Events

Events Search and Views Navigation

Event Views Navigation

Today

  • Navigating the Tech Transfer Process for Researchers

    Virtual: https://events.vtools.ieee.org/m/311734

    IEEE Canada Industry Relations together with the Toronto section present you the following talk. This session will be presented by Jim Banting, Assistant Vice-Principal (Partnerships and Innovation) at Queen’s University. Topics will include understanding your University's IP policy, writing an invention disclosure, working with the technology your transfer office, the importance of a 'title' check (checking to ensure IP rights were not given away in a research contract, for example), market and patentability assessment, drafting and filing a patent application, terms for licensing a technology from University to NewCo, sources of funding (dilutive/non-dilutive), and an overview of the innovation ecosystem (e.g. accelerators, incubators and other programs to support startup growth). Speaker(s): Jim Banting Register: https://events.vtools.ieee.org/m/311734 Biography: Jim Banting is the Assistant Vice-Principal (Partnerships and Innovation) at Queen's University. His career began as a co-founder of the Queen’s spin-off company named Vaxis Therapeutics. Vaxis was venture capital-funded, grown, and sold to a U.S. specialty pharmaceutical company.  A large portion of Jim's career has entailed a focus on partnerships, licensing, and M&, in the biotech sector in the United States.  He returned to Canada in 2014 to serve as President & CEO of PARTEQ Innovations, the commercialization unit for Queen's, which has since been incorporated into Queen’s University Partnerships and Innovation unit with the office of the VP Research. He holds Ph.D. and B.Sc.H. degrees from Queen's University.

  • MATLAB Deep learning Seminar

    Virtual: https://events.vtools.ieee.org/m/314598

    Join MathWorks and IEEE to learn Deep-Learning Seminar. Dr. Aycan Hacioglu (MathWorks) will demonstrate how to manage, automated labelling and augment large data sets. We will also show you how to leverage pre-trained models such as GoogLeNet, ResNet for transfer learning and more! Co-sponsored by: Vancouver Section Affinity Group,YP Virtual: https://events.vtools.ieee.org/m/314598

  • C# Development 101 (03 out of 06)

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/314671

    IEEE Toronto's Magnetic Chapter and WIE C# Development 101 continues. Speaker(s): Reza Dibaj Register: https://events.vtools.ieee.org/m/314671

  • Data Visualization using Tableau

    Virtual: https://events.vtools.ieee.org/m/315202

    Join the IEEE Toronto Magnetics Chapter and Women In Engineering for this two-hour data visualization workshop! Visualization is an indispensable part of today's data science, and Tableau is one of the most common tools for visualization. In a two-hour workshop technical presentation, we will quickly go through the fundamentals of Tableau visualization. Speaker(s): Dr. Reza Dibaj Virtual: https://events.vtools.ieee.org/m/315202

  • Python Development 101 (04 out of 06)

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/314667

    Python Development 101 continues with the IEEE Toronto Magnetics chapter and WIE. Speaker(s): Reza Dibaj Register: https://events.vtools.ieee.org/m/314667

  • C/ID: A Design Methodology for Implementing Nanoscale Analog FET Circuits.

    Virtual: https://events.vtools.ieee.org/m/314527

    Most of the existing circuit design methodologies are based on iterative methods, which are very time consuming and sometimes far from being optimal. The process of analog circuit design is generally so complex that most designers rely mainly on their own intuition to design and move toward an acceptable design point, which in many cases is based on a long process of trial-and-errors. There are two dominant circuit design methodologies used in academic institutions and industry: (1) Inversion-Coefficient (IC) method, and (2) Gm/IDS (GmID) approach. While IC method is more analytical, GmID require extensive device characterizations in order to create a comprehensive data-base describing device behavior in all modes of operations for different device sizes. Meanwhile, designers need to develop their own optimization scripts to search through all possible design points and select the best fit for their application, as these methodologies are not supported by the common EDA Tools. In this seminar, an improved design methodology will be introduced, which lies somewhere between the two approaches. Called C/IDS, the proposed design methodology requires prior knowledge on only few technology-dependent parameters, which are very easy to extract. Due to its analytical nature, this approach provides comprehensive design insight, while the flow of design can be automatized easily. Several examples will be provided to show effectiveness of the proposed algorithm for implementing energy and power efficient circuits. A set of data points demonstrating how performance of analog circuits evolve with technology scaling will be provided. Speaker(s): Armin Tajalli Register: https://events.vtools.ieee.org/m/314527 Biography:Armin Tajalli received his B.S. from Sharif University of Technology, Tehran, Iran, and the Ph.D. from Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was part of the initiating team and a Senior Analog Architect with Kandou Bus, Lausanne, Switzerland, where he is currently the lead of the R&D Department. Since December 2017, he has joined as an Assistant Professor to the University of Utah, Salt Lake City, USA. He has published more than 90 articles in peer reviewed journals and conferences and holds 40 patents. He has received several awards, including The Best Paper Award in DesignCon (2016), PhD Prime Award at EPFL, Switzerland (2010), and IEEE AMD/CICC Scholarship (2009). He is currently serving as a Technical Program Committee (TPC) Member in IEEE CICC and ESSCIRC, and an Associate Editor of the IEEE Transactions on VLSI Systems.

  • C# Development 101 (04 out of 06)

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/314672

    C# Development 101 continues with the Magnetics chapter and WIE. Speaker(s): Reza Dibaj Register: https://events.vtools.ieee.org/m/314672

  • Python Development 101 (05 out of 06)

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/314668

    Python Development 101 continues with the IEEE Toronto Magnetics chapter and WIE. Speaker(s): Reza Dibaj Register: https://events.vtools.ieee.org/m/314668

  • C# Development 101 (05 out of 06)

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/314673

    Join the IEEE Toronto Magnetics Chapter and Women in Engineering for a C# Development workshop. Speaker(s): Reza Dibaj Register: https://events.vtools.ieee.org/m/314673

  • Python Development 101 (06 out of 06)

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/314669

    Python Development 101 continues with the IEEE Toronto Magnetics chapter and WIE. Speaker(s): Reza Dibaj Register: https://events.vtools.ieee.org/m/314669

  • C# Development 101 (06 out of 06)

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/314674

    Join the IEEE Toronto Magnetics Chapter and Women in Engineering for a C# Development workshop. Speaker(s): Reza Dibaj Register: https://events.vtools.ieee.org/m/314674

  • Forum about the Metaverse – Hybrid Event

    Toronto, Canada

    The Metaverse is the latest futuristic technology trend capturing public attention, with young people looking at spending time in virtual environments, and even leading consumer brands buying places in the Metaverse. But what is the Metaverse, and where might it go? Join Yu Yuan, Steve Mann, and Monique Morrow to hear from leading experts about key questions such as how this technology is evolving, but also what socio-technical and ethical questions have to be addressed to ensure that these technologies positively contribute to enhancing life and augmenting human experiences. Register at: https://engagestandards.ieee.org/SASB-June-2022-Metaverse.html