Ravi Mazumdar

Ravi Mazumdar has been a Professor and research chair in the Department of Electrical and Computer Engineering at the University of Waterloo since 2004.
He was elected Fellow of the IEEE for contributions to modeling, control, and performance analysis of networks, and is also a Fellow of the Royal Statistical Society. He is a recipient of the Best Paper Award for the IEEE INFOCOM 2006 and was a Finalist for the Best Paper at INFOCOM 1998. Since 2012 he is a J. D. Gandhi Distinguished Visiting Professor at the Indian Institute of Technology, Bombay. He is a Senior Editor of the IEEE Journal of Selected Areas in Communications.
Professor Mazumdar’s research interests include applied probability and stochastic analysis focusing on applications in complex networks, network science, randomized algorithms, and wireless systems.

• High-speed Networks, Wireline and Wireless Networks, Network modeling and control, Performance Evaluation, Applied Probability and Queueing Theory, Statistical signal processing, Stochastic analysis, Mathematical finance, Teletraffic Theory, Communication Systems, Information Systems, Big data/analytics, Cloud technology, Wireless communications/networking, Applied probability, Modelling, Traffic, optimization and pricing issues in high-speed networks, Multi-resolution methods for statistical signal processing, Financial mathematics, Stochastic control and filtering, Learning and adaptive control of complex systems, Applications of game theory in networks, Connectivity and Internet of Things, Cybersecurity, Infrastructure integrity, IoT, Communications and A

Networking, applied probability, and stochastic analysis

Consultant, France Telecom, France (1994-96), (2004-2007) Member of Technical Staff, AT & T Bell Labs, Holmdel, NJ, USA (1983) Engineer, GEC Electrical Projects Ltd, UK (!978)

• 1983, Doctorate PhD with major in Control Theory, Minors in Communication Systems and Applied Mathematics, University of California, Los Angeles (UCLA), USA
• 1978, Master's MSc, DIC in Control Systems, Imperial College f Science, Technology, and Medicine, London, United Kingdom
• 1977, Bachelor's B. Tech in Electrical Engineering, Indian Institute of Technology. Bombay, India

• 0000 Fellow of the IEEE
• 0000 Fellow of the Royal Statistical Society
• 0000
• 0000 INFOCOM 2006, Barcelona
• Best Papper Award
• 0000 INFOCOM 1998, San Francisco
• Runner-up, Best Paper Award

• ECE 603 - Statistical Signal Processing
  • Taught in 2020
• ECE 604 - Stochastic Processes
  • Taught in 2019, 2021
• ECE 605 - Queueing Systems
  • Taught in 2018
• ECE 610 - Broadband Communication Networks
  • Taught in 2019, 2020, 2022
• ECE 682 - Multivariable Control Systems
  • Taught in 2022
• ECE 686 - Filtering and Control of Stochastic Linear Systems
  • Taught in 2023
• ECE 784 - Introduction to Stochastic Calculus
  • Taught in 2019
• STAT 902 - Theory of Probability 2
  • Taught in 2019

* Only courses taught in the past 5 years are displayed.

• Engineering prof honoured for contributions to AI