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Awareness to Action: Integrating Equity, Inclusion, and Accessibility in Research

Join us for a 2-part workshop series “Awareness to Action: Integrating Equity, Inclusion and Accessibility in Research” on May 9th and 16th at 10:00AM EDT. Through open and interactive discussions, we will explore equity concepts and principles and provide tools to help foster a research environment that is both enriching and accessible to diverse perspectives.

Awareness to Action: Integrating Equity, Inclusion, and Accessibility in Research

May 9th and 16th from 10:00 am to 11:30 am EDT

Join via Zoom: https://concordia-ca.zoom.us/j/81002128613?pwd=djMxeDlMV3FhWUNBbnpEWlJGcDZ6Zz09

Meeting ID: 810 0212 8613

Passcode: 088220

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CAN-CWIC Conference in Toronto October 20-21, 2023

4 CREATE students attended the annual Canadian Women in Computing Conference in Toronto. This annual conference provides career-oriented workshops, student lightning talks and networking opportunities with other women students of STEM.

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CREATE SE4AI Program Retreat - June 9, 2024s

Our 3rd annual CREATE SE4AI Program Retreat was held in Kingston, ON on June 9th. 50 students from the 4 partner institutions enjoyed an afternoon of networking, brainstorming, group discussions and research presentations with an inspiring view of the waterfront. A big thank you to all who attended and congratulations to the graduates!

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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…

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CREATE SE4AI Trainee Talks Summer 2024 Edition

In this special summer edition of Trainee Talks on Friday, July 19th, 2024, we heard from 2 talented CREATE trainees.

University of Alberta Master's candidate Afiya Fahmida Sarah shared her insights on “Improving API Documentation Quality Through Identifying Missing Code Examples.” Following Afiya's presentation, Polytechnique Montréal PhD candidate Patrick Loic Foalem presented his research on “Studying Logging Practice in Machine Learning-based Applications.”

The Trainee Talks Summer 2024 Edition recording is available to view on our CREATE SE4AI YouTube channel.

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FM + SE School in Mexico City November 16-17, 2023

Professors Hassan, Khomh and Adams hosted a 2-day conference in Mexico City on Foundational Models and Software Engineering. The conference was co-sponsored by CREATE SE4AI and several program trainees attended.

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Future of AI Networking Event

CREATE SE4AI has partnered with the Montréal chapter of Women in AI & Robotics and Concordia's Applied AI Institute to host a speaker and networking event on the Future of AI on Thursday Nov. 30th.

Join us for a deep dive into the future of AI, Sustainability, the Societal Impact of Technology and Innovative Discoveries. The event will be followed by a networking session and an enjoyable opportunity for socializing over refreshments and finger foods. Our very own Riya Dutta will be one of the speakers. You won't want to miss this!

To secure your spot, please register in advance on the Eventbrite page. This event is free and open to the public so please feel free to share it with your networks.

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GEMinAI Mentoring Program Launch October 19, 2023

The Gender Equity Mentoring in AI (GEMinAI) program was launched on Oct. 19, 2023 as a joint initiative between CREATE SE4AI and Concordia’s Applied AI Institute. GEMinAI supports Concordia women+ students who engage with AI by matching them to an industry mentor for advice and assistance along their career journey. The first GEMinAI cohort runs from October 2023 to May 2024.

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GEMinAI Program Storytelling Wrap-up Event - May 24, 2024

GEMinAI_24May2024IMG_3071 IMG_3070

The Gender Equity Mentoring in AI (GEMinAI) Program celebrated the end of a successful first year on May 24th. Mentors and mentees from the program's inaugural cohort gathered at 4th Space at Concordia to share stories of their mentoring journey. Jasbir Kooner, MBA (Concordia) and Director, IT and Cybersecurity at Englobe was one of the 13 industry mentors who participated in GEMinAI. Jasbir shared her experience with the group:

"Thank you to CREATE SE4AI and the Applied AI Institute for creating this incredible program that empowers women and gender non-conforming undergrads and grads who are passionate about AI. Mentoring these past few months has been an amazing experience, and honestly, I've learned just as much from my mentee as she probably learned from me. Programs like these are making sure that the right tools and foundation are there for these participants, so they know they are not alone and can step into the world feeling much more empowered."

Applications for both mentors and mentees will be accepted over the summer and the next cohort will run from October 2024 to May 2025. For more information on how you can get involved, please contact Lori Akiyama at lori.akiyama@concordia.ca.

The video is now available 4TH SPACE Concordia University.

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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:

olivier

  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.

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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

sumonSumon 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

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Industry Talks Webinar - April 25, 2023

CREATE SE4AI is pleased to present Patrick Mesana, Consultant at National Bank of Canada and PhD Candidate at HEC, who spoke on Balancing Data Valorization and Privacy: Industry Challenges and Opportunities.

In his talk, Patrick delved into the distinct characteristics of data as a digital asset and examined the challenges of striking a balance between data valorization and privacy. Emphasizing the importance of data management in large organizations, such as financial institutions, he addressed the emerging challenges posed by privacy laws and the rapid growth of AI. Through a discussion of evolving practices like privacy-by-design, advances in privacy engineering, and innovative privacy technologies such as data synthesis, he offered valuable insights for navigating the intricate future of data privacy within organizations. Furthermore, he brought to light potential future disruptors, such as open banking in Canada, particularly relevant to the finance sector.

About the Speaker:

Patrick Mesana began his career as a software engineer, gaining experience with consulting companies and startups before transitioning into the field of Data Science. As a former manager in the Data Office of National Bank of Canada (NBC), Patrick encountered numerous data management challenges. He is currently pursuing a PhD in decision science to explore the tradeoffs between data privacy and data value. In addition, Patrick serves as a researcher and scientific lead on these topics for the AI Factory at NBC.

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

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Industry Talks Webinar - February 10, 2023

Deploying Effective Machine Learning Models in Production: Two Use Cases

Dr. Gabor Melli, VP of Engineering, AI/ML at San Francisco-based Medable joined us for our first industry talk webinar of 2023! Gabor Melli is a seasoned professional with a proven track record of leading teams and driving positive change within organizations. His background includes implementing evidence-based solutions and facilitating change at large enterprises such as Sony PlayStation, Microsoft, AT&T, T-Mobile, and Wal*Mart, as well as at start-ups including Datasage, Meals.com, VigLink, OpenGov.com, and Medable.com. Gabor has also presented his research at various applied AI research conferences, including AAAI, KDD, LREC, and ICDM.

Abstract

Predictive machine learning has the ability to automate and optimize workflows across a wide range of industries. In this session, we will explore real-life examples of how predictive machine learning is being used at Sony Interactive Entertainment (SIE) and Medable. At SIE, we will delve into their scalable, real-time, low-latency predictive ML-based solutions that are implemented on the cloud in order to personalize purchasing and playing experiences. Medable, on the other hand, has implemented an automated, decentralized clinical trials platform on the cloud in order to greatly improve efficiency and accuracy. Throughout this session, we will also discuss the role of machine learning engineering and the exciting opportunities that lie ahead in this field. Overall, this session aims to provide a comprehensive overview of the various applications and potential of predictive machine learning.

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

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Industry Talks Webinar - November 18, 2022

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.

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

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Trainee Talks Webinar - April 29, 2024

We hosted our Trainee Talks webinar on Monday, April 29th, 2024. During the session, we had the privilege of hearing from Amanda Kolopanis, a Software Engineering Master's student at Concordia University, and Jaskirat Singh, a Software Engineering Master's student at Queen's University.

Amanda's talk focused on “Decoding Bias: Exploring Sexism in Software Development through Online Narratives and AI Analysis”.

Jaskirat's presentation was titled “Empirical Evaluation of Edge AI Deployment Strategies Involving Black-Box and White-Box Operators”.

The video is now available to view on our CREATE SE4AI YouTube channel

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Trainee Talks Webinar - March 25, 2024

We hosted our Trainee Talks webinar on Monday, March 25th, 2024. It was a great session where we had the opportunity to hear from talented individuals.

Queen’s University Master's student Harsh Patel shared his insights on “Post Deployment Recycling of Machine Learning Models: Don’t Throw Away Your Old Models!”. Following Harsh's presentation, Queen’s University PhD student Fangjian Lei presented his research on “Studying the Evolution Patterns of Self-admitted Technical Debts in Software Systems”.

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

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Trainee Talks Webinar - April 3rd, 2023

The Spring Trainee Talks webinar was a huge success and we were pleased to have 27 participants join!

In this webinar, 2 PhD students from Polytechnique Montréal under Prof. Foutse Khomh delivered their research topics. Vahid Majdinasab spoke on his topic of Mutation Testing of Deep Reinforcement Learning Based on Real Faults, followed by Forough Majidi, who shared her Empirical Study on the Usage of Automated Machine Learning Tools. A 10 min Q&A session followed after each presentation.

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

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Trainee Talks Webinar - December 13, 2022

Trainee Talks is a monthly webinar series featuring CREATE SE4AI trainees sharing their research topics in software engineering and AI.   

This time, Queen's University Master's student Ernesto Lang Oreamuno joined us and spoke about Documentation Practices of Third-Party Models and Datasets.

Immediately following, Rached Bouchoucha, École Polytechnique Master's student presented his work on de-bugging Deep Reinforcement Learning (DLR) Frameworks.

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

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Trainee Talks Webinar - February 27, 2024

Our first Trainee Talks of 2024 was held on Tuesday, February 27th. We welcomed Queen's University Master's student Akshat Malik, who presented his work on Empirical Evaluation of Graph-Anonymized Metrics for JIT Defect Prediction. Immediately following, Concordia University Master's student Sharon Ho delivered a talk on the Impacts of Text-to-Image Generative AI on Creative Professionals: Insights from Japan. Both talks were insightful and engaging, generating lots of discussion.

The video is now available to view on our CREATE SE4AI YouTube channel

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Trainee Talks Webinar - February 27, 2023

In the first Trainee Talks webinar of 2023, Pierre-Olivier Côté, a Master's student at Polytechnique Montréal spoke about Quality Issues in Machine Learning Software Systems. Immediately following, University of Alberta PhD student Akalanka Galappaththi presented his work on “A Data Set of Generalizable Python Code Change Patterns”.

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

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Trainee Talks Webinar - May 28, 2024

In the May 28, 2024 edition edition of CREATE SE4AI Trainee Talks, we heard from Queen's University Master's students Jiawen Liu and Shenyu Zheng. Jiawen shared her work on “Understanding Open-Source Contributor Profiles in Popular Machine Learning Libraries.” Immediately following, Shenyu delivered his talk on “The Performance and Hermeticity of Artifact-based Build Technologies.”

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

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Trainee Talks Webinar - November 4, 2022

**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.

- + \ No newline at end of file diff --git a/blog/2022/09/21/past/event/Trainee_Talks_Webinar_September25_2023/index.html b/blog/2022/09/21/past/event/Trainee_Talks_Webinar_September25_2023/index.html index 5ebe3c019..bcb7b7966 100644 --- a/blog/2022/09/21/past/event/Trainee_Talks_Webinar_September25_2023/index.html +++ b/blog/2022/09/21/past/event/Trainee_Talks_Webinar_September25_2023/index.html @@ -6,13 +6,13 @@ Trainee Talks Webinar - September 25, 2023 | CREATE SE4AI - +

Trainee Talks Webinar - September 25, 2023

Our CREATE SE4AI community came together on September 25th, 2023 for the first Trainee Talks of the fall semester. We heard Queen's Master's candidate Divya Kamath present her thesis research on Pragmatic Approaches to Schedule Less Builds in Continuous Integration. Then, Mohayeminul Islam, PhD student from University of Alberta shared his work on Characterizing Python Library Migrations.

The video is now available to view on our CREATE SE4AI YouTube channel.

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Women in Engineering (WIE) - March 18, 2023

On March 18th , CREATE SE4AI took part in WIE Inspire WIE Empower, an annual event hosted by the Women in Engineering (WIE) student association at the Gina Cody School of Engineering and Computer Science at Concordia University. Through their various outreach and mentorship activities, WIE encourages young women to explore engineering and computer science as career options.

This year, WIE welcomed over 80 high school girls aged 12-17 to Concordia for an exciting day of inspiration and exploration. After a welcome address by Dr. Gina Cody, students participated in 4 hands-on, industry-led workshops. CREATE SE4AI trainees and Master’s students Divya Kamath (Queen’s University), Lorena Barreto (Concordia University) and Khaled Badran (Concordia University), along with Program Coordinator Lori Akiyama developed and delivered a fun, interactive workshop on AI and Chatbots to 4 groups of students. The goals of the workshop were to:

  1. Introduce the basic concepts of AI and chatbots to the students
  2. Encourage the students to develop confidence interacting with technology
  3. Stimulate a discussion of ethics of AI in society through a group reflection exercise

At the end of the workshop, the students shared their experiences interacting with chatbots and reflected on the importance of creating responsible and ethical AI.

CREATE was proud to contribute to this important initiative, and we look forward to more opportunities to engage with youth and inspire them to learn more about software engineering and AI in the future.

wie1wie2wie3
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Archive

Archive

2022

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CREATE SE4AI Trainee Talks Summer 2024 Edition

In this special summer edition of Trainee Talks on Friday, July 19th, 2024, we heard from 2 talented CREATE trainees. Read More

CREATE SE4AI Program Retreat - June 9, 2024

Our 3rd annual CREATE SE4AI Program Retreat was held in Kingston, ON on June 9th. 50 students from the 4 partner institutions enjoyed an afternoon of networking, brainstorming, group discussions and research presentations with an inspiring view of the waterfront. A big thank you to all who attended and congratulations to the graduates! Read More

Awareness to Action: Integrating Equity, Inclusion, and Accessibility in Research

Join us for a 2-part workshop series “Awareness to Action: Integrating Equity, Inclusion and Accessibility in Research” on May 9th and 16th at 10:00AM EDT. Through open and interactive discussions, we will explore equity concepts and principles and provide tools tools to help foster a research environment that is both enriching and accessible to diverse perspectives. Read More

Trainee Talks Webinar - May 28, 2024

In the May 28, 2024 edition of CREATE SE4AI Trainee Talks, we heard from Queen's University Master's students Jiawen Liu and Shenyu Zheng. Jiawen shared her work on “Understanding Open-Source Contributor Profiles in Popular Machine Learning Libraries.” Read More

GEMinAI Program Storytelling Wrap-up Event - May 24, 2024

GEMinAI_24May2024
The Gender Equity Mentoring in AI (GEMinAI) Program celebrated the end of a successful first year on May 24th. Mentors and mentees from the program's inaugural cohort gathered at 4th Space at Concordia to share stories of their mentoring journey. Jasbir Kooner, MBA (Concordia) and Director, IT and Cybersecurity at Englobe was one of the 13 industry mentors who participated in GEMinAI. Read More

Trainee Talks Webinar - April 29, 2024

Trainee Talks April 29
We hosted our Trainee Talks webinar on Monday, April 29th, 2024. During the session, we had the privilege of hearing from Amanda Kolopanis, a Software Engineering Master's student at Concordia University, and Jaskirat Singh, a Software Engineering Master's student at Queen's University. Read More

Trainee Talks Webinar - March 25, 2024

We hosted our Trainee Talks webinar on Monday, March 25th, 2024. It was a great session where we had the opportunity to hear from talented individuals. Read More

Trainee Talks Webinar - February 27, 2024

Our first Trainee Talks of 2024 was held on Tuesday, February 27th. We welcomed Queen's University Master's student Akshat Malik, who presented his work on Empirical Evaluation of Graph-Anonymized Metrics for JIT Defect Prediction. Read More

Future of AI Networking Event

CREATE SE4AI has partnered with the Montréal chapter of Women in AI & Robotics and Concordia's Applied AI Institute to host a speaker and networking event on the Future of AI on Thursday Nov. 30th. Read More

FM + SE School in Mexico City November 16-17, 2023 ​

Professors Hassan, Khomh and Adams hosted a 2-day conference in Mexico City on Foundational Models and Software Engineering. Read More

CAN-CWIC Conference in Toronto October 20-21, 2023

CAN_CWIC
4 CREATE students attended the annual Canadian Women in Computing Conference in Toronto. This annual conference provides career-oriented workshops. Read More

GEMinAI Mentoring Program Launch October 19, 2023

The Gender Equity Mentoring in AI (GEMinAI) program was launched on Oct. 19, 2023 as a joint initiative between CREATE SE4AI and Concordia’s Applied AI Institute. Read More

Trainee Talks Webinar - September 25, 2023

Trainee Talks Webinar - September 25, 2023
Our CREATE SE4AI community came together on September 25th, 2023 for the first Trainee Talks of the fall semester. We heard Queen's Master's candidate Divya Kamath present her thesis research on Pragmatic Approaches to Schedule Less Builds in Continuous Integration. Then, Mohayeminul Islam, PhD student from University of Alberta shared his work on Characterizing Python Library Migrations. Read More

Industry Talks Webinar - April 25, 2023

CREATE SE4AI is pleased to present Patrick Mesana, Consultant at National Bank of Canada and PhD Candidate at HEC, who spoke on Balancing Data Valorization and Privacy: Industry Challenges and Opportunities. Read More

Trainee Talks Webinar - April 3rd, 2023

Trainee Talks Webinar - April 3rd, 2023
The Spring Trainee Talks webinar was a huge success and we were pleased to have 27 participants join!. Read More

Women in Engineering (WIE) - March 18, 2023

wie1
On March 18th , CREATE SE4AI took part in WIE Inspire WIE Empower, an annual event hosted by the Women in Engineering (WIE) student association at the Gina Cody School of Engineering and Computer Science at Concordia University. Read More

Trainee Talks Webinar - February 27, 2023

February 27, 2023
In the first Trainee Talks webinar of 2023, Pierre-Olivier Côté, a Master's student at Polytechnique Montréal spoke about Quality Issues in Machine Learning Software Systems. Immediately following, University of Alberta PhD student Akalanka Galappaththi presented his work. Read More

Industry Talks Webinar - February 10, 2023

February 10, 2023
Dr. Gabor Melli, VP of Engineering, AI/ML at San Francisco-based Medable joined us for our first industry talk webinar of 2023! Gabor Melli is a seasoned professional with a proven track record of leading teams and driving positive change. Read More

Trainee Talks Webinar - December 13, 2022

trainee_talk_2
Trainee Talks is a monthly webinar series featuring CREATE SE4AI trainees sharing their research topics in software engineering and AI. Read More

Industry Talks Webinar - November 18, 2022

telecom2
CREATE SE4AI is pleased to present AI Adoption in Telecom Networks as part of our Industry Talks webinar series. Read More

Trainee Talks Webinar - November 4, 2022

trainee_talk_1
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. Read More

CREATE SE4AI Retreat - June 3, 2022

retreat
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. Read More

Guest Speaker Webinar - April 12, 2022

olivier
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". Read More

Guest Speaker Webinar - February 3, 2022

sumon
CREATE SE4AI hosted a webinar by Sumon Biswas, PhD Candidate at Iowa State University on "Understanding and Reasoning Fairness of Machine Learning Pipeline". Read More
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The Spring Trainee Talks webinar was a huge success and we were pleased to have 27 participants join!

In this webinar, 2 PhD students from Polytechnique Montréal under Prof. Foutse Khomh delivered their research topics. Vahid Majdinasab spoke on his topic of Mutation Testing of Deep Reinforcement Learning Based on Real Faults, followed by Forough Majidi, who shared her Empirical Study on the Usage of Automated Machine Learning Tools. A 10 min Q&A session followed after each presentation.

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

Trainee Talks is a monthly webinar series featuring CREATE SE4AI trainees sharing their research topics in software engineering and AI.   

This time, Queen's University Master's student Ernesto Lang Oreamuno joined us and spoke about Documentation Practices of Third-Party Models and Datasets.

Immediately following, Rached Bouchoucha, École Polytechnique Master's student presented his work on de-bugging Deep Reinforcement Learning (DLR) Frameworks.

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

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Our first Trainee Talks of 2024 was held on Tuesday, February 27th. We welcomed Queen's University Master's student Akshat Malik, who presented his work on Empirical Evaluation of Graph-Anonymized Metrics for JIT Defect Prediction. Immediately following, Concordia University Master's student Sharon Ho delivered a talk on the Impacts of Text-to-Image Generative AI on Creative Professionals: Insights from Japan. Both talks were insightful and engaging, generating lots of discussion.

The video is now available to view on our CREATE SE4AI YouTube channel

In the first Trainee Talks webinar of 2023, Pierre-Olivier Côté, a Master's student at Polytechnique Montréal spoke about Quality Issues in Machine Learning Software Systems. Immediately following, University of Alberta PhD student Akalanka Galappaththi presented his work on “A Data Set of Generalizable Python Code Change Patterns”.

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

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In the May 28, 2024 edition edition of CREATE SE4AI Trainee Talks, we heard from Queen's University Master's students Jiawen Liu and Shenyu Zheng. Jiawen shared her work on “Understanding Open-Source Contributor Profiles in Popular Machine Learning Libraries.” Immediately following, Shenyu delivered his talk on “The Performance and Hermeticity of Artifact-based Build Technologies.”

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

**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.

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Our CREATE SE4AI community came together on September 25th, 2023 for the first Trainee Talks of the fall semester. We heard Queen's Master's candidate Divya Kamath present her thesis research on Pragmatic Approaches to Schedule Less Builds in Continuous Integration. Then, Mohayeminul Islam, PhD student from University of Alberta shared his work on Characterizing Python Library Migrations.

The video is now available to view on our CREATE SE4AI YouTube channel.

On March 18th , CREATE SE4AI took part in WIE Inspire WIE Empower, an annual event hosted by the Women in Engineering (WIE) student association at the Gina Cody School of Engineering and Computer Science at Concordia University. Through their various outreach and mentorship activities, WIE encourages young women to explore engineering and computer science as career options.

This year, WIE welcomed over 80 high school girls aged 12-17 to Concordia for an exciting day of inspiration and exploration. After a welcome address by Dr. Gina Cody, students participated in 4 hands-on, industry-led workshops. CREATE SE4AI trainees and Master’s students Divya Kamath (Queen’s University), Lorena Barreto (Concordia University) and Khaled Badran (Concordia University), along with Program Coordinator Lori Akiyama developed and delivered a fun, interactive workshop on AI and Chatbots to 4 groups of students. The goals of the workshop were to:

  1. Introduce the basic concepts of AI and chatbots to the students
  2. Encourage the students to develop confidence interacting with technology
  3. Stimulate a discussion of ethics of AI in society through a group reflection exercise

At the end of the workshop, the students shared their experiences interacting with chatbots and reflected on the importance of creating responsible and ethical AI.

CREATE was proud to contribute to this important initiative, and we look forward to more opportunities to engage with youth and inspire them to learn more about software engineering and AI in the future.

wie1wie2wie3
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Join us for a 2-part workshop series “Awareness to Action: Integrating Equity, Inclusion and Accessibility in Research” on May 9th and 16th at 10:00AM EDT. Through open and interactive discussions, we will explore equity concepts and principles and provide tools to help foster a research environment that is both enriching and accessible to diverse perspectives.

Awareness to Action: Integrating Equity, Inclusion, and Accessibility in Research

May 9th and 16th from 10:00 am to 11:30 am EDT

Join via Zoom: https://concordia-ca.zoom.us/j/81002128613?pwd=djMxeDlMV3FhWUNBbnpEWlJGcDZ6Zz09

Meeting ID: 810 0212 8613

Passcode: 088220

4 CREATE students attended the annual Canadian Women in Computing Conference in Toronto. This annual conference provides career-oriented workshops, student lightning talks and networking opportunities with other women students of STEM.

