The 38th Annual AAAI Conference on Artificial Intelligence
February 20-27, 2024 | Vancouver, Canada
Undergraduate Consortium (AAAI-UC)
The Undergraduate Consortium (AAAI-UC) hosted at the 2024 AAAI Conference on Artificial Intelligence (AAAI-24) will offer undergraduate students an opportunity to enrich their conference experience by:
- presenting and receiving critical feedback about their ideas in a professional, academic setting;
- meeting prospective graduate advisors;
- receiving mentoring about the advantages (and disadvantages) of pursuing graduate studies in AI as well as practical early career advice;
- expanding their professional network to include AI experts, current graduate students, and undergraduate peers; and
- providing advice, tools, and resources for successfully applying to and attending graduate school in an AI-related research area.
The fifth AAAI-UC will be held in conjunction with the AAAI-24 conference.
Schedule At-A-Glance: Room 208
Everything is subject to change
Feb 20, 2024
| 07:30 – 08:30 | Breakfast – Getting to know the UC scholars and each other |
| 8:30 – 12:30 | Tutorials and Lab Forum |
| 12:30 – 17:00 | Networking+ at Vancouver |
| 18:00 – 19:00 | Student Reception |
Feb 21, 2024
| 07:00 – 08:00 | Breakfast on your own |
| 08:00 – 08:45 | Welcome and Logistics |
| 08:45 – 9:30 | Keynote: Dr. Marvin Andujar Brain-Centered AI: A Cognitive Enhancement and Brain Authentication |
| 9:30 – 10:30 | Workshop: How to apply to graduate school and fund your graduate education Dr. Patti Ordonez |
| 10:30 – 11:00 | Coffee Break |
| 11:00 – 11:45 | Workshop – From proposal to presentation: How to make a good research pitch when you are not sure of what you want to do Dr. Jason Grant |
| 11:45 – 13:00 | Beat the lunch rush |
| 13:00 – 14:00 | Faculty panel & speed-mentoring |
| 14:00 – 14:45 | Workshop: How to write a winning personal statement Dr. Patti Ordonez |
| 14:45 – 15:15 | Coffee Break |
| 15:15 – 16:00 | Keynote: Navigating the PhD journey : Strategies to Cultivate Your Research Identity Dr. Anita Raja |
| 16:00 – 16:30 | Closing Remarks |
Feb 22, 2024
| 08:00 – 08:45 | Breakfast with Graduate Students |
AAAI-24 Scholars
Ada Tur
Computer Science and Linguistics Program
McGill University
Expected Graduation: 04/2026
Publication Title: Deep Learning for Style Transfer and Experimentation with Audio Effects and Music Creation
Adam Baji
Computer Science Program
University of Maryland, Baltimore County
Expected Graduation: 05/2025
Publication Title: Enhancing Healthcare Predictions With Deep Learning Models
Amy Au
Cognitive Systems Program (Psychology)
University of British Columbia (UBC)
Expected Graduation: 11/2024
Publication Title: Evaluating AI Red Teaming’s Readiness to Address Environmental Harms: A Thematic Analysis of LLM Discourse
Cassandra Goldberg
Computer Science and Physics Departments
Bowdoin College
Expected Graduation: 05/2024
Publication Title: Statistically Principled Deep Learning for SAR Image Segmentation
Chahana Dahal
Westminster University
Publication Title: Revolutionizing Education through AI-Powered Inclusive Learning Systems
Erica Okeh
Computer Science
Howard University
Expected Graduation: 05/2027
Publication Title: Transforming Healthcare: A Comprehensive Approach to Mitigating Bias and Fostering Empathy through AI-Driven Augmented Reality
Fiona Luo
Computer and Information Science Department
University of Pennsylvania
Expected Graduation: 05/2025
Publication Title: Vision-Language Models for Robot Success Detection
Hanlin CAI
International Engineering College
National University of Ireland, Maynooth
Expected Graduation: 07/2024
Publication Title: Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques
Isaiah Gallardo
CSSE Department
Auburn University
Expected Graduation: 08/2024
Publication Title: Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data
Javon Hickmon
Department of Computer Science
University of Washington
Expected Graduation: 06/2024
Publication Title: Multimodal Ensembling for Zero-Shot Image Classification
Joseph Fatoye
Mechatronics Engineering Department
Bowen University
Expected Graduation: 11/2025
Publication Title: Enhancing Robotics with Cognitive Capabilities
Kevin Shen
Department of Electrical and Computer Engineering
The University of British Columbia
Expected Graduation: 05/2024
Publication Title: Multi-world Model in Continual Reinforcement Learning
Minghai Chen
Cognitive System, Faculty of Science
University of British Columbia
Expected Graduation: 04/2024
Publication Title: Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution
Nilton Rojas Vales
Science Department
National University of Engineering
Expected Graduation: 07/2024
Publication Title: Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World
Oluwanifemi Adebayo Moses Adekanye
Mechatronics Engineering Department
Bowen University
Expected Graduation: 11/2024
Publication Title: LLM-Powered Synthetic Environments for Self-Driving Scenarios
Tanisha Shende
Mathematics and Computer Science Departments
Oberlin College
Expected Graduation: 05/2026
Publication Title: AI-Enhanced Art Appreciation: Generating Text from Artwork to Promote Inclusivity
Varun Ananth
Paul G. Allen School of Computer Science
University of Washington
Expected Graduation: 06/2025
Publication Title: Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models
Yitong Tang
Electrical and Computer Engineering Department
University of British Columbia
Expected Graduation: 05/2024
Publication Title: Adapted Weighted Aggregation in Federated Learning
Zhengguang Wang
University of Virginia
Expected Graduation:
Publication Title: Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for TimeSeries Deep Learning Models
Undergraduate Consortium Co-Chairs
- Dr. Patricia Ordóñez, University of Maryland Baltimore County
- Dr. Jason Grant, Villanova University
Program Chair (Evaluation and Schedule)
- Dr. Rebecca Williams, University of Maryland Baltimore County
Mentors-Advisee Relations
- Dr. Jorge Ortiz, Rutgers University
Local Engagement Chair
- Kevin Leyton-Brown, University of British Columbia
Engagement Chair and Website
- Dr. Eliana Valenzuela Andrade, University of Puerto Rico at Arecibo
Thank you to the AAAI-24 UC Program Committee!
