Undergraduate Consortium
Agenda (all times in CEST)
Social Event
Sunday, August 25th
| 2:45 PM – 8:30 PM | Cosmocaixa Museum of Science: Museum, Planetarium, and Dinner |
Poster Session
Tuesday, August 27th
| 6:30 PM – 9:30 PM | Poster Session |
General Program
Wednesday, August 28th
| Time | Activity |
|---|---|
| Morning Schedule | |
| 11:00 AM – 11:05 AM | Introduction |
| 11:05 AM – 11:25 AM | Ice-Breaker Event |
| 11:25 AM – 12:00 PM | Guest Speaker: Neil Shah, Research scientist and manager at Snap Research |
| 12:00 PM – 12:20 PM | Organizers Stories |
| 12:20 PM – 1:00 PM | Research Presentations Game |
| 1:00 PM – 2:00 PM | Lunch with mentors |
| Afternoon Schedule | |
| 2:00 PM – 3:00 PM | How to Thrive in Grad School – Panel of PhD Students +/- Organizers |
| 3:00 PM – 3:20 PM | Group Discussion on Research Impact |
| 3:20 PM – 4:00 PM | Preparing for a Career in Research – Panel of Academic and Industry Professionals Panelists: Petko Bogdanov, Associate Professor, Department of Computer Science, University at Albany Huzefa Rangwala, Professor, Department of Computer Science, George Mason University Ron Bekkerman, CTO, Cherre Jilles Vreeken, Researcher, CISPA Helmholtz Center for Information Security |
| 4:00 PM – 4:30 PM | Coffee Break |
| Joint Program UC and PhD Consortium | |
| 4:30 PM – 5:30 PM | Tutorial (Nikolaj Tatti, University of Helsinki) |
| 5:30 PM – 6:30 PM | Ph.D. Panel Discussion |
Accepted Papers
Note: All papers will be displayed during Tuesday’s poster reception.
- Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting, Sannidhi G N K Geethan (Indian Institute of Information Technology, Pune)*; Sagar Srinivas Sakhinana (Tata Research Development and Design Center); Venkataramana Runkana (Tata Consultancy Services Limited)
- Towards Split Learning-based Privacy-Preserving Record Linkage, Michail Zervas (University of Macedonia); Alexandros Karakasidis (University of Macedonia)*
- Agentic Retrieval-Augmented Generation for Time Series Analysis, Chidaksh Ravuru (Indian Institution of Technology, Dharwad)*; Sagar Srinivas Sakhinana (Tata Research Development and Design Center); Venkataramana Runkana (Tata Consultancy Services Limited)
- Bandit Convex Optimization with Unbounded Memory, Jiho Cha (Cornell University)*
- Securing Billion Bluetooth Low Energy Devices Using Cyber-Physical Analysis and Deep Learning Techniques, Hanlin Cai (National University of Ireland, Maynooth)*; Yuchen Fang (National University of Ireland, Maynooth); Jiacheng Huang (Fuzhou university); Liao Honglin (Fuzhou University); Meng Yuan (Chalmers University of Technology); Zhezhuang Xu (Fuzhou University)
- Towards a Novel Visual Evaluation of Algorithmic Bias: Insights on the Italian Academic System, Francesca Ciccarelli (Università degli Studi dell’Aquila)*; Andrea D’Angelo (University of L’Aquila); Giovanni Stilo (Università of L’ Aquila)
- Data-Driven Investigation of the Role of Educational Resources in Shaping Science Fair Projects, Daniel Verdi do Amarante (University of Richmond)*
- Deep Transformer for Intent Classifier, Connor Lee (NYU)*
- Enhancing Medical Transcription and Correction using transformer-based ASR and Fine-tuned LLM, Arryuann Khanna (Thapar Institute of Engineering and Technology)*; Vansh Batra (Thapar Institute of Engineering & Technology); Amit Agarwal (Indian Institute of Technology Roorkee)
- Snowy Scenes, Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions, Shivank Garg (Indian Institute of Technology,Roorkee)*; Abhishek Baghel (Indian Institute of Technology,Roorkee); Amit Agarwal (Indian Institute of Technology Roorkee); Durga Toshniwal (IIT Roorkee)
- AgriLLM: Harnessing Transformers for Farmer Queries, Krish Didwania (Manipal Institute of Technology)*; Pratinav Seth (Manipal Institute of Technology); Aditya Kasliwal (Manipal Institute of Technology); Amit Agarwal (Indian Institute of Technology Roorkee)
- SL4HOI: Supervised Learning for Predicting Health Opportunity Index across States, Zhiyuan Song (University of Virginia)*; Zihan Mei (University of Virginia); Liran Li (University of Virginia); N. Rich Nguyen (UVA)
- Summarization of Large Text Volumes Using Large Language Models, Adrián Navarro (UPF)*
- Exploring machine learning approaches for phenotype prediction of Huntington’s disease, Caterina Fuses (UB)*; Jordi Abante (Universitat de Barcelona); Josep Maria Canals (Universitat de Barcelona)
- Evaluating the Structural Awareness of Large Language Models on Graphs: Can They Count Substructures?, Ly H Nguyen (Dartmouth College)*; Yujun Yan (Dartmouth College)
- A Comparative Study of Deep Reinforcement Learning Models: DQN VS PPO VS A2C, Neil De La Fuente (Computer Vision Center, Universitat Autonoma de Barcelona)*; Daniel Vidal (Computer Vision Center, Universitat Autonoma de Barcelona); Jordi Casas Roma (Universitat Autònoma de Barceloana)
- Overfitting: A Foe to Many But a Friend to Overconfidence in the Stock Market, Margaret Beisenbek (Bentley University)*
- Optimizing Multichannel EEG Data: An Investigation of Current EEG Data Compression Methods, Andrews Damoah (University of Maryland – College Park)*; Teng Liang (Palo Alto High School)
- Characterizing usage of wearable device for sleep tracking among women in a real-world cohort from the All of Us Research Program, Xintong Li (University of Rochester)*; Dillon Dzikowicz (University of Rochester); Jian Kang (University of Rochester); Caitlin Dreisbach (University of Rochester)
- Enhancing EEG Data Quality: A Comprehensive Review of Outlier Detection and Cleaning Methods, Sofia Utoft (Boston College)*; Jingwen Dou (New York University); Jade Wu (Henry M. Gunn Senior High School)
- Optimizing The Literature Review Process: Evaluating Generative AI Models on Summarizing Undergraduate Data Science Research Papers, Tse Saunders (George Washington University)*; Nawwaf A Aleisa (George Washington Univeristy); Juliet Wield (George Washington University); Joshua A Sherwood (The George Washington University); Xiaodong Qu (George Washington University)
- Enabling Automated Fact Checking of Voting Related Claims Using Frame Semantic Parsing and Semantic Search, Rishabh Mediratta (The University of Texas at Arlington)*; Jacob Devasier (The University of Texas at Arlington); Chengkai Li (The University of Texas at Arlington)
- Towards Measuring Sell Side Outcomes in Buy Side Marketplace Experiments using In-Experiment Bipartite Graph, Vaiva Pilkauskaitė (Vilnius University)*; Rasa Giniūnaitė (Vilnius University); Jevgenij Gamper (Vinted); Agnė Reklaitė (Vinted)
- Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health, Guangkun Nie (Peking University); Shenda Hong (Peking University)*; Jun Li (Peking University)
Program Committee
Arun Bagavatihi (Oklahoma State University)
Luis Belanche (Universitat Politècnica de Catalunya)
Javier Borge (Universitat Oberta de Catalunya)
Younghyun Cho (Santa Clara University)
Ken Church (Northeastern University)
Magdalini Eirinaki (San Jose State University)
Shiva Jahangiri (Santa Clara University)
Andreas Kaltenbrunner (Universitat Oberta de Catalunya)
Ian Lane (University of California Santa Cruz)
Dongsheng Luo (Florida International University)
Carlos Rojas (San Jose State University)
Santi Seguí (Universitat de Barcelona)
Hossein Shirazi (San Diego State University)
Mahima Suresh (San Jose State University)
Farhan Tanvir (Oklahoma State University)
Ruben Van Genugten (Northeastern University)
Wencen Wu (San Jose State University)