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Our 3rd annual CREATE SE4AI Program Retreat was held in Kingston, ON on June 9th. 50 students from the 4 partner institutions enjoyed an afternoon of networking, brainstorming, group discussions and research presentations with an inspiring view of the waterfront. A big thank you to all who attended and congratulations to the graduates!

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…

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In this special summer edition of Trainee Talks on Friday, July 19th, 2024, we heard from 2 talented CREATE trainees.

University of Alberta Master's candidate Afiya Fahmida Sarah shared her insights on “Improving API Documentation Quality Through Identifying Missing Code Examples.” Following Afiya's presentation, Polytechnique Montréal PhD candidate Patrick Loic Foalem presented his research on “Studying Logging Practice in Machine Learning-based Applications.”

The Trainee Talks Summer 2024 Edition recording is available to view on our CREATE SE4AI YouTube channel.

Professors Hassan, Khomh and Adams hosted a 2-day conference in Mexico City on Foundational Models and Software Engineering. The conference was co-sponsored by CREATE SE4AI and several program trainees attended.

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CREATE SE4AI has partnered with the Montréal chapter of Women in AI & Robotics and Concordia's Applied AI Institute to host a speaker and networking event on the Future of AI on Thursday Nov. 30th.

Join us for a deep dive into the future of AI, Sustainability, the Societal Impact of Technology and Innovative Discoveries. The event will be followed by a networking session and an enjoyable opportunity for socializing over refreshments and finger foods. Our very own Riya Dutta will be one of the speakers. You won't want to miss this!

To secure your spot, please register in advance on the Eventbrite page. This event is free and open to the public so please feel free to share it with your networks.

The Gender Equity Mentoring in AI (GEMinAI) program was launched on Oct. 19, 2023 as a joint initiative between CREATE SE4AI and Concordia’s Applied AI Institute. GEMinAI supports Concordia women+ students who engage with AI by matching them to an industry mentor for advice and assistance along their career journey. The first GEMinAI cohort runs from October 2023 to May 2024.

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GEMinAI_24May2024IMG_3071 IMG_3070

The Gender Equity Mentoring in AI (GEMinAI) Program celebrated the end of a successful first year on May 24th. Mentors and mentees from the program's inaugural cohort gathered at 4th Space at Concordia to share stories of their mentoring journey. Jasbir Kooner, MBA (Concordia) and Director, IT and Cybersecurity at Englobe was one of the 13 industry mentors who participated in GEMinAI. Jasbir shared her experience with the group:

"Thank you to CREATE SE4AI and the Applied AI Institute for creating this incredible program that empowers women and gender non-conforming undergrads and grads who are passionate about AI. Mentoring these past few months has been an amazing experience, and honestly, I've learned just as much from my mentee as she probably learned from me. Programs like these are making sure that the right tools and foundation are there for these participants, so they know they are not alone and can step into the world feeling much more empowered."

Applications for both mentors and mentees will be accepted over the summer and the next cohort will run from October 2024 to May 2025. For more information on how you can get involved, please contact Lori Akiyama at lori.akiyama@concordia.ca.

The video is now available 4TH SPACE Concordia University.

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:

olivier

  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.

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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

sumonSumon 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

CREATE SE4AI is pleased to present Patrick Mesana, Consultant at National Bank of Canada and PhD Candidate at HEC, who spoke on Balancing Data Valorization and Privacy: Industry Challenges and Opportunities.

In his talk, Patrick delved into the distinct characteristics of data as a digital asset and examined the challenges of striking a balance between data valorization and privacy. Emphasizing the importance of data management in large organizations, such as financial institutions, he addressed the emerging challenges posed by privacy laws and the rapid growth of AI. Through a discussion of evolving practices like privacy-by-design, advances in privacy engineering, and innovative privacy technologies such as data synthesis, he offered valuable insights for navigating the intricate future of data privacy within organizations. Furthermore, he brought to light potential future disruptors, such as open banking in Canada, particularly relevant to the finance sector.

About the Speaker:

Patrick Mesana began his career as a software engineer, gaining experience with consulting companies and startups before transitioning into the field of Data Science. As a former manager in the Data Office of National Bank of Canada (NBC), Patrick encountered numerous data management challenges. He is currently pursuing a PhD in decision science to explore the tradeoffs between data privacy and data value. In addition, Patrick serves as a researcher and scientific lead on these topics for the AI Factory at NBC.

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

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Deploying Effective Machine Learning Models in Production: Two Use Cases

Dr. Gabor Melli, VP of Engineering, AI/ML at San Francisco-based Medable joined us for our first industry talk webinar of 2023! Gabor Melli is a seasoned professional with a proven track record of leading teams and driving positive change within organizations. His background includes implementing evidence-based solutions and facilitating change at large enterprises such as Sony PlayStation, Microsoft, AT&T, T-Mobile, and Wal*Mart, as well as at start-ups including Datasage, Meals.com, VigLink, OpenGov.com, and Medable.com. Gabor has also presented his research at various applied AI research conferences, including AAAI, KDD, LREC, and ICDM.

Abstract

Predictive machine learning has the ability to automate and optimize workflows across a wide range of industries. In this session, we will explore real-life examples of how predictive machine learning is being used at Sony Interactive Entertainment (SIE) and Medable. At SIE, we will delve into their scalable, real-time, low-latency predictive ML-based solutions that are implemented on the cloud in order to personalize purchasing and playing experiences. Medable, on the other hand, has implemented an automated, decentralized clinical trials platform on the cloud in order to greatly improve efficiency and accuracy. Throughout this session, we will also discuss the role of machine learning engineering and the exciting opportunities that lie ahead in this field. Overall, this session aims to provide a comprehensive overview of the various applications and potential of predictive machine learning.

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

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.

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

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We hosted our Trainee Talks webinar on Monday, April 29th, 2024. During the session, we had the privilege of hearing from Amanda Kolopanis, a Software Engineering Master's student at Concordia University, and Jaskirat Singh, a Software Engineering Master's student at Queen's University.

Amanda's talk focused on “Decoding Bias: Exploring Sexism in Software Development through Online Narratives and AI Analysis”.

Jaskirat's presentation was titled “Empirical Evaluation of Edge AI Deployment Strategies Involving Black-Box and White-Box Operators”.

The video is now available to view on our CREATE SE4AI YouTube channel

We hosted our Trainee Talks webinar on Monday, March 25th, 2024. It was a great session where we had the opportunity to hear from talented individuals.

Queen’s University Master's student Harsh Patel shared his insights on “Post Deployment Recycling of Machine Learning Models: Don’t Throw Away Your Old Models!”. Following Harsh's presentation, Queen’s University PhD student Fangjian Lei presented his research on “Studying the Evolution Patterns of Self-admitted Technical Debts in Software Systems”.

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

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Past Events

CREATE SE4AI Trainee Talks Summer 2024 Edition

In this special summer edition of Trainee Talks on Friday, July 19th, 2024, we heard from 2 talented CREATE trainees. Read More

CREATE SE4AI Program Retreat - June 9, 2024

Our 3rd annual CREATE SE4AI Program Retreat was held in Kingston, ON on June 9th. 50 students from the 4 partner institutions enjoyed an afternoon of networking, brainstorming, group discussions and research presentations with an inspiring view of the waterfront. A big thank you to all who attended and congratulations to the graduates! Read More

Awareness to Action: Integrating Equity, Inclusion, and Accessibility in Research

Join us for a 2-part workshop series “Awareness to Action: Integrating Equity, Inclusion and Accessibility in Research” on May 9th and 16th at 10:00AM EDT. Through open and interactive discussions, we will explore equity concepts and principles and provide tools tools to help foster a research environment that is both enriching and accessible to diverse perspectives. Read More

Trainee Talks Webinar - May 28, 2024

In the May 28, 2024 edition of CREATE SE4AI Trainee Talks, we heard from Queen's University Master's students Jiawen Liu and Shenyu Zheng. Jiawen shared her work on “Understanding Open-Source Contributor Profiles in Popular Machine Learning Libraries.” Read More

GEMinAI Program Storytelling Wrap-up Event - May 24, 2024

GEMinAI_24May2024
The Gender Equity Mentoring in AI (GEMinAI) Program celebrated the end of a successful first year on May 24th. Mentors and mentees from the program's inaugural cohort gathered at 4th Space at Concordia to share stories of their mentoring journey. Jasbir Kooner, MBA (Concordia) and Director, IT and Cybersecurity at Englobe was one of the 13 industry mentors who participated in GEMinAI. Read More

Trainee Talks Webinar - April 29, 2024

Trainee Talks April 29
We hosted our Trainee Talks webinar on Monday, April 29th, 2024. During the session, we had the privilege of hearing from Amanda Kolopanis, a Software Engineering Master's student at Concordia University, and Jaskirat Singh, a Software Engineering Master's student at Queen's University. Read More

Trainee Talks Webinar - March 25, 2024

We hosted our Trainee Talks webinar on Monday, March 25th, 2024. It was a great session where we had the opportunity to hear from talented individuals. Read More

Trainee Talks Webinar - February 27, 2024

Our first Trainee Talks of 2024 was held on Tuesday, February 27th. We welcomed Queen's University Master's student Akshat Malik, who presented his work on Empirical Evaluation of Graph-Anonymized Metrics for JIT Defect Prediction. Read More

Future of AI Networking Event

CREATE SE4AI has partnered with the Montréal chapter of Women in AI & Robotics and Concordia's Applied AI Institute to host a speaker and networking event on the Future of AI on Thursday Nov. 30th. Read More

FM + SE School in Mexico City November 16-17, 2023 ​

Professors Hassan, Khomh and Adams hosted a 2-day conference in Mexico City on Foundational Models and Software Engineering. Read More

CAN-CWIC Conference in Toronto October 20-21, 2023

CAN_CWIC
4 CREATE students attended the annual Canadian Women in Computing Conference in Toronto. This annual conference provides career-oriented workshops. Read More

GEMinAI Mentoring Program Launch October 19, 2023

The Gender Equity Mentoring in AI (GEMinAI) program was launched on Oct. 19, 2023 as a joint initiative between CREATE SE4AI and Concordia’s Applied AI Institute. Read More

Trainee Talks Webinar - September 25, 2023

Trainee Talks Webinar - September 25, 2023
Our CREATE SE4AI community came together on September 25th, 2023 for the first Trainee Talks of the fall semester. We heard Queen's Master's candidate Divya Kamath present her thesis research on Pragmatic Approaches to Schedule Less Builds in Continuous Integration. Then, Mohayeminul Islam, PhD student from University of Alberta shared his work on Characterizing Python Library Migrations. Read More

Industry Talks Webinar - April 25, 2023

CREATE SE4AI is pleased to present Patrick Mesana, Consultant at National Bank of Canada and PhD Candidate at HEC, who spoke on Balancing Data Valorization and Privacy: Industry Challenges and Opportunities. Read More

Trainee Talks Webinar - April 3rd, 2023

Trainee Talks Webinar - April 3rd, 2023
The Spring Trainee Talks webinar was a huge success and we were pleased to have 27 participants join!. Read More

Women in Engineering (WIE) - March 18, 2023

wie1
On March 18th , CREATE SE4AI took part in WIE Inspire WIE Empower, an annual event hosted by the Women in Engineering (WIE) student association at the Gina Cody School of Engineering and Computer Science at Concordia University. Read More

Trainee Talks Webinar - February 27, 2023

February 27, 2023
In the first Trainee Talks webinar of 2023, Pierre-Olivier Côté, a Master's student at Polytechnique Montréal spoke about Quality Issues in Machine Learning Software Systems. Immediately following, University of Alberta PhD student Akalanka Galappaththi presented his work. Read More

Industry Talks Webinar - February 10, 2023

February 10, 2023
Dr. Gabor Melli, VP of Engineering, AI/ML at San Francisco-based Medable joined us for our first industry talk webinar of 2023! Gabor Melli is a seasoned professional with a proven track record of leading teams and driving positive change. Read More

Trainee Talks Webinar - December 13, 2022

trainee_talk_2
Trainee Talks is a monthly webinar series featuring CREATE SE4AI trainees sharing their research topics in software engineering and AI. Read More

Industry Talks Webinar - November 18, 2022

telecom2
CREATE SE4AI is pleased to present AI Adoption in Telecom Networks as part of our Industry Talks webinar series. Read More

Trainee Talks Webinar - November 4, 2022

trainee_talk_1
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. Read More

CREATE SE4AI Retreat - June 3, 2022

retreat
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. Read More

Guest Speaker Webinar - April 12, 2022

olivier
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". Read More

Guest Speaker Webinar - February 3, 2022

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

Upcoming Events coming soon

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Contact Us

For any inquiries, please contact the Program Director:

Dr. Emad Shihab

Phone: 514-848-2424 ext. 4359

Email: emad.shihab@concordia.ca

- + \ No newline at end of file diff --git a/courses/ENCS-691/index.html b/courses/ENCS-691/index.html index 8a9b5c8b8..5b893a117 100644 --- a/courses/ENCS-691/index.html +++ b/courses/ENCS-691/index.html @@ -6,7 +6,7 @@ ENCS 691: Social Aspects Of AI Systems | CREATE SE4AI - + @@ -16,7 +16,7 @@ You will write three short reflection essays during the semester. These essays should be roughly 700-800 words each, or about two double-spaced pages. Your duty will be to reflect on the readings in the last week or two and write an informed and reasoned opinion about the readings (no summary).

Midterm project (15%) There will be one midterm project that you will complete in small groups. The midterm project includes a presentation.

Final project (report + presentation + ppt) (30%) There will be one major project, which you will complete in small groups. This component consists of three parts: (i) a group presentation, (ii) a ppt, and (iii) a project report. The group presentation will take place in the second half of the semester. The report will be approximately 2000 words and should include a bibliography. We will discuss the details of this project, as well as possible topics, during class. The project report is due April 20th.

Schedule

The course will take place weekly over a 13-week term on Wednesday, 14:45-17:30 EST. The schedule and topics are outlined below. Slight modifications might occur based on the specific interest of students and in response to current events and developments.

Zoom meeting link: Available upon request, please send an email to Tanja Tajmel (tanja [dot] tajmel [at] concordia [dot] ca).

WeekDateTopic
1Jan 12Introduction to the course
2Jan 19Terminology around social aspects and EDI
3Jan 26Human rights and sustainable development
4Feb 2Technology and politics
5Feb 9AI and materiality
6Feb 16AI, industry and employment
7Feb 23AI application and cases
8Mar 9AI harm, issues and concerns
9Mar 16AI ethics
10Mar 23AI policies and regulations
11Mar 30AI and SE culture, practices, and values
12Apr 6Indigenous perspectives on AI
13Apr 13Final project presentation

Reading and other resources

No textbook will be assigned for this course. For each lesson, I will prescribe readings and online assignments like selected book chapters, international reports, documentaries, films and interviews, which will be discussed in the lesson.

- + \ No newline at end of file diff --git a/courses/SOEN-691/index.html b/courses/SOEN-691/index.html index 21ce3f4c1..295e63de0 100644 --- a/courses/SOEN-691/index.html +++ b/courses/SOEN-691/index.html @@ -6,13 +6,13 @@ SOEN 691: Engineering AI-Based Software Systems | CREATE SE4AI - +

SOEN 691: Engineering AI-Based Software Systems

Background

The development, deployment and servicing of AI-based systems requires specialized training since such systems tend to have fundamental differences compared to traditional software systems. For example, traditional software systems are written to implement a specific behaviour that is expected of the system, whereas, AI-based systems infer their behaviour from training data. In such cases, technical aspects such as debugging if something is wrong becomes much harder since there is no ‘expected output’. The goal of the course is to provide graduate students with the basic and fundamental technical background while exercising SE concepts in the context of an AI-based software system.

Course Description

This course introduces key concepts related to the engineering of AI-based software systems. Topics include requirements and architectures of AI-based software systems, data validation and management, model selection, quality assurance, deployment and continuous delivery of AI-based software systems. Additionally, special topics on interpreting and monitoring models, and operations in large-scale AI-based system will be included. A course project involving a real-world open source AI-based software system will be required.

A tentative list of the topics that will be covered in this course is given in the tentative schedule section at the botom of the page.

Evaluation Criteria

Component%
Class participation10
Paper critiques & activities20
Project proposal10
Research project40
Quiz20

You must pass the quizzes and the course project to pass the course.

Paper Critiques

We will have two assigned research papers on most weeks. Each student is expected to send a critique of one of the papers that are being presented. The critique should include a brief summary of the paper, at least three strengths of the paper and at least three weaknesses of the paper. For the other paper, each student is required to submit a summary of the paper. The critiques and paper summaries are due at noon on Fridays before the class. All paper critiques will be graded in detail.

Research Project

A large portion of the course deliverables is a course research project. You are expected to work on the course project in groups of 4-5 students. Each group is expected to write a research paper by the end of the semester. The topic is to be determined with the instructor. Examples include a new contribution on a specific related topic, a survey paper of a related topic (typically involves surveying 30 – 60 papers), or building a tool to support engineering AI-based software systems.

Tentative Schedule

The table below provides a summary of the material that will be covered during the course as well as a tentative schedule. Please check the course web page for any changes. We will also update the table weekly to include the PDF of the Slides of each topic.

WeekDateTopic + Slides in PDF
1Jan 10Introduction & overview
2Jan 17AI for Software Engineers
3Jan 24Quality of AI-based systems
4Jan 31Software requirements for AI-based systems
5Feb 7Software architectures of AI-based systems
6Feb 14Data validation and management
7Feb 21Project updates (student presentations)
8Mar 7Model selection and experimentation
9Mar 14Deployment and testing
10Mar 21Continuous delivery
11Mar 28Interpreting, explaining, monitoring models, and MLOps (special topics)
12Apr 4Quiz
13Apr 11Project presentations (student presentations)

Reference Material

Reading materials (i.e., researcher papers) will be assigned and provided.

The course will occasionally reference the following textbook:

  • Building Intelligent Systems: A Guide to Machine Learning Engineering, 2018. Geoff Hulten

Contact Information

In case you need to communicate or ask any questions about the course, please send an e-mail to:

  • Dr. Emad Shihab: emad [dot] shihab [at] concordia [dot] ca
  • Dr. Diego Elias Costa: diego [dot] costa [at] concordia [dot] ca
- + \ No newline at end of file diff --git a/geminai/index.html b/geminai/index.html index b7cc6919a..954ebba13 100644 --- a/geminai/index.html +++ b/geminai/index.html @@ -6,13 +6,13 @@ 2024-25 GEMinAI Program - Applications Now Open | CREATE SE4AI - +

2024-25 GEMinAI Program - Applications Now Open

IMG_3070GEMinAI_Launch_Event176groupGEMinAI_Launch_Event179

Together with the Applied AI institute at Concordia, we are excited to announce the launch of our recruitment campaign for the next cohort of the Gender Equity Mentoring in AI (GEMinAI) Program.

If you are a professional working in the field of AI, please consider mentoring a student for 6 months during the 2024-25 academic year. For more information and to apply, please complete the Mentor Application Form here:

Apply Now

Mentees must be currently enrolled as Concordia undergraduate or graduate students and identify as a woman or non-binary person. CREATE SE4AI trainees from all institutions are eligible to join. To apply, please complete the Mentee Application Form here:

Apply Now

SE4AIGEMinAAIinstitute
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-

Governance

Program Committee

Dr. Julien Crowe

Dr. Julien Crowe

Senior Director, Artificial Intelligence Factory at National Bank of Canada.

Dr. Marie-Pierre Habas Gerard

Dr. Marie-Pierre Habas Gerard

Directrice Générale / Chief Executive at Confiance IA

Mr. Pierre Dumouchel

Mr. Pierre Dumouchel

Professeur titulaire (ÉTS) et Directeur transfert technologique at Ivado

Mr. Jesse Vincent-Herscovici

Mr. Jesse Vincent-Herscovici

Chief Executive Officer at CEO Axelys

Dr. Lata Narayanan

Dr. Lata Narayanan

Professor, Computer Science and Software Engineering at Concordia University

    Mr. Derek Truong

    Mr. Derek Truong

    Program Director at IBM.

    Mr. Serge Oligny

    Mr. Serge Oligny

    Strategist, Data Valuation at Desjardins

    Dr. Stefan Wagner

    Dr. Stefan Wagner

    Professor at Technical University of Munich.

      Dr. Liming Zhu

      Dr. Liming Zhu

      Research Director at CSIRO's Data61

      - +

      Governance

      Program Committee

      Dr. Julien Crowe

      Dr. Julien Crowe

      Senior Director, Artificial Intelligence Factory at National Bank of Canada.

      Dr. Marie-Pierre Habas Gerard

      Dr. Marie-Pierre Habas Gerard

      Directrice Générale / Chief Executive at Confiance IA

      Mr. Pierre Dumouchel

      Mr. Pierre Dumouchel

      Professeur titulaire (ÉTS) et Directeur transfert technologique at Ivado

      Mr. Jesse Vincent-Herscovici

      Mr. Jesse Vincent-Herscovici

      Chief Executive Officer at CEO Axelys

      Dr. Lata Narayanan

      Dr. Lata Narayanan

      Professor, Computer Science and Software Engineering at Concordia University

      Mr. Derek Truong

      Mr. Derek Truong

      Program Director at IBM.

      Mr. Serge Oligny

      Mr. Serge Oligny

      Strategist, Data Valuation at Desjardins

      Dr. Stefan Wagner

      Dr. Stefan Wagner

      Professor at Technical University of Munich.

      Dr. Liming Zhu

      Dr. Liming Zhu

      Research Director at CSIRO's Data61

      + \ No newline at end of file diff --git a/index.html b/index.html index 7a1f70136..38ce8523e 100644 --- a/index.html +++ b/index.html @@ -6,13 +6,13 @@ CREATE SE4AI - +

      CREATE SE4AI

      A Training Program on the Development, Deployment and Servicing of Artificial Intelligence-based Software Systems

      Apply Now

      A Unique, Comprehensive Program that Focuses on Academic, Practical, and Professional Skills

      Engineering AI Systems

      Provides trainees with the technical software engineering background in the context of AI-based software systems.

      Social Aspects for AI Systems

      Provides trainees with knowledge on various social aspects that AI-based systems need to consider, e.g., privacy, ethics, equity, diversity, inclusion (EDI), guided by human rights and sustainable development goals (SDG).

      Specialization Courses

      A curated set of SE, AI, and social aspects courses to strengthen the trainees's specialization. Trainees will select courses that best fit interests.

      Professional Development

      Provides training modules on professional skills in the context of AI-Software Systems.

      Industrial Engagement

      Provides trainees with special internship opportunities with our industrial partners and collaborating partners.

      Leadership and Mentorship Training

      Provides trainees with specialized training on the critical evaluation of AI-based software systems and related publications.

      In Collaboration with World-renowned Researchers and Technology Leaders

      Concordia University
      Polytechnique Montréal
      Queen's University
      University of Alberta
      National Bank of Canada
      IBM
      Cisco
      TD Bank Group
      Ericsson
      Airudi
      GIRO Inc
      Radio Canada
      Natural Sciences and Engineering Research Council of Canada (NSERC)
      IVADO
      International Observatory on the Societal Impacts of AI and Digital Technology (OBVIA)
      Montreal AI Ethics Institute (MAIEI)
      University of Graz
      Vercel
      AIinstitute
      Women in AI and Robotics
      - + \ No newline at end of file diff --git a/intro/index.html b/intro/index.html index f47729ca3..67e651521 100644 --- a/intro/index.html +++ b/intro/index.html @@ -6,7 +6,7 @@ Program Overview | CREATE SE4AI - + @@ -21,7 +21,7 @@ with a solid background on ethical and social understanding of AI. The SE4AI CREATE will be delivered by a team of world-renowned experts, working closely with leading international and Canadian industrial partners. SE4AI CREATE achieves a number of novel and original training components:

      • A specialized, newly developed course on Engineering AI-based Software Systems.
      • A specialized, newly developed course on Social Aspects for AI-based Software System.
      • Professional Development for AI-based Software System Practitioners modules.
      • Industrial embedding where trainees will be offered the opportunity to serve one or more internships with our industrial partners.
      • Industry webinar and/or on-site seminars.
      • Carefully selected specialization courses on SE, AI, and social concepts.
      • Hands-on leadership and mentorship training where trainees will be coached on how to critically evaluate AI-based software systems, related projects and publications.

      The SE4AI CREATE will prepare our next generation of trainees to take on leadership roles such as, team leads, entrepreneurs, policy makers, and professors.

      - + \ No newline at end of file diff --git a/members/derek-truong/index.html b/members/derek-truong/index.html index af0c016b4..42ab905b9 100644 --- a/members/derek-truong/index.html +++ b/members/derek-truong/index.html @@ -6,13 +6,13 @@ Derek Truong | CREATE SE4AI - +

      Derek Truong

      Bio

      Derek Truong is a Program Director at IBM focusing on delivering DevSecOps Tooling for the IBM Z Hybrid Cloud. He leads a global team that is responsible for the overall IBM Z developer and pipeline experience. Derek is a holder of 15 patents and serves as a Master Inventor at the IBM Markham Lab.

      Email: trong@ca.ibm.com

      - + \ No newline at end of file diff --git a/members/jesse-vincent-herscovici/index.html b/members/jesse-vincent-herscovici/index.html index 2b386c9b8..84335a97c 100644 --- a/members/jesse-vincent-herscovici/index.html +++ b/members/jesse-vincent-herscovici/index.html @@ -6,7 +6,7 @@ Jesse Vincent-Herscovici | CREATE SE4AI - + @@ -23,7 +23,7 @@ Mathematics in Biology and Medicine. Jesse holds a graduate degree from Concordia University in Human Systems Intervention.

      Contact

      Email: jvh@mitacs.ca

      - + \ No newline at end of file diff --git a/members/julien-crowe/index.html b/members/julien-crowe/index.html index 2a7a34917..2fd837b5c 100644 --- a/members/julien-crowe/index.html +++ b/members/julien-crowe/index.html @@ -6,13 +6,13 @@ Dr. Julien Crowe | CREATE SE4AI - +

      Dr. Julien Crowe

      Bio - Français

      Leader du secteur des technologies et de l’intelligence artificielle depuis plus de 15 ans, Julien a joint la Banque Nationale en 2016. Il a contribué à la transformation de la culture analytique de plusieurs grandes organisations québécoises dans les secteurs de la finance et de la santé, en parallèle à l’implémentation de partenariats académiques-industriels de recherche appliquée en intelligence numérique. Julien est titulaire d’un doctorat de HEC Montréal et membre du comité aviseur des programmes de formation de pointe Fin-ML et SE4AI.

      Bio - English

      Leader for more than 15 years in technology and artificial intelligence, Julien has joined National Bank in 2016. He has contributed to the insight-driven cultural transformations of multiple large Canadian organizations in finance and health care, while in parallel implementing data intelligence applied research academic-industrial partnerships. Julien graduated with a doctorate from HEC Montreal and is a member of the advisory boards for the advanced training programs Fin-ML and SE4AI.

      Contact

      Email: julien.crowe@bnc.ca

      - + \ No newline at end of file diff --git a/members/marie-pierre-habas-gerard/index.html b/members/marie-pierre-habas-gerard/index.html index 8c429fc19..d5015501a 100644 --- a/members/marie-pierre-habas-gerard/index.html +++ b/members/marie-pierre-habas-gerard/index.html @@ -6,13 +6,13 @@ Dr. Marie-Pierre Habas Gerard | CREATE SE4AI - +

      Dr. Marie-Pierre Habas Gerard

      Bio

      21 years of consulting experience in international firms in the field of digital transformation and 7 years spent in University Research and Development in Computational & quantical Mathematics . With transformational leadership, I am able to define the digital transformation roadmap at the strategic level as well as coordinate the teams to deliver it in accordance with the milestones. Currently Lead of CGI's Multisectoral Artificial Intelligence Practice, I created the multidisciplinary team, defined the Business Plan and the 2022-2025 roadmap as well as the manufacturing methodology for our machine learning solutions and operational research.

      Previously Partner and Head of Deliverables of my startup in machine learning and natural language processing (NLP/NLU) and Lead of the Artificial Intelligence Practice of RCGT, I took charge of the recruitment of the Data Science team and the implementation of software manufacturing stages, industrialization and testing activities.

      Very comfortable in the management of multidisciplinary teams, I like to create links and value between academic profiles, Product teams and delivery teams.

      Through my international professional experiences and my personal encounters, I have been able to develop a high-level vision of the application of artificial intelligence to the business challenges of clients. I was also able to measure the necessary changes that organizations must already integrate in order to welcome new profiles and behaviors within their teams. AI is an exceptional vector of change and I like to consider its benefits at different levels, both human and technical.

      Contact

      Email: marie-pierre.gerard@cgi.com

      - + \ No newline at end of file diff --git a/members/pierre-dumouchel/index.html b/members/pierre-dumouchel/index.html index 0a01bd8f8..872872433 100644 --- a/members/pierre-dumouchel/index.html +++ b/members/pierre-dumouchel/index.html @@ -6,13 +6,13 @@ CREATE SE4AI - +
      - + \ No newline at end of file diff --git a/members/serge-oligny/index.html b/members/serge-oligny/index.html index 97da1b567..3fcf0d592 100644 --- a/members/serge-oligny/index.html +++ b/members/serge-oligny/index.html @@ -6,7 +6,7 @@ Mr. Serge Oligny | CREATE SE4AI - + @@ -28,7 +28,7 @@ co-authored several papers and had opportunities to present many of them in America, in Europe and in Asia. He has been a contributing member to the Standard Council of Canada for several years.

      - + \ No newline at end of file diff --git a/partners/index.html b/partners/index.html index 1e7019c5c..7a71dc023 100644 --- a/partners/index.html +++ b/partners/index.html @@ -6,13 +6,13 @@ Partners | CREATE SE4AI - +

      Our Partners

      Participating Universities

      Concordia University
      Polytechnique Montréal
      Queen's University
      University of Alberta

      Industrial Partners

      National Bank of Canada
      IBM
      Cisco
      TD Bank Group
      Ericsson
      Airudi
      GIRO Inc
      Radio Canada

      Collaborators and Supporters

      Natural Sciences and Engineering Research Council of Canada (NSERC)
      IVADO
      International Observatory on the Societal Impacts of AI and Digital Technology (OBVIA)
      Montreal AI Ethics Institute (MAIEI)
      University of Graz
      Vercel
      AIinstitute
      Women in AI and Robotics
      - + \ No newline at end of file diff --git a/team/index.html b/team/index.html index 3e4d9effa..5a7508454 100644 --- a/team/index.html +++ b/team/index.html @@ -6,13 +6,13 @@ Team | CREATE SE4AI - +

      Our Team

      Program Leadership

      Dr. Emad Shihab

      Dr. Emad Shihab Director

      Concordia University
      Dr. Foutse Khomh

      Dr. Foutse Khomh

      Polytechnique Montréal
      Dr. Tanja Tajmel

      Dr. Tanja Tajmel

      Concordia University
      Dr. Jinqiu Yang

      Dr. Jinqiu Yang

      Concordia University
      Dr. Ying (Jenny) Zou

      Dr. Ying (Jenny) Zou

      Queen’s University
      Dr. Sarah Nadi

      Dr. Sarah Nadi

      University of Alberta
      Dr. Ahmed E. Hassan

      Dr. Ahmed E. Hassan

      Queen’s University
      Dr. Bram Adams

      Dr. Bram Adams

      Queen’s University

      Administration

      Lori Akiyama

      Lori Akiyama Program Coordinator

      Concordia University

      Postdocs

      Dr. Hassan Khatoonabadi

      Dr. Hassan Khatoonabadi

      Post Doctoral Researcher at Concordia University

      Alumni

      Akshat Malik

      Akshat Malik, MSc

      Currently Software Engineer at Microsoft

      Harsh Patel

      Harsh Patel, MSc

      Currently Software Development Engineer at Splunk

      Khaled Badran

      Khaled Badran, MSc

      Concordia University
      Rached Bouchoucha

      Rached Bouchoucha, MSc

      Currently MLOps engineering at Sycodal

      Ahmed Haj Yahmed

      Ahmed Haj Yahmed, MSc

      Currently Teaching Assistant for the MLOps upskilling Program at IVADO

      Divya Kamath

      Divya Kamath, MSc

      Currently PhD student at McGill University

      Pierre-Olivier Côté

      Pierre-Olivier Côté, MSc

      Currently Machine Learning and Software Engineer at DRW

      Dr. Ahmad Abdellatif

      Dr. Ahmad Abdellatif, Assistant Professor

      Currently Assistant Professor at University of Calgary

      Dr. Diego Costa

      Dr. Diego Costa

      Assistant Professor at Concordia University

      Ernesto Lang Oreamuno

      Ernesto Lang Oreamuno, MSc

      Currently Senior Software Developer at Encircle

        Students

        Yiping Jia

        Yiping Jia

        PhD Student at

        Queen's University
          Fangjian Lei

          Fangjian Lei

          PhD Student at

          Queen's University
          Junjie Li

          Junjie Li

          PhD Student at

          Concordia University
            Sharon Ho

            Sharon Ho

            Master's Student at

            Concordia University
            Amanda Kolopanis

            Amanda Kolopanis

            Master's Student at

            Concordia University
            Mohayeminul Islam

            Mohayeminul Islam

            PhD Student at

            University of Alberta
            Akalanka Galappaththi

            Akalanka Galappaththi

            PhD Student at

            University of Alberta
            Aurel Lucrich Ikama Honey

            Aurel Lucrich Ikama Honey

            PhD Student at

            Polytechnique Montréal
            Vahid Majdinasab

            Vahid Majdinasab

            PhD Student at

            Polytechnique Montréal
              Patrick Loic Foalem

              Patrick Loic Foalem

              PhD Student at

              Polytechnique Montréal
              Forough Majidi

              Forough Majidi

              PhD Student at

              Polytechnique Montréal
              Antonio Collante

              Antonio Collante

              PhD Student at

              Concordia University
              Musfiqur Rahman

              Musfiqur Rahman

              PhD Student at

              Concordia University
              Jasmine Latendresse

              Jasmine Latendresse

              PhD Student at

              Concordia University
              Jiawen Liu

              Jiawen Liu

              Master's Student at

              Queen's University
              Pouya Fathollahzadeh

              Pouya Fathollahzadeh

              Master's Student at

              Queen's University
              Jaskirat Singh

              Jaskirat Singh

              Master's Student at

              Queen's University
              Shenyu Zheng

              Shenyu Zheng

              Master's Student at

              Queen's University
              Afiya Fahmida Sarah

              Afiya Fahmida Sarah

              Master's Student at

              University of Alberta
              Fazle Rabbi

              Fazle Rabbi

              PhD Student at

              Concordia University
              Lorena Pacheco

              Lorena Pacheco

              Master's Student at

              Concordia University
              Samuel Abedu

              Samuel Abedu

              PhD Student at

              Concordia University
              Khouloud Oueslati

              Khouloud Oueslati

              Master's Student at

              Polytechnique Montréal
              Yang Liu

              Yang Liu

              PhD Student at

              Polytechnique Montréal
                Laila Mahmoud Daw Abodinar

                Laila Mahmoud Daw Abodinar

                PhD Student at

                Polytechnique Montréal
                Altaf Allah Abbassi

                Altaf Allah Abbassi

                Master's Student at

                Polytechnique Montréal
                Alor Ebube

                Alor Ebube

                Master's Student at

                Concordia University
                Mayra Ruiz

                Mayra Ruiz

                Master's Student at

                Concordia University
                Lin Ling

                Lin Ling

                Master's Student at

                Concordia University
                Mohammadhossein Malekpour

                Mohammadhossein Malekpour

                Master's Student at

                Polytechnique Montréal
                Anirban Dey

                Anirban Dey

                Master's Student at

                Queen's University
                Rachna Raj

                Rachna Raj

                Master's Student at

                Concordia University
                Iren Mazloomzadeh

                Iren Mazloomzadeh

                PhD Student at

                Polytechnique Montréal
                Gideon Peters

                Gideon Peters

                Master's Student at

                Concordia University
                Muhammed Yusuf Dada

                Muhammed Yusuf Dada

                Master's Student at

                Queen's University
                Mohamed Riahi

                Mohamed Riahi

                Master's Student at

                Polytechnique Montréal
                Adekunle Ajibode

                Adekunle Ajibode

                PhD Student at

                Queen's University
                Hicham Masri

                Hicham Masri

                Master's Student at

                Queen's University
                Genevieve Caumartin

                Genevieve Caumartin

                Master's Student at

                Concordia University
                Jean Carlors Paul

                Jean Carlors Paul

                PhD Student at

                Polytechnique Montréal
                Chaima Jaziri

                Chaima Jaziri

                MASc Student at

                Concordia University
                Usama Saleem

                Usama Saleem

                Undergraduate Student at

                Concordia University
                Laurine Menneron

                Laurine Menneron

                Undergraduate Student at

                Concordia University
                Naoures Day

                Naoures Day

                Undergraduate Student at

                Concordia University
                Florent Kienzler

                Florent Kienzler

                Undergraduate Student at

                Concordia University
                Thomas Le Tourneau

                Thomas Le Tourneau

                - + \ No newline at end of file diff --git a/training-program/components/index.html b/training-program/components/index.html index a1b0d69f6..15b875683 100644 --- a/training-program/components/index.html +++ b/training-program/components/index.html @@ -6,7 +6,7 @@ Program Components | CREATE SE4AI - + @@ -37,7 +37,7 @@ participate and contribute). To ensure a comprehensive training of the MITs, they will be given the option to mentor trainees in all aspects, i.e., proposing research projects, supporting progress, as well as advising them on technical writing, presentation, and research methodology issues.

                - + \ No newline at end of file diff --git a/training-program/objectives/index.html b/training-program/objectives/index.html index 2f630f381..d90ec24d2 100644 --- a/training-program/objectives/index.html +++ b/training-program/objectives/index.html @@ -6,13 +6,13 @@ Program Objectives | CREATE SE4AI - +

                Program Objectives

                The objective of the SE4AI CREATE program is to fill the major shortage in HQP that can develop, deploy and service AI-based software systems and equally provide the HQP with a solid background on ethical and social understanding of AI. Our program is driven by six key training objectives:

                • Prepare trainees that are knowledgeable in both technical and social aspects needed to develop, deploy and service AI-based software systems.
                • Provide trainees with real-life experiences where they can be exposed to challenges and best practices involving the development of AI-based software systems.
                • Bridge the gap between practice and academia by offering trainees opportunities to interact closely with practitioners and non-technical disciplines in order to train them on effective methods to communicate impactful and sustainable academic innovations.
                • Provide trainees with opportunities to develop highly sought-after professional skills such as communication, collaboration, leadership, entrepreneurship, and mentorship.
                • Expose trainees to the latest research (both technical and social aspects) in the development, deployment, and servicing of AI-based software systems and ensure that, by completing world-class research projects and theses, they will be prepared to play leadership roles in shaping the future of this very important area.
                • Enable trainees to customize their training program to better suit their needs and aspirations.
                - + \ No newline at end of file