| Time | Undergraduate Consortium | Ph.D. Consortium |
| 10:00 – 10:30 | Opening Remarks and Ice-breaker | Introduction |
| 10:30 – 11:00 | Student Elevator Pitch Session I | Ph.D. lightning talks and oral presentation |
| 11:00 – 11:30 | Undergraduate Consortium Panel Discussion | |
| 11:30 – 12:00 | Student Elevator Pitch Session II | Mentoring session |
| 12:00 – 13:30 | Lunch with Mentors | Lunch |
| Afternoon Joint Program | ||
| 13:30 – 14:00 | Keynote (Christopher C. Yang, National Science Foundation, CISE/IIS) | |
| 14:10 – 14:40 | Keynote (Qi Li, Iowa State University) | |
| 14:50 – 15:20 | Keynote (Weihua Hu, Kumo AI, Stanford University) | |
| 15:30 – 16:00 | Coffee Break | |
| 16:00 – 16:30 | Ph.D. Panel Discussion |
Undergraduate Consortium
Accepted Papers
- Domain-Specific Extractive Question Answering from Material Science Literature Anagha Savit (IIT Bombay); Vidushi Verma (IIT Bombay); Aruja Khanna (IIT Bombay) Are They What They Claim: A Comprehensive Study of Ordinary Linear Regression Among the Top Machine Learning Libraries in Python Samuel E Johnson (Indiana University); Joshua M Elms (Indiana University); Madhavan Kalkunte Ramachandra (Indiana University); Keerthana Sugasi (Indiana University); Parichit Sharma (Indiana University); Hasan Kurban (Indiana University); Mehmet Dalkilic (Indiana University)
- Are They What They Claim: A Comprehensive Study of Ordinary Linear Regression Among the Top Machine Learning Libraries in Python Samuel E Johnson (Indiana University)*; Joshua M Elms (Indiana University); Madhavan Kalkunte Ramachandra (Indiana University); Keerthana Sugasi (Indiana University); Parichit Sharma (Indiana University); Hasan Kurban (Indiana University); Mehmet Dalkilic (Indiana University)
- Abnormal Trading Detection in the NFT Market Mingxiao Song (Georgia Institute of Technology); Yunsong Liu (Georgia Institute of Technology) AReS: An AutoML Regression Service for Data Analytics and Novel Data-centric Visualizations Joshua M Elms (Indiana University); Samuel E Johnson (Indiana University); Madhavan Kalkunte Ramachandra (Indiana University); Keerthana Sugasi (Indiana University); Parichit Sharma (Indiana University); Hasan Kurban (Indiana University); Mehmet Dalkilic (Indiana University)
- AReS: An AutoML Regression Service for Data Analytics and Novel Data-centric Visualizations Joshua M Elms (Indiana University)*; Samuel E Johnson (Indiana University); Madhavan Kalkunte Ramachandra (Indiana University); Keerthana Sugasi (Indiana University); Parichit Sharma (Indiana University); Hasan Kurban (Indiana University); Mehmet Dalkilic (Indiana University)
- Enhancing Food Composition Databases: Predicting Missing Values via Knowledge Graph Embeddings Marko Možina (Faculty of Computer and Information Science, University of Ljubljana); Slavko Zitnik (University of Ljubljana); Barbara Koroušić Seljak (Jozef Stefan Institute); Tome Eftimov (Jozef Stefan Institute) Topic Modeling in Cardiovascular Research Publications Edgar M Navarro (San Diego State University ); Hajar Homayouni (San Diego State University)
- Topic Modeling in Cardiovascular Research Publications Edgar M Navarro (San Diego State University )*; Hajar Homayouni (San Diego State University)
- Predicting Time to Pushback of Flights in U.S. Airports Daniil Filienko (University of Washington, Tacoma); Yudong Lin (University of Washington, Tacoma ); Kyler Robison (University of Washington, Tacoma ); Trevor Tomlin (University of Washington, Tacoma ); Martine De Cock (University of Washington Tacoma)” Sensor Placement for Learning on Networks Arnav Burudgunte (Rice University); Arlei Silva (Rice University)
- Sensor Placement for Learning on Networks Arnav Burudgunte (Rice University)*; Arlei Silva (Rice University)
- ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data Ruiqi Yang (University of California Santa Barbara); Eric J Modesitt (University of Illinois at Urbana Champaign) Recommendation Algorithms to Increase Network Fairness Naisha Agarwal (UCLA)
- Recommendation Algorithms to Increase Network Fairness Naisha Agarwal (UCLA)*
- Extracting Features for Computational Thinking from Block-Based Code Param Damle (University of Virginia); Jo Watts (University of Virginia); Glen Bull (University of Virginia); N. Rich Nguyen (UVA) Adaptive Resolution Loss: An Efficient and Effective Loss for Time Series Self-Supervised Learning Framework Kevin Garcia (University of Texas Rio Grande Valley); Juan Perez (University of Texas Rio Grande Valley); Yifeng Gao (The University of Texas Rio Grande Valley)
- Adaptive Resolution Loss: An Efficient and Effective Loss for Time Series Self-Supervised Learning Framework Kevin Garcia (University of Texas Rio Grande Valley)*; Juan Perez (University of Texas Rio Grande Valley); Yifeng Gao (The University of Texas Rio Grande Valley)
- Exploring Spectral Bias in Time Series Long Sequence Forecasting Kofi Nketia Ackaah-Gyasi (University of Texas Rio Grande Valley); Sergio Valdez (University of Texas Rio Grande Valley); Yifeng Gao (The University of Texas Rio Grande Valley); Li Zhang (George Mason University) Trends in Electroencephalogram (EEG) Classification using Machine Learning: A Review for Undergraduate Researchers Nathan K Murungi (Swarthmore College); Michael V Pham (Swarthmore College); Xufeng Dai (Haverford College); Xiaodong Qu (Swarthmore College)
- Trends in Electroencephalogram (EEG) Classification using Machine Learning: A Review for Undergraduate Researchers Nathan K Murungi (Swarthmore College)*; Michael V Pham (Swarthmore College); Xufeng Dai (Haverford College); Xiaodong Qu (Swarthmore College)
- Deep Embedded Clustering for Unsupervised Motor Imagery Feature Learning Tekin C Gunasar (UCSD)*
- Analyzing Biases in AU Activation Estimation Toward Fairer Facial Expression Recognition Miguel J Monares ( UC San Diego); Yuan Tang (UC San Diego); Ritik Raina (UC San Diego); Virginia de Sa (UC San Diego) Convolutional Knowledge Graph Link Prediction with Reshaped Embeddings Yanhong Li (The University of Chicago)
- Convolutional Knowledge Graph Link Prediction with Reshaped Embeddings Yanhong Li (The University of Chicago)*
Program Committee
- Agoritsa Polyzou (Florida International University)
- Ali Ebrahimpour Boroojeny (University of Illinois, Urbana-Champaign)
- Arunkumar Bagavathi (Oklahoma State University)
- Chuxiong Wu (George Mason University)
- Farhan Tanvir (Oklahoma State University)
- Kai Li (San Diego State University)
- Khaled Mohammed Saifuddin (Georgia State University)
- Li Zhang (George Mason University)
- Mehmet Aktas (University of Central Oklahoma)
- Ming Ming Tan (Augusta University)
- Muhammad Ifte Khairul Islam (Oklahoma State University)
- Mutlu Mete (Texas A & M University – Commerce)
- Peter Rankel (University of Maryland)
- Tathagata Mukherjee (University of Alabama)
- Huntsville Tolga Ensari (Arkansas Tech University)
- Yi Fang (Santa Clara University)
- Yijun Tian (University of Notre Dame)
- Yushun Dong (University of Virginia)