Title: "Advanced signal processing and VLSI implementation for wireless communication and biomedical applications"
Speaker: Prof. Daniel Massicotte, U. Québec, Canada (invited talk)
Location: "Shannon" Seminar Room, Place du Levant 3, Maxwell Building, 1st floor
Date / Time (duration): Monday 27/07/2015, 11h00 (~ 45')
Abstract: We present the research projects realized at the "Laboratoire des signaux et systems intégrés" du Groupe de recherche en électronique industrielle de l'Université du Québec à Trois-Rivières. This research laboratory develops advanced methods in signal processing and microsystems to target growing needs strategic areas such as telecommunications systems, biomedical, measurement and control.
The case of wireless communications of cellular networks and biomedical are examples where the proposition of integrated algorithms effective on a silicon transceiver becomes decisive in its deployment. It is, therefore, essential to provide solutions meet both requirements in signal processing and microsystems such as the complexity and computational precision in fixed-point, low power and area integration. We explore solutions based on modern methods such as evolutionary algorithms and metaheuristics, compressive sensing, fractal, wavelet transform (wavelet), neural networks and fuzzy logic to offer the best compromise algorithmic performance and low implementation complexity for DSP/FPGA/ASIC.
Speaker's biography: Daniel Massicotte (S’91–M’94–SM’08) received the B.Sc.A. and M.Sc.A. degrees in electrical engineering and industrial electronics in 1987 and 1990 respectively from the Université du Québec à Trois-Rivières (UQTR), Qc, Canada. He obtained the Ph.D. degree in electrical engineering in 1995 at the École Polytechnique de Montréal, Qc, Canada. In 1994, he joined the Department of Electrical and Computer Engineering, Université du Québec à Trois-Rivières, where he is currently a Full Professor. He is Founder of the Laboratory of Signal and Systems Integration. Since 2001, he has been Founding President and Chief Technology Officer of Axiocom Inc. He has been Head of the Industrial Electronic Research Group, since 2011 and Head of the Electrical and Computer Engineering Department, since 2014. He received the Douglas R. Colton Medal for Research Excellence awarded by the Canadian Microelectronics Corporation, the PMC-Sierra High Speed Networking and Communication Award and the Second place at the Complex Multimedia/Telecom IP Design Contest from Europractice in 1997, 1999 and 2000 respectively. His research interests include advanced VLSI implementation, digital signal processing for wireless communications, measurement, medical and control problems for linear and nonlinear systems. He has proposed many methods based on modern signal and biosignal processing such as neural networks, fuzzy logic, wavelet transform, and metaheuristics. He is the author or co-author of more than 130 technical papers in international conferences and journals, as well as author or co-author of 6 pending patents. He was also a Guest Editor of the Springer Analog Integrated Circuits and Signal Processing for the special issues of NEWCAS 2013. Dr. Massicotte is also member of the "Ordre des Ingénieurs du Québec", "Groupe de Recherche en Électronique Industrielle" (GREI), and "Microsystems Strategic Alliance of Quebec" (ReSMiQ).
Last updated July 24, 2015, at 11:50 AM