معرفی
Mark Coates is a Professor in the Department of Electrical & Computer Engineering at McGill University, specializing in Machine Learning and Signal Processing. His research focuses on learning in networks, robust algorithms, and applications such as breast cancer detection, sensor networks, and communication systems. He holds a B.E. from the University of Adelaide and a Ph.D. from the University of Cambridge. His postdoctoral work at Rice University furthered his expertise in distributed systems and signal processing.
- Education:
- B.E. in Computer Systems, University of Adelaide, Australia (1995)
- Ph.D. in Engineering, University of Cambridge, UK (1999)
- Research Interests:
- Machine Learning and Bayesian Inference
- Particle Filtering and Sequential MCMC
- Graph Convolutional Neural Networks
- Microwave Breast Cancer Detection
- Distributed Estimation and Tracking
Coates leads a research group exploring cutting-edge technologies in signal processing and AI, with notable contributions to graph-based learning, particle flow algorithms, and healthcare applications. His work bridges theoretical foundations and practical implementations, including software tools for particle filtering and network analysis.
