Undergraduate and Master’s Consortium
Social Event
Sunday, August 3rd, 2025 (EDT)
03:30 PM – 09:00 PM CN Tower or Toronto Railway Museum (TBA) and Dinner
Poster Session
Tuesday, August 5th, 2025(EDT)
05:45 PM – 08:00 PM Poster reception (Exhibit Hall F)
General Program
Wednesday, August 6th, 2025 (EDT)
Morning UMC-only schedule (8:15 AM – 10:15 AM) (Room 716 A):
08:15 AM – 08:20 AM Intro – 5 min
08:20 AM – 08:45 AM Ice-Breaker Event
08:45 AM – 09:30 PM How to Thrive in Grad School – Panel of PhD Students
09:30 AM – 09:45 AM Organizers Stories
09:45 AM – 10:15 AM Research Presentations Game
Lunch with mentors (12:00 PM – 1:00 PM)
Afternoon UMC-only schedule (1:00 PM – 3:00 PM) (Room 716 A):
01:00 PM – 01:30 PM Guest Speaker: “Learning from Mistakes,” Prof. Jian Pei, Duke University.
01:30 PM – 02:15 PM Group Discussion on Research Impact
02:15 PM – 03:00 PM Preparing for a Career in Research- Panel of Academic and Industry Professionals
03:00 PM – 03:30 PM Coffee Break
Afternoon Joint UMC-PhD Consortium schedule (3:30 PM – 5:30 PM) (Room 716 A):
03:30 PM – 04:00 PM Keynote talk by Prof. Ebrahim Bagheri, University of Toronto
04:00 PM – 05:30 PM Panel Discussion on “AI-Augmented Academia: Research Innovations and Career Planning for Tomorrow’s Workforce”
Preparing for a Career in Research Panelists
Andrew Tomkins, Engineering Director at Google
Faisal Farooq, Senior Director of Engineering at Pinterest
Yizhou Sun, Professor at UCLA
Tim Weninger, Professor at Notre Dame
PhD Student Panel
Jing Li, McMaster University, Canada
Adam Pazdor, University of Manitoba, Canada
Dazhuo Qiu, Aalborg University, Denmark
Beshani Weralupitiya, Rochester Institute of Technology (RIT), USA
Accepted Papers
Note: All papers linked below will be displayed during Tuesday’s poster reception.
- Attribute role in graph domain adaption, Chen Wang (Western University, Canada)
- Balancing image quality and attack effectiveness in multi-objective adversarial image generation, José Areia (Polythenic of Leiria, Portgual)
- Deepfake detection using spatiotemporal methods and vision-language models, Timothy Tong (Santa Clara University)
- Efficient large language models for modernizing early modern English texts, Hyun Roh (Virginia Tech)
- Enabling cross-device retinal biomarker alignment for generalizable oculomics using supervised space translation, Sparsh Rastogi (Thapar Institute of Engineering and Technology, India)
- Enhancing personalized learning with real-time data warehousing and linked open data integration for open knowledge domain, Thuy Trang Pham (Japan Advanced Institute of Science and Technology)
- Exploring deep learning and data representations for the prediction of erosion channels, Alexander Vu (Clark University)
- Find the culprit: query-driven tracing of cybersecurity vulnerabilities using Python’s PyPI dependencies, Cara Stievater (Rochester Institute of Technology)
- From theory to play: a review of EEG-controlled directional games and evaluation of custom-developed BCI games, Wensi Xie (New York University)
- Gender fairness and beyond: exploring academic hiring and career trajectories in computer science, Boi Huynh (University of Illinois Chicago)
- Geometry-aware active learning of pattern rankings via choquet-based aggregation, Tudor Opran (IMT Atlantique, France)
- Interest networks (iNETs) for cities: cross-platform insights and urban behavior explanations, Gustavo Santos (Universidade Tecnológica Federal do Paraná, Brazil)
- Learning to plan via supervised contrastive learning and strategic interpolation: a chess case study, Andrew Hamara (Baylor University)
- Leveraging machine learning to understand and predict student transfer in higher education, Keerthana Goka (Clark University)
- Optimizing memory bandwidth for efficient approximate nearest neighbor search, Teresa Zhang (Stanford University)
- PolluVCCT: multi-scale hybrid learning for robust air pollution forecasting across diverse climate zonesti-source data fusion, Yuhe Wu (Dongbei University of Finance and Economics, China)
- Predictive modeling and pattern mining for mental health disorders using data mining techniques, Samruddhi Kamble (IIT MADRAS, India)
- Product graph U-networks using temporal pooling for spatiotemporal imputation, Aman Atman (IIIT Hyderabad, India)
- SIFOTL: a principled, statistically-informed fidelity-optimization method for tabular learning, Shubham Mohole (Cornell University)
- Towards fairness for the right reasons: using saliency maps to evaluate bias removal in neural networks, Lukasz Sztukiewicz (Poznan University of Technology, Poland)
- Variance reduction in online marketplace A/B testing, Gabija Staponaitė (Vinted, Lithuania)
Program Committee Members
- Adam Pazdor, University of Manitoba
- Agoritsa Polyzou, Florida International University
- Ali Ebrahimpour Boroojeny, UIUC
- Baha Rababah, RRC Polytechnic
- Chuxiong Wu, George Mason University
- Dongsheng Luo, FIU
- Fan Jiang, UNBC
- Farhan Tanvir, Oklahoma State University
- Gheorghi Guzun, San Jose State University
- Hossein Shirazi, San Diego State University
- Krishna Ramamoorthy, Santa Clara University
- Ming Ming Tan, Augusta University
- Shiva Jahangiri, Santa Clara University
- Tathagata Mukherjee, University of Alabama Huntsville
- Wencen Wu, San Jose State University
- Xiao Li, Santa Clara University
- Younghyun Cho, Santa Clara University
- Yushun Dong, Florida State University
