Friday May 12, 2017 the School of Engineering Technology and Applied Science and the Centennial Energy Institute invite you to our 2017 E3 Symposium: The Future is Smart: The Transformation of Canadian Manufacturing. This event will bring together advanced manufacturing innovators from across a number of sectors in the economy. The event will feature industry titans sharing best practices. Day & Time: Friday May 12, 2017 8:00 am to 8:45 am – Registration and Breakfast. 9:00 am to 4:00 pm – Speakers & Sessions. Location: Centennial College: Progress Campus Library Building Auditorium 941 Progress Avenue, Toronto, Ontario Event Page: http://www.centennialcollege.ca/programs-courses/schools/school-of-engineering-technology-and-applied-science/e3-symposium/ Contact: Maryam Davoudpour
Women in Engineering
Events
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Friday May 26, 2017 at 1:30 p.m. Dr. Sergio A. A. Freitas, Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB), Brazil, will be presenting “Designing a Gamification Course for an Higher Education Audience”. Day & Time: Friday May 26, 2017 1:30 p.m. – 3:30 p.m Speaker: Dr. Sergio A. A. Freitas Associate Professor in the Gama Engineering College (FGA) Director of the Distance Education Center University of Brasilia (UnB), Brazil Location: Ryerson University George Vari Centre for Computing and Engineering Room: ENG 288 245 Church Street Toronto, Ontario M5B 2K3 Contact: Dr. Maryam Davoudpour Organizers: IEEE Toronto (WIE, Measurement/Instrumentation-Robotics, Magnetics chapters), Computer Science Department of Ryerson University Abstract: The gamification of activities in classrooms has become of great interest in higher education. Today’s students have a lot of experience in virtual environments and games, and researchers who have tested/used gamification in their classrooms have reported an increase in student engagement and retention. This course presents a four step process to create a gamified course: Identifying the students’ profile (step 1) and the gamification object (step 2), creating the gamification project (step 3), and finally, implementing the gamification project (step 4). At the end of the workshop it is expected that the participant will be able to design a basic gamified course. Biography: Dr. Sergio A. A. Freitas is currently an Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB), Brazil. He is also the coordinator of research in the FGA Software Factory Laboratory. His current research projects focus on interdisciplinary studies and applications of learning methodologies on engineering undergraduate courses, and software engineering methodologies. Prof. Freitas areas of expertise include gamification, PBL, virtual learning environments in education and training, and software engineering methodologies. Dr. Freitas has coauthored journal publications, conference articles and book chapters in the aforementioned topics, and has coordinated and participated on many projects from various funding agencies CNPq, FAP-ES, FAP-DF, Cebraspe, and Brazilian Federal Ministries. |
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Wednesday May 31, 2017 at 6:00 p.m. hear about the work of Dr. Sanja Fidler, Assistant Professor in Machine Learning and Computer Vision, University of Toronto and Dr. Inmar Givoni, Director of Machine Learning at Kindred Systems Inc., as part of “Women in Robotics: Building Smart Robots with AI”. Day & Time: Wednesday May 31, 2017 6:00 p.m. – 9:00 p.m. Speakers: Dr. Sanja Fidler, Assistant Professor, Department of Computer Science, University of Toronto Dr. Inmar Givoni, Director, Machine Learning, Kindred Systems Inc. Location: To be Announced Organizers: IEEE Toronto Engineering in Medicine and Biology Society (EBMS), IEEE Women in Engineering, Society of Women Engineers Toronto RVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/240003715/ Agenda: 6:00 pm – Networking 6:30 pm – Welcome 6:40 pm – Speakers 7:30 pm – Panel Discussion – Women in Robotics 8:00 pm – Networking 9:00 pm – Close Get Your Bot On!, its partners Society of Women Engineers Toronto, IEEE Toronto Engineering in Medicine and Biology Society (EBMS) and IEEE Women in Engineering are pleased to bring you the ‘Women in Robotics Speaker Series’. This series celebrates the work of women in the field of robotics and provides a forum for them to share their work and career with the community. We invite all community members to come and learn, participate in the discussion, and celebrate the contribution of women to this field. Biography: Dr. Sanja Fidler, Assistant Professor, Department of Computer Science, University of Toronto Dr. Sanja Fidler is an Assistant Professor at the Department of Computer Science, University of Toronto. She is the recipient of the Amazon Academic Research Award (2017) and the NVIDIA Pioneer of AI Award (2016). Previously she was a Research Assistant Professor at TTI-Chicago a philanthropically endowed academic institute located in the campus of the University of Chicago. She completed her PhD in computer science at University of Ljubljana in 2010, and was a postdoctoral fellow at University of Toronto during 2011-2012. In 2010 she visited UC Berkeley. She has served as a Program Chair of the 3DV conference, and as an Area Chair of CVPR, EMNLP, ICCV, ICLR, and NIPS. Together with Rich Zemel and Raquel Urtasun, she received the NVIDIA Pioneer of AI award. Her main research interests are object detection, 3D scene understanding, and the intersection of language and vision. You can find Dr. Fidler on the web at http://www.cs.toronto.edu/~fidler/ Dr. Inmar Givoni, Director, Machine Learning, Kindred Systems Inc. Dr. Inmar Givoni is the Director of Machine Learning at Kindred, where her team develops algorithms for machine intelligence, at the intersection of robotics and AI. Prior to that, she was the VP of Big Data at Kobo, where she led her team in applying machine learning and big data techniques to drive e-commerce, customer satisfaction, CRM, and personalization in the e-pubs and e-readers business. She first joined Kobo in 2013 as a senior research scientist working on content analysis, website optimization, and reading modelling among other things. Prior to that, Inmar was a member of technical staff at Altera (now Intel) where she worked on optimization algorithms for cutting-edge programmable logic devices. Inmar received her PhD (Computer Science) in 2011 from the University of Toronto, specializing in machine learning, and was a visiting scholar at the University of Cambridge. During her graduate studies, she worked at Microsoft Research, applying machine learning approaches for e-commerce optimization for Bing, and for pose-estimation in the Kinect gaming system. She holds a BSc in computer science and computational biology from the Hebrew University in Jerusalem. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning, computer vision, and computational biology. She is a regular speaker at big data, analytics, and machine learning events, and is particularly interested in outreach activities for young women, encouraging them to choose technical career paths. You can find Dr. Givoni on the web at http://www.inmarg.net/ |
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