Events for Friday, January 23, 2026

ExCom Meeting Date: Thursday, January 22, 2026 Time: 6:00 PM - 7:45 PM Location: Hybrid (On-campus and online) The online session will be started at 6:20 Toronto Metropolitan University, George Vari Engineering Building, 245 Church St, M5B 1Z4. Room ENG 460 Zoom Meeting ID: 980 7671 6029 Passcode: 057970 Agenda: 6:00 PM: Pizza & Refreshment • Pizza will be served. 6:20 PM: Call to Order & Officer Reports • Roll Call & Approval of meeting minutes from last ExCom meeting – Lian Zhao (5 minutes) • Welcome, introduction and Chair’s update – Lian Zhao (15 minutes) o Introduction of new officers and new volunteers o Keep your profile and Chapter volunteers up to date. o Finance, eNotice, awards reminders 6:40 PM: Vice Chair’s update – Amir Miragha (5 minutes) 6:45 PM: Treasure’s update – Julia Wagner (5 minutes) 6:50 PM: Emanuel Istrate, IEEE Canadian Foundation (10 minutes) 7:00 PM: Marc Lijour, Blockchain Technical Community (5 minutes) 7:05 PM: Jiupeng Zhang, Circuites & Device Chapter Update (5 minutes) 7:10 PM: Centennial College Student Branch Update, Networking Night (Jan. 16) - Serkan Ozkanli (5 minutes) 7:15 PM: TMU Student Branch Update: Academic Event (Jan. 29) - Gianluca Provenzano (5 minutes) 7:20 PM: University of Toronto Student Branch go over Upcoming Events Victoria Yeung and Ashley Leal (5 minutes) 7:25 PM: Undergraduate Student Research Awards information - Ajmery Sultana (5 minutes) 7:30 PM: Mohamed Youssef, Power Electronics/Consumer Electronics Chapter Update (5 minutes) 7:35 PM: CCECE2027 update (5 minutes) - Lian Zhao (5 minutes) 7:40 PM: Old/New Business & Wrap Up - 5 minutes 7:45 PM: Meeting Adjourn and Next Meeting - Proposed date: Thursday, May 28, 2026, from 6:00 PM – 7:30 PM Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/533152

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 St.George Campus. 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, Room: 202, Bldg: Galbraith Building, 35 St George St, Toronto, Toronto, Ontario, Canada