INTELLIGENT TECHNOLOGIES FOR ADVANCING AND SAFEGUARDING AUSTRALIA

Transcription

1 INVITED SYMPOSIUM ON INTELLIGENT TECHNOLOGIES FOR ADVANCING AND SAFEGUARDING AUSTRALIA TUESDAY 15 AUGUST 2017, DEAKIN UNIVERSITY, AUSTRALIA Venue: Deakin University, Waurn Ponds, Geelong, Australia Room na1.417, GTP building (Ground Floor) Registration:

2 Symposium Theme: Defence's primary focus continues to be to protect and advance Australia's strategic interests through the provision of appropriately prepared and equipped armed forces. To achieve this, Defence prepares for and conducts military operations and other tasks as directed by the Government and winning in this environment requires both sophisticated systems and superbly trained forces. The highly dynamic and complex nature of these modern Defence environments must be supported by innovative current practice and experience, together with promising new ideas that are likely to be used in the near future. Capability breakthroughs, strategic challenges and technological innovation are considered to be the major focus, and the pursuit of game changing solutions that address these areas requires a collaborative, cross-disciplinary research effort. This could include research areas such as human performance assessment, knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. This symposium will cover aspects of intelligent systems encompassing the technological innovations, Challenges and Opportunities for or Advancing and Safeguarding Australia. This symposium will cover aspects of intelligent systems encompassing the technological innovations, Challenges and Opportunities for Advancing and Safeguarding Australia General Chair: Professor Saeid Nahavandi Director Institute for Intelligent Systems Research and Innovation, General Co-Chair: Professor Peng Shi The University of Adelaide, Australia Program Chairs: A/Professor Chee Peng Lim, Dr Asim Bhatti

3 Symposium Program: 09:00 9:10 Registration 09:10 10:00 Jun Wang (Plenary Speaker) City University of Hong Kong, Hong Kong Intelligent Control of Autonomous Surface Vehicles 10:00 10:30 Jason Scholz (Plenary Speaker) Defence Science and Technology Group, Australia Socio-Technical Challenges to Trusted Autonomy 10:30 11:00 Tea/Coffee Break 11:00 11:20 Abdollah Ebbie Homaifar North Carolina A&T State University, USA Testing, Evaluation and Control of Heterogeneous Large-scale Autonomous Vehicles 11:20 11:40 David Gao Federation University, Australia A Breakthrough Theory for Solving Challenging Problems in Multi- Scale Complex Systems and Decision Science 11:40 12:10 Peng Shi The University of Adelaide, Australia Formation Control with Limited Information for Multi-Robot Systems 12:10 12:30 Panel Session: Strategic challenges of Defence Forces 12:30 13:30 Lunch Break 13:30 13:50 Adrian Pearce Defence Science Institute, Australia Persistent Autonomy Integration 13:50 14:10 John Grundy Towards Continuous Integration and Validation of Data Analytics Systems

4 14:10 14:30 Andrew Lucas Agent Oriented Software, Australia Intelligent Watchdog Autonomous Response System 14:30 14:50 Tea/Coffee Break 14:50 15:10 Patrick Howlett BatTRI-Hub 15:10 15:30 Mark Wallace Monash University, Australia Data, Control and Optimisation for Advancing and Safeguarding Australia 15:30 15:50 Chee Peng Lim The ART of Autonomous Learning Systems 15:50 16:10 Panel Session: Capability breakthroughs and technological innovation 16:10 16:20 Conclusion Plenary Speakers: Prof. Jun Wang Chair Professor of Computational Intelligence City University of Hong Kong Title: Intelligent Control of Autonomous Surface Vehicles Biography: Jun Wang is a Chair Professor of Computational Intelligence in the Department of Computer Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and Chinese University of Hong Kong. He also held various part time visiting positions at US Air Force Armstrong Laboratory, RIKEN Brain Science Institute, Huazhong University of Science and Technology, Dalian University of Technology, and Shanghai Jiao Tong University as a Changjiang Chair Professor. He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks and their

5 applications. He published about 200 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor in Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks ( ), IEEE Transactions on Cybernetics and its predecessor ( ), and IEEE Transactions on Systems, Man, and Cybernetics Part C ( ), as a member of the editorial advisory board of International Journal of Neural Systems ( ), and a member of the editorial board of Neural Networks ( ) as a guest editor of special issues of European Journal of Operational Research (1996), International Journal of Neural Systems (2007), Neurocomputing (2008, 2014, 2016), and International Journal of Fuzzy Systems (2010, 2011). He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He has been an IEEE Computational Intelligence Society Distinguished Lecturer ( , ). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee ( ); IEEE Computational Intelligence Society Awards Committee (2008, 2012, 2014), IEEE Systems, Man, and Cybernetics Society Board of Directors ( ), He is an IEEE Fellow, IAPR Fellow, and a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award in 2011, Natural Science Awards from Shanghai Municipal Government (2009) and Ministry of Education of China (2011), and Neural Networks Pioneer Award from IEEE Computational Intelligence Society (2014), among others. Dr. Jason Scholz Research Leader Trusted Autonomous Systems Defence Science and Technology Group Title: Socio Technical Challenges to Trusted Autonomy Biography: Jason Scholz leads research, development and showcasing of high impact technologies for persistent autonomy, machine cognition, and human machine integration in close partnership with overseas governments, academia and industry to deliver game changing impact for Australian Defence and National Security. He holds a PhD in electrical engineering from the University of Adelaide and a degree in electronic engineering from the University of South Australia. He has over sixty refereed publications and patents, in telecommunications, signal processing, artificial intelligence and human decision making. He is an assessor for the Australian Research Council and a graduate of the Australian institute of company directors.