CSPS’17 International Conference
Complexity, Chaos, Catastrophe and
Cognitive Science
Definitions, mathematical models,
applications
By
Tariq S Durrani
University
of Strathclyde Glasgow, Scotland UK
This presentation will review
fundamental definitions and concepts that link Complexity and Chaos theory by
developing the interactions through a basic analysis of Systems Theory ranging
from Linear and Non-linear Dynamical Systems; to the study of Attractors and
Strange Attractors leading to the differentiation between stable systems and
chaotic systems.
The work will be extended to the
presentation of Catastrophe Theory and illustrate the links between chaotic
phenomena and catastrophic events.
Using mathematical tools the
various phenomena will be illustrated and emerging field of Cognitive Science
will addressed.
Wherever applicable real world
phenomena will be explored to illustrate the linkages between the different
systems and processes, identifying recent catastrophes arsing from Chaotic
phenomena and vice versa.
PROFESSOR TARIQ S DURRANI
Research Professor
University of Strathclyde
Glasgow Scotland UK
Professor Tariq S Durrani received his MSc and PhD
degrees in 1967 and 1970 respectively, from the University of Southampton, UK. After postdoctoral research at
Southampton, he joined the University of Strathclyde, Glasgow, as a Lecturer in
1976, and was appointed Professor of Signal Processing in 1982. Currently he is a Research
Professor in the Department.
For the past twenty-five years, he has worked on
and supervised some 60 projects sponsored by the UK Research Councils,
government and industry, the US Navy, and the EU, amongst others. He has supervised over 40 PhD
students, and is the author/co-author of more than 350 papers and six
books. His research interests
are in the areas of Communications Signal/ Image Processing, Technology
Management and Higher Education Management.
He has held visiting appointments at Princeton,
University of Southern California, Stirling University, UESTC, Chengdu and
Tianjin Normal University.
He is active in professional circles. He was the
2006-2007 President of the IEEE Engineering Management Society, and was a Past
President of the IEEE Signal Processing Society. From 2010-2011 he was IEEE
Director and (global) Vice President Educational Activities for the IEEE.
He has been a Director of the UK National
Commission for UNESCO, and has been recently appointed the Global Editor for
the UNESCO Report on Engineering II, which will address the current and future
trends in n terms off Sustainable Development Goals and Engineering around the World
He is a Fellow of the Royal Society of Edinburgh,
the Royal Academy of Engineering, the IEEE, the IET and The Word Academy of
Sciences. He was awarded the OBE in December 2002 for services to higher
education and electronics research.
Keynote II:
Energy Informatics for Smart Interaction of Energy and Information
(Einstein)
By
Zhisheng Niu IEEE Fellow
Department of Electronic Engineering,
Tsinghua University
Tsinghua National Laboratory for Information
Science and Technology (TNList)
ABSTRACT
Motivated by green communications in 5G
and beyond, we need to answer a fundamental question: can we send more
information bits with less
energy (SMILE)?
Although Shannon has established a theoretical relationship between maximum
information rate and the minimum energy needed to convey the information over
AWGN channels, more sophisticated relationship between energy and information
are still unknown.
In this talk, we
first outline the energy supply and consumption situation in various
information systems and claim that there is a great potential to reduce energy
wastes by making information systems more adaptive to traffic demands and QoS
requirements, which makes SMILE possible. Then, the framework of Energy Informatics for Smart
Interaction of Energy
and Information (Einstein)
is introduced and its technical challenges are highlighted. Finally, we take the energy management
in wireless networks with harvested energy as an example to demonstrate how to
match energy to information flows and how to exploit information to energy
flows.
BIOGRAPHY
Zhisheng Niu graduated from
Beijing Jiaotong University, China, in 1985, and got his M.E. and D.E. degrees
from Toyohashi University of Technology, Japan, in 1989 and 1992,
respectively. During 1992-94, he
worked for Fujitsu Laboratories Ltd., Japan, and in 1994 joined with Tsinghua
University, Beijing, China, where he is now a professor at the Department of
Electronic Engineering. He was a
Visiting Researcher at National Institute of Information and Communication Technologies
(NICT), Ministry of Internal Affairs and Communications (MIC), Japan, from Oct.
