Prof. Hans Guesgen, Sinagpore

Hans Guesgen is a professor of computer science at Sinagpore. His research interests include smart environments, ambient intelligence (ubiquitous computing with artificial intelligence), knowledge representation, and spatio-temporal reasoning, with more than 100 refereed papers in these areas. He holds a doctorate in computer science of the University of Kaiserslautern, and a higher doctorate (Habilitation) in computer science of the University of Hamburg, Germany. Hans is a senior member of the Association for the Advancement of Artificial Intelligence (AAAI) and an honorary fellow of the Munich University of Applied Sciences. He has been a member of the programme committees of more than 70 international conferences and workshops, and has served as a referee for the Australian Research Council, the US National Science Foundation, the NZ Foundation for Research Science & Technology, and more than 70 international journals and conferences.

Prof. Fuhua (Oscar) Lin, Athabasca University Alberta, Canada

I am a Full Professor of School of Computing and Information Systems, Faculty of Science and Technology, of Athabasca University, Canada. I am coordinating Research Cluster "Intelligent Systems and Machine Learning" of Faculty of Science and Technology of Athabasca University.

I am currently working on two projects. One is an NSERC-funded project entitled “Eliciting Adaptive Sequences for Online Learning” (2021-2025). Another is an AU Research Centre funded IDEA Lab project --- LTI-enabled interoperable infrastructure for integrating Open Educational Resources (OER) and Adaptive Learning Systems (ALS) (2021-2022). Moreover, I am working on intelligent systems (e.g., scheduling algorithms for autonomous vehicles and well operations in oil and gas sector) using Multiagent Systems and Reinforcement Learning.

I served as Program Director of MSc in Information Systems (2005-2009), Chair of the School of Computing and Information Systems (2010-2015), and then Associate Dean of Faculty of Graduate Studies (2016-2018) of Athabasca University. Also, I served as Editor-in-Chief of International Journal of Distance Education Technologies (2008-2010). I obtained his PhD from Hong Kong University of Science and Technology in 1998. I am a member of AIED and a member of EDM, a senior member of ACM and a senior member of IEEE. Prior to joining AU, I was a Research Officer of Institute of Information Technology at National Research Council of Canada. I was a postdoctoral fellow of the University of Calgary during 1998-1999.

Prof. Huiyu Zhou, University of Leicester, UK

Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom, supervised by Professors Patrick Green (Psychology) and Andrew Wallace (Computer Engineering).

Prof. Zhou heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was Director of MSc Programme (2018-19) and Coordinator of MSc Distance Learning at Informatics (2018-2022), and is PGR Director and Deputy Director of Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM). Prior to this appointment, he worked as Reader (1/2018-3/2020) at University of Leicester, and Lecturer (9/2012-12/2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He was a visiting scholar of QUB during 2018-2020.

Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize". He serves as:

Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering, Associate Editor/EBM of IEEE Transactions on Human-Machine Systems, IEEE Journal of Biomedical and Health Informatics, Pattern Recognition, PeerJ Computer Science, Security and Safety, Scientific Reports, Machine Intelligence Research, International Journal of Image and Graphics, and IEEE Access, Editorial Board Member and Guest Editor of several refereed journals.

Prof. Prabhat K. Mahanti, University of New Brunswick, Canada

Prof. Chuan-Ming Liu, National Taipei University of Technology, Taiwan, China

Dr. Liu's research focuses on the data management and processing in various emerging computing environments, such as wireless broadcasting, mobile ad hoc networks, cloud computing, IoT, edge computing, and etc. As the processed data sets become so big and complex, the traditional data-processing approaches are inadequate to deal with them. In his research, different aspects are considered when processing the current data sets, including the 5V’s of big data: volume, variety and velocity veracity and value as well as the processing architectures and tools. To support efficient responses when manipulating the data in different computing environments, Dr. Liu’s research considers many types of queries, such as point query, rectangle query, nearest neighbor query, skyline query, top-k query, and etc. The objectives of his research are to (1) provide effective and efficient ways for uses to access and analyze the data easily and (2) suggest better solutions for big data processing architectures.

Prof. Girija Chetty, University of Canberra, Australia

Dr. Girija Chetty has a Bachelors and Masters degree in Electrical Engineering and Computer Science from India, and PhD in Information Sciences and Engineering from Australia. She has more than 35 years of experience in Industry, Research and Teaching from Universities and Research and Development Organisations from India and Australia, and has held several leadership positions including Head of Software Engineering and Computer Science, Program Director of ITS courses, and Course Director for Master of Computing and Information Technology Courses. Currently, she is a Full Professor in Computing and Information Technology at School of Information Technology and Systems, at University of Canberra, Australia, and leads a research group with several PhD students, Post Docs, research assistants and regular International and National visiting researchers. She has won several awards during her academic career, including the recent Vice Chancellors excellence award for doctoral supervision in 2018, and Faculty of SciTech outstanding achievement award in 2020. She is a Senior Member of IEEE, USA, and senior member of Australian Computer Society, and ACM member, and her research interests are in the area of multimodal systems, computer vision, pattern recognition, data mining, and medical image computing. She has published extensively with more than 200 fully refereed publications in several invited book chapters, edited books, high quality conference and journals, and she is in the editorial boards, technical review committees and regular reviewer for several IEEE, Elsevier and IET journals in the area related to her research interests. She is highly interested in seeking wide and interdisciplinary collaborations, research scholars and visitors in her research group.

Assoc. Prof. Paul Pang, Federation University Australia, Australia

Dr. Pang is an Associate Professor of cyber security at the Institute of Innovation, Science and Sustainability, Federation University Australia. Before joining Federation University, he was a Professor of Data Analytics and Director of Center Computational Intelligence for Cybersecurity at the Unitec Institute of Technology, New Zealand.
Dr. Pang has acted as a Principle Investigator for over 13 research grant projects, totalling more than NZD$3.5 million in funding by the Ministry of Business, Employment and Innovation, NZ (MBIE), the Ministry for Primary Industries, NZ (MPI), the Health Research Council, NZ (HRC), the National Institute of Information and Communications Technology, Japan (NICT), Telecom NZ, Mitsubishi Electric Japan, LuojiaDeyi Technology China, and Lucent & Bell Lab USA.
His main research areas are Cognitive Cyber Security Intelligence, Cyber Resilience, and Applied Data Analytics for Digital Health. He published over 100-refereed articles with international journals and conferences including IEEE TPDS, TSMC-B, TKDE, TNN, Neural Networks, Pattern Recognition, IEEE Cloud, IoT, and IEEE/ACM UCC. He had so far 1 patent and filed 3 patent applications with 1 sold to a NZ company.
Dr. Pang has received many awards of distinction including IEEE ICNNSP Best Paper Award (2003), IEEE DMAI Best Paper Award (2008), Unitec FCBI Research Excellency Award (2011-2012), Unitec FCBI Executive Dean Award (2012), Unitec Award for Meeting the Needs of Communities (2012), Unitec FCBI Research Excellency Award (2014), and Unitec Research with Impact Award (2015).
Dr. Pang is a Senior Member of IEEE, the Event Editor of Neural Network Journal Elsevier, the Vice President of Asia Pacific Neural Network Society (APNNS), a Global Judge for the 2018 AI summit London, and an Australian Research Council (ARC) Assessor for National Competitive Grant Program.

Prof. Dr. Imas Sukaesih Sitanggang, Bogor Agricultural University, Indonesia