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Field Branch : Communication and Information System
Research Fields: Wireless Communication, Multimedia Communication
Major Curricula: Applied Stochastic Process, Modern Signal Processing, Digital Communication, Theory of Information and coding.
Elective Curricula: Advanced RF Circuit Design, Modern Communication
Technology, Wireless Sensor Networks, Video Processing theory and
Applications, Optimization Methods for Information Science.
Applied Stochastic Process
This course is one on basic stochastic processes, that is, models for
systems that evolve unpredictably in time. Various applications in many
fields include economics, finance, physics, climatology,
telecommunication, and biology etc. We will emphasize its application in
telecommunications. Main topics are introduction to stochastic
processes and several common stochastic processes, analysis of a
stochastic process through a linear time-invariant (LTI) system, Poisson
process and Markov chain.
Text Book: Richard Durrett: Essentials of Stochastic Processes, Second Edition, Spriger, 2012.
Modern Signal Processing
This course will cover the theory and applications of statistical and
adaptive signal processing. Topics include linear and matrix algebra for
signal description, random signals, signal modeling, power spectral
estimation, adaptive filtering, beamforming and adaptive arrays,
statistical array processing. This course should be of interest to
electrical and computer engineers specializing in Communications, signal
processing and the information sciences.
Text book: D. Manolakis, V. Ingle and S. Kogon, Statistical and adaptive signal processing, Artech House, 2005
Digital Communication
This course will give students deep knowledge in modern digital
communication systems at the theoretical and practical level. The course
will introduce the most advanced standards and outline the future of
digital wireless communication systems and networks. The course will
focus on modern digital wireless communication systems including the
cellular concept, the mobile radio environment, the signals generation,
the modulation and processing. The course will supply students with
essential skills to work in the communication industry and especially in
mobile communication networks.
Text book: John G. Proakis, Masoud Salehi. Digital Communications, McGraw-Hill Higher Education, 2008.
Theory of Information and coding
This course will provide an introductory look into the broad areas of
information theory and coding theory. The theoretical concepts are
illustrated using practical examples related to the effective storage
and transmission of digital and analog data. Recent developments in the
field of source coding and channel coding are also discussed. The course
is addressed to engineering students, which have some background in
computer science, general mathematics and elementary probability theory.
Text book: Thomas M. Cover and Joy A. Thomas, Elements of Information Theory, Second Edition, Wiley & Sons, 2006.
Advanced RF Circuit Design
This course is designed to provide graduate students with the principles
of radio frequency (RF) circuit design. It concentrates on such topics
as fundamental concepts of transmission line theory, Smith Chart,
two-port network and S-parameters, high frequency circuit behavior,
designing tuning and matching networks, designing filter networks,
mixers, LNA and various RF power amplifiers, and power flow
considerations for analog systems as encountered in cell phones, base
stations, transceivers (Bluetooth), and wireless LAN (WLAN) equipment.
Software: Students are encouraged to use ADS for all circuit simulations and demo projects.
Textbook: R. Ludwig, G. Bogdanov, RF Circuit Design: Theory and
Practice, 2nd edition, Prentice Hall, 2008, ISBN-13: 9780131471375.
Modern Communication Technology
This course is intended as an introductory course for Postgraduate
Students in the areas of Communications and Signal Processing. The
course will introduce basic theory on matrix computation and nonlinear
optimization. The course will then cover important techniques such as
Wireless Communications and Diversity, Wireless Channel Modeling, code
division for multiple access (CDMA), orthogonal frequency division
multiplexing (OFDM), Multiple input multiple output (MIMO).
Text book: Theodore S. Rappaport, Wireless Communications: Principles and Practice Second Edition. Prentice Hall.
Wireless Sensor Networks
This course will cover the theory and applications of the Internet of
things. Topics include Medium Access Control in RFID, Anti-Collision
Algorithm in RFID, RFID Security, RFID Deployment: Supply Chain Case
Study, Geographic Routing in Wireless Sensor Networks, Medium Access
Control in Wireless Sensor Networks, Localization in Wireless Sensor
Networks, Data Aggregation in Wireless Sensor Networks, Clustering in
Wireless Sensor Networks, Energy-Efficient Sensing in Wireless Sensor
Networks, Mobility in Wireless Sensor Networks, Security in Wireless
Sensor Networks, Integrated RFID and Sensor Networks: Architectures and
Applications, Integrated RFID and Sensor Networks for Smart Homes,
Integrated RFID and Sensor Networks for Health Care, Integrated RFID and
Sensor Networks for Structure Monitoring. This course should be of
interest to electrical and computer engineers specializing in
Communications, Computer Science and the information sciences.
Text book: Yan Zhang, Laurence T. Yang, and Jiming Chen.Rfid and Sensor
networks-Architectures,Protocols, Security,and Integrations,CRC
Press,Taylor & Francis Group.2011
Video Processing theory and Applications
Video processing has been one of the hottest research subjects in modern
computer vision areas, and its applications cover across a wide
spectrum of sectors including video surveillance, robot navigation,
missile guidance, medical diagnosis and human-machine interface, etc.
The goal of this graduate-level course is to share the video processing
techniques to the graduate students through introducing the most
commonly used theories such as Kalman filtering, particle filtering,
Mean-shift, Camshift, neural networks, etc. Upon completion of this
course, the students are expected to understand the working mechanism,
applicability as well as limitations in algorithms concerned. The
discussions will also be made on the most current academic progresses,
and the technology and potential of 3-D video processing will be a
focus.
Text book: The lecturing and reading materials will be arranged by the instructor
Optimization Methods for Information Science
This course will cover the fundamental algorithms as well as more
specialized and advanced topics for unconstrained and constrained
problems. Topics include tabu search algorithm and simulated annealing
algorithm, genetic algorithm, ant colony optimization algorithm,
artificial neural network algorithm and Lagrange relaxation algorithm
and other modern optimization theory, model and application technology
and application. The course contains computational exercises in the form
of case studies which help understanding optimization methods beyond
their theoretical description when coming to actual implementation.
Text book: by Joseph-Frédéric Bonnans, Jean Charles Gilbert , Claude
Lemarechal , Numerical Optimization: Theoretical and Practical Aspects,
2006.