Keynotes

Lecture 1: "Structured classification with structural SVM, with applications in computer vision and NLP" by Prof. Massimo Piccardi

Abstract: This lecture is an introduction to structured classification and a powerful tool to tackle it: structural SVM. It opens with a gentle review of classification and the conventional support vector machine. It then introduces the rationale for structured classification and discusses a few examples. It goes on to present structural SVM for both the fully-supervised and semi-supervised cases. It concludes with some notable applications in computer vision and natural language processing (NLP) and a brief mention to the contributions of the presenter in this area.

    Bio: Massimo Piccardi (M. Eng., 1991, Ph.D. Bologna, 1995) is a Professor at University of Technology Sydney (UTS). Previously, he has held appointments at the Universities of Bologna and Ferrara in Italy. At UTS, he leads the Computer Vision program of the Global Big Data Technology Centre, a strategic task force in the space of telecommunications and big data analytics. His main research areas are computer vision, pattern recognition and machine learning where he has been an active international researcher for over twenty years and has published more than a hundred and forty papers. As at December 2016, Professor Piccardi enjoys 6,700 citations on Google Scholar and an h-index of 27.

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      Lecture 2: "IoT Communications and Networking in 5G Systems: Challenges and Enabling Technologies" by Dr. Diep N. Nguyen

        Bio: Diep N. Nguyen is a faculty member of the School of Computing and Communications, University of Technology Sydney (UTS). He received M.E. and Ph.D. in Electrical and Computer Engineering from University of California, San Diego (UCSD) and The University of Arizona (UA), respectively. Before joining UTS, he was a DECRA Research Fellow at Macquarie University, a member of technical staff at Broadcom (California), ARCON Corporation (Boston), consulting the Federal Administration of Aviation on turning detection of UAVs and aircraft, US Air Force Research Lab on anti-jamming. He has received several awards from LG Electronics, University of California, San Diego, The University of Arizona, US National Science Foundation, Australian Research Council, including nominations for the outstanding graduate student (2012), outstanding RA (2013) awards, the best paper award finalist at the WiOpt conference (2014), discovery early career researcher award (DECRA, 2015). His recent research interests are in the areas of computer networking, wireless communications, and machine learning, with emphasis on systems' performance and security/privacy.

        Abstract: To effectively support a massive number of connecting devices (e.g., IoT or industry 4.0), the underlying communications system faces various challenges, ranging from the ever-increasing traffic demand, very low latency, ultra-high reliability, environmental sustainability requirement, to security- and privacy-threats. This lecture gives an overview of these challenges and discusses on how to address them with recent advances of the future 5G network technologies. Various example application scenarios of IoT, industry 4.0, e.g., Vehicle-to-Everything (V2X), machine-to-machine (M2M), drone communications, automatic air traffic control, computerizing patient monitoring and diagnostic process, food industry (with smart farming) will also be considered​.

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          Lecture 3: "Virtual Reality/Augmented Reality and the new challenges creating immersive environments" by Prof. Stuart Perry

          Abstract: Recent years have seen exciting advances in virtual and augmented reality technologies. Devices such as the Oculus Rift, HT Vive and Microsoft Hololens promise to open a new world of immersive, interactive content for entertainment, education, manufacturing and business. These technologies break down the barriers between the natural world and our increasingly electronic society by allowing humans unprecedented ways to interact with computers. However, human beings are still at the heart of these technologies and the success of these technologies will strongly depend on our understanding of human perception. The UTS:FEIT School of Computing and Communication’s Perceptual Imaging Laboratory (PILab) has been formed to look into how human perception maps into this new field and how the principles of human perception can be used to drive this field into even more immersive, richly interactive technologies. In this talk, the speaker will give a quick overview of the technologies and applications before delving into the aspects of human perception that will be crucial to the success of these technologies and how UTS plans to help push AR/VR technologies into more seamless integration with our daily lives.

            Bio: Stuart Perry has over 20 years of experience conducting research into image processing, psychophysics, signal processing, image quality, and models for the quantification of image preference and aesthetics for both government, industry and academia. Following receiving a PhD from the University of Sydney in 1999, he began his research career studying the application of image processing to the detection of underwater objects in sector-scan sonar imagery for the Maritime Operations Division, Defence Science and Technology Organisation (DSTO). During this time he represented Australia on Computer-Aided Detection and Classification Specialist Group, Technical Panel 13 (Mine Warfare and High Frequency Acoustics), Maritime Group, The Technical Cooperation Program (TTCP). From 2003 to 2016, he worked for Canon Information Systems Research Australia (CiSRA), a Canon group company and one of the Canon Group's largest R&D facilities outside of Japan. During this time he worked on camera white balancing technologies, and led research teams working on print quality measurement, document security and perceptual quality measurement for various consumer devices. In 2016 he joined the FEIT's Perceptual Imaging Laboratory (PILab) conducting research into colour and perceptual quality in 3D environments.

