By sensing various life activities with microwave signals, portable radar with state-of-the-art front-end and measurement algorithms has great potential to improve healthcare, security, and human-machine interface. This presentation will first provide an overview of the state-of-the-art smart radar sensors powered by advanced digital/RF beamforming, multiple-input and multiple-output (MIMO), inverse synthetic-aperture radar (ISAR) technique, and deep learning. A few examples based on interferometry, Doppler, frequency-shift keying (FSK), and frequency-modulated continuous-wave (FMCW) modes at 5.8 GHz, 24 GHz, and 120 GHz will be discussed. In addition, the use of nonlinear technologies will be reported, with a focus on in-band third-order intermodulation measurement for enhanced target identification and parameter extraction. Case studies at this exciting human-microwave frontier will be presented on physiological signal sensing, non-contact human-computer interface, driving behavior recognition, human tracking, and studies in clinical environments. Finally, this talk will conclude with future industrial and academic R&D outlooks for microwave short-range life activities sensing. Speaker(s): Prof. Changzhi Li , Room: M-1510, Bldg: Pavillon Lassonde, M-1510, 2500 Chem. de Polytechnique, Montréal, Quebec, Canada, H3T 1J4

This talk will discuss several ongoing research activities on passive indoor sensing, passive radar beamforming, RF and baseband circuit techniques for portable radar, and UAV-based sensing network for the resiliency and sustainability of wind energy infrastructures. The goal is to uncover joint research interests and brainstorm for new research ideas. Speaker(s): Prof. Changzhi Li , Room: M-1510, Bldg: Pavillon Lassonde, M-1510, 2500 Chem. de Polytechnique, Montréal, Quebec, Canada, H3T 1J4

Please join us for this year IEEE Montréal Keynote Event: Novel Solutions for Microwave Sensors A broad range of different physical quantities can be determined by adopting electromagnetic techniques at microwave frequency: among them, an important class of sensors aims at the determination of the electric and magnetic characteristics of materials, for instance with the scope to establish the content of a certain element in liquids. Another class of sensors are devoted to the accurate determination of the linear or the angular displacement of a target. Depending on the intended application, the requested features of microwave sensors are typically the compact size, the low manufacturing cost, and the easy design and fabrication, as well as the good accuracy of the results.This talk will provide an overview of some recent achievements in the area of microwave sensors, for applications ranging from the characterization of the electrical properties of materials to the determination of rotation and proximity. The use of planar structures and SIW technology, the fabrication by additive manufacturing, as well as the adoption of hybrid solutions will be presented and discussed. Speaker(s): Professor Maurizio Bozzi Room: 6900, Bldg: INRS, Énergie Matériaux Télécommunications Research Centre, 800, De La Gauchetière W. (6th level), Montreal, Quebec, Canada, H5A 1K6

A round table discussion among student branch representatives from IEEE ETS, IEEE Colombia, and other IEEE Student branches in Montreal. The discussion session is to explore the recent trends in AI and its potential to help people in leadership positions. We will also be joined by the representatives from IEEE student branch of Universidad de la Sabana - Colombia, some in person and the rest online. Room: Third Floor Terrasse, Bldg: Pavilion D, Ecole de Technologie Superieure, 1219 William St, Montreal, Quebec, Canada, H3C1R1, Virtual: https://events.vtools.ieee.org/m/423773

The Montreal Chapter of Control Systems (CS) cordially invites you to attend the following in-person talk, given by Dr. Domenico Famularo, Associate Professor at the University of Calabria (Italy). Co-sponsored by: Concordia University Speaker(s): Dr. Domenico Famularo Room: EV 3.309, Bldg: EV Building, Concordia University, Montreal, Quebec, Canada, H3G 1M8