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Keynote 1: |
Date & time: Wednesday, June 30 |
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Dr. T. Znati & |
Short Bio:
Dr. Znati
received a Ph.D. degree in Computer Science from Michigan State
University in 1988, and a M.S. degree in Computer Science from Purdue
University, in 1984. He is a Professor in the Department of Computer
Science, with a joint appointment in Telecommunications in the
Department of Information Science, and a joint appointment in Computer
Engineering at the School of Engineering. He currently serves as the
Director of the Computer and Network Systems Division at the National
Science Foundation. Dr. Znati also served as a Senior Program Director
for networking research at the National Science Foundation. In this
capacity, Dr. Znati led the Information Technology Research (ITR)
Initiative, a cross-directorate research program, and served as the
Chair of ITR Committee. Dr. Znati's current research interests focus on the design and analysis of evolvable, secure and resilient network architectures and protocols for wired and wireless communication networks. He is a recipient of several research grants from government agencies and from industry. He is frequently invited to present keynotes in networking and distributed conferences both in the United States and abroad. Dr. Znati currently serves as the General Chair of GlobeCom 2010. He also served as the general chair of IEEE INFOCOM 2005, the general chair of SECON 2004, the first IEEE conference on Sensor and Ad Hoc Communications and Networks, the general chair of the Annual Simulation Symposium, and the general chair of the Communication Networks and Distributed Systems Modeling and Simulation Conference. He is a member of the Editorial Board of the International Journal of Parallel and Distributed Systems and Networks, the Pervasive and Mobile Computing Journal, the Journal on Wireless Communications and Mobile Computing, and Wireless Networks, the Journal of Mobile Communication, Computation and information. He was also a member of the editorial board of the Journal on Ad-Hoc Networks, and a member of IEEE Transactions of Parallel and Distributed Systems. |
| Keynote Title: On Cyber-Physical Systems Challenges and Research Opportunities | |
| Abstract: Unprecedented advances in wireless and mobile technologies, coupled with the proliferation of social networks and applications, is paving the way for a new era of cyber-physical systems that will revolutionize the way humans interact with their physical environment. Cyber-physical systems exhibit deeply integrated computational and physical capabilities, interacting with humans through diverse modalities. The ability to interact with and expand capabilities of the physical world through computational means is the key technological multiplier. Realizing the vision of cyber-physical systems, however, brings about unprecedented challenges, technical and non-technical, underscoring the need for radical thinking and new insights into how we design and deploy distributed cyber-physical systems, on which our lives and critical sectors of our society can depend. These systems are likely to exhibit complex dynamics at different spatial and temporal scales, and various levels of control. They need to be predictive, reactive to conditions and external events, and receptive to coordination and negotiation. They also need to be fault tolerant and recoverable, satisfying potentially very high availability and timeliness requirements. As critical as these physical and cyber infrastructures are to our lives and diverse sectors of our society, we have little rigorous knowledge for understanding their structure and dynamics. The talk will discuss challenges and future research directions in how to effectively design robust and secure large-scale complex systems, so that we can engineer them to have predictable behaviors. | |
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Keynote 2: |
Date & time: Thursday, July 1 |
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Dr. A. Helmy
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Short Bio:
Dr. Ahmed Helmy is an Associate Professor at the
Computer and Information Science and Engineering (CISE) Department at
the University of Florida (UF). He received his Ph.D. in Computer
Science 1999 from the University of Southern California (USC), M.Sc. in
Electrical Engineering (EE) 1995 from USC, M.Sc. in Engineering
Mathematics in 1994 and B.Sc. in Electronics and Communications
Engineering 1992 from Cairo University, Egypt. He was a key researcher
in the Network Simulator NS-2 and Protocol-Independent Multicast (PIM)
projects at USC/ISI from 1995 to 1999. Before joining UF in 2006, he was
on the Electrical Engineering-Systems Department faculty at USC starting
Fall 1999, where he founded and directed the Wireless and Sensor
Networks Labs. In 2002, he received the
NSF CAREER Award for his research on resource discovery and mobility
modeling in large-scale wireless networks (MARS). In 2000 he received
the Zumberge Award, and in 2002 he received the best paper award from
the IEEE/IFIP MMNS Conference. In 2003 he was the Electrical Engineering
nominee for the USC Engineering Jr. Faculty Research Award, and a
nominee for the Sloan Fellowship. In 2004 and 2005 he got the best
faculty merit ranking at the Electrical Engineering department at USC.
He was a winner in the ACM MobiCom 2007 and finalist in 2008 SRC
competitions. He is leading (or had led) several NSF funded projects
including MARS, STRESS, ACQUIRE and AWARE. His research interests
include design, analysis and measurement of wireless ad hoc,
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Keynote Title: Data-driven Modeling and Design of Networked Mobile Societies: A Paradigm Shift for Future Social Networking |
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| Abstract:
The future of social networking is in the mobile
world. Future network services are expected to center around human
activity and behavior. Wireless networks (including ad hoc, sensor
networks and DTNs) are expected to grow significantly and accommodate
higher levels of mobility and interaction. In such a highly dynamic
environment, networks need to adapt efficiently (performance-wise) and
gracefully (correctness and functionality-wise) to growth and dynamics
in many dimensions, including behavioral and mobility patterns, on-line
activity and load. Understanding and realistically modeling this
multi-dimensional space is essential to the design and evaluation of
efficient protocols and services of the future Internet.
This level of understanding to drive the modeling and protocol design shall be developed using data-driven paradigm. The design philosophy for the proposed paradigm is unique in that it begins by intensive analysis of measurements from the target contexts, which then drive the modeling, protocol and service design through a systematic framework, called TRACE. Components of TRACE include: 1. Tracing and monitoring of behavior, 2. Representing and Analyzing the data, 3. Characterizing behavioral profiles using data mining and clustering techniques, and finally 4. Employing the understanding and insight attained into developing realistic models of mobile user behavior, and designing efficient protocols and services for future mobile societies. Tracing at a large scale represents the next frontier for sensor networks (sensing the human society). Our latest progress in that field (MobiLib) shall be presented, along with data mining and machine learning tools to meaningfully analyze the data. Several challenges will be presented and novel use of clustering algorithms will be provided. Major contributions to modeling of human mobility (the time variant community model, TVC) will also be discussed. Finally, insights developed through analysis, mining and modeling will be utilized to introduce and design a novel communication paradigm, called profile-cast, to support new classes of service for interest-aware routing and dissemination of information, queries and resource discovery, trust and participatory sensing (crowd sourcing) in future mobile networks. Unlike conventional - unicast, multicast or directory based - paradigms, the proposed paradigm infers user interest using implicit behavioral profiling via self-monitoring and mining techniques. In order to capture interest, a spatio-temporal representation is introduced to capture users behavioral-space. Users can then identify similarity of interest based on their position in such space. The proposed profile-cast paradigm will act as enabler to new classes of service, ranging from mobile social networking, and navigation of mobile societies and spaces, to emergency alerts and disaster relief using infrastructure-less networks, among others.
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