Short Biography
Dr. Mahardhika Pratama received his PhD degree from the University of New South Wales, Australia in 2014. Dr. Pratama is a tenure-track assistant professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He worked as a lecturer at the Department of Computer Science and IT, La Trobe University from 2015 till 2017. Prior to joining La Trobe University, he was with the Centre of Quantum Computation and Intelligent System, University of Technology, Sydney as a postdoctoral research fellow of Australian Research Council Discovery Project. Dr. Pratama received various competitive research awards in the past 5 years, namely the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award in 2011, the UNSW high impact publication award in 2013 and 2014, IEEE TFS prestigious publication award in 2018, Amity researcher award. Dr. Pratama has published in top journals and conferences and edited one book, and has been invited to deliver keynote speeches in international conferences. Dr. Pratama has led five special sessions and two special issues in prestigious conferences and journals. He currently serves as an editor in-chief of International Journal of Business Intelligence and Data Mining and a consultant at Lifebytes, Australia. Dr. Pratama is a member of IEEE, IEEE Computational Intelligent Society (CIS) and IEEE System, Man and Cybernetic Society (SMCS), and Indonesian Soft Computing Society (ISC-INA). His research interests involve autonomous deep learning, data stream, control system, predictive maintenance and autonomous vehicle.
Autonomous Deep Learning
The era of big data in highly complex environments calls for algorithmic development of advanced machine learning techniques and visualizations to transform massive amounts of information into useful references to help decision making process in real-time. This talk aims to discuss online real-time strategies for data stream analytics that provide concrete solutions to unsolved issues in data streams analytics, namely uncertainty in data distribution, uncertainty in data representation, uncertainty in data dimensions, uncertainty in data processing, and uncertainty in data visualization.


Head of School - School of Computing & IT

Short Biography

Prof. Dr. Patrice Boursier earned his BSc, MSc and PhD in Computer Science from University Pierre et Marie Curie (Paris 6, France, 1981). He received National Accreditation for Full Professorship from the Ministry of Higher Education and University Paris-South (Paris 11–Orsay, France, 1996).

He has been appointed Professor of Computer Science at Taylor’s University on 7th December 2017, and Head of the School of Computing and IT on 1st February 2018. Previously, he was a Full Professor at International University of Malaya-Wales (IUMW) since December 2013, and he was the Chairman of the Research Committee as well as the Dean of the Faculty of Science, Technology, Engineering and Mathematics (STEM). He has been an Associate Professor at the University of Paris-South (Paris 11–Orsay, France) from December 1984 until August 1997, and a Full Professor in Computer Science at University of La Rochelle (France) from September 1997 until September 2014. He is Emeritus Professor from the University of La Rochelle since October 2014.

He has authored and co-authored more than 100 articles in journals, conference proceedings and book reviews. He has graduated 12 PhDs in France and 6 Joint PhDs (France-Malaysia), and he is currently supervising 6 PhDs. He has been a member of program committees and editorial boards of conferences. He has given keynote talks as well as invited lectures and workshops at conferences, international universities and for industry, in the areas of Spatial / Geographical Databases and Information Systems, Cloud and Big Data.

Prior to coming to Malaysia, Prof. Patrice Boursier has been a consultant and expert for private companies and government agencies in France, such as the French Space Agency (CNES), the Ministry of Finances or the Ministry of Equipment, Transports and Tourism. He has also been involved in several European projects as a scientific manager.


Geographic Information System (Gis) Sn: Including Of Digital Data, Digital Model, Environmental Information, Land Value Information, Map, Precise Measurement, Resource-Based Information, Spatial Databased, Strategic Information And Geo-Positioning System (Gps) (Big Data, Spatial Databases, GIS, Social Networks, Information Retrieval, Data Quality)

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