Dr. Harvey A. Freeman
President of IEEE Communications Society
IEEE’s New Technology Initiatives and ComSoc’s Leading Role
A lot of exciting activities are taken place now in the Communications Society. First, for those who are unaware of this Society, I will give you an overall view of the Society. Then I will talk about these new initiatives: 5G, Internet of Things (IoT), and Fog Computing. 5G is the fifth generation mobile technology and is expected to provide a number of improvements compared to its predecessors in terms of higher data rates (up to 1 Gbps), massive connectivity, flexible service creation and low latency, among others. IoT is the short label for the “Connected World” which extends the emphasis in communications from the connections between people to the connections between devices, the generation and analysis of data from diverse sources, and the actions that drive decisions and autonomous processes. Fog, which distributes computing, control, storage, and networking services closer to end users, is a natural extension of the Cloud—it bridges the Cloud and the endpoints to make computing possible anywhere along the continuum from the Cloud down to the end users. I will talk about the technology of these three initiatives as well as what ComSoc is doing in each. In conclusion, I will give a brief peek at what is coming down the road that ComSoc will want to be involved with in the future.
Harvey is President of HAF Consulting, a Minneapolis-based technology consulting and project management company. He has over thirty-nine years of experience in the communications field holding research, development, management, and consulting positions in major companies and government agencies. He received his B.S.E.E. degree from the University of Pennsylvania and Ph.D. in Electrical Engineering from the University of Illinois.
Harvey is a long-term, enthusiastic volunteer in the Communications Society and currently is the President of the Society. Before this he held many ComSoc positions including Chief Information Officer, several Vice Presidencies, and three terms as ComSoc Treasurer. His numerous contributions to the technical growth of and membership advancement in ComSoc include first Editor-in-Chief/founder of the highly regarded IEEE Network Magazine, founder/first General Chair and past Standing Committee Chair of IEEE INFOCOM, and a founder of the IEEE Conference on Sensor and Ad Hoc Communications and Networks (SECON) and the IEEE Conference on Communications and Network Security (CNS). In 2001, he was honored with ComSoc’s Meetings & Conferences Exemplary Service Award. In 2004, he received the Society’s Donald W. McLellan Meritorious Service Award.
Professor Joshua Huang
Distinguished Professor, Director of Big Data Institute, Shenzhen University
Big Data Initiatives in China: Opportunities and Challenges
Implementing national big data strategy has been added in China 13th Five-year Plan which will be carried out in 2016-2020. In September 2015, the State Council of China published an action plan for promoting the development of big data, specifying the objectives and the key areas of big data development. Many big data initiatives are being started in governments, research community and industry in China. In this talk, I will first introduce some key initiatives in the areas of open government data for sharing, data resource development, big data research and technology innovation, and industrial applications. Then, I will discuss some opportunities and challenges in implementing this national big data strategy. After that, I will present some research activities at Big Data Institute of Shenzhen University, including new machine learning algorithms for high dimensional data analysis, an asymptotic ensemble learning strategy and distributed framework for implementing scalable algorithms for big data and technologies for building big data platform,. Finally, I will present a real application of big manufacturing data and some ideas for industrialization of big data technology.
Dr. Joshua Zhexue Huang is a distinguished professor at College of Computer Science and Software Engineering in Shenzhen University. He is the founding director of Big Data Institute of Shenzhen University, Director of State Information Center Shenzhen Big Data Institute and Director of Shenzhen Key Laboratory for High Performance Data Mining. He is also adjunct professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. Prof. Huang is known for his contributions to the development of a series of k-means type clustering algorithms in data mining, such as k-modes, fuzzy k-modes, k-prototypes and w-k-means that are widely cited and used, and some of which have been included in commercial software. He has extensive industry expertise in business intelligence, data mining and big data analysis. He has been involved in numerous consulting projects in Australia, Hong Kong, Taiwan and mainland China. Dr Huang received his PhD degree from the Royal Institute of Technology in Sweden. He has published over 150 research papers in conferences and journals. In 2006, he received the first PAKDD Most Influential Paper Award. He was the program chair of PAKDD 2011, the local organization chair of ICDM 2014 and the conference co-chair of PAKDD 2016.
Professor Vu Duong
Director of John von Neumann Institute, VNU-HCM
From Communication Data to Human Behaviours in Task-Specific Activities: Case of Air Traffic Management
Recent human dynamics research has unmasked astonishing statistical characteristics such as scaling behaviors in human daily activities. However, less is known about the general mechanism that governs the task-specific activities. In particular, whether there exists such scaling law when human is under high pressure remains an open question. Current air traffic management system is highly human-centered, in which safety is the most important factor to be concerned by air traffic controllers who always work under high pressure therefore it provides a unique platform to study scaling behavior of human activity under high pressure. In this talk, we discuss the extension of fluctuation scaling method to study air traffic controller's communication activity by investigating two empirical communication datasets. Taken the number of controlled flights as the size-like parameter, we found that the relationships between the average communication activity and its standard deviation in both datasets can be well described by Taylor's power law, with scaling exponent α ≈ 0.77 for the real operational data and α ≈ 0.54 for the real-time training data. The difference between the exponents suggests that human dynamics under pressure is more likely dominated by the exogenous force. This has allowed us to develop a general model and provide simulation evidences showing that the cognitive strategies could be the source of Taylor's law in controller's behavior. In this talk, emphasises are given on findings may lead to further understanding of human behavior such as eye movements in human observations under specific tasks.
(Note: The results presented in this talk is jointly investigated by the speaker and his former Doctoral student, Yanjun Wang, currently Associate Professor at Nanjing University of Aeronautics and Astronautics, and partially published in Physica A: Statistical Mechanics and its Appliations 441:151 (2016) under the title "Human activity under high pressure: A case study on fluctuation scaling of air traffic controller’s communication behaviors.”)
Vu is currently Director of John von Neumann Institute, the center of excellence of Viet Nam National University Ho Chi Minh City for Applied Mathematics, Systems, Information and Knowledge Science. Prior to his appointment, he had been a Professor of Complex Systems (2003) for Ecole Pratique des Hautes Etudes - Sorbonne Paris, and Head of Innovative Research then Senior Scientific Advisor at EUROCONTROL, Europe (1995-2012).
Throughout his career, Dr. Duong has made major scientific contributions in his field of study that concerns Artificial Intelligence and Civil Aviation. He served as Member, European Union SESAR Scientific Committee (2010 – 2012) as well as co-Chair of International Conferences such as the IEEE – RIVF (2003 – 2007); US/Europe ATM R&D seminar (2009, 2011); ICRAT (2004 – 2010). He also served on several editorial boards including ATC Quarterly and Elsevier Transport Research - Part C: Technologies. Dr. Duong supervised more than 20 Doctoral Theses in Operations Research, Systems Science and Computer Science. He had been instrumental for the creation of IEEE Section Vietnam in 2007.
Dr. Duong began his higher education at the prestigious Ecole Nationale des Ponts et Chaussées of France where he obtained the degree of Master in Engineering in 1986, and Ph.D. in Artificial Intelligence in 1990. He has published more than 80 articles in peer-reviewed journals and conferences.
In his free time, Vu participates in Triathlons, including several IAAF International Marathons and Ironman 70.3 in Asia Pacific.