phd in data science bgsu

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Data Science PhD Students

Jaryt Salvo

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)

Iman Khazrak

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

Aleksei Luchinsky

Expected Graduation Date: Spring 2025

Advisor: Dr. Umar Islambekov

Research Topic: Topology Data Analysis

Publications:

• 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

Jung Im "Amy" Choi

Expected Graduation Date: December 2024

Advisor: Dr. Qing Tian

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

• 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
• Jung Im Choi and Qing Tian, “Saliency and Location Aware Pruning of Deep Visual Detectors for Autonomous Driving,” Neurocomputing, under review.
• 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.
• 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.
• 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.
• 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.

Ryan Renken

Expected Graduation Date: Spring 2027

Advisor: TBD

Internships/Job Experience: N/A

Current Employer: Graduate Assistant at BGSU

Expected Graduation Date: Summer 2025

Research Topic:  Human-object Interaction Detection; Knowledge Graph

• 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

• Jingyi Su and Yan Wu, Optimizing Pre-trained Language Models for Efficient Vulnerability Detection in Code Snippets, ICCC 23
• Yan Wu, Jingyi Su, David D. Moran and Chris D. Near, Customized Security Triage from Analysis Tools: Current State of the Art, ICCC 23
• 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
• Jingyi Su, Mohd Arafat, Robert Dyer, Using consensus to automatically infer post-conditions, ICSE 18

Current Employer: Heidelberg University, Tiffin, OH

Expected Graduation Date: Spring 2026

Research Topic: Diffusion Model and Transfer Learning

Publications: N/A

Internships/Job Experience: First Solar, Perrysburg, OH

Current Employer: N/A

Department of Computer Science

Dr. Jong Kwan "Jake" Lee, Chair Department of Computer Science Bowling Green State University Bowling Green, OH 43403 [email protected]

Department Office Hayes 221 Bowling Green State University Bowling Green, OH 43403 419-372-2337 [email protected]

BGSU B.S. in Computer Science is accredited by the Computing Accreditation Commission of ABET, https://www.abet.org , under the commission’s General Criteria and Program Criteria for Computer Science.

BGSU B.S. in Software Engineering is accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org , under the commission’s General Criteria and Program Criteria for Software Engineering.

Updated: 06/28/2024 02:06PM

The M.S. in Data Science is a multidisciplinary program with expert faculty from three departments: Computer Science and Mathematics and Statistics, both in the College of Arts and Sciences, and Applied Statistics & Operations Research in the Schmidthorst College of Business. Graduates will be prepared to enter industry or begin Ph.D.-level work in Data Science, making the program a strong starting point for those interested in pursuing a Ph.D. in the field or furthering their career.

Learning Outcomes

Admission requirements.

Additional Documents required:

• Three Letters of Recommendation  from faculty or professionals who know you well
• Statement of Purpose

International applicants are required to submit scores from the Test of English as a Foreign Language (TOEFL), the International English Language Testing System (IELTS), or the Pearson Test of English Academic (PTEA). Successful completion of ELS 112 will also be accepted for this requirement.  Additionally, Duolingo test scores will be accepted for applications through Summer 2025. Applicants of the Graduate College who have completed a previous degree (associate, bachelor’s master’s or doctorate) from a U.S. college/university or are from a country (click  here  for a complete list) in which instruction was delivered in English (and attended the university for at least two years) are exempt from providing these test scores.

Application Requirements

Admissions Categories and Grade Point Average Requirements

International Application Information

Degree Requirements

Curriculum requirements, required courses (27 credits).

• CS 5200 - Artificial Intelligence Methods
• CS 5620 - Database Management Systems
• CS 6010 - Data Science Programming
• MATH 6410 - Probability Theory I
• MATH 6420 - Mathematical Statistics II
• OR 6610 - Linear and Integer Programming
• STAT 5020 - Regression Analysis
• STAT 5160 - Time Series Analysis
• STAT 6440 - Data Mining or
• CS 6440 - Data Mining

Culminating Experience (3 credits)

• DATA 6910 - Data Science Project

Minimum Total Credits (30 credits)

Additional requirements.

• Minimum 3.0 graduate cumulative grade point average
• Minimum of 18 credits must be at the 6000-level or higher
• Minimum of  24 credits must be earned at BGSU
• All requirements must be completed within six years from the end of the earliest course used to fulfill degree requirements.