Graduate Student Symposium
Program details
The symposium will be held during the conference. It will provide an opportunity for Master’s and PhD students to discuss and explore their research interests and career objectives with their peers and with a panel of established researchers in Artificial Intelligence. The symposium will allow the attendees to develop a supportive community of scholars and a spirit of collaborative research.
This year's graduate symposium will have the following sessions:
- A selection of four oral presentations from the accepted submissions.
- A poster session during the main conference for all accepted submissions.
Schedule
The four GSS presentations will occur Tuesday May 28, 2024 as Session 2 in the main program schedule, in Room 101.
The poster session will occur Wednesday May 29, 2024 during the poster session indicated in the main program schedule.
Presentations
- Large Language Models are Incoherent Storytellers, Nisha Simon (Queen's University)
Designing for Fairness in Higher Education Early Warning Systems, Kelly McConvey; Shion Guha (Toronto)- Cancelled- The Use of Human Evaluators in Emotion Text-Detection, Zayn Abbas (University of Guelph)
- BioScan-CLIP: Contrastive Learning for Aligning Biological Images and DNA Sequences, ZeMing Gong; Austin T Wang (SFU)
Posters
- Generalized Voting Model To Measure Popularity Of Matchings, Peash Ranjan Saha (Queen's University)
- Deep Reinforcement Learning Algorithms for Financial Decision-Making, Andrei Neagu (Concordia University)
- EarthEncode: A Vision-Language Framework for Balanced Soil Property Mapping, Vishvam Porwal (University of Guelph)
- Enhancing Food Price Forecasts in Canada: An Integration of Expert-Driven Covariates and Advanced ML Approaches, Kristina L Kupferschmidt (University of Guelph)*; Cody Kupferschmidt (University of Guelph)
- A Fully Secure Approach To Privacy-Preserving Machine Learning for Satellite Image Classification, Joseph R O'Neill (Acadia University)
- Does ChatGPT Measure Up to Discourse Unit Segmentation? A Comparative Analysis Utilizing Zero-Shot Custom Prompts, Kota Shamanth Ramanath Nayak (Concordia University)
- Artificial Intelligence solution to monitor key human biomedical marker via thermal camera, Sayana Varughese (University of Guelph); Cathrine Nayrouz (University of Guelph)
- Using AI Planning and Multi-Agent Pathfinding for Droplet Routing, Mehjabin Rahman (Toronto Metropolitan University)
- Storage Reduction for the Vehicular IoT Data with Transformer-based Autoencoders, Ibrahim Aslam (Acadia University)
- Certified Robustness Guarantee for Ensemble Networks, Daniel DS Sadig (Toronto Metropolitan University); Reza Samavi (Toronto Metropolitan University)
- Large Language Models are Incoherent Storytellers, Nisha Simon (Queen's University)
- Designing for Fairness in Higher Education Early Warning Systems, Kelly McConvey (University of Toronto); Shion Guha (University of Toronto)
- The Use of Human Evaluators in Emotion Text-Detection, Zayn Abbas (University of Guelph)*
- BioScan-CLIP: Contrastive Learning for Aligning Biological Images and DNA Sequences, ZeMing Gong (Simon Fraser University); Austin T Wang (Simon Fraser University)
Call for abstracts
The 37th Canadian Conference on Artificial Intelligence invites graduate students to submit their research on ongoing thesis work from all areas of Artificial Intelligence for possible inclusion in the AI 2024 Graduate Student Symposium and the AI 2024 proceedings published in PubPub open access online format (https://www.pubpub.org/). We welcome the following types of submissions based on unpublished or previously published work related to your thesis.
- Abstracts (2 pages)
- Extended abstracts (4 pages)
The references can use an additional 2 pages. Only extended abstracts will be considered for an oral presentation. The authors should consult the authors’ guidelines for the Canadian AI 2024 conference and use the provided proceedings template for LaTeX or Microsoft Word to prepare their submissions. The “abstract” section can be omitted for the two-page abstract submission. All submissions must clearly state the research problem, the proposed solution and approach, description of the progress to date, and include results if appropriate. All submissions must be written in English.
The lead author of each accepted submission is required to present the work in-person at the symposium. The authors must agree to this requirement prior to submitting their work for review. Upon acceptance, the authors and their thesis supervisor(s) should sign a copyright form to publish the work in the Canadian AI proceedings. Program committee members will review each submission. Acceptance is based on clarity of the submission, significance of the problem, novelty of the solution, and quality of the research.
Submissions should be anonymized.
All students are encouraged to attend and participate in the Symposium, whether or not they are the first author or if they have accepted papers in the symposium.
Important dates
Paper submission deadline: 21 February 2024 extended to 28 February 2024 (11:59 p.m. any Canadian time zone)
Author notification: 21 March 2024
Final papers due: 11 April 2024
Program chair
Bailey Kacsmar
Assistant Professor, Department of Computing Science
University of Alberta, Amii, Edmonton, Canada
Website
Program committee
Alex Ayoub, University of Alberta
Ben Armstrong, University of Waterloo
David T. Radke, Chicago Blackhawks
John Martin, Intel Labs
Kyle Tilbury, University of Waterloo
Masoumeh Shafieinejad, Vector Institute
Matthew Guzdial, University of Alberta
Maura Pintor, University of Cagliari
Scott Jordan, University of Alberta
Simon Oya, University of British Columbia
Yalda Mohsenzadeh, Western University
FAQ
Q1. Do I have to be a graduate student to submit an abstract?
A1. The first author, or a solo author, has to be a graduate student. An undergraduate student can be a co-author. Note that the abstract has to be presented by the graduate student.
Q2. Can I submit an abstract based on my completed dissertation or a previously published paper?
A2. The symposium aims to help students to define and make progress on their thesis. Therefore, work-in-progress with experimental validations can also be submitted.
Q3. Should my supervisor(s) support my GSS submission?
A3. Your supervisor(s) should be aware of your submission. There is no no need for explicit support, however, if you need travel funding to attend the GSS, you might need the financial support of your supervisor.
Q4. Can my supervisor(s) co-author the submissions?
A4. Supervisor(s) should be acknowledged in the abstract but are not to be co-authors. Front page’s footnote or Acknowledgement before Bibliography are good places to list the name(s). However, your supervisor(s) cannot co-author the abstract. The same rule applies to post-doctoral fellows. Abstracts co-authored by post-doctoral fellows. will not be accepted.
Q5. We are two graduate students and want to submit one abstract for our two research projects. Is this OK?
A5. We encourage you to submit separate abstracts, however you can have graduate students as co-authors.
Q6. I have an abstract accepted by GSS. Can I have some financial support to attend GSS?
A6. Depending on how much funding we can secure, we will try to provide (partial) travel funding for selected accepted abstracts. There is no need to apply for this directly and all accepted abstract will be automatically considered. You can also apply for financial support to serve as Canadian AI volunteers.
Q7. I do not have an abstract accepted by GSS. Can I apply for financial support to attend?
A7. We are working to keep the cost of attending the GSS as low as possible (see the Canadian AI conference website). Financial support is designed for students whose abstracts have been accepted. You can also apply for financial support for the conference volunteers.