Ron(Rongyu) Lin | Clark University

Visiting Assistant Professor at Department of Computer Science, Clark University. ronlin@clarku.edu

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MACD 332, Department of Computer Science

Clark University

950 Main Street

Worcester, MA 01610

I am Ron(Rongyu) Lin, currently a Visiting Assistant Professor in Department of Computer Science at Clark University.

I received my Ph.D. in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST) and an MBA with STEM concentration in Data Science from Santa Clara University. Before joining Clark, I was the Principal Data Scientist at Capital One.

My research interests lie in the intersection of artificial intelligence and its applications across different domains. My current research focuses on:

  • Multi-fidelity and Multi-agent Interactive Engineering: Integration of large language models (LLMs) with domain-specific data (imaging, spectroscopy, electrical measurements) and specialized learning agents for intelligent semiconductor design and optimization.
  • Computational Materials Discovery: Development of multi-fidelity tools for atomic-level material properties prediction and device-scale optimization
  • Intelligent Design Automation: Building knowledge-augmented frameworks for semiconductor system modeling and optimization
  • AI Cross-domain Applications: Leveraging AI/ML solutions across finance, education, healthcare, and other industrial sectors

My research has been published in prestigious journals and conferences proceedings including Nature Communications, Journal of Physics, Journal of Materials Chemistry C, and ACL. I actively contribute to the scientific community as a reviewer or committee member for Transactions on Computational Science, Applied Intelligence, and Engineering Applications of Artificial Intelligence.

I am looking for highly motivated students who are interested in AI/ML applications in semiconductor design and computational materials science. If you are passionate about developing machine learning frameworks for scientific discovery, please email me your CV and research interests.

I am open to research collaborations and discussions. Please feel free to reach out via email!

News

Mar 17, 2025 🎉 Thrilled to welcome three new undergraduate researchers to our lab: Lucian Terhorst, Samar Khoso, and Matthew Zaluski! Looking forward to their contributions to our research projects.
Mar 10, 2025 🎉 Excited to announce I’m guest editing a Special Issue on “Trends and Applications of Distributed Artificial Intelligence (AI) and Associated Systems” for the MDPI journal Electronics! Interested in contributing? Check out the Special Issue page for more details. Submissions welcome! 📚🤖
Nov 24, 2024 🎉 Excited to welcome Kendall, an undergraduate researcher, to our group!
Nov 07, 2024 Excited to be a collaborator on “Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities”, now available on arXiv! 🤝 Our work explores how academic peer review data can enhance LLMs’ long-context capabilities. 📚
Sep 27, 2024 🎉 Excited to welcome Kadin, an undergraduate researcher, to our group! He will be working on Applied AI applications in semiconductor devices.

Selected Publications

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    Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities
    S Li, K Kampa, R Lin, and 2 more authors
    arXiv preprint arXiv:2411.05232, 2024
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    Multi-modal preference alignment remedies degradation of visual instruction tuning on language models
    S Li, R Lin, and S Pei
    Proceedings of ACL, 2024
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    High-performance van der Waals antiferroelectric CuCrP2S6-based memristors
    Y Ma, Y Yan, L Luo, and 8 more authors
    Nature Communications, 2023
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    A machine learning study on superlattice electron blocking layer design for AlGaN deep ultraviolet light-emitting diodes using the stacked XGBoost/LightGBM algorithm
    R Lin, Z Liu, P Han, and 7 more authors
    Journal of Materials Chemistry C, 2022
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    BAlN alloy for enhanced two-dimensional electron gas characteristics of GaN/AlