Our monthly CREATE SE4AI Trainee Talks webinar series kicked off with 2 graduate Software Engineering students presenting their research.
In the first of our series of trainee-led webinars, we invited 2 graduate students to deliver their research topics to the broader public.
Ahmed Haj Yahmed, a Master's student at Polytechnique Montréal presented DiverGet: a Search-based Software Testing Approach for Deep Neural Network Quantization Assessment. Immediately following, Concordia University PhD candidate Jasmine Latendresse presented her work on software production dependencies which she recently delivered at the IEEE/ACM 2022 Conference on Automated Software Engineering (ASE '22) in Michigan.
The webinar recording is available to view on our CREATE SE4AI YouTube channel.