Frontiers of Communications and Networking Workshop
To provide a platform for scholars in the field of communications and networking in Taiwan to interact, collaborate, and share new and trending ideas with each other annually.
時間：Fri. Nov. 11, 2016
地點：Auditorium 106 at new IIS Building, Academia Sinica
On Application-Aware Information Extraction for Big Data in Social Networks
Ming-Syan Chen
Professor
Institute of Communications Engineering
Department of Electrical Engineering
National Tsing Hua University,
Taiwan
Abstract
Due to the paradigm shift to the Cloud computing, data has been accumulated at fast pace in various applications. Among others, the number of social network activities is increasing drastically. It has become very desirable to conduct various analyses for applications on social networks. However, as the scale of a social network has become prohibitively large, it is infeasible to scrutinize the data and extract the key essence from the entire social network. This issue becomes further complicated due to the heterogeneous nature of the data. As a result, a significant amount of research effort has been elaborated upon extracting the essential application-dependent information from a social network. In this talk, we shall examine some recent studies on data processing and information extraction for social networks. Explicitly, we shall explore the methods for three levels of information extraction in a social network, namely, parameter extraction, information extraction, and structure extraction, and interpret them from their respective objectives. We then comment on how to conduct application-aware information extraction for big data in social networks.
Biography
Ming-Syan Chen received the Ph.D. degrees in Computer, Information and Control Engineering from The University of Michigan, Ann Arbor, MI, USA. He is now the Dean of the College of Electrical Engineering and Computer Science and also a Distinguished Professor in EE Department at National Taiwan University. He was a research staff member at IBM Thomas J. Watson Research Center, NY, USA, the President/CEO of Institute for Information Industry (III), and the Director of Research Center of Information Technology Innovation (CITI) in the Academia Sinica. His research interests include databases, data mining, social networks, and IoT applications. He is a recipient of the National Chair Professorship and also the Academic Award of the Ministry of Education, the NSC (National Science Council) Distinguished Research Award, Y.Z. Hsu Science Chair Professor Award, Pan Wen Yuan Distinguished Research Award, Teco Award, Honorary Medal of Information, and K.-T. Li Research Breakthrough Award for his research work, and also the Outstanding Innovation Award from IBM Corporate for his contribution to a major database product. Dr. Chen is a Fellow of ACM and a Fellow of IEEE.
An Energy Efficiency Perspective on Rate Adaptation for 802.11n NIC
Chi-Yu Li
Assistant Professor
Department of Computer Science
National Chiao Tung University,
Taiwan
Abstract
Rate adaptation (RA) has been traditionally used to achieve high goodput. In this talk, I will present our contribution on designing RA for 802.11n NICs from an energy-efficiency perspective. We show that current MIMO RA algorithms are not energy efficient for NICs despite ensuring high throughput. The fundamental problem is that the high-throughput setting is not equivalent to the energy-efficient one. Marginal throughput gain may be realized at high energy cost. We then propose EERA and EERA+, two energy-based RA schemes that tradeoff goodput for energy savings at NICs. EERA applies multidimensional ternary search and simultaneous pruning to speed up its runtime convergence in single-client operations, and uses fair airtime sharing to handle multiple-client operations. EERA+ further searches for multiple, staged rates to yield more energy savings over EERA. Our experiments have confirmed their effectiveness in various scenarios.
Biography
Chi-Yu Li is currently an Assistant Professor with the Department of Computer Science, National Chiao Tung University (NCTU). He received the PhD degree in computer science from University of California, Los Angeles (UCLA) in 2015. Before joining UCLA, he received his Master’s and Bachelor’s degrees from the Department of Computer Science, NCTU. His research interests include wireless networking, mobile networks and systems, and network security. He has published several papers in top-tier academic conferences of both networking and security areas, such as ACM MOBICOM, IEEE INFOCOM, and ACM CCS.
Chair Professor & Dean
College of Computer Science
National Chiao Tung University,
Taiwan
Abstract
IoT (Internet of Things) has been predicted as the next wave of ICT. On the other hand, software-defined networks (SDN) are receiving more attention. These two things do not seem to much related at the first glance. However, we observe that the success of IoT and SDX will not only rely on the power of devices and clouds, but also on the intelligence of edge networks. On looking at the IoT networking issues, we identify the following features: (i) massive connectivity, (ii) devices generating tiny but periodical packets for the most of the time, (iii) rare event-driven traffics with high priority at emergencies. Traditional random access mechanisms do not fit well for mMTC. This demands for new design of MAC and signaling protocols for IoT networks. We will discuss how we model this problem and propose potential approaches assuming the existence of intelligent edge computing.
Biography
Yu-Chee Tseng got his Ph.D. in Computer and Information Science from the Ohio State University in January of 1994. He was/is Chairman (2005-2009) and Dean (2011-present), College of Computer Science, National Chiao-Tung University, Taiwan. Dr. Tseng has been awarded as NCTU Chair Professor (2011-present) and Y. Z. Hsu Scientific Chair Professor (2012-2013). His research interests include mobile computing, wireless communication, and sensor data mining. Dr. Tseng is an IEEE Fellow. He served/serves on the editorial boards of IEEE Trans. on Vehicular Technology, IEEE Trans. on Mobile Computing, IEEE Trans. on Parallel and Distributed Systems, and IEEE Internet of Things Journal. His h-index is more than 60.
Professor
Institute of Communications Engineering
Department of Electrical Engineering
National Tsing Hua University,
Taiwan
Abstract
Maintaining secrecy in wireless communications has long been a challenging but important task, especially due to the broadcast nature of wireless transmissions. While most techniques in the past rely on conventional cryptographic approaches, information-theoretic studies on physical layer secrecy have demonstrated the possibility of achieving confidentiality solely through coding and signal processing. In this talk, I will give a brief overview of information-theoretic secrecy, and discuss the impact of channel state information (CSI) on the effectiveness of these approaches. In particular, I will talk about the effect of quantized channel feedback, training and channel estimation procedures, and CSI locations on the achievable secrecy rate. We find that many design concepts that have originated from traditional studies on point-to-point channels are no longer applicable in the secrecy setting. Finally, I will summarize some other attempts to support wireless network security in the physical layer, such as physical layer authentication and secret key generation.
Biography
Y.-W. Peter Hong received his B.S. degree from National Taiwan University in 1999, and his Ph.D. degree from Cornell University in 2005, both in electrical engineering. He joined the Institute of Communications Engineering and the Department of Electrical Engineering at National Tsing Hua University, Hsinchu, Taiwan, in Fall 2005, where he is now a Full Professor. His research interests include physical layer secrecy, cooperative communications, distributed signal processing for sensor networks, and cross-layer design for wireless networks. Dr. Hong is currently an Editor for IEEE Trans. on Communications and, in the past, has also served on the editorial boards of IEEE Trans. on Signal Processing and IEEE Trans. on Information Forensics and Security.
