Data Science PhD Students

Expected Graduation Date: 2028-2029

Advisor: Dr. Eric Cooke

Research Topic: TBD

Publications: None

Internships/Job Experience: NASA (2012), YALI (2017), TEA (2018), Oklahoma City Math Camp (2020)

Current Employer: College of Health and Human Services (Center for Justice Research)

Expected Graduation Date: 2028

Advisor: Dr. Shuteng Niu

Research Topic: Transfer Learning, Image generation, Neural Symbolic

Publications: List at Google Scholar

Internships/Job Experience: Data Scientist, First Solar, Summer 2023

Current Employer: BGSU

Expected Graduation Date: Spring 2025

Advisor: Dr. Umar Islambekov

Research Topic: Topology Data Analysis

Publications:

1. Kit C Chan, Umar Islambekov, Alexey Luchinsky, Rebecca Sanders, "A computationally efficient framework for vector representation of persistence diagrams", Journal of Machine Learning Research, 2022, 1-33

Internships/Job Experience:

• Adjunct instructor, Calculus/Discrete Math/Business Calculus/Physics/Predictive statistics, BGSU
• Software Developer, Senico Corporation, Bowling Green, Ohio

Current Employer: Student Success Analytics and Technologies at BGSU

Expected Graduation Date: December 2024

Advisor: Dr. Qing Tian

Research Topic: Enhancing Object Detection and Adversarial Robustness through Deep Network Pruning

Publications:

1. Qizhen Lan*, Jung Im Choi*, and Qing Tian, “Aligning Location-aware Discriminants for Structured Pruning of Deep Visual Detectors,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, under review. (*: equal contributions
2. Jung Im Choi and Qing Tian, “Saliency and Location Aware Pruning of Deep Visual Detectors for Autonomous Driving,” Neurocomputing, under review.
3. Jung Im Choi and Qing Tian, “Visual-Saliency-Guided Channel Pruning for Deep Visual Detectors in Autonomous Driving,” IEEE Intelligent Vehicles Symposium (IV), 2023, pp. 1-6.
   
4. Jung Im Choi and Qing Tian, “Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios,” IEEE Intelligent Vehicles Symposium (IV), 2022, pp. 1011-1017.
   
5. Jung Im Choi, Jinha Lee, Arthur Yeh, Qizhen Lan, and Hyojung Kang, “Spatial Clustering of Heroin-Related Overdose Incidents: A Case Study in Cincinnati, Ohio,” BMC Public Health, 2022, 22(1):1253.
   
6. Jinha Lee, Jung Im Choi, Arthur Yeh, Qizhen Lan, and Hyojung Kang, “Geospatial Clustering Analysis on Drug Abuse Emergencies,” Hawaii International Conference on System Sciences (HICSS) 2022, pp. 5715-5724.

Expected Graduation Date: Spring 2027

Advisor: TBD

Research Topic: TBD

Publications: None

Internships/Job Experience: N/A

Current Employer: Graduate Assistant at BGSU

Expected Graduation Date: Summer 2025

Advisor: Dr. Shuteng Niu

Research Topic: Human-object Interaction Detection; Knowledge Graph

Publications:

1. SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection(ICDMW2023)

Internships/Job Experience: None

Current Employer: Dr. Niu and Office of Institutional Research at BGSU

Expected Graduation Date: Spring/Summer 2025

Advisor: Dr. Yan Wu

Research Topic:  Transfer Learning for Vulnerability Detection

Publications:

1. Jingyi Su and Yan Wu, Optimizing Pre-trained Language Models for Efficient Vulnerability Detection in Code Snippets, ICCC 23
2. Yan Wu, Jingyi Su, David D. Moran and Chris D. Near, Customized Security Triage from Analysis Tools: Current State of the Art, ICCC 23
3. Jingyi Su, Shan He and Yan Wu, Features Selection and Prediction for IoT Attacks in High-Confidence Computing Volume 2, Issue 2, June 2022, 100047
4. Jingyi Su, Mohd Arafat, Robert Dyer, Using consensus to automatically infer post-conditions, ICSE 18

Internships/Job Experience: None

Current Employer: Heidelberg University, Tiffin, OH

Expected Graduation Date: Spring 2026

Advisor: Dr. Shuteng Niu

Research Topic: Diffusion Model and Transfer Learning

Publications: N/A

Internships/Job Experience: First Solar, Perrysburg, OH

Current Employer: N/A