Communications & Information Theory

Description of Activities:  Research is conducted in the areas of information theory, communication theory, stochastic networked control systems, multi-user communication networks, data compression, error-control coding, joint source-channel coding, team decision and game theory, applied probability, Bayesian methods, statistical pattern recognition, machine learning, time-series analysis and signal processing.

Full-Time Faculty Research Interests
Fady Alajaji Information theory, source-channel coding, data compression, digital communications, applied probability, network epidemics, machine learning, data privacy and AI fairness
Tam谩s Linder Information and communication theory, source-channel coding, vector quantization, statistical pattern recognition and machine learning
Glen Takahara

Communication networks, queuing systems, Bayesian methodology

Serdar Y眉ksel Stochastic control theory, stochastic dynamical systems, networked control, information theory, source coding and quantization

 

Affiliated Faculty Primary Affiliation Research Interests
Steven D. Blostein Dept. of Electrical and Computer Engineering, 成人大片 Wireless communications; smart antennas; signal processing; multi-user communications

 

Graduate Courses Offered:
Math 800 - Seminar
Math 806 - Introduction to Coding Theory
Math 834 - Optimization Theory and Applications
Math 872 - Control of Stochastic Systems
Math 874 - Information Theory
Math 877 - Data Compression and Source Coding
Stat 855 - Stochastic Processes and Applications
Stat 864 - Discrete Time Series Analysis

Application for Graduate Studies: Queen's provides an ideal environment to do graduate study in Mathematics and Engineering, Applied Mathematics or Mathematics or Statistics. Our course curriculum is rigorous and increasingly diverse. The applicants should follow the guidelines listed on our Application Information page. Typically students with backgrounds in mathematics, applied mathematics, electrical and computer engineering and systems engineering with strong interests in mathematical sciences will find the graduate program very stimulating and rewarding.

Our research environment is enhanced by a very active group of graduate students. There is always a steady stream of visiting scholars and post-doctoral fellows.