Large Scale Integrated Photonics Lab @ University of Michigan.

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I am a Ph.D. student at the University of Michigan’s Electrical & Comptuer Engineering department, working on silicon and integrated photonics, with a focus on machine learning–driven photonic device design, including inverse design and fabrication-aware optimization.

Previously, I completed my undergraduate degrees at the University of California, Berkeley in Electrical Engineering & Computer Science and Materials Science & Engineering (EECS Honors). I have industry experience as a Materials Engineering Intern at Apple, Software Engineering Intern at Amazon Web Services, and Modeling & Characterization Intern at STMicroelectronics. My publications are available on Google Scholar.

Info: junhop@umich.edu · LinkedIn

selected publications

  1. AAAI Workshop
    Towards Explainable Inverse Design for Photonics via Integrated Gradients
    Junho Park*, Taehan Kim*, and Sangdae Nam
    arXiv preprint arXiv:2510.22176, 2025
  2. Science Advances
    Highly multicolored light-emitting arrays for compressive spectroscopy
    Vivian Wang, Shiekh Zia Uddin, Junho Park, and 1 more author
    Science Advances, 2023
  3. ACS Catalysis
    Importance of Site Diversity and Connectivity in Electrochemical CO Reduction on Cu
    Chansol Kim, Nitish Govindarajan, Sydney Hemenway, and 8 more authors
    ACS Catalysis, 2024
  4. IEEE IEMENTech
    Accuracy Analysis of Classical Lamination Theory and Finite Element Method for Fiber Reinforced Composites under Thermomechanical Loading
    Junho Park and Behnam Ahmadikia
    In 2020 4th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), 2020
  5. IEEE IREC
    Investigation on Addition of Neodymium Magnets in Hydrometallurgical Citric Acid Leaching of Rare Metals from Spent Lithium-ion Cells
    Junho Park
    In 2020 11th International Renewable Energy Congress (IREC), 2020
  6. IEEE IAEAC
    Predicting stock closing price after COVID-19 based on sentiment analysis and LSTM
    Christopher Chou, Junho Park, and Eric Chou
    In 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2021
  7. IEEE ICACI
    Generating high-resolution climate change projections using super-resolution convolutional LSTM neural networks
    Christopher Chou, Junho Park, and Eric Chou
    In 2021 13th International Conference on Advanced Computational Intelligence (ICACI), 2021
  8. IEEE ICMIMT
    An In-depth Study of Optimization of Glass-Epoxy Unidirectional Fiber-Reinforced Laminated Composites Under Mechanical Loading
    Junho Park and Christopher Chou
    In 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT), 2021