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Past Events

Industry Talks Webinar - November 18, 2022 from 11:00am - 12:00pm

CREATE SE4AI is pleased to present AI Adoption in Telecom Networks as part of our Industry Talks webinar series.

Did you know that revenue generated from AI automation in telecom networks is expected to reach USD 200 billion by 2027? What are some of the current challenges Ericsson, a global leader in ICT solutions faces as they adopt new technologies in AI and ML in their products and services, and how are they overcoming them?

In his presentation, Karthikeyan Premkumar, Data Scientist at Ericsson used case studies to highlight several touchpoints involving the ML model development process, tools, data quality, ML Ops (monitoring and retraining) and deployment as part of model industrialization.

About the Speaker

Karthik Premkumar has 18 years of experience in the telecom industry. His expertise lies in industrializing AI/ML solutions, designing system and solution architectures in BSS, Cloud and infrastructure platforms for telecom networks.

In his current role as Data Scientist at Ericsson in Montreal, QC, Karthik Premkumar designs knowledge models and machine reasoning technologies for cognitive networks. He has published over 10 patents and papers on telecom analytics.

Trainee Talks Webinar - November 4, 2022

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Topics: Dependency Management and Testing of AI-based Software Systems

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

CREATE SE4AI Retreat - June 3, 2022

Our 1st annual CREATE SE4AI Program Retreat is a wrap! It was an inspiring day of celebrating our collective accomplishments and exchanging ideas amongst an amazing team of students, professors and industry partners, live and in person at the Chateau Vaudreuil. The future is so bright for this group of talented trainees, they’re gonna need shades…

Guest Speaker Webinar - April 12, 2022

CREATE SE4AI trainees, profs and partners enjoyed a webinar presented by Olivier Blais, co-founder and VP of Decision Science at Moov AI in Montréal. Olivier spoke about "Delivering High Quality Machine Learning Models" including:

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  1. What it means to develop high quality artificial intelligence

  2. A better approach to ML model evaluation

  3. Existing and future certifications for AI systems

Bio: https://moov.ai/en/olivier-blais/

The webinar recording is available to view on our CREATE SE4AI YouTube channel

Guest Speaker Webinar - February 3, 2022

CREATE SE4AI hosted a webinar by Sumon Biswas, PhD Candidate at Iowa State University on "Understanding and Reasoning Fairness of Machine Learning Pipeline".

Link to presentation: https://www.youtube.com/channel/UCjCS6a_K301Ocg9z5Qd1GWA/videos

About the Speaker

sumon

Sumon Biswas is a Computer Science Ph.D. candidate at Iowa State University (ISU) and a Research Assistant in Laboratory for Software Design at ISU under the supervision of Professor Hridesh Rajan. His research interests are in the intersection of Software Engineering, Programming Languages, and Artificial Intelligence. He has worked on Machine Learning (ML) software repository mining and analysis in large-scale using the Boa framework. He worked on building Python language support for Boa to analyze ML programs and Jupyter Notebooks. Currently, he is working in the D4 (Dependable Data-Driven Discovery) initiative at ISU towards increasing the dependability of data-driven software. Specifically, he is conducting research on understanding the societal bias in ML models and reasoning about fairness property and its mitigation in ML pipelines. His research results appeared in reputed software engineering venues including ICSE and ESEC/FSE.

Homepage: https://sumonbis.github.io