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Keynote Speeches

Prof. Jean-Luc Gaudiot, School of Electrical Engineering and Computer Science Department, University of California, Irvine, USA


RobertDeng

Keynote: Technology Considerations for Next-Generation Computer Architecture

 

Prof. Jean-Luc Gaudiot
University of California, Irvine
USA

ABSTRACT: In recent years, we have observed a clear trend in the rapid rise of autonomous vehicles, robotics, virtual reality, and augmented reality. The core technologies enabling these applications, Simultaneous Localization And Mapping (SLAM) and Deep Learning (DL), impose two main challenges: first, these workloads are computationally intensive and they often have real-time requirements; second, these workloads run on battery-powered mobile devices with limited energy budget. In short, the essence of these challenges is that performance should be improved while simultaneously reducing energy consumption, two rather contradicting goals by conventional wisdom. Nonetheless, we have observed that these goals can often be achieved by using computer architecture techniques, showing that the efficacy of design techniques is closely tied to technology. In this talk, we provide two examples of architecture techniques which achieve performance improvement and energy reduction, one from the computation side, and the other from the memory side. Next, we take a close look at state-of-the-art Deep Learning (DL) and Simultaneous Localization And Mapping (SLAM) workloads, especially how these workloads behave on mobile devices. Finally, we will demonstrate how to enable these next-generation technologies on mobile devices using computer architecture techniques.

 

BIO: Jean-Luc Gaudiot received the Diplôme d'Ingénieur from ESIEE, Paris, France in 1976 and the M.S. and Ph.D. degrees in Computer Science from UCLA in 1977 and 1982, respectively. He is currently Professor in the Electrical Engineering and Computer Science Department at UC, Irvine. Prior to joining UCI in 2002, he was Professor of Electrical Engineering at the University of Southern California since 1982. His research interests include multithreaded architectures, fault-tolerant multiprocessors, and implementation of reconfigurable architectures. He has published over 250 journal and conference papers. His research has been sponsored by NSF, DoE, and DARPA, as well as a number of industrial companies. He has served the community in various positions and was just elected to the presidency of the IEEE Computer Society for 2017.

Prof. Tharam S. Dillon, La Trobe University, Melbourne, Vic 3083, Australia


RobertDeng

Keynote: Trust and Risk Semantics and Prediction through Big Data Analytics To Encompass Cloud Services, 5 G, Cyber-Physical Systems and Social Media. Issues and Challenges.

 

Prof. Tharam S. Dillon
La Trobe University, Melbourne, Vic 3083
Australia

ABSTRACT: The advent of the mobile communication, internet and e-commerce has led to increasing interactions that do not involve physical access to the agents that one is interacting with. In order to provide a degree of confidence in such interactions we have seen the rapid development and research into Trust in the virtual environment and supporting Trust Technologies. A comprehensive exposition of this is given in our book on” Trust and Reputation for Service Oriented Environments”. This work provided a study of Trust between interacting agents and service providers and service consumers. It also provided a detailed discussion of Reputation Systems that used third party recommendations for evaluating the certainty of a successful interaction. It provided a careful differentiation between the concepts of Trust, Security and Privacy. This work has also been followed by research into the concept of Risk in Virtual Environments and methods of evaluating and managing risk as explained in our book on” Risk in the Networked Economy”.

 

The recent development of new paradigms and technologies such as Cloud Services g, 5G, Cyber Physical Systems or the Internet of Things and Social media have created the need for new advances in these concepts of Trust and Risk broadening and deepening their conceptual framework and providing more nuanced interpretations in different contexts. In this talk paper we discuss the issues and challenges in developing models for calculation of Trust and Risk for Cloud Services, 5G, Cyber-Physical Systems and Social Media.

 

We note that whilst the considerable progress has been made in the development of models for calculation of Trust and Reputation for agent interactions and interactions between service providers and service consumers, for a particular immediately forthcoming time interval much less work has been done on:

  • The Semantics of Trust, Reputation and Risk.
  • Use of Predictive Analytics for Trust, Reputation and Risk over a finite given time horizon.
  • The influence of different forms of uncertainty on Trust, Reputation and Risk.

