IEEE Windsor Section

IEEE Young Professionals and Women in Engineering, Windsor Section jointly presents: “Applications of Data fusion techniques in Industrial Control” About the Topic: Performance assessment and condition monitoring are important steps toward optimisation design of control loops. To provide better understanding of a given scene or process with less uncertainties could be achieved using data fusion approaches. Information/data Fusion is the merging technology which deals with the synergistic combination of data made available by various knowledge sources such as sensors. The use of sensor/data fusion concept has advantages such as “Redundancy”, “Complementary”, “Timeliness” and “Less Costly Information” which will be addressed. Speaker: Dr. Behzad Moshiri, Adjunct Professor in Electrical Engineering at University of Waterloo Speaker Bio: Behzad Moshiri received his B.Sc. degree in mechanical engineering from Iran University of Science and Technology (IUST) in 1984 and M.Sc. and Ph.D. degrees in control systems engineering from the University of Manchester, Institute of Science and Technology (UMIST), U.K. in 1987 and 1991 respectively. Dr. Moshiri has been as adjunct professor in department of electrical and computer engineering at university of Waterloo since 2014. His fields of research include mechatronics, automation, advanced industrial control design, smart sensing system design, broad spread of applications of “sensor/data fusion” as well as “information fusion” concepts in mechatronics, process control, robotics, information technology, bioinformatics, biomedical engineering and intelligent transportation systems.

Abstract: Recently, we have witnessed the advances of convex optimization, including theoretical aspects (e.g., interior-point methods) and general-purpose software tools (e.g., SeDuMi). It has been recognized as an extremely useful technique in helping with addressing a wide range of signal processing problems, including those previously considered intractable. This talk aims to provide a tutorial of convex optimization techniques relevant to signal processing, which could be used to identify and formulate convex optimization problems arising in signal processing scenarios, and characterize the structure of optimal solutions to signal processing problems. The talk will also cover some successful signal processing applications to concretely demonstrate the effectiveness of convex optimization and its impact on signal processing.

LATEX Workshop IEEE University of Windsor Student Branch presenting: LATEX (pronounced “lay-tek” or “lah-tek”) is a free program for making scientific and technical documents, and is the standard for professionals in many STEM fields. Its purpose is to make it easy to write elegant technical documents. The topics in the workshops will range from introductory to advanced, and the sessions will include topics such as making problem sets, lab reports, and more. Read the complete post here