Spring 2024 Data Science Poster Fair
We invite you to attend the Spring 2024 Data Science Poster Fair! This year's event will be held on April 19th from 10 am -12 pm in the ABC room at the Campus Club in Coffman Memorial Union.
Every year, data science M.S. students present their capstone projects during this event as a part of their degree requirements.
The poster fair is open to the public and all interested undergraduate and graduate students, alumni, staff, faculty, and industry professionals are encouraged to attend.
See below for this semester's presenters and capstone project topics.
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 "Identifying Health Condition Factors that Impact K-12 Education Outcomes" |
Jooyong Lee Advisor: Erich Kummerfeld, Institute for Health Informatics "Exploring Health-Related Determinants of Student's Academic Performance: A Causal Inference Approach Using the DoWhy Python Library" | 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 "Comparative Analysis of Deep Learning and Stacking Methods for Link Prediction in Network Data" | Shifa Siddiqui Advisor: Rui Zhang, Department of Surgery "Leveraging Natural Language Processing to Analyze Healthcare Data" |
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 "Transdiagnostic causal models of relationships among manic and depressive symptoms in mania, depression, mixed state, and euthymia" | 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" | SriHarshitha Anuganti Advisor: Rui Zhang, Department of Surgery "Development of dementia in patients who underwent bariatric surgery" |