Networking Night 2026 is a technology-focused networking event designed to connect students, faculty, and industry professionals in a collaborative and welcoming environment. The event is specifically tailored for students in Artificial Intelligence, Software Engineering, Information Technology, Networking, Game Programming, and related technology programs. Held at Centennial College’s Progress Campus, Networking Night 2026 provides students with the opportunity to engage directly with industry representatives, learn about career paths, internships, and hiring expectations, and develop essential professional networking skills. Participants will have the chance to ask questions, exchange ideas, and gain insight into current industry trends and employer needs. The event also offers industry professionals and company representatives a platform to meet motivated students, share experiences, and build meaningful connections with emerging talent. Through open networking, discussions, and company showcases, Networking Night 2026 aims to bridge the gap between academic learning and industry practice. Whether you are preparing to enter the workforce, exploring future career options, or seeking to expand your professional network, Networking Night 2026 is an opportunity to build connections that extend beyond the classroom. Agenda: Coming Soon... Room: CCSAI Main Event Hall, Bldg: CCSAI Main Event Hall, 941 Progress Ave, Scarborough, Ontario, Canada, M1G 3T8

IEEE CAS Toronto is proud to invite you to a seminar by Prof. Bibhu Datta Sahoo of University of Buffalo. Join us Friday, 23 January 2026 at 4PM (ET) on University of Toronto. Refreshments will be served. Abstract: --------------------------------------------------------------- Quantum Computing, having the ability to exponentially enhance the raw computing power, and Artificial Intelligence (AI), having the ability to impart unprecedented intelligence to connected devices through algorithms that learn, are the two key technologies of the 21st century. Although novel devices can significantly advance the field of quantum computing, conventional CMOS based analog and mixed signal circuits can enable quantum computing using classical op amp based circuits. AI algorithms on the other hand are tolerant to errors in computation, thereby enabling approximate and low-precision computing which has resulted in the resurrection of more than half-a-century old analog computing. This talk would present various analog computing techniques that could enable AI algorithms or more specifically machine learning (ML) algorithms. The talk could also delve into mixed-sginal computing where it will dive into the details of in-memory computing as well as adoption of novel memory devices, viz., memristors, to enable energy efficient computing. The talk would also present some classical analog hardware for emulating quantum algorithms, like Grover’s search algorithm, for quantum computing systems. Speaker(s): Dr. Bibhu Datta Sahoo, Toronto, Ontario, Canada

IEEE EDS Toronto is proud to invite you to a seminar by Dr. Tan Cher Ming of Chang Gung University. Join us Monday, 26 January 2026 at 4PM (ET) on University of Toronto. Refreshments will be served. Abstract: --------------------------------------------------------------- Printed circuit boards (PCBs) are fundamental to all electronic systems, providing component integration, electrical interconnection, mechanical support, and thermal management. Despite their critical role, PCB reliability has historically received far less attention than that of electronic components, particularly active devices. This gap is partly due to the perception of PCBs as mature, supporting structures rather than primary reliability drivers. However, PCB technologies continue to evolve, especially for mission‑critical applications operating under high temperature, high humidity, or radiation‑intensive environments. In these conditions, PCB failure mechanisms can significantly influence overall system reliability, yet published studies remain limited. This talk will present key PCB failure mechanisms and highlight how PCB‑level degradation can propagate to system‑level failures, drawing on insights from my recent research. The goal is to encourage engineers to treat PCBs as integral elements of system reliability analysis, particularly in high‑reliability and safety‑critical applications. Speaker(s): Dr. Tan Cher Ming Room: 202, Bldg: Galbraith Building , 35 St George St, Toronto, Ontario, Canada, M5S 1A4