Intelligent Technologies for Advancing and Safeguarding Australia

15 August 2017
9am to 4.20pm
Geelong Waurn Ponds Campus

This symposium will cover aspects of intelligent systems encompassing the technological innovations, Challenges and Opportunities for Advancing and Safeguarding Australia

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 in modernisation of Defence forces, 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 Advancing and Safeguarding Australia

General Chair:
Professor Saeid Nahavandi
Pro Vice-Chancellor Defence Technologies,
Deakin University, Australia

General Co-Chair:
Professor Peng Shi
The University of Adelaide, Australia

Program Chairs:
A/Professor Chee Peng Lim, Dr Asim Bhatti
Deakin University, Australia

Sponsored by:

Program

Program

08:30 – 9:00 Registration
09:00 – 9:10 Opening: Vice-Chancellor Prof Jane den Hollander AO
Chair: Prof Saeid Nahavandi
09:10 – 9:45 Prof Jun Wang (Plenary Speaker)
City University of Hong Kong, Hong Kong
 
Intelligent Control of Autonomous Surface Vehicles
9:45 – 10:20 Dr Jason Scholz (Plenary Speaker)
Defence Science and Technology Group, Australia
 
Socio-Technical Challenges to Trusted Autonomy
10:20 – 10:50 Tea/Coffee Break
10:50 – 11:10 Prof Abdollah Ebbie Homaifar
North Carolina A&T State University, USA
 
Testing, Evaluation and Control of Heterogeneous Large-scale Autonomous Vehicles
11:10 – 11:30 Prof David Gao
Federation University, Australia
 
A Breakthrough Theory for Solving Challenging Problems in Multi- Scale Complex Systems and Decision Science
11:30 – 11:50 Prof Peng Shi
The University of Adelaide, Australia
 
Formation Control with Limited Information for Multi-Robot Systems
11:50 – 12:30 Hot Topic: Securing Australia through Technology - The Next Big Step

Jim Molan AO DSC, MAJOR GENERAL (Retired)
12:30 – 13:30 Lunch Break and Poster Session
13:30 – 13:50 A/Prof Adrian Pearce
Defence Science Institute, Australia
 
Persistent Autonomy Integration
13:50 – 14:10 Prof John Grundy
Deakin University, Australia
 
Towards Continuous Integration and Validation of Data Analytics Systems
14:10 – 14:30 Dr Andrew Lucas
AOS Group
 
Intelligent Watchdog Autonomous Response System
14:30 – 15:00 Tea/Coffee Break
15:00 – 15:20 Prof. Tiffany R. Walsh
Institute for Frontier Materials, Deakin University, Geelong VIC 3216, Australia
 
Aptasensor Developments for Human Performance Monitoring
15:20 – 15:40 Prof Mark Wallace
Monash University, Australia
 
Data, Control and Optimisation for Advancing and Safeguarding Australia
15:40 – 16:00 A/Prof Chee Peng Lim
Deakin University, Australia
 
The ART of Autonomous Learning Systems
16:00 – 16:15 Closing
16:15 – 17:00 Lab tour

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 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 (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as a member of the editorial advisory board of International Journal of Neural Systems (2006-2013), and a member of the editorial board of Neural Networks (2012-2014) 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 (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee (2011-2012); IEEE Computational Intelligence Society Awards Committee (2008, 2012, 2014), IEEE Systems, Man, and Cybernetics Society Board of Directors (2013-2015), 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.

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Key information

Date and time

Tuesday 15 August 2017
9am – 4.20pm

Location

Waurn Ponds Campus
Room na1.417,
GTP building (Ground Floor)
Waurn Ponds, VIC 3216