1995 to Feb. 1996, and a Visiting Senior Researcher at Hitachi Central Research
Laboratory, Japan, from Feb. 1997 to Feb. 1998. His major research interests include queueing
theory, traffic engineering, mobile Internet, radio resource management of wireless networks, and
green communication and networks.
Dr. Niu
has been an active
volunteer for various academic societies, including Director for
Asia-Pacific Board (2008-09), Director for Conference Publications (2010-11),
and Chair of Emerging Technology Committee (2014-15) of IEEE Communication
Society. He has served as associate editor-in-chief of IEEE/CIC joint
publication China Communications
(2012-16) and editor of IEEE Wireless
Communication (2009-13), and currently serving as area editor of IEEE Trans. Green Commun. & Networks.
He also served as a distinguished lecturer (2012-15) of IEEE Communication
Society and a distinguished lecturer (2014-16) of IEEE Vehicular Technologies
Society. Dr. Niu received the Outstanding Young Researcher Award from Natural
Science Foundation of China in 2009 and the Best Paper Award from IEEE
Communication Society Asia-Pacific Board in 2013. He was also the Chief Scientist of the
National Basic Research Program (so called “973 Project”) of China on "Fundamental Research on the Energy and Resource
Optimized Hyper-Cellular Mobile Communication System" (2012-2016), which is the
first national project on green communications in China. He is a fellow of
both IEEE and IEICE.
Keynote III:
Massive MIMO 5G Cellular Networks
By
Qilian Liang, IEEE Fellow
Distinguished University Professor
University of Texas at Arlington
ABSTRACT
Enhanced mobile broadband (eMBB) is one of the key use-cases for the development of the new standard 5G New Radio for the next generation of mobile wireless networks. Massive MIMO, the usage of millimeter wave (mm-wave) band, and the network densification with the introduction of small-sized cells are the three technologies that will permit implementing eMBB services and realizing the Gbit/s mobile wireless experience. In this talk, I will discuss three main topics based on Massive MIMO: 1) Massive MIMO-Based Cell Free Cellular Networks. With the cell free model, interference could be converted into useful signal. Several BSs close to the users can form virtual cell and serve the cell edge users, thus eliminating the severe interference. 2) Densification of Massive MIMO-Based Cellular Networks. Based on the fact that the network rate performance of the cellular networks is scale invariant with reduced cell size, I try to find out if the interference of large scale dense cellular networks can be alleviated by the use of Massive MIMO. 3) To Achieve Massive MIMO with Much Less Antennas by Nested Placement. I propose an antenna placement scheme at base station based on 2-D nested array, and show that given the same number of antennas, the 2-D nested deployment method could achieve higher sum-rate capacity and better spectral efficiency.
BIOGRAPHY
Qilian Liang is a Distinguished University Professor at the
Department of Electrical Engineering, University of Texas at Arlington. He
received the B.S. degree from Wuhan University in 1993, M.S. degree from
Beijing University of Posts and Telecommunications in 1996, and Ph.D degree
from University of Southern California (USC) in May 2000, all in Electrical
Engineering. Prior to joining the faculty of the University of Texas at
Arlington in August 2002, he was a Member of Technical Staff in Hughes Network
Systems Inc at San Diego, California. His research interests include wireless
communications, artificial intelligence, radar sensor networks, wireless sensor
networks, smart grid, signal processing for communications, fuzzy logic systems
and applications, etc. Dr. Liang has published more than 300 journal and
conference papers, 7 book chapters, and has 6 U.S. patents pending. He received
2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, 2003 U.S.
Office of Naval Research (ONR) Young Investigator Award, 2005 UTA College of
Engineering Outstanding Young Faculty Award, 2007, 2009, 2010 U.S. Air Force
Summer Faculty Fellowship Program Award, 2012 UTA College of Engineering
Excellence in Research Award, 2013 UTA Outstanding Research Achievement Award,
and was inducted into UTA Academy of Distinguished Scholars in May 2015. Dr.
Liang is a Fellow of the IEEE.