Email: shimon.schwartz@nrc.gc.ca
Short biography
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.
Supervisors
Alexander Wong, David A. Clausi
Research interests
My research interests are in the fields of image processing, machine learning and computer vision with an emphasis on Compressive Sensing for efficient signal acquisition.
Research topics
Research demos
Computer Vision for Autonomous Robots
Publications
Journal articles
Schwartz, S., A. Wong, and D. A. Clausi, "Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance", Journal of Visual Communication and Image Representation, vol. 31, pp. 26-40, May, 2015. Details
Schwartz, S., C. Liu, A. Wong, D. A. Clausi, P. Fieguth, and K. Bizheva, "Energy-guided learning approach to compressive FD-OCT", Optics Express, vol. 21, issue 1, pp. 329-344, 2013. Details
Schwartz, S., A. Wong, D. A. Clausi,, "Energy-guided learning approach to compressive FD-OCT", Journal of Visual Communication and Image Representation, vol. 24, no. 2, pp. 160-170, March, 2012. Details
Schwartz, S., A. Wong, and D. A. Clausi, "Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion", Optics Express, vol. 20, issue 16, pp. 17281–17296, July, 2012. Details
Conference papers
Schwartz, S., A. Wong, and D. A. Clausi, "Multi-scale saliency-guided compressive sensing approach to efficient robotic laser range measurements", 2012 Ninth Conference on Computer and Robot Vision (CRV), pp. 1-8, May, 2012.Details
Schwartz, S., A. Wong, and D. A. Clausi, "Saliency-guided compressive fluorescence microscopy", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology, , San Diego, USA., pp. 4365 - 4368 , 2012. Details
Theses
Schwartz, S., "Data-guided statistical sparse measurements modeling for compressive sensing", Department of Systems Engineering, Waterloo, ON, Canada, University of Waterloo, April, 2013. Details
