January 16th, 2018: Commercializing University Research - The Rise of Robot Doctors? - STARTUPS & SHAWARMA EDITION!
Presenter: Dr. Farnoud Kazemzadeh, Co-founder and CEO, Elucid Labs
Farnoud is the co-founder and CEO of Elucid Labs, a medical technology company that harnesses the power of artificial intelligence and computational imaging for various applications in medicine. Elucid Labs’ primary product is AIDA, an augmented intelligence imaging solution for early detection and diagnosis of skin cancer. Elucid Labs, which was founded in Dec 2016, was named by CIX as one of Canada's top 20 most innovative companies.
Farnoud received his B.Sc. in astronomy and astrophysics from the University of Waterloo, he then went on to do his M.Sc. in space sciences at the International Space University in France. He then pursued his M.A.Sc. and Ph.D. degrees in optical engineering from the University of Waterloo. He is also an Adjunct Professor in the Department of Systems Design Engineering at the University of Waterloo.
November 22nd, 2017: Augmented Reality Tech for the Beauty Industry - TECH & TACOS EDITION!
Presenter: Dr. Alex Levinshtein, Director of Computer Vision, ModiFace
ModiFace is the leading provider of Augmented Reality technology for the beauty industry. ModiFace's patented technology, which is based on more than a decade of advanced facial recognition research at Stanford University and the University of Toronto, includes live 3D makeup simulation, live anti-aging/skin-care simulation, and hair style and color simulation.
In this talk, Alex will focus on live hair color augmentation on mobile devices which is one of ModiFace’s technologies.
October 10th, 2017: Intellectual Property (IP) Seminar - PATENTS & PIZZA!
IP essentials followed by best IP strategies in computer vision, machine learning and artificial intelligence
This seminar will cover the following topics:
- Overview of IP rights as they pertain to technology (patents, trade secrets)
- Protection strategies
- Considerations for software IP
- Analysis of patentability of machine learning technologies across various applications (i.e. manufacturing, image processing, natural language processing, neural network configurations)