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University of Paris 13, France
Prof. Ben-Othman received his B.Sc. and M.Sc. degrees both in Computer Science from the University of Pierre et Marie Curie, (Paris 6) France in 1992, and 1994 respectively. He received his PhD degree from the University of Versailles, France, in 1998. He is currently full professor at the University of Paris 13 since 2011 and member of L2S lab at CentraleSupélec. Dr. Ben-Othman's research interests are in the area of wireless ad hoc and sensor networks, VANETs, IoT, performance evaluation and security in wireless networks in general. He was the recipient of the IEEE comsoc Communication Software technical committee Recognition Award in 2016, the IEEE computer society Meritorious Service Award in 2016, and he is a Golden Core Member of IEEE Computer Society. He is currently in steering committee of IEEE Transaction on Mobile computing (IEEE TMC), an editorial board member of several journals (IEEE Networks, IEEE COMML, JCN, IJCS, SPY, Sensors…). He has also served as TPC Co-Chair for IEEE Globecom and ICC conferences and other conferences as (IWCMC, VTC'14, ComComAp, ICNC, WCSP, Q2SWinet, P2MNET, WLN,....). He was the chair of the IEEE Ad Hoc and sensor networks technical committee January 2016-2018, he was previously the vice chair and secretary for this committee. He has been appointed as IEEE comsoc distinguished lecturer since 2015 where he did several tours all around the world. He is member of IEEE technical services board since 2016.
Speech Title: Deep learning on array based computing systems
Abstract: We present an automatic compilation method from specification to many cores under user-specified communication constraints. It is based on SAT solvers and can generate a legal scheduling if that ever exists. Then the method is applied to the compilation problem on deep learning, such as Convolution Neural Network computation. We show that optimal scheduling cam be automatically generated for array processors. The preliminary performance evaluation confirms that the automatically generated schedule implemented on FPGA can be more than 1,000 times faster than GPU.
California State University in Fresno, USA
Dr. Nan Wang is currently a professor within the Department of Electrical and Computer Engineering at California State University in Fresno, California. He received his B.S. in Computer Science from Xiamen University in Xiamen, China, and his Ph.D. in Computer Engineering from the University of Louisiana in Lafayette, Louisiana. From 2008 to 2015, Dr. Wang has been working with West Virginia University Institute of Technology, where he earned a tenured position in 2014. Dr. Wang received a research grant of $424,612 as PI from the U.S. National Science Foundation in October 2018. He has served as a keynote speaker, program and publication chair, TPC member, and reviewer for various peer referred journals and conferences, in which he also has numerous publications. Dr. Wang is also serving as a panelist for the U.S. National Science Foundation’s program solicitation for the Japan-US Network Opportunity (JUNO2) and the R&D for Trustworthy Networking for Smart and Connected Communities. He has more than 20 years of combined industry and teaching experience. His research interests include system-on-chip/network-on-chip communication architecture, embedded systems, FPGA/ASIC design and implementation, real-time computing and VLSI design, and wireless communication. In his free time, Dr. Wang serves as a faculty advisor for the Asian Christian Student Organization at the California State University in Fresno, California.
Speech Title: BullDog Mote: Low Power Design Technologies for Wireless Sensor Networks
Abstract: Wireless Sensor Networks (WSNs) are formed by a significant number of sensor nodes deployed in an extensive area in which not all nodes are directly connected. Research has been carried out on WSNs’ clustering structures, routing protocols and Mobile Ad-hoc Network (MANET). WSNs have been widely employed in various real world applications, from air pollution monitoring and landslide detection to structural health monitoring. However, its limited battery life span and data transmission throughput of small sensor nodes majorly hinders its further development. Several attractive low power design techniques, such as energy harvesting, clock scheduling, dynamic voltage scheduling and low power design methods at all of WSNs design layers will be discussed in this talk. The same low-power design techniques can be employed for a variety of other power-constrained applications such as consumer electronics and medical devices. This talk is based upon work supported by the U.S. National Science Foundation under Grant No. 1816197.
