講演会のご案内(2018/12/20(木)-21(金)＠北海道大学)

以下の通り電子情報通信学会北海道支部及びIEEE Sapporo Sectionの共同主催講演会が開催されますのでご案内いたします．皆様のご参加をお待ちしております．

Schedule

Thu Dec 20, 2018, 10:15-11:45, 13:30-15:00, 15:45-17:15
Fri Dec 21, 2018, 10:15-11:45, 13:30-15:00, 15:45-17:15

Venue

Room 11-17,
Graduate School of Information Science and Technology Building,
Hokkaido University
https://www.ist.hokudai.ac.jp/eng/access/

Sponsors

IEEE Sapporo Section, IEICE Hokkaido Section

Contact Person

Yoshikazu Miyanaga, Professor
Graduate School of Information Science and Technology,
Hokkaido University
miya(at)ist.hokudai.ac.jp

Lecture 1 – Thu Dec 20, 2018, 10:15-11:45 –

Title

Research into Internet of Things at UTS

Lecturer

Dr. Eryk Dutkiewicz
Professor
School Head of Electrical and Data Engineering
University of Technology Sydney, Australia

Abstract

The Internet of Things (IoT) has the potential to enable many new applications and bring economic benefits. In this presentation we discuss research into IoT technologies at University of Technology Sydney (UTS) into several application spaces. We present applications in the areas of smart buildings, renewable energy and storage systems and mission critical target recognition. For smart building applications the Engineering and IT Building at UTS in Sydney is used as an example. It consists of a large number of embedded sensors that provide near real-time data for data analytics of the building. The second example are microgrids for renewable energy systems that enable local electric power generation such as a roof-top solar photovoltaic system with a battery bank. This configuration not only provides users a flexible scheme of electricity generation and consumption but users can also participate in electricity sharing and trading as prosumers. A microgrid is an enabling technology to achieve such a goal. Several ongoing microgrid projects at UTS including a cotton farm microgrid in a remote community setting will also be presented. Mission critical target recognition in difficult outdoor environments is our third example. This application can be considered to belong to the area of Internet of Mission Critical Things. We describe our research in this area, including experimental work on human target recognition using machine learning approaches.

About Lecturer

Professor Eryk Dutkiewicz obtained his Bachelor of Electrical and Electronic Engineering from the University of Adelaide, Australia in 1988, his Master of Science in Applied Mathematics from the University of Adelaide, Australia in 1992 and his PhD (Telecommunications) from the University of Wollongong, Australia in 1996. From 1999 to 2004 he worked at Motorola Laboratories in Sydney where he managed a wireless research laboratory. During that time he was also deeply involved in the development of the popular WiFi technology. Since returning to academia in 2004 he has worked closely with industry partners including Motorola, Freescale, Intel and Nokia. He is currently the Head of School of Electrical and Data Engineering at the University of Technology Sydney in Australia. He is an author of over 290 research papers and several book chapters. His professional activities in recent years included participation on various International Steering Committees. He was the General Chair of IEEE VTC 2017-Spring in Sydney.

Lecture 2 – Thu Dec 20, 2018, 13:30-15:00 –

Title

Big Data and Internet of Things for Swarm Flying Robots

Lecturer

Prof. Elmer Dadios
Professor
De La Salle University, Philippines
IEEE Region 10 ExCom member

Abstract

Big Data and Internet of Things play very critical role on developing multiple mobile robots that cooperates and behave like a swarm. Swarm robotics is an approach for the coordination of large numbers of relatively simple robots. In this kind of robotic system, a single robot’s capability is limited in terms of sensing, computation, and communication but its behavior can be designed in such a way that a global behavior emerges from the local interactions among robots and between the robot and its environment. Swarm flying robots is an interesting research nowadays. When multiple robots are flying in the environment, communication and information sharing is very important for the robots to do specific task and avoid dynamic and static obstacles. This research presents the development of swarm algorithms for unmanned aerial vehicles addressing the challenging issues of big data and internet of things. The actual robots SWARM behaviors are implemented and tested through computer simulations and in real physical environment.

About Lecturer

Dr. Elmer P. Dadios, or “Elmer” to colleagues and friends, is a consultant on software and hardware development in the area of robotics and intelligent systems application. His research interests include: artificial intelligence, evolutionary systems, fuzzy logic, manufacturing processes, neural networks, robotics, software engineering, automation and intelligent systems. He holds the highest faculty rank (Full Prof 10) of the De La Salle University (DLSU). In May 2008, Elmer was conferred the title of University Fellow, the highest award and recognition given by DLSU to faculty members who exhibit consistent scholarly pursuit through research and publication, effective teaching performance, and exemplary modeling of the Lasallian core values.

A multi-awarded educator and scholar, Elmer has earned over 20 recognitions and distinctions from various national scientific award-giving bodies and professional organizations. Among the more recent major awards he garnered include: 2018 D. M. CONSUNJI AWARD for Engineering Research from Philippines Association of Science and Technology (PhilAST). Lifetime Achievement Award from the National Research Council of the Philippines (NRCP). Outstanding Scientific Paper Award for his “Analysis of Colonic Histopathological Images Using Pixel Intensities and Hough Transform” from the National Academy of Science and Technology (NAST). 50 Men and Women of Science and Technology and Scholar Achievers Award from the Department of Science and Technology (DOST). Elmer has been very visible in both the local and international milieu, not only by attending conferences but also in sharing his expertise with colleagues and other institutions. Currently, he serves as editor of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) published by the Fuji Technology Press, Ltd. (Tokyo, Japan); editor in chief of the Journal of Computational Innovations and Engineering Application (JCIEA) published by DLSU Publishing House, editorial board member of the International Journal of Advanced Robotic Systems, InTech Open Access Publisher; He is very active in the Institute of Electrical and Electronics Engineering (IEEE) profesional organization. He is currently a member of the IEEE Asia and Pacific (R10) Executive Committee. He is the chair of the IEEE R10 Awards and Recognition Committee; He is the chair of the IEEE Computational Intelligence Society Philippines Chapter; At the national level, Elmer is the president of NEURONEMEK Corporation; Founder and past president of the Mechatronics and Robotics Society of the Philippines.

Elmer earned his Bachelor of Science in Electrical Engineering from the Mindanao State University in Marawi City, Philippines; and his Master of Science in Computer Science from De La Salle University. He holds a PhD from the Manufacturing Engineering, Loughborough University, United Kingdom.

Lecture 3 – Thu Dec 20, 2018, 15:45-17:15 –

Title

IoT and Blockchain: Technologies, Challenges, and Applications

Lecturer

Prof. Ren Ping Liu
Professor
University of Technology Sydney, Australia

Abstract

The Internet of Things (IoT) is poised to transform our lives and unleash enormous economic benefit. In this talk, we discuss a wide range of IoT technologies and their applications, as well as the security and trust implications. We argue that the current security issues in IoT can be attributed to the centralized network architecture. Blockchain, a distributed ledger, was initially designed as a financial transaction tool. Remarkably, its cryptographic security benefits, such as user anonymity, decentralization, fault tolerance, transaction integrity and authentication, can be used to resolve security and privacy issues of IoT.

In UTS, we are working with industry to develop next generation Internet of Things (IoT) and Blockchain technologies to achieve real time tracking and monitoring from production plants through export supply chains to overseas markets. A Blockchain enabled data platform has been developed to secure IoT data records, enable transparent and trusted data sharing. Smart contracts are developed to manage and automate commercial transactions following the commodity flows.

In this talk, we will discuss the benefits, limitations, and challenges of IoT and Blockchain. I will present some of our latest results in IoT and Blockchain applications.

About Lecturer

Ren Ping Liu is a Professor and Head of Discipline of Network and Cybersecurity in the School of Electrical and Data Engineering at University of Technology Sydney. He is an Adjunct Professor in Hokkaido University. He is also the co-founder and CTO of Ultimo Digital Technologies, developing IoT and Blockchain. Prior to that he was a Principal Scientist and Research Leader at CSIRO, where he led wireless networking research activities. Professor Liu was the winner of Australian Engineering Innovation Award and CSIRO Chairman’s medal. He specialises in protocol design and modelling and has delivered networking solutions to a number of government agencies and industry customers. His research interests include 5G, VANET, IoT, cybersecurity, and Blockchain. He has over 150 research publications and has supervised over 30 PhD students.

Professor Liu was the founding chair of IEEE NSW VTS Chapter and a Senior Member of IEEE. He served as Technical Program Committee chairs, Organising Committee chairs, and delivered keynote speeches in a number of IEEE Conferences. Ren Ping Liu received his B.E.(Hon) and M.E. degrees from Beijing University of Posts and Telecommunications, China, and the Ph.D. degree from the University of Newcastle, Australia.

Lecture 4 – Fri Dec 21, 2018, 10:15-11:45 –

Title

Towards Terabit Wireless Communications

Lecturer

Prof. Xiaojing Huang
Professor
University of Technology Sydney, Australia

Abstract

With the ever increasing demand for wireless connectivity, mobile data traffic continues to grow following the “omnify” principle, i.e., the data rate is observed to have an order of magnitude increase every five years, making wireless communication one of the most dramatic game-changing technologies. At this “omnify” pace, data rate for wireless transmission is expected to increase by a hundred time from current 10 Gbps within the next decade, achieving terabits per second. As the 5G mobile system emerges, ground based networks become more and more mature. However, there are still significant technological challenges to extend wireless coverage through the integration of space and terrestrial networks and to replace the last mile wired network with terabit wireless links. In this presentation, the evolution of wireless communication technologies is firstly reviewed, and the importance of millimetre wave radio frequency backbones in the integrated space and terrestrial networks is then addressed. An overview of the applications and technical challenges of the emerging terahertz wireless communications is given afterwards. Finally, some enabling techniques for improving spectral efficiency and power efficiency for millimetre wave and terahertz communications are discussed.

About Lecturer

Xiaojing Huang received the B.Eng., M.Eng., and Ph.D. degrees in electronic engineering from Shanghai Jiao Tong University, Shanghai, China, in 1983, 1986, and 1989, respectively. He is currently a professor of information and communications technology with the School of Electrical and Data Engineering and the program leader of Mobile Sensing and Communications with the Global Big Data Technologies Centre, University of Technology Sydney (UTS), Sydney, Australia. He was with the Motorola Australian Research Centre as a Senior and then Principal Research Engineer from 1998 to 2003. He had been an Associate Professor with the University of Wollongong, Wollongong, Australia, from 2004 to 2008. He had been a Principal Research Scientist with the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, Australia, and the project leader of CSIRO’s microwave and millimetre wave backhaul projects from 2009 to 2014. He was a recipient of the CSIRO Chairman’s Medal and the Australian Engineering Innovation Award in 2012 for exceptional research achievements in multigigabit wireless communications. With 30 years of combined industrial, academic, and scientific research experience, he has authored over 300 book chapters, refereed journal and conference papers, major commercial research reports, and has filed 31 patents.

Professor Huang served as Technical Program Committee Chairs and/or Co-Chairs for a number of international conferences such as ISCIT (2007, 2010, 2012-2014, and 2016), ICUWB2013, WPMC2014, and VTC2017-Spring.

Lecture 5 – Fri Dec 21, 2018, 13:30-15:00 –

Title

Video Analytics for Surveillance IoT Applications

Lecturer

Supavadee Aramvith
Professor
Chulalongkorn University, Thailand
IEEE EAB PECC Chair, IEICE Bangkok Section Chair

Abstract

In this talk, we will present and discuss video analytics researches conducted at video technology research group, Chulalongkorn University. As surveillance cameras have been widely installed worldwide, although the main purpose of those cameras is for monitoring, but the most important task is to be able to analyze video contents and extract useful information. Several past and on-going researches such as automatic video segmentation, image super resolution, human action classification, real-time multiple face recognition system, and several implementations of embedded video analytic system on FPGA and Single Board Computers will be discussed.

