Info Session: Big Data Science and Deep Learning: from academia to industry - March 23rd, 2018

Presented by University of Manitoba

Big data science and deep learning are two hot topics in both academia and industry. This free info session will present an introduction of the current state of big data science, computer vision, data mining and analytics, and deep learning: what problems can be solved by these technologies, and what are the possible difficulties of adopting these technologies in industry applications.

While targeted to anyone interested in data science and deep learning, this info session will be especially for industry practitioners who are interested in adopting these advanced technologies into their products and workflow.

Register Now

Location:   Main Floor, 435 Ellice Avenue, NRC Building
When:   Friday, March 23rd, 2018, 12:00pm - 1:15pm
Registration:   There is no cost but please register to attend.
More Information:   A light lunch will be available. or 204 944 0533
Presented by:   Dr. Carson Leung and Dr. Yang Wang, Faculty of Science, University of Manitoba


About the Speakers:

Dr. Yang Wang, Assistant Professor, Department of Computer Science, University of Manitoba: Yang Wang is currently an assistant professor at the Department of Computer Science, University of Manitoba. He received his PhD from Simon Fraser University, MSc from University of Alberta, and BEng from Harbin Institute of Technology. Before joining UManitoba, he worked as an NSERC postdoc fellow at the Department of Computer Science, University of Illinois at Urbana-Champaign. His research interests lie in computer vision and machine learning.

Dr. Carson Leung, Professor, Computer Science, University of Manitoba: Carson Leung is currently a Full Professor of Computer Science at the University of Manitoba. He obtained his BSc(Hons), MSc and PhD from the University of British Columbia. He has published more than 180 papers on the topics of data science, databases, data mining, big data computing, social network analysis, and visual analytics. Over the past few years, he has taken different roles in the Organizing Committees of several international conferences. For example, he has served as  a General Chair of IEEE CBDCom (Cloud and Big Data Computing) 2016 and IEEE SmartData 2018 conferences, and as a Program Chair of IEEE BigDataSE (Big Data Science and Engineering) 2016 and BigDAS (Big Data Applications and Services) 2017 conferences. He is a Senior Member of the ACM (Association for Computing Machinery) and IEEE (Institute of Electrical and Electronics Engineers).