Reverse EXPO
Reverse EXPO brings together academia and industry to promote recent research from Computing Science and the Alberta Machine Intelligence Institute at the University of Alberta.
When: September 6, 2024
Where: Telus International Centre (TEL) - Telus Atrium 11104 87 Avenue Northwest Edmonton, AB T6G 2R3
About
Reverse EXPO is an annual meeting organized by the Department of Computing Science at the University of Alberta, bringing together academia and industry to promote collaboration and disseminate the latest research on CS and AI in Edmonton.
This year, the event will consist of a poster session where graduate students and postdoctoral fellows involved in computing science research across Campus Alberta (in CS, ECE, or other departments)will present their work.
We invite our community and industry partners to participate and network with our students, alumni, and faculty.
FAQ
Is Reverse EXPO a recruiting event?
While the EXPO is primarily a technical event for industry to learn about the world-class research in Computing and AI at the University of Alberta, employers are welcome to recruit students for internships and/or full-time positions during the event.
I wasn’t able to get a ticket, now what?
Please contact the organizers and make a case. We reserve a small number of tickets for emergencies.
I'm a graduate student in a discipline other than CS. How can I participate in this event?
Yes, we will accommodate as many students as possible. The only requirement is that your research must be related to CS/AI.
I'm an undergraduate student engaged in research. How can I participate?
If you are working with a CS faculty, just ask them to send an email to the organizers. If you are doing CS/AI research on your own, please email the organizers to pitch your project.
I'm still in high school. Is the EXPO for me?
Probably not. The EXPO is meant for students who have already completed an undergraduate program to discuss cutting-edge research in CS and AI.
Who do I contact if I have questions or concerns?
Omid Ardakanian, Associate Professor, Department of Computing Science, oardakan@ualberta.ca