About Lecturer

Supavadee Aramvith (IEEE S’95-M’01-SM’06, IEICE M’04) received the B.S. (first class honors) degree in Computer Science from Mahidol University, Bangkok, Thailand, in 1993. She received the M.S. and Ph.D. degrees in Electrical Engineering from the University of Washington, Seattle, USA, in 1996 and 2001, respectively. She joined Chulalongkorn University in June 2001. Currently, she is currently an Associate Professor at Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand. Currently, she is an Associate Professor and Head of Digital Signal Processing Laboratory at Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand. She was Associate Head in International Affairs (2007-2016) and Head, Communication Engineering Division (2013-2016).

Her research specialization is in the areas of video coding and processing, specifically error resilience for wireless video transmission, video analytics for surveillance applications, and embedded computer vision system. She has successfully advised 6 Ph.D., 26 Master’s, and 32 Bachelor’s degree graduates. A prolific researcher, she published over 120 papers in international conference proceedings and journals along with four chapters in internationally published books. She has also a rich experience in project management, having served as project leader and former technical committee chair to the NBTC and the former MICT of Thailand. In addition, she is very active in the international arena with leadership positions in international networks such as the JICA Project for AUN/SEED-Net, and professional organizations such as IEEE, IEICE, APSIPA, and ITU. At present, she is a member of the IEEE Educational Activities Board (EAB) and chair of the IEEE EAB Pre-University Education Coordination Committee. She is also Thailand Chapter Chair of IEEE Signal Processing Society and Region 10 representative of its chapters committee. She is IEICE Bangkok Section Chair. She led the Educational Activities and Women in Engineering committees for IEEE Asia Pacific (Region 10) from 2011-2016. She also serves as General Co-Chair (ISMAC 2009-2015, MMM 2018, IEEE ICCE-Asia 2019), Technical Program Co-Chairs (IWAIT 2008, IEEE ISCIT 2010, 2012, 2015, 2017, APSIPA 2016-2017), International Steering Committee (IEEE ISPACS), APSIPA Board of Governors member (2017) and Organizing Committee of many well known conferences such VCIP and ICME.

Lecture 6 – Fri Dec 21, 2018, 15:45-17:15 –

Title

Coping with Cyber Security Threats using Game Theory and Artificial Intelligence: Recent Advances and Challenges

Lecturer

Dr. Diep Nguyen
Lecturer
School Head of Electrical and Data Engineering
University of Technology Sydney, Australia

Abstract

This talk first gives an overview of various potential attacks on a cyber system, ranging from the physical to the application layer. We then discuss recent advances using game theory and artificial intelligence to detect and combat radio jammers, eavesdroppers, and intruders. Specifically, we will discuss different jamming strategies, its reliable detection, and countermeasures using stochastic Markov games. Latest friendly jamming techniques are then presented as effective anti-eavesdropping solutions for power- and computing-limited devices. The talk concludes with our recent results and challenges in using different deep learning architectures to detect potential cyber attacks (e.g., in mobile cloud, traffic classification, intrusion detection).

About Lecturer

Diep N. Nguyen is a faculty member of the Faculty of Engineering and Information Technology, University of Technology Sydney (UTS). He has 15 years of working as an engineer and educator in the areas of IT and engineering with more than 70 publications (including 2 US patents filed, 7 technical reports, and more than 60 refereed IEEE/ACM journal and conference papers, e.g., IEEE JSAC, INFOCOM, TWC, …). He got his ME and PhD from the University of California, San Diego and The University of Arizona in 2008 and 2013. 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 RA (2013) awards, the best paper award at the WiOpt conference (2014), Discovery Early Career Researcher award (DECRA, 2015). His work has been generously sponsored by NSF, ARC Australia, Intel, Huawei …. He has co-organized few IEEE international conferences (e.g., IEEE VTC, ISMICT, ISCIT) as TPC chairs, co-chairs, track chairs. He has served in the TPC committees of various IEEE and international annual flagship conferences, e.g., ICC, Globecom, WCNC. He is also an associate editor of IEEE Transactions on Mobile Computing.