Fall 2023 Data Science Poster Fair
We invite you to attend the Fall 2023 Data Science Poster Fair! This semester's event will be held in conjunction with the Department of Computer Science & Engineering's Research Showcase on Saturday, November 18 from 11:30 a.m. - 1 p.m. Learn more about the event.
As a part of their degree requirements, Data Science M.S. students conduct research under the direction of a faculty advisor culminating with a capstone project and poster presentation. Students presenting at this event will discuss details of their capstone project, including their driving question, methods, and results, and will be available to address questions and connect with guests during their time slot. Faculty from numerous departments across the University are affiliated with the data science graduate program, therefore a variety of areas are represented with each student’s capstone project.
The CS&E Research Showcase is a bi-annual event that features the collective works of students and faculty in the Department of Computer Science & Engineering. The event will feature over 60 posters, as well as a keynote addresses from Eugene Spafford, the founder and executive director of the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University, and Ed Chi, CS&E alumni award winner and Distinguished Scientist at Google.
This event is open to the public and all interested undergraduate and graduate students, alumni, staff, faculty, and industry professionals are encouraged to attend. To let us know you'll be joining us, please fill out our RSVP form below. We ask those who plan to attend to RSVP by Friday, November 10.
Fall 2023 Posters
| Aviral Bhatnagar Advisor: Jaideep Srivastava "Human-in-the loop Approach to enhance Urban Living" | Jingran Cao Advisor: Kristin Palmsten "Managing depression during pregnancy" | Colin Ornelas Advisor: Jie Ding "Using Machine Learning Methods to Predict Quarterback Fantasy Football Scores" |
| Zhecheng Sheng Advisor: Serguei Pakhomov "Explore Gender Bias in Dementia Detection with BERT" | Jonah Shi Advisor: Sisi Ma "Applying machine learning methods to identify predictors and causes for trauma related outcomes" | Nicole Sullivan Advisor: Erich Kummerfeld "It was all YELLOW: predicting depression in teenage students using a bi-Yearly Ensemble Learner with an Optimization Workflow" |