Spring 2024 Data Science Poster Fair
There will be two, one hour long sessions, and student presenters will only need to present for one of the two sessions.
Spring 2024 Posters
Jashwin Acharya Advisor: Wei Pan, School of Public Health "Use of a large language model for few-shot learning to predict dementia" | Aviral Bhatnagar Advisor: Jaideep Srivastava, Department of Computer Science and Engineering "Genome Sequencing" | Jiahao He Advisor: Erich Kummerfeld, Institute for Health Informatics "Data processing, and predictive and causal modeling, to describe and understand MN K-12 health and education outcome disparities in a local school district" |
Jooyong Lee Advisor: Erich Kummerfeld, Institute for Health Informatics "Causal inference to identify factors contributing to a decrease in student's GPA" | Hahnemann Ortiz Advisor: Daniel Boley, Department of Computer Science and Engineering "Convergence of AI and DLT" | Jong Inn Park Advisor: Dongyeop Kang, Department of Computer Science and Engineering "Graphical Text Summarization Using Generative AI" |
Hari Veeramallu Advisor: Junaed Sattar, Department of Computer Science and Engineering "Study the feasibility of generating a top-down view of an Underwater Robot given an input stream from n RGB camera sensors." | Tianhong Zhang Advisor: Tianxi Li, School of Statistics "TBD" |
Venkata Sai Krishna Abbaraju Advisor: Jaideep Srivastava, Department of Computer Science and Engineering "Reviving lost data: Applying ML to impute missing data in factory datasets" | Dinesh Reddy Challa Advisor: William Northrop, Department of Mechanical Engineering "Influence of Snowfall on the Fuel Consumption of Winter Maintenance Vehicles" | Amrutha Shetty Jayaram Shetty Advisor: Dongyeop Kang, Department of Computer Science and Engineering "Bridging AI Dimensions: Small Model Precision Meets Large Model Depth in Therapy" |
Rahul Mehta Advisor: Erich Kummerfeld, Institute for Health Informatics "Causal Discovery Analysis on Bipolar Disorder Patients" | Sam Penders Advisor: Vuk Mandic, School of Physics and Astronomy "LIGO All-Sky Long-Duration Transient Search Using Deep Learning" | Eric Trempe Advisor: Tianxi Li, School of Statistics "Predicting Patient Cancer Types Through Medical Measures" |
Keith Willard Advisor: Xiaotong Shen, School of Statistics "Using BART generative synthetic data to improve BERT parsing of patient prescription instructions." | Linjun Xia Advisor: Erich Kummerfeld, Institute for Health Informatics "A Correlation and Causality Study of Student Behavioral Conditions with Health and Achievement in Hopkins public schools" |