Program
Download the program here.
Keynote Speakers
Professor Jason Scholz is the Chief Executive for the Trusted Autonomous Systems Defence Cooperative Research Centre, Australia, a not-for-profit company advancing industry-led, game-changing projects and activities for Defence and dual use with $50m Commonwealth funding and $51m Queensland Government funding.
Title: Challenges in the Engineering of Complex Systems with Autonomous Capabilities
Abstract: Computers play an increasingly important role in society, being both ubiquitous and critical to systems that operate our homes, transport, communications, manufacturing, energy, health, defence etc. Yet, the cost to achieve large, complex IT systems design, test, delivery, operation and maintenance continues to accelerate, with systems often failing to meet performance expectations. In contrast to the “large, complex and few” proprietary integrated IT systems, the Internet of Things is illustrative of a vision for the future of “small, smart and many” systems. The future for society is where computing is adaptable, embedded in everything, autonomous, fully human-machine-decision integrated, physically distributed, goals are decentralised, socially coordinated with managed levels of control. The engineering of this vision, in turn raises new challenges for complex computer systems to solve that will be outlined in the talk, and include: Mutually understood human-machine semantics; Dynamic validation of a proposed complex of system contracts that meets operator goals, just prior to a new deployment rather than at “design time” (ensuring the system “does the right thing”); On-line verification that elements of the composed system will not exceed behavioural constraints or policies just prior to and during deployment (ensuring the system “does things right”); (eg TLA+) Means for human to dynamically monitor and break contracts during deployment; The ability for the computing system complex to predict its own limits of performance and adapt or break the contract, while informing the user; Legal agreement protocol that brings the power of contract law to formalise contractual agreements including “consideration” for the flow of payments for systems and services developed by any company; Assessment of the consequences of breaking contract and remedies for doing so; and Means for handling adversarial agents inside the system through reputation and system-wide monitoring and governance.
Yongsheng Gao is the Director of Australian Research Council (ARC) Research Hub for Driving Farming Productivity and Disease Prevention, and the Director of Institute for Integrated and Intelligent Systems at Griffith University, Australia. He was a member of College of Experts, Australian Research Council. As a Chief Investigator, he has been working on projects in Australia, Singapore, Germany, and China in the areas of smart farming, environmental informatics, biosecurity, face recognition, biometrics, image retrieval, computer vision, pattern recognition, and medical imaging. He was also employed as a consultant by Panasonic Singapore Laboratories Pte Ltd working on the face recognition standard in MPEG-7. His research are reported in the media in Australia and Singapore, including The Australian, The Courier Mail, The Sydney Morning Herald, and The Straits Times (Singapore).
Title: Visual Perception of Machine for Smart Farming
Abstract: Smart farming 4.0 studies new knowledge, technologies and devices for automation in agriculture and aquaculture, early detection of pest and plant disease, automatic species identification, plant phenomics, better water resource management, land environment monitoring, costal environment monitoring, marine life surveillance, etc. In this talk, he will introduce some of their work on automation in agriculture and aquaculture, faster grading and packing, species and cultivar identification, pest and disease recognition at ARC Industrial Transformation Research Hub for Driving Farming Productivity and Disease Prevention and Environmental Informatics@Griffith, including recognition without detection, large image database retrieval (speed vs accuracy), and new advancement of visual classification from species to cultivar.
Ryan Ko is Chair and Director of UQ Cyber Security at the University of Queensland, Australia. He is also Discipline Leader of the Cyber Security and Software Engineering Discipline at the School of ITEE at UQ. His applied research in cyber security focuses on returning control of data to cloud computing users. His research reduces users' reliance on trusting third-parties and focusses on (1) provenance logging and reconstruction, traceability and (2) privacy-preserving data processing. Both his research foci are recognised nationally and internationally, receiving conference Best Paper Awards (2011, 2015, 2017), and technology transfers locally and internationally. Prior to UQ, he held scientific leadership positions at Hewlett Packard Labs and University of Waikato, New Zealand. He holds a BEng(Comp Eng)(Hons) and PhD from Nanyang Technological University, Singapore.
Title: Data Provenance and Cybersecurity: Research Challenges and Opportunities
Abstract: At the heart of all cyber security attribution challenges is the problem of data provenance tracking and its reconstruction. In this talk, I will cover past, present and developing provenance research in computer science, and cover its relation and usefulness to accountability, traceability, trust, forensics and proactive cyber security. It will feature some of the data provenance research I have conducted in the past decade, discussed unsolved (or seemingly unsolvable) problems, and will discuss some of the recent developments in academia, industry, and international standards.
