معرفی
Professor Howard Schwartz is a distinguished academic in Electrical and Computer Engineering at Carleton University, with a career spanning academia, industry, and robotics research. He earned his BEng in Civil Engineering from McGill University (1982), followed by MSc (1984) and PhD (1986) in Aerospace and Mechanical Engineering from MIT. His academic leadership includes serving as Department Chairman (2009-2013) and authoring the seminal text Multi-Agent Machine Learning: A Reinforcement Approach (Wiley, 2014). As an Associate Editor for IEEE Transactions on Cybernetics, he shapes discourse in cybernetic systems and machine learning.
Research Focus
Professor Schwartz's research bridges theoretical and applied domains:
- Machine learning for robotics and autonomous systems
- Adaptive control theory and multi-agent systems
- Reinforcement learning algorithms with fuzzy logic integration
- Real-time video analytics and GPS receiver development
- Nonlinear control systems for UAVs and wind energy optimization
Industry Experience
His career includes impactful industry engagements:
- Early development of high-performance GPS receivers at Canadian Marconi Co. (1982-1984)
- Sabbatical at March Networks (2001-2002) for video analytics
- Software quality control at CMC Electronics (2008)
- Software development for TV set-top boxes at Espial Inc. (2014-2015)
