AI Week: July 15-19th

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.

Location: Big Data Hub Presentation Studio (Applied Science Building 10900)

Time: 9:30AM-10:30AM, Monday to Friday. Doors at 9:20AM.

July 15: What is Artificial Intelligence?

Diana Cukierman
Simon Fraser University

Diana Cukierman is a Senior Lecturer of Computing Science at Simon Fraser University and a Faculty of Applied Sciences Teaching Fellow. She earned an Engineer in Computing Systems degree at the University of the Republic of Uruguay and M.Sc. and Ph.D. degrees at SFU in Computing Science in the area of Artificial Intelligence. Cukierman has held teaching positions at the university level for more than 18 years, and has been awarded a SFU Faculty of Applied Sciences Teaching Excellence award. She is actively engaged in computing science education research, and is the co-developer and co-coordinator of the Academic Enhancement Program, a program that helps students succeed in their university studies by incorporating learning activities and reflection within their courses. Cukierman is passionate about teaching, learning and pedagogy. She searches to incorporate  a variety of tools and multidisciplinary concepts and theories in her courses, looking forward to motivating students in their studies.

July 16: Robotics

Lenka Pitonakova
A&K Robotics

Lenka is a Robotics Systems Developer at A&K Robotics, Vancouver. She has recently moved to Canada from the United Kingdom, where she lived for 12 years. Her country of origin is Slovakia. Lenka's background is in artificial intelligence, swarm robotics and general software and games development. She obtained her PhD in Swarm Behaviour Design from the University of Southampton, UK. She was then awarded a one year fellowship which she spent working with e-puck robots at the Bristol Robotics Laboratory. Shortly before moving to Canada, she worked for the University of Bristol as a Research Associate specializing in unsupervised learning. Lenka's track record includes creation of the Behaviour-Data-Relations modelling language for multi-agent systems and development of simulation software, games and libraries accompanying her research. She has also worked for a number of European companies on big data analysis, web and mobile applications.

July 17: Computational Biology

Sara Mostafavi
University of British Columbia

Sara Mostafavi is an Assistant Professor in the Departments of Statistics and Medical Genetics at the University of British Columbia (UBC), Vancouver, Canada. Her research interest focuses on developing and applying statistical and machine learning approaches to study the genetic basis of complex human traits.  Before joining UBC, Sara obtained her PhD in Computer Science at the University of Toronto in 2010 and conducted her postdoctoral fellowship at Stanford University. At UBC, Sara holds a Canada CIFAR Chair in Artificial Intelligence as well as a Canada Research Chair in Computational Biology.

July 18: Natural Language Processing

Angel Chang
Simon Fraser University & Facebook AI Research

Angel Chang is a visiting research scientist at Facebook AI Research, and an assistant professor at Simon Fraser University.  She received her PhD from Stanford University, where she was part of the NLP group and was advised by Chris Manning.  Her research focuses on the intersection of natural language understanding, computer graphics, and AI.  She is interested in connecting language to visual and 3D representations, and grounding language for embodied agents in indoor environments.  She has worked on synthesizing 3D scenes and shapes from natural language.  She is a recipient of the TUM-IAS Hans Fischer Fellowship and a Canada CIFAR AI Chair.

July 19: Computer Vision

Manolis Savva
Simon Fraser University & Facebook AI Research

Manolis Savva is an Assistant Professor at Simon Fraser University and a visiting researcher at Facebook AI Research. He received his Ph.D. from Stanford University, under the supervision of Pat Hanrahan, and was a postdoctoral research associate at the Princeton University Computer Graphics and 3D Vision Lab. His research focuses on analysis, organization, and generation of 3D content through a human-centric lens of “common sense” semantics. The methods that he works on are stepping stones towards a holistic form of 3D scene understanding revolving around people, with applications in computer graphics, computer vision, and robotics.