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              Lecture 4: "Graphene on Silicon: Towards the ultimate miniaturization of an IoT node" by Prof. Francesca lacopi

              Abstract: Graphene has enormous potential for integrated devices and the combination of several functionalities within a small package with ultimate miniaturization, from electronics to photonics, sensing and energy storage. This is thanks to the exceptional electrical and thermal conduction properties, mechanical resilience, optical and plasmonic properties, as well as electronic properties of the pristine graphene material. However, a controlled and reproducible synthesis of a graphene of acceptable quality, directly on a substrate of interest such as silicon has been lacking so far. Here we propose a promising novel avenue to fill this fundamental gap, and we review the associated challenges and perspectives.

                Bio:

                Francesca Iacopi received her MSc in Physics from Roma I University, Italy (1996), and her PhD in E.E./Materials Science from the Katholieke Universiteit Leuven, Belgium (2004).

                Materials Scientist and Nanotechnology expert with nearly 20 years’ experience in semiconductor Industry and Academia, she is author of over 100 peer-reviewed publications and holder of 8 granted patents. She achieved international reputation for her contributions to the ITRS roadmap of materials and processes for advanced technologies across the area of devices, interconnects and packaging - particularly in the translation of basic scientific advances into manufacturable products.

                Research Scientist at IMEC (Belgium) over 1999-2009, she then took up a year Guest Professorship at the University of Tokyo (Japan). In 2010-2011 she directed the Chip-Package Interaction strategy for GLOBALFOUNDRIES (Ca, USA), the world’s second -largest semiconductor foundry. At Griffith University she invented an in-situ process for self- aligned graphene on silicon, with applications in integrated micro-technologies, such as bio-compatible sensing and energy storage. In Oct 2016 she was appointed to Full Professor in the Faculty of Engineering & IT, University of Technology Sydney, with research focus on integrated systems for the Internet of Things.

                She was a 2003 recipient of a Gold Graduate Student Award from MRS, a 2012 recipient of a Future Fellowship from the Australian Research Council, awardee of a Global Innovation Award for "Processes enabling low cost graphene/silicon carbide MEMS" in Washington DC, May 2014. She was a member of the Advance Queensland Panel of Experts, advisory committee to the State Government on Science and Innovation, over 2015-2016. She is a Fellow of the Institution of Engineers Australia.

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                  Lecture 5: "Information Science: from theory of the universe to Industry 4.0" by Nguyen The Trung

                  Abstract: Once belong to social science, information science is now emerging as a new area where latest discoveries of the nature of the universe by studying the mathematical math model of different information-based constructions. At the top of the list is the model of the It from bit universe which seems a very ambitious reach, however down the list we can find Deep Learning; Capability transformation and more applied results in high demand areas in an Industry 4.0 era.In this presentation, I will go from History of Information to the current Open problem of Information and evaluate the John Archibald Wheeler “It from Bit” view with the results from Sporadic finite Groups, Leech Lattice, Gravity as emergent. I will propose 2 conjectures called : Universe digital copy conjectures and Emergent Transformation Conjecture to conclude the theory portion. In the application part, I will present potential applications including Deep Learning; Capability Transformation using Enterprise Architect. Finally I will give some suggestion on how Vietnam can leverage Information science and get ready for Industry 4.0.

                    Bio:

                    Nguyễn Thế Trung graduated from Sydney University of Technology and worked as R&D Director at CVT, Australia before returning to Vietnam and started DTT in 2003. DTT is now known as one of the few private ICT companies that lead some IT-related movement in Vietnam recently such as E-Government, STEM Education, IoT ( Internet of things) startups. Currently millions of Vietnamese are using DTT software to access Government e-services. DTT also expanded to global market since 2006 with its presence in Silicon Valley, USA, Singapore and EU to provide Software services. DTT was awarded top 10 ICT company in 2014 and many other recognitions.

                    Besides leading DTT, Trung is an active social entrepreneur, he initiates and participates in different interest groups like founding Da Nang Software Association; starting Vietnam OpenStack community, Vietnam Open E-government Platform community, Vietnam Open Internet of Things community, Vietnam STEM Education Consortium and Countryside Bookization Group. In the past Trung sit in the central committee of National Youth Union.

                    As a member of multi-national ICT consulting team (Việt Nam, USA, Singapore, Denmark, Malaysia), Trung has done strategic consulting services for Ministry of Finance, Da Nang City, Ministry of Information and Communication, Ministry of Planning and Investment on E-government Master plan and Enterprise Architecture, ICT industry development, IoT development strategy …

                    Trung is currently a member of various government ICT commitees including: 1. National ICT application commitees 2. Ministry of Science and Technology Industry 4.0 task force 3. GSO modernization masterplan 2025 taskforce 4. Ho Chi Minh smart city masterplan task force. Trung has a special interest in Open Innovation, Open Data, Open Source, and STEM education.

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                    Lecture 6: "Video Coding Technology in IoTs Era: Brief History, Current Standards and Emerging Research Topics" by Dr. Xiem Hoang

                    Abstract: The growing heterogeneity and dynamic nature of the networks, terminals, and usage environments in Internet of Things (IoTs) era has boosted the need for powerful video coding engines able to efficiently adapt to changing consumption conditions. The emerging High Efficiency Video Coding (HEVC) standard and its extensions – the scalable HEVC (SHVC) and the 3D-HEVC video coding standards are able to provide efficient solutions for such scenarios. However, there are still a large number of rooms for further developing a more powerful video coding solution considering the compromise between the compression efficiency, the encoding complexity and the error resilience. In this talk, we will firstly introduce the history of video coding technology, emphasizing the motivation behind current advanced video coding engines. Secondly, we present the state-of-the-art predictive video coding standards, notably the HEVC and its extensions. Finally, we discuss the emerging research topics toward efficient video compression engine in IoTs era as well as identify the promising coding approaches for future video coding research.

                      Bio:

                      Hoang Van Xiem received the B.Sc degree from Hanoi University of Science and Technology, Vietnam, in 2009, the M.Sc. degree from Sungkyunkwan University, South Korea, in 2011, and the Ph.D. degree (with Distinction) from Instituto Superior Técnico – Lisbon University, Portugal, in 2015, all in Electrical and Computer Engineering. Currently, He is a faculty member of the Faculty of Electronics and Telecommunications and a founder of the Visual Processing and Communications (VPC) research group in Vietnam National University - University of Engineering and Technology (VNU-UET). His research interests are image, video processing and communication system development.

                      Dr. Xiem has published 30 papers on image and video coding and regularly reviews for many renowned IEEE, IET and EURASIP journals, e.g. the IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting, Elsevier Signal Processing Image Communication,...and served as a technical committee member for several international conferences. He has received several awards for his work on video coding, including the Best paper award at the Picture Coding Symposium 2015 and the Ph.D. award from the Fraunhofer Portugal Challenge.

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                        Lecture 7: "Overview of Industry 4.0: Opportunities and Challenges for Vietnam" by A/Prof. Bui The Duy

                        Abstract: The concept of "Fourth Industrial Revolution", which is also known as Industry 4.0, has been introduced by professor Klaus Schwab, chairman of the World Economic Forum (WEF), in his book just ahead of the WEF Summit in 2016. This talk will gives a brief overview of Industry 4.0, current technology trends in Industry 4.0, and opportunities and challenges for Vietnam.

                          Bio:

                          Bui The Duy received his Bachelor in Computer Science from University of Wollongong, Australia in 2000, and Ph.D. in Computer Science from University of Twente, the Netherlands. His research includes human machine interaction, computer graphics and artificial intelligence. He was
                          Associate Professor, Head of Human Machine Interaction Laboratory, and Dean of Faculty of Information Technology, University of Engineering and Technology, VNU Hanoi. Now, he works at Ministry of Science and Technology, as well as at University of Engineering and Technology, VNU
                          Hanoi as adjunct associate professor.

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                          Lecture 8: "Human Perception and Psychophysics" by Prof. Stuart Perry

                          Abstract: We experience the world around us with our senses as filtered by our brains. One of the most important of these senses is our sense of vision. However, our sense of vision is not designed to function like a scientific instrument, directly measuring light levels in the environment. Our sense of vision has evolved to extract the maximum information from our environment useful to our survival and interaction with the natural world. What we experience of the world is shaped by individual differences, nearby and previous stimuli, and the environment around us in a complex fashion difficult to model. In this talk, I will discuss the subjective nature of colour, visual structure, the sense of depth and outline some of the methods that we use to measure and quantify the subjective nature of human perception.​