANY
Monash University	AUSTRALIA
Nanjing University of Science and Technology	CHINA
Nantong University	CHINA
Nanyang Technological University	SINGAPORE
National Chiao Tung University	TAIWAN
National Institute of Technology	INDIA
National Polytechnic Institute	MEXICO
National University of Singapore	SINGAPORE
Northwestern Polytechnical University	CHINA
Palestine Technical University - Kadoorie	PALESTINIAN TERRITORY
Private Individual	AUSTRALIA
Profactor (Austria)	AUSTRIA
PT. Sinoma Engineering Indonesia	INDONESIA
RGPV	INDIA
RMIT University	AUSTRALIA
RMIT University Vietnam	VIET NAM
Robert Gordon University	UNITED KINGDOM
Singapore Institute of Manufacturing Technology	SINGAPORE
Swinburne Sarawak Institute of Technology	INDONESIA
Swinburne University of Technology	AUSTRALIA
Swiss Federal Laboratories for Materials Science and Technology	SWITZERLAND
UCLA	UNITED STATES
Universitas Gadjah Mada	INDONESIA
Universitas Indonesia	INDONESIA
Universitas Muhammadiyah Malang	INDONESIA
Universiti Brunei Darussalam	BRUNEI
Universiti Teknologi Brunei	BRUNEI
University of Alberta	CANADA
University of Indonesia	INDONESIA
University of Ljubljana	SLOVENIA
University of New South Wales	AUSTRALIA
University of Padua	ITALY
University of Plymouth	UNITED KINGDOM
University of Sao Paulo	BRAZIL
University of Technology Sydney	AUSTRALIA
University of Technology, Sydney	AUSTRALIA
University of the West of England	UNITED KINGDOM
University of Warwick	UNITED KINGDOM
University of Wollongong	AUSTRALIA
Wuhan University of Science and Technology	CHINA
Wuyi University	CHINA

External engagement & recognition

Engagement/recognition	Year
Associate Editor Complex and Intelligent Systems	2022
Associate Editor IEEE Transactions on Neural Networks and Learning Systems	2022
Associate Editor IEEE Transactions on Fuzzy Systems	2022
Associate Editor Knowledge-based Systems	2022
Associate Editor Information Sciences	2022
Associate Editor Evolving Systems	2022
Associate Editor Journal of Control and Decision	2022
Board Member Complexity	2022
Editor in Chief International Journal of Business Intelligence and Data Mining	2022
Keynote Speaker IEEE Cyberneticscom 2022	2022
Program Chair IEEE ICA 2022	2022
Senior Member Institute of Electrical and Electronics Engineers	2022
Tutorial and Keynote Chair IEEE SSCI 2022	2022
Associate Editor IEEE Transactions on Fuzzy Systems	2021
Associate Editor Knowledge-based Systems	2021
Associate Editor Information Sciences	2021
Associate Editor Evolving Systems	2021
Associate Editor Journal of Control and Decision	2021
Board Member Complexity	2021
Editor in Chief International Journal of Business Intelligence and Data Mining	2021
Senior Member Institute of Electrical and Electronics Engineers	2021
Associate Editor IEEE Transactions on Fuzzy Systems	2020
Associate Editor Knowledge-based Systems	2020
Associate Editor Information Sciences	2020
Associate Editor Journal of Control and Decision	2020
Associate Editor Evolving Systems	2020
Board Member Complexity	2020
Editor in Chief International Journal of Business Intelligence and Data Mining	2020
Senior Member Institute of Electrical and Electronics Engineers	2020
Associate Editor Journal of Control and Decision	2019
Associate Editor Evolving Systems	2019
Board Member Complexity	2019
Editor in Chief International Journal of Business Intelligence and Data Mining	2019
Publication Award IEEE Transactions on Fuzzy Systems	2019
Researcher Award in Data Streams Amity University	2019
Senior Member Institute of Electrical and Electronics Engineers	2019
Associate Editor Evolving Systems	2018
Associate Editor Journal of Control and Decision	2018
Editor in Chief International Journal of Business Intelligence and Data Mining	2018
Senior Member Institute of Electrical and Electronics Engineers	2018
Editor in Chief International Journal of Business Intelligence and Data Mining	2017

Teaching & student supervision

Research degree supervision

Supervisions from 2010 shown

Thesis title	Student status
Advanced Continual Machine Learning	Current
Interactive machine learning towards human-trustworthy AI	Current

more less

Associate Professor Mahardhika Pratama

About me

About me

UniSA STEM

About me

Professional Associations

Experience

Qualifications

Work history

Research

Research focus

Projects

Outputs

Highlights

Books

Chapters

Journal Articles

Conferences

External engagement & recognition

Collaborations

Collaborations

External engagement & recognition

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Board Member

Editor in Chief

Keynote Speaker

Program Chair

Senior Member

Tutorial and Keynote Chair

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Board Member

Editor in Chief

Senior Member

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Associate Editor

Board Member

Editor in Chief

Senior Member

Associate Editor

Associate Editor

Board Member

Editor in Chief

Publication Award

Researcher Award in Data Streams

Senior Member

Associate Editor

Associate Editor

Editor in Chief

Senior Member

Editor in Chief

Teaching & student supervision

Courses and programs

Courses I teach and/or co-ordinate

Research degree supervision

Gallery