The AAAI 2024 Undergraduate Consortium thanks all the members of its program committee for their contributions to selecting our AAAI-24 UC Cohort.
Program Committee
- Bayu Adhi Tama, University of Maryland, Baltimore County
- Chris Amato, Northeastern University
- Ashwin Ashok , Georgia State University
- Julio, Bahamon, The University of North Carolina at Charlotte
- Jim Boerkoel, Harvey Mudd College
- Chris Brooks, University of San Francisco
- Laura Brown, Michigan Technological University
- Ida Camacho, Association for the Advancement of Artificial Intelligence
- Qinglei Cao, Saint Louis University
- Albert Chan, Fayetteville State University
- Francisco Cruz, ConfDNA
- Sanorita Dey, University of Maryland, Baltimore County
- John Dolan, Carnegie Mellon University
- Joshua Eckroth, Stetson University
- Markus Eger, Cal Poly Pomona
- Meredith Ellison, Association for the Advancement of Artificial Intelligence
- Memo Ergezer, Wentworth Institute of Technology
- Yunhe Feng, University of North Texas
- Lazaros Gallos, Rutgers University
- Osman Gani, University of Maryland, Baltimore County
- Manas Gaur, University of Maryland, Baltimore County
- Maria Gini, University of Minnesota
- Tejas Gokhale, Arizona State University
- Jason Grant, Villanova University
- Fahmida Hamid, New College of Florida
- Justin Hart, The University of Texas at Austin
- Lifang He, Lehigh University
- Tozammel Hossain, University of North Texas
- Hao Ji, Cal Poly Pomona
- George Luger, University of New Mexico
- Mirko Marras, University of Cagliari
- Lara Martin, University of Maryland, Baltimore County
- Mitsunori Ogihara, University of Miami
- Patricia Ordóñez, University of Maryland, Baltimore County
- Anna Rafferty, Carleton College
- Anita Raja, City University of New York
- Tj Schlueter, Union College
- Xanda Schofield, Harvey Mudd College
- Ashley Short, Association for the Advancement of Artificial Intelligence
- Devika Subramanian, Rice University
- Lisa Torrey, St. Lawrence University
- Eliana Valenzuela, University of Puerto Rico at Arecibo
- Rebecca Williams, University of Maryland, Baltimore County
- Sarah Zelikovitz, City University of New York
Thank you to the AAAI-24 UC Mentors
The AAAI 2024 Undergraduate Consortium thanks all the members of its mentors for their contributions.
Mentors
- Bayu Adhi Tama, University of Maryland, Baltimore County
- Jim Boerkoel, Harvey Mudd College
- Qinglei Cao, Saint Louis University
- Joshua Eckroth, Stetson University
- Yunhe Feng, University of North Texas
- Manas Gaur, University of Maryland, Baltimore County
- Maria Gini, University of Minnesota
- Tejas Gokhale, Arizona State University
- Jason Grant, Villanova University
- Lifang He, Lehigh University
- Hao Ji, Cal Poly Pomona
- Tozammel Hossain, University of North Texas
- Mirko Marras, University of Cagliari
- Lara Martin, University of Maryland, Baltimore County
- Manish Nagireddy, IBM
- Patricia Ordóñez, University of Maryland, Baltimore County
- Jorge Ortiz, Rutgers University
- Anita Raja, City University of New York
- Xanda Schofield, Harvey Mudd College
- Devika Subramanian, Rice University
- Rebecca Williams, University of Maryland, Baltimore County
For More Information
Inquiries concerning submissions and suggestions for the undergraduate consortium may be directed to the undergraduate consortium co chairs at aaai24ucchairs@aaai.org. All other inquiries should be directed to AAAI at aaai24@aaai.org.