Faculty

Dr.ChenangLiu

Chenang Liu, Assistant Professor

  • Ph.D. Industrial and Systems Engineering, Virginia Tech, 2019.

  • M.S. Statistics, Virginia Tech, 2017.

  • B.S. Mathematics (Statistics track), Zhejiang University, China, 2014.

  • B.S. Environmental and Resource Sciences, Zhejiang University, China, 2014


Ph.D. Students

Yuxuan

Yuxuan Li, Ph.D., minor in Mathematics (Graduated in Summer 2023)

  • Current Position: Assistant Professor in the School of Business at East China University of Science and Technology (华东理工大学)

  • BEc, Economics Statistics, Renmin University of China, China

  • E-mail: yuxuan.li@okstate.edu

  • Dissertation title: Adversarial Learning-Assisted Data Analytics in Manufacturing and Healthcare Systems

 


Zhangyue

Zhangyue Shi, Ph.D., minor in Statistics (Graduated in Summer 2023)

  • Current Position: Data Scientist at Bayer

  • BEng, Mechanical Engineering, Xi’an Jiaotong University, China

  • E-mail: zhshi@okstate.edu

  • Dissertation title: Advanced Data Analytics-based Quality Assurance for Smart Manufacturing

  • Personal website: Link

 


Emmanuel

Emmanuel Yangue, Ph.D. student

  • Expected to Graduate in Summer 2025

  • B.S., Petroleum Engineering (double Major in Economics), University of Louisiana at Lafayette, Lafayette, Louisiana

  • M.A., Applied Economics, University of Houston, Houston, TX

  • M.S., Industrial Engineering and Management, Oklahoma State University, Stillwater, OK

  • E-mail: eyangue@okstate.edu

  • Dissertation topic: AI-enabled Analytics for Smart Engineering Systems

 


Ziyang

Ziyang Zhang, Ph.D. student

  • Expected to Graduate in Summer 2025

  • BEng, Mechanical Engineering, Xi’an Jiaotong University, China

  • B.S., Business Administration, Xi’an Jiaotong University, China

  • E-mail: jan.zhang@okstate.edu

  • Dissertation topic: Artificial Intelligence for Complex Engineering System

 


Boris

Boris Oskolkov, Ph.D. student

  • Expected to Graduate in Fall 2025

  • B.S., Instrumentation Technology, Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russia

  • M.S., Instrumentation Technology, Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russia

  • E-mail: boris.oskolkov@okstate.edu

  • Dissertation Topic: Data Science for Advanced Manufacturing and Medical Systems

 


M.S. Thesis Students

Anastasiia

Anastasiia Oskolkova, M.S. thesis student

  • Expected to graduated in Summer 2025

  • B.S.(degree with honors), Business and Economics, Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russia

  • M.S.(degree with honors), High Technology and Economics of Innovation, Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russia

  • E-mail: anastasiia.oskolkova@okstate.edu

  • Thesis Topic: Efficient Machine Learning for Healthcare Data Analytics

 


Jacob

Jacob O’Hara, M.S. thesis student

  • Expected to graduate in Spring 2025

  • B.S., Industrial Engineering and Management, OSU, 2024

  • E-mail: jaohara@okstate.edu

  • Thesis Topic: Toward Early Diabetic Retinopathy Detection Assisted by Data Augmentation-enabled AI

 


Emmanuel

Emmanuel Yangue, M.S. thesis student (Graduated in July 2023)

  • Current position: PhD Student at Oklahoma State University

  • B.S., Petroleum Engineering (double Major in Economics), University of Louisiana at Lafayette, Lafayette, Louisiana

  • M.A., Applied Economics, University of Houston, Houston, TX

  • E-mail: eyangue@okstate.edu

  • Thesis title: Integrated Deep Learning-based Online Layer-wise Surface Predication of Additive Manufacturing

 


Ayse

Ayse Dogan, M.S. thesis student (Graduated in May 2021)

  • Current position: PhD Student at University of Illinois at Urbana-Champaign

  • BEng, Industrial Engineering, Antalya Bilim University, Turkey

  • BEc, Economics, Antalya Bilim University, Turkey

  • E-mail: adogan@okstate.edu

  • Thesis title: Data-Driven Modeling and Analysis for Cardiovascular Disease Risk Prediction and Reduction

 


Undergraduate Researcher

Ethan Patrick O’Connor (Fall 2023 - present)

  • B.S., Industrial Engineering and Management, OSU, ongoing

  • Project: Incorporating Effective Feature Extraction to Advance AI - Assisted Inhalation Therapy for Lung Disease

  • Supported by OSU CEAT Undergraduate Research Scholarship, Wentz Research Grant, as well as NSF and OCAST Projects

 


Sheridan Sherrer (Fall 2023 - present)

  • B.S., Industrial Engineering and Management, OSU, ongoing

  • Project: Fairness of Generative Model in Healthcare Application

  • Supported by OSU The Freshman Research Scholars Program

 


Jacob O’Hara (Spring 2022 - Spring 2024) (Graduated in May 2024)

  • Current position: MS Student at Oklahoma State University

  • B.S., Industrial Engineering and Management, OSU, 2024

  • Project: Toward Early Diabetic Retinopathy Detection Assisted by Data Augmentation-enabled AI

  • Supported by OSU CEAT Undergraduate Research Scholarship

 


Kent Slater (Fall 2022 - Spring 2023) (Graduated in May 2023)

  • Current position: Costing Analyst at ArcBest

  • B.S., Industrial Engineering and Management, OSU, 2023

  • Project: Intelligent Quality Assurance via Machine Learning

  • Supported by NSF REU Supplement

 


Andrew Bunting (Summer 2022 - Spring 2023)

  • B.S., Industrial Engineering and Management, OSU, ongoing

  • Project: Modeling and Simulation to Assist Effective Operation of Amusement Parks During Pandemics

  • Supported by Wentz Research Grant

 


Ashton Parkey (Spring 2023)

  • B.S., Industrial Engineering and Management, OSU, ongoing

  • Project: Ultrasound Image Analysis to Advance Cancer Treatment

  • Supported by OCAST Grant

 


Zoe Ward (Spring 2023)

  • B.S., Industrial Engineering and Management, OSU, ongoing

  • Project: Ultrasound Image Analysis to Advance Cancer Treatment

  • Supported by OCAST Grant

 


Group Gallery

To be added