Integration, Interaction, and Symbiosis between Wireless Sensor Networks, Digital Ledger Technologies, and Distributed Systems
Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8The Montreal Chapters of the IEEE Control Systems (CS) and Systems, Man & Cybernetics (SMC) cordially invite you to attend the following in-person talk, to be given by Dr. Jesús Rodríguez Molina from the Technical University of Madrid. Co-sponsored by: Concordia University Speaker(s): Dr. Jesús Rodríguez Molina Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8
Indium phosphide membrane photonic integrated circuits
1650 Boulevard Lionel-Boulet, Varennes, Quebec, Canada, J3X 1P7Abstract: Indium phosphide photonic integration platforms offer a wide range of passive components, but excel in their optoelectrical functionality. The indium-phosphide-membrane-on-silicon (IMOS) platform bargains this functionality, but combines it with high-index-contrast nanophotonic circuits. Recent demonstrations have highlighted devices with competitive performance metrics, including ultrafast photodiodes, best-in-class thermos-optic phase modulators, multi-pass SOAs, and widely-tunable lasers. Applications of the IMOS devices show high potential in optical wireless, optical cross-connects and sensing applications. Speaker(s): Sander Reniers 1650 Boulevard Lionel-Boulet, Varennes, Quebec, Canada, J3X 1P7
Particle monitoring and classification based on optical scattering and imaging analysis
Room: Room 1302, Bldg: Building A, 1100 Notre-Dame St W, Montréal, Quebec, Canada, H3C 1K3Abstract: Real-time detection, classification, and identification of aerosol particles are crucial in various industries and public health areas. To overcome the limitations of existing particle analysis methods, we investigated three categories of industrial-oriented techniques for both statistical monitoring and fingerprint detection. The first technique is based on optical scattering, which correlates particle information with scattered intensity. By employing polarization characterization and multi-angle measurement, we have sufficiently classified different particle types at the single-species level. Additionally, to achieve high-throughput particle characterization, we developed imaging platforms for particle detection. Utilizing polarization imaging and deep learning algorithms, we achieved a classification accuracy of ~95%. Finally, we demonstrated a compact digital in-line holographic microscopy platform with an inertial spectrometer for simultaneous measurement of two independent fingerprint parameters at the single-species level. Specifically, by interrogating the particle location and size captured with the platform, particle mass density can be estimated. Furthermore, by employing Monte Carlo fitting to the Lorenz-Mie theory, the refractive index of each particle can be extracted from the interference patterns. The combination of mass density and optical density characterization unambiguously enhances the discriminatory power of the system, especially when dealing with particles that exhibit similar mass densities but distinctive refractive indices or vice versa. [] Co-sponsored by: Co-sponsored by National Research Council, Canada. Optonique. ETS Optica Student Chapter. Speaker(s): Jingwen Li, Agenda: - - Introduction from the host (2 to 5 minutes) - Presentation (40 to 45 minutes) - Questions from the audience (5 to 10 minutes) - Lunch and networking Room: Room 1302, Bldg: Building A, 1100 Notre-Dame St W, Montréal, Quebec, Canada, H3C 1K3
Careers in Technology Summer Series 2024 – TBD
Virtual: https://events.vtools.ieee.org/m/423707TBD - CIT Summer Series Session 5 Speaker(s): Careers in Tech Speaker ***CANCELED*** Virtual: https://events.vtools.ieee.org/m/423707
Community Conscious Smart School Bus System
Virtual: https://events.vtools.ieee.org/m/426235The recent Infrastructure Investment and Jobs Act (IIJA) reaffirms the decarbonizing of the transportation sector in the United States. This bill will ensure the penetration of EVs in all sectors by increasing charging station accessibility and removing barriers to further EV adoption nationwide. This mandates to investigation of all transportation sectors for EV adoption and remove the barriers. School buses are one of the largest bus networks in the USA. These buses are widely run on fossil fuels and require the execution of a variety of steps before their electrification. Before these e-school buses can be deployed at the mass level, we need to understand the energy needs and influence their fleet composition. The energy need requires a thorough understanding of each school district for their road loads (number of bus stops, trip duration, electric range, and grade profile). Typically, we see 4 types of school buses on the road these days, however, the 4 types will not be sustainable options for their electric variants, unless the whole design space is investigated for optimal sizes. Unlike diesel variants, battery holds the primary cost in the EV, oversizing it will have a significant financial impact on the school districts. Besides the road loads, the other major subsystems consuming the school bus’s energy resources are the body and dash heating and cooling loads. The bus body climate control load on the battery can impact its range and performance. These loads can impact the bus range by 50+%. This means that in winter, the same e-school bus will travel 50% fewer miles. Speaker(s): Athar Virtual: https://events.vtools.ieee.org/m/426235