In this paper talk we:

  • examine and develop the use of Ontologies to provide semantics for Trust, Reputation and Risk.
  • Utilize Big Data analytics for development of prediction of Trust, Reputation and Risk. In particular, we examine the use not only of relational data for such prediction but also the use of complex data semi-structured and unstructured data in conjunction with relational data for developing such predictions. Such predictions are very important where a service consumer needs to make a contract with a service provider over an extended finite time horizon.
  • Examine the use of both probabilistic and fuzzy methods to deal with different kinds of uncertainty.

The issues, challenges and proposed models are illustrated through the use of services provided by Logistics Providers. This discussion will not only focus on service providers for commercial logistics but also consider widely different contexts such as Defence Logistics and Supply Chain Provision in Extreme Emergency situations supported by the modern Cloud Services, 5G, Cyber-Physical Systems and Social Media.5G is defined as the next generation of mobile telecommunication. It is a collection of the wireless technologies covering cellular, Wi-Fi, RFID, Bluetooth and others to allow higher coverage and availability, and higher network density in terms of cells and devices, with the key differentiator being greater connectivity as an enabler for Machine-to-Machine (M2M) services and the ultimate Internet of Things (IoT) (GSMA 2014) to support the realisation of Cyber Physical Systems.

 

BIO: Tharam S. Dillon has published more than 800 papers in international conferences and journals, ten authored books and six edited books. His work has over 10.600 citations and he has an H-Index of 47 (source Google Scholar). His research interests include Trust, Risk. Data mining, Neural Networks, Big Data, Web semantics, ontologies, Internet computing, cloud computing, hybrid neuro-symbolic systems, Cyber Physical Systems, software engineering and power systems computation. Prof Dillon is a Life Fellow of the IEEE (USA). Prof. Dillon is a Fellow of ACS and IEAust. Professor Dillon has researched issues related to Trust, Risk, Advanced Analytics and Advanced Data Mining using a wide range of techniques for over 30 years and applied these to Business, Engineering and Bio-Medicine. Specifically, he and his group published the First Books on Trust and Risk in Service Oriented Environments. He proposed the first method for XML Data Mining which was able to mine structure. He has developed the most widely used methods for Load forecasting, System Price forecasting in deregulated systems and Medium Term Economic Production Planning for Hydro Thermal Systems. In the field of Cyber Physical Systems, he has defined an Architectural Framework based on the Internet of Things. His work on Electric Power Systems, when combined with his IT research into Cyber Physical Systems and Web Semantics, has naturally led to his work in Smart Grid. In particular, it has led to the development of the Demand Response Architecture for the Smart Camp ARC Project which is already being implemented for remote sites in Western Australia specifically at Sea Breeze in Karratha. A key feature of the impact of his work is not only that it is frequently cited but that many aspects have been widely implemented and used in Systems around the world. He has a very widely known international reputation. He is Editor-in-Chief of two international journals namely the International Journal of Computer Systems Science and Engineering, and the International Journal of Engineering Intelligent Systems and was Editor in Chief of the International Journal of Electric Power and Energy Systems for 37 years. He has been an Advisory Editor of IEEE Transactions in Industrial Informatics. He was an Advisory Editor of the IEEE Transactions on Neural Networks in the USA.He is chair of the IFIP Working Group 12.7 on Computational Intelligence He was the chair of the IEEE /IES Technical Committee on Industrial Informatics. He was Chair of the IFIP Technical Committee TC12 on Artificial Intelligence (2009-2015). He was the Chair of the IFIP Working Group 2.12/12.4 on Web Semantics. He is the general Chair of the On The Move Conferences (OTM) since 2010. He has been on the advisory editorial board of Computer Communications published by Elsevier. He has been on the program committee of the Avignon Experts Systems Conference held in France since 1988, and on the IEEE Tools for AI Conference. He was International Committee Chairman for Fourth International Conference on Petri Nets for Performance Evaluation (1991), Chairman of the International Program Committee of the IEEE Workshop on Emerging Technologies for Factory Automation (1992). He was Vice Chairman of the International Conference on Expert System Applications to Power Systems (1993). He was Chairman of the Technical Program Committee of the Power Systems Computation Conference (PSCC 1996). He was Technical Committee Chair for PR Fault Tolerant Computer Systems 1994. He is General Chairman of the IFIP Conference on Data Semantics DS-8 held in January 1999 and Technical Program Committee joint chair for the IFIP Conference on Data Semantics DS-9 in April; 2001.He has been on the program committee of numerous other conferences in the computer science and computer engineering fields.

He has been invited to give over 53 keynote papers and tutorials at major international conferences.


Recently they include keynotes on Cloud Computing, Cyber Physical Systems, the Internet of Things, Big Data and Service Oriented Computing.


He has been on the Management Committee of the Australian Telecommunications and Electronics Research Board and a member of the Research Grants Committee (RGC) in Hong Kong.


Professor Dillon acts as a consultant, both in Australia and internationally, on electronic commerce computer systems, database systems and large application software development and expert systems for a wide number of environments including:

  • Business and Stock Market
  • power systems
  • logistics systems
  • telecommunication systems
  • banking and finance
  • medical laboratories
  • Bioinformatics
  • Health Care Systems
  • Social Security Systems


Industrial experience includes research and development of methods, design and implementation of production planning methods at the Swedish State Power Board, Expert Systems for Telecommunication Network Management and Maintenance Scheduling, Alarm Processing, Portfolio Manager and Money Market Management, Banking Corporate Lending Advisor for the ANZ Bank.


The books he has recently co-authored are on the following:


  • Trust and Reputation in Service Oriented Environments
  • Data Mining of Complex Data
  • Ontologies and Multi Agent Systems
  • e-Commerce
  • Object oriented conceptual modelling for the development of traditional software
  • Automated knowledge acquisition
  • Hybrid Multi Agent Systems
  • Harnessing the Service Roundtrip Over the Internet to Support Time-Critical Applications: Concept, Techniques and Cases
  • Risk Assessment and Management in the Networked Economy
  • Semantically Based Traditional Chinese Medicine System
  • Computational Intelligence Techniques for New Product Design

Prof. Hong Shen, University of Adelaide, Australia


RobertDeng

Keynote: Advances of Privacy-Preserving Computing in Clouds

 

Prof. Hong Shen
University of Adelaide
Australia

ABSTRACT: In the era of cloud computing with the evolving demand of big data processing, privacy-preserving computing (PPC) has arisen as an effective way to achieve secure distributed computing and information sharing which serves as the base for realization of widespread Smart City and e-Society. PPC requires to develop a computation paradigm for solving a given problem that takes privacy-protected data as input and produces an output that is utilizable to the public yet secure against privacy attacks. There is a rich literature on the topic and numerous advancements have appeared in the past decade with the focus on improved security against various privacy attacks in the cloud computing environment. In these PPC paradigms, the demand of security assurance against emerging privacy attacks makes the task of maintaining output's utility to public become ever more challenging. In this talk, I will first introduce the problem of privacy-preserving computing, its evolution in the cloud computing environment and research challenges, and give a taxonomy of the existing work based on data protection techniques and output security levels. I will then show our recent work on privacy-preserving statistical and set operations on anonymized and randomized data, and privacy-preserving recommendation on unpublished data. Finally I will conclude the talk by presenting some interesting open problems in privacy-preserving combinatorial optimization including cloud resource allocation currently my team is working on in the University of Adelaide.

 

BIO: Hong Shen is Professor of Computer Science in the University of Adelaide, Australia. He is also a specially-appointed Professor and Director of Institute of Advanced Computing in Sun Yat-sen University, China. He received the B.Eng. degree from Beijing University of Science and Technology, M.Eng. degree from University of Science and Technology of China, Ph.Lic. and Ph.D. degrees from Abo Akademi University, Finland, all in Computer Science. He was Professor and Chair of the Computer Networks Laboratory in Japan Advanced Institute of Science and Technology (JAIST) during 2001-2006, and Professor of Compute Science at Griffith University, Australia, where he taught 9 years since 1992. With main research interests in parallel and distributed computing, algorithms, data mining, privacy preserving computing and high performance networks, he has led numerous research centres and projects in different countries. He has published more than 300 papers including over 100 papers in international journals such as a variety of IEEE and ACM transactions. Prof. Shen received many honours/awards including China's National Endowed Expert of “1000 People Plan”. He has served on the editorial boards of several major international journals and chaired numerous conferences.

Prof. Geoffrey Fox, Department of Intelligent Systems Engineering, Indiana University, USA


RobertDeng

Keynote: Big Data on Clouds and HPC

 

Prof. Geoffrey Fox
Indiana University
USA

ABSTRACT: We review several questions at the intersection of Big Data, Clouds and HPC with the large scale simulations usually run on supercomputers and the target of the exascale initiative, We base this on an analysis of many big data and simulation problems and a set of properties -- the Big Data Ogres -- characterizing them where we distinguish data and model properties. We consider broad topics: What are the application and user requirements? e.g. is the data streaming, how similar are commercial and scientific requirements? What is execution structure of problems? e.g. is it dataflow or more like MPI? Should we use threads or processes? Is execution pleasingly parallel? What about the many choices for infrastructure and middleware? Should we use classic HPC cluster, Docker or OpenStack? Where are Big Data (Apache) approaches superior/inferior to those familiar from Grid and HPC work? The choice of language -- C++, Java, Scala, Python, R highlights performance v. productivity trade-offs.What is actual performance of Big Data implementations and what are good benchmarks? Is software sustainability important and is the Apache model a good approach to this? The difference between capability and capacity computing on HPC clusters.

 

BIO: Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now distinguished professor of Informatics and Computing, and Physics at Indiana University where he is director of the Digital Science Center, and Chair of Department of Intelligent Systems Engineering at the School of Informatics and Computing. He previously held positions at Caltech, Syracuse University and Florida State University after being a postdoc at the Institute of Advanced Study at Princeton, Lawrence Berkeley Laboratory and Peterhouse College Cambridge. He has supervised the PhD of 67 students and published around 1200 papers in physics and computer science with an hindex of 72 and over 27000 citations. He currently works in applying computer science from infrastructure to analytics in Biology, Pathology, Sensor Clouds, Earthquake and Ice-sheet Science, Image processing, Deep Learning, Manufacturing, Network Science and Particle Physics. The infrastructure work is built around Software Defined Systems on Clouds and Clusters. The analytics focuses on scalable parallelism. He is involved in several projects to enhance the capabilities of Minority Serving Institutions. He has experience in online education and its use in MOOCs for areas like Data and Computational Science. He is a Fellow of APS (Physics) and ACM (Computing).

Prof. Victor C. M. Leung, The University of British Columbia, Canada


RobertDeng

Keynote: Video Game as a Service − Cloud Computing Enabled Video Gaming Anywhere on Any Device

 

Prof. Victor C. M. Leung
The University of British Columbia
Canada

ABSTRACT: There is a growing demand by consumers to access their digital entertainments, which are increasingly cloud-based, whenever and wherever they have access to networks of diverse characteristics, and using whatever devices they have in their hands. To address this diversity, we have embarked on a project is to develop design methodologies and enabling technologies to support “play anywhere on any device, pause and resume on any device” capabilities in next-generation cloud-based video games. In particular, scalable and ubiquitous computing resources in the cloud can enable sophisticated video games to be played on mobile devices that have limited processing and storage capacities. In this talk, we give an overview of the general characteristics of mobile cloud computing and related research issues. We propose a cloud-based video game system with cooperative video sharing over a secondary ad hoc wireless network. Experimental results show that the expected server transmission rate can be significantly reduced compared to the conventional video encoding schemes for cloud games. We conclude with a discussion on our ongoing research to develop a cognitive framework that will provide “video game as a service” to players using a variety of devices to access computer games in the cloud over different wireless and wireline networks with diverse quality of service characteristics.

 

BIO: Victor Leung is a Professor of Electrical and Computer Engineering, holder of the TELUS Mobility Research Chair and Director of the Laboratory for Wireless Networks and Mobile Systems at the University of British Columbia. He has contributed some 900 technical papers, book chapters and book titles in the areas of wireless networks and mobile systems. He was a Distinguished Lecturer of the IEEE Communications Society. He has been serving on the editorial boards of the IEEE Wireless Communications Letters, IEEE Journal on Selected Areas in Communications - Series on Green Communications and Networking, IEEE Access and several other journals. Previously, he has served on the editorial boards of the IEEE Transactions on Computers, Vehicular Technology, and Wireless Communications, and the IEEE Journal on Selected Areas in Communications - Wireless Communications Series. He has provided leadership to the organizing and technical program committees of numerous conferences and workshops. Dr. Leung was a winner of the 2012 UBC Killam Research Prize, and the IEEE Vancouver Section Centennial Award. He is a Fellow of IEEE, a Fellow of the Royal Society of Canada, a Fellow of the Canadian Academy of Engineering, and a Fellow of the Engineering Institute of Canada.Victor Leung is a Professor of Electrical and Computer Engineering, holder of the TELUS Mobility Research Chair and Director of the Laboratory for Wireless Networks and Mobile Systems at the University of British Columbia. He has contributed some 900 technical papers, book chapters and book titles in the areas of wireless networks and mobile systems. He was a Distinguished Lecturer of the IEEE Communications Society. He has been serving on the editorial boards of the IEEE Wireless Communications Letters, IEEE Journal on Selected Areas in Communications - Series on Green Communications and Networking, IEEE Access and several other journals. Previously, he has served on the editorial boards of the IEEE Transactions on Computers, Vehicular Technology, and Wireless Communications, and the IEEE Journal on Selected Areas in Communications - Wireless Communications Series. He has provided leadership to the organizing and technical program committees of numerous conferences and workshops. Dr. Leung was a winner of the 2012 UBC Killam Research Prize, and the IEEE Vancouver Section Centennial Award. He is a Fellow of IEEE, a Fellow of the Royal Society of Canada, a Fellow of the Canadian Academy of Engineering, and a Fellow of the Engineering Institute of Canada.

Dr. Yu Zheng, Microsoft Research, China


RobertDeng

Keynote: Urban Computing: Using Big Data to Solve Urban Challenges

 

Dr. Yu Zheng
Microsoft Research
china

ABSTRACT: Urban computing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in cities to tackle urban challenges, e.g. air pollution, energy consumption and traffic congestion. Urban computing connects unobtrusive and ubiquitous sensing technologies, advanced data management and analytics models, and novel visualization methods, to create win-win-win solutions that improve urban environment, human life quality, and city operation systems. Urban computing is an inter-disciplinary field where computer science meets urban planning, transportation, economy, the environment, sociology, and energy, etc., in the context of urban spaces. In this talk, I will overview the framework of urban computing, discussing its key challenges and methodologies from computer science’s perspective. This talk will also present a diversity of urban computing applications, ranging from big data-driven environmental protection to transportation, from urban planning to urban economy. The research has been not only published at prestigious conferences but also deployed in the real world. More details can be found on here.

 

BIO: Dr. Yu Zheng is a research manager from Microsoft Research, passionate about using big data to tackle urban challenges. One of his project, entitled Urban Air, has been deployed with the Chinese Ministry of Environmental Protection, predicting air quality for over 300 Chinese cities. He publishes referred papers frequently as a leading author at prestigious conferences and journals, such as KDD, VLDB, AI, and IEEE TKDE, where he has received five best paper awards. Those papers have been citied almost 10,000 times (H-Index 47). His book, titled “Computing with Spatial Trajectories”, has been used as a text book in universities world-widely and awarded the Top 10 Most Popular Computer Science Book authored by Chinese at Springer. Zheng currently serves as the Editor-in-Chief of ACM Transactions on Intelligent Systems and Technology, and has served as chair on over 10 prestigious international conferences—most recently, as the program co-chair of ICDE 2014. In 2013, he was named one of the Top Innovators under 35 by MIT Technology Review (TR35) and featured by Time Magazine for his research on urban computing. In 2014, he was named one of the Top 40 Business Elites under 40 in China by Fortune Magazine, because of the business impact of urban computing he has been advocating since 2008. Zheng is also a Chair Professor at Shanghai Jiao Tong University, an Adjunct Professor at Hong Kong University of Science and Technology, and Hong Kong Polytechnic University.

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