I completed my Ph.D. in Systems Design Engineering in 2013 at University of Waterloo. I served as an adjunct Professor at the Department of Systems Design Engineering, University of Waterloo, Ontario, Canada.
I hold a BSc. in Electrical & Computer Engineering from Ben-Gurion University in Israel as well as a MBA from Technion Institute in Israel. I am a member of Professional Engineeros Ontario (PEO), Institute of Electrical and Electronic Engineers (IEEE) and Ontario Association of Certified Engineering Technicians and Technologists (OACETT). I have more the 20 years of industrial R&D experience in the areas of analog and digital systems, telecom, data and wireless communication, VLSI chip design, digital mapping systems, video surveillance, automotive electronics, mass production engineering and more. I served as a Director of Research and Development at several companies in the past 20 years.
Currently I am working for the National Research Council – Industrial Research Assistance Program (NRC-IRAP). NRC-IRAP is Canada’s premier innovation assistance program for small and medium-sized enterprises (SMEs). (https://nrc.canada.ca/en)
I help Canadian companies to improve their innovation capability by providing advice on technology, the innovation process, business strategy and market opportunities.
Email: shimon.schwartz@nrc.gc.ca
Computer Vision
Stochastic Models
Computer Vision for Autonomous Robots
Schwartz S., Wong A., and Clausi D.A, "Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance", Journal of Visual Communication and Image Representation, vol. 31, pp. 26-40, 2015. Get it here. Schwartz S., Liu C., Wong A., Clausi D.A., Fieguth P., and Bizheva K, "Energy-guided learning approach to compressive FD-OCT", Optics Express, vol. 21, pp. 329-344, 2013. Get it here. Schwartz S., Wong A., and Clausi D.A, "Saliency-guided compressive sensing approach to efficient laser range measurement", Journal of Visual Communication and Image Representation, vol. 24, pp. 160-170, 2013. Get it here. Schwartz S., Wong A., and Clausi D.A, "Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion", Optics Express, vol. 20, pp. 17281-17296, 2012. Get it here. Lu D., Schwartz S., Xu L., Shafiee M.J., Vinson N.G., Czarnecki K.J., and Wong A, "Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction", Expert Systems with Applications, vol. 127, . Get it here.
Conference PapersSchwartz S., Wong A., and Clausi D.A, "Saliency-guided compressive fluorescence microscopy", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2012. Get it here. Schwartz S., Wong A., and Clausi D.A, "Multi-scale saliency-guided compressive sensing approach to efficient robotic laser range measurements", Proceedings of the 2012 9th Conference on Computer and Robot Vision, CRV 2012, 2012. Get it here.