Southern University of Science and Technology, China
Prof. Shuang-Hua Yang is a chair professor in Computer Science at Southern University of Science and Technology (SUSTech) in China. He spent over 20 years in the UK Higher Education Institutions before moving back to China. He joined Loughborough University in 1997 as a research assistant, and progressing to a research fellow in 1999, a lecturer in 2000, a senior lecturer in 2003, a professor in 2006, and Head of Department of Computer Science in 2014. His educational history originated in China where he received a BSc in 1983, an MSc in 1986, both from the Petroleum University and a PhD in 1991 from Zhejiang University. He was awarded a Doctor of Science (DSc) degree, a higher doctorate degree, in 2014 from Loughborough University to recognize his scientific achievement in his academic career. He is a fellow of the Institute of Engineering and Technology (IET) since 2014, a fellow of the Institute of Measurement and Control since 2005, and a senior member of IEEE since 2003. He was awarded the 2010 Honeywell Prize by the Institute of Measurement and Control in the UK in recognition of his contribution to home automation research. He was the author of four research monographs and over 200 academic journal papers.
Speech Title: Integrating safety and security risk assessment for Cyber-Physical Systems
Abstract: The term Cyber-Physical Systems (CPS) refers to a new generation of systems with integrated computational and physical capabilities through computation, communication, and control. A typical example of CPS is industrial control systems (ICS). In the past decades, related techniques for CPS have been well studied and developed, and are widely applied in the fields such as Industrial automation, smart transportation, aerospace, environment monitoring, and smart grids. However, with the expansion of CPS complexity and the enhancement of the system openness, most of CPS become not only safety-critical, but also security-critical since deeply involving both physical objects (i.e. industrial processes) and computer networks. Safety and security issues are increasingly converging on CPS, leading to new situations in which these two closely interdependent issues should now be considered together in the risk assessment stage. This talk illustrates the existing approaches of risk assessment from the perspectives of safety, security and their integration through a series of industrial cases. The solutions of integrating safety and security risk assessment might be used in networked industrial processes or infrastructures, or other general cyber-physical systems
Chongqing University, China
Dr. Chen received the B.S. and M.Eng. degrees from the University of Electronic Science and Technology of China, Chengdu, China, in 2010 and 2013, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2017. He was a Postdoctoral Researcher with the School of Electrical and Electronic Engineering, Nanyang Technological University, from 2017 to 2019. He is currently a Tenured-Track Assistant Professor with the School of Microelectronics and Communication Engineering, Chongqing University, China. His research interests include visible light communication, Li-Fi, visible light positioning, optical access networks, and digital signal processing. He received the Best Paper Award from the IEEE Photonics Global Conference, in 2015, and the outstanding reviewer certificates from Elsevier Optical Fiber Technology and Digital Signal Processing, in 2017 and 2018, respectively. He was a recipient of the Publons Peer Review Award in both engineering and physics, in 2018. He was also a co-recipient of the IET Optoelectronics Premium Award, in 2018.
Speech Title: Visible light communication (VLC): towards next generation green wireless communications
Abstract: Illuminating white light-emitting diodes (LEDs)-enabled visible light communication (VLC), which is also known as LiFi, has attracted ever-increasing attention in recent years, due to the rapid development of solid-state lighting (SSL) technology. The LEDs in general VLC systems play a dual role of illumination and wireless communication. Compared with traditional radio frequency (RF)-based communication technologies such as WiFi, VLC is a green technology which enjoys many inherent advantages including license-free spectrum, high data rate, cost-effective front-ends, high security, electro-magnetic interference (EMI)-free operation, etc. Nevertheless, the development and deployment of high-speed and large-coverage VLC systems face many challenges, such as the small modulation bandwidth of commercially available off-the-shelf white LEDs, the limited coverage of each LED access point (i.e., optical attocell) and the inter-cell interference (ICI) in multi-cell VLC networks. This talk will first give a brief introduction about the emerging VLC technology and then several previous works we have done will be presented to address the challenges faced by current VLC systems.