AI Week: July 9-17th

Are you an SFU undergraduate student interested in learning about artificial intelligence? Join us for a series of engaging talks from experts in the field! Students from all faculties and departments are invited to attend–no prior experience in AI is necessary.

*Please RSVP for each lecture separately using the links below.

July 9: What is Artificial Intelligence?

Prof. Angelica Lim, Simon Fraser University
Monday, July 9, 2018
9:45AM - 10:30AM
ASB 10900 (Big Data Hub)

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Angelica Lim is an Assistant Professor of Professional Practice in Computing Science at Simon Fraser University, who has worked on social robots for over 10 years in France, Japan and Canada. She leads the SFU ROSIE Lab, focusing on building robots with social intelligence and empathy, particularly using affective and developmental robotics paradigms. Previously, she spent 4 years as a Software Engineering Manager at SoftBank Robotics, where she led the emotion and expressivity team for Pepper the humanoid robot. She has been featured on the BBC, TEDx, hosted a TV documentary on robotics, and was recently featured in Forbes 20 Leading Women in AI. She received her B.Sc. in Computing Science (Artificial Intelligence Specialization) from SFU and a Ph.D. and Masters from Kyoto University, Japan.

July 10: Natural Language Processing

Prof. Alona Fyshe, University of Alberta
Tuesday, July 10, 2018
9:45AM - 10:30AM
ASB 10900 (Big Data Hub)

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Alona Fyshe is an Assistant Professor in the Computing Science Department at the University of Alberta and a CIFAR Global Scholar. Alona received her BSc and MSc in Computing Science from the University of Alberta, and a PhD in Machine Learning from Carnegie Mellon University. Alona uses machine learning to leverage large amounts of text and neuroimaging data to understand how people mentally combine words to create higher-order meaning. Alona is also interested in improving machine learning models by understanding the brain’s structure and function.

July 11: Computer Vision

Prof. Olga Russakovsky, Princeton University
Wednesday, July 11, 2018
9:45AM - 10:30AM
ASB 10900 (Big Data Hub)

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Dr. Olga Russakovsky is an Assistant Professor in the Computer Science Department at Princeton University. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She completed her PhD at Stanford University and her postdoctoral fellowship at Carnegie Mellon University. She was awarded the PAMI Everingham Prize in 2016 as one of the leaders of the ImageNet Large Scale Visual Recognition Challenge, the MIT Technology Review's 35-under-35 Innovator award in 2017 and was named one of Foreign Policy Magazine's 100 Leading Global Thinkers in 2015. In addition to her research, she co-founded and continues to serve as a board member of the AI4ALL foundation dedicated to increasing diversity and inclusion in AI. She co-founded the Stanford AI4ALL camp teaching AI to high school girls (formerly "SAILORS") and the Princeton AI4ALL camp teaching AI to underrepresented minority high school students.

July 12: Robotics

Olivia Norton, Sanctuary.ai
Thursday, July 12, 2018
9:45AM - 10:30AM
ASB 10900 (Big Data Hub)

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Olivia is a co-founder and Chief Technology Officer for Sanctuary AI where she leads the company's technical strategy and its execution. She is responsible for driving innovation through R&D activities, leveraging emerging technologies, and fostering academic and industry collaboration. Prior to founding Sanctuary, Olivia was the lead engineer for the Artificial General Intelligence group at Kindred AI. Her professional experience includes software consulting in the oil and gas industry, as well as research and development work in the field of biomedical imaging at the Institute for Bio-mechanics at ETH Zurich. Olivia holds a Master of Engineering in electrical and computer engineering from the University of British Columbia. She also holds a Bachelor of Science degree in computer engineering, specializing in biomedical engineering from the University of Calgary.  She is a 2018 BC Business 30 under 30 award recipient.

July 13: Bioinformatics

Prof. Leonid Chindelevitch, Simon Fraser University
Friday, July 13, 2018
9:00AM - 9:45AM
ASB 10900 (Big Data Hub)

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Dr. Leonid Chindelevitch's research interests lie primarily in the modeling of infectious diseases, both on the molecular level (using approaches from computational and systems biology) as well as on the population level (using approaches from epidemiology and biostatistics). He is particularly interested in the interactions between science, medicine and policy as they relate to improving patient outcomes, especially in low-income, low-resource settings. He holds a PhD in Applied Mathematics from MIT and a BSc in Mathematics and Computer Science from McGill University. His doctoral work focused on metabolic models of tuberculosis (TB). He has also worked as a computational biologist at Pfizer, developing methods for interpreting gene expression, genetic and metabolomic data using a large network of known biological relationships. He also spent some time working at the Massachusetts General Hospital and the Clinton Health Access Initiative.

July 17: Ethics in AI

Shalaleh Rismani, Generation R Consulting
Tuesday, July 17, 2018
11:00AM - 12:00PM
TASC1 9204

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Shalaleh Rismani is the executive member of Open Roboethics Institute and the Chief Innovation Officer at Generation R Consulting (www.genr.ca), a boutique consulting firm that provides ethics assessment of automated systems such as predictive decision making tools. Shalaleh completed a Masters of Applied Science in Biomedical Engineering at UBC and specializes in understanding the role of technology with society by investigating networks of human activity. She has been involved in wide range of design projects including design of surgical instrument for low-resource environments to development of a user interface for shared control of a power wheelchair. She has a vested interest in engineering education and the performing arts. Her diverse experiences allow her to effectively think through multi-faceted ethical and social challenges that come with incorporation of artificial intelligence and robotic systems within the work place and at home.