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Group Members

Weizhi Lin
Ph.D. Student

Image of Weizhi Lin
Chris Henson
Ph.D. Student

Image of Christopher Henson
Minghao Gabriel Gu
Ph.D. Student

Image of Gabriel Gu

Current Ph.D. Students

  • Chris Henson – 2019
  • Weizhi Lin – 2019
  • Minghao Gabriel Gu – 2021
  • Muming Zhang, 2024
  • Peng Wang, 2024

Post-doc Research Fellow

Visiting Scholars:

  • Dr. Sang Hun Lee, KCC Corporation, Feb 1, 2020 to Jan 31, 2022.
  • Mengqi Fan, PhD student, Department of Industrial Engineering, Tsinghua University,  April to October, 2019
  • Ivanna Baturynska, PhD fellow in Additive Manufacturing, Department of Manufacturing and Civil Engineering, Norwegian University of Science and Technology, October to December, 2019

Undergraduate Researchers

  • Akash Anand (MIT CS), Summer 2023
  • Rachel Xu, ISE REU, USC, 2023
  • Kevin Sun, USC Viterbi CURVE Fellow, NSF REU,  Summer 2020 – 2022.
  • Yilin Zhu (ISE), Chengxi Xu (CS), and Rachel Xu (ISE), summer 2022
  • Catherine Tsai, USC Viterbi CURVE Fellow, Fall 2020 – Present
  • Austin James Barrow (Purdue University – Honors Aerospace Engineering), Summer 2019, 2020, 2021
  • Mandy Hartman (USC – Chemical Engineering) Summer 2020
  • Jiyoon Park (USC – Cognitive Science) – Summer 2020
  • Donggyun Kim (Korea Aerospace University – Aeronautical and Mechanical Engineering) – Summer 2019
  • Byungjoon Park (Korea Aerospace University – Aeronautical and Mechanical Engineering) – Summer 2019
  • Weizhi Lin (Beihang University, China – Statistics) – Summer 2018

Alumni

  1. Hui Wang, PhD, 2007, USF,  “Error Equivalence Theory for Manufacturing Process Control” . Current position: Associate Professor, Florida State University, 2014 ~ present.
  2. Xi Zhang, PhD,  December, 2009, USF,  “Statistical and Physical Analysis of Functional Process Variables for Process Control in Semiconductor Manufacturing”. Current position: Associate Professor with tenure, Industrial Engineering & Management Department, Peking University, China.
  3. Lijuan Xu, PhD, December 2013, “Nanostructure Interaction Modeling and Estimation for Scalable Nanomanufacturing.” Current position: Senior Analyst, Google, CA.
  4. Li Wang, PhD, December 2013, “Modeling and Analysis of Nanostructure Growth Process Kinetics and Variations for Scalable Nanomanufacturing.” Current position: Director at Liberty Mutual Insurance, Boston, MA.
  5. Yanqing Duanmu, August 2017, “Some Scale-up Methodologies for Advanced Manufacturing”. Current Position:  Data Scientist, Apple Inc.
  6. He Luan, May 2018, “Statistical Modeling and Machine Learning for Shape Accuracy Control in Additive Manufacturing”. Current Position: Software Engineer in Machine Learning, Google, CA. (previously as a Research Scientist,  HP Labs at Palo Alto, CA.)
  7. Yuan Jin,  December 2018, “Statistical Modeling and Process Data Analytics for Smart Manufacturing” (Co-advising with Prof. Joe Qin). Current Position: Data Scientist, Facebook, CA.
  8. Nathan Decker, March 2022, “Machine Learning-Driven Deformation Prediction and Compensation for Additive Manufacturing ”. Current position: System Engineer, ExoAnalytic Solution.
  9. Yuanxiang Wang, May 4, 2022, “Fabrication-Aware Machine Learning for Accuracy Control in Additive Manufacturing”. Current position: Assistant Professor, School of Mechanical Engineering, TongJi University.
  10. Dr. Cesar Ruiz (post-doc research fellow: 09/2020-06/2022), Current position: Assistant Professor, School of Industrial Engineering, University of Oklahoma.
University of Southern California