Yingyan Zeng

Yingyan Zeng

Assistant Professor

University of Cincinnati

Research & Biography

Hello, I am an assistant professor in the Department of Mechanical and Materials Engineering at the University of Cincinnati, where I lead the Data-Centric Intelligence Lab. I received the Ph.D. degree in the Grado Department of Industrial and Systems Engineering at Virginia Tech under the supervision of Prof. Ran Jin.

My research focuses on creating a data quality assurance paradigm to enable effective AI modeling performance in the manufacturing industrial internet. Data generation, data acquisition, data valuation, and data sharing methods have been investigated for AI models with applications in additive manufacturing, bio-manufacturing, semiconducting, and IoT infrastructure design, where statistical and machine learning models as well as optimization methods are heavily used.

I also conduct research in interpretable machine learning, predictive modeling with statistical models, and supply chain optimization using operations research.

    Interests

  • Data Quality
  • Data Valuation
  • Data Sharing and Exchange
  • Manufacturing Industrial Internet
  • Healthcare Systems
  • Statistical Learning and Machine Learning

Education

  • PhD in Industrial and Systems Engineering, 2019 - 2024
    Virginia Tech
  • Master in Computer Engineering, 2021 - 2024
    Virginia Tech
  • Bachelor in Industrial and Systems Engineering, 2015-2019
    Shanghai Jiao Tong University

Research Projects

  • Ongoing Industry Project
    Tacit Domain Knowledge and AI-Driven Reinforcement Learning Framework for Factory Operations and Process Optimization
    MME Industry 4.0/5.0 Institute. Collaborating with Prof. Sam Anand . Period: Apr. 2025 – Dec. 2025, with work continuing into 2026 to develop a knowledge-capture and continual-learning framework with an agentic AI backbone for factory operations and process optimization.
  • Human Digital Twin
    Human digital twin modeling via data synthesis and generative AI, in collaboration with UC Health, to support personalized and adaptive decision making in healthcare systems.
  • Thermal Systems Data Hub
    Data hub for thermal systems focused on data quality improvement, data valuation, and data sharing, in collaboration with Prof. Ying Sun and Prof. Han Hu.

People & Opportunities

  • Current Graduate Students
    Avranshu Mahanty, Ph.D. student – data quality and continual learning for resilient AI in manufacturing.
    Haicheng (Chris) Wang, Ph.D. student – tacit knowledge modeling and disease progression modeling.
  • Undergraduate Researchers
    Jayci Nguyen – research co-op on the tacit knowledge project.
  • Looking for Students
    I am looking for highly motivated graduate students who are excited about data-centric AI, manufacturing industrial internet, and healthcare systems. If you are interested, please email me at zengyy@ucmail.uc.edu with your CV and a brief statement of your research interests.

Publications

Experience

 
 
 
 
 
Assistant Professor
University of Cincinnati
Aug 2024 – Present Cincinnati, OH
 
 
 
 
 
Graduate Research Assistant
Virginia Tech
Sep 2019 – Aug 2024 Blacksburg, VA
 
 
 
 
 
Research Scientist Intern
ABB Ltd
Sep 2023– Dec 2023 Raleigh, NC
 
 
 
 
 
Operations Research Analyst Internship
Eastman Chemical Ltd
Jun 2018– Sep 2018

Teaching

  • Instructor
    [1] Introduction to Industry 5.0. 2026 Spring .
    [2] ISE 2024, Probability Foundations for ISE. 2023 Summer .

  • Graduate Teaching Assistant
    [1] ISE 2214, Manufacturing Processes Laboratory. 2021 Fall, 2022 Spring .
    [2] ISE 4404, Statistical Quality Control. 2020 Fall .
    [3] ISE 2034, Data Management for Industrial Engineers. 2021 Spring .
    [4] ISE 3124, Facilities Planning and Material Handling. 2021 Summer .

Service

  • Technical Committee
    IEEE RAS on Digital Manufacturing and Human-centered Automation. Sep.2023 - Present .
  • Workshop Committee
    ASME Working Group on Robotic Arm Accuracy. Jul.2025 - Present .
  • Program Committee
    IEEE Big Data 2026 Sep.2025 - Nov.2025 .
  • VP Marketing and Finance
    INFORMS VT Student Chapter. Aug.2020 - May.2023 .
  • Journal Article Reviewers
    IEEE Transactions on Automation Science and Engineering.
    ASME Journal of Computing and Information Science in Engineering.
    INFORMS Journal on Computing
    Journal of Statistical Computation and Simulation.
    IISE Transactions.
    Journal of Manufacturing Systems.
    Journal of Manufacturing Science and Engineering.

Skills

Python

Pandas + NumPy + Plotly

Machine/Deep Learning

PyTorch + Tensorflow + Scikit-learn

Operations Research

Gurobi + CPLEX + CVXOPT

R
SQL
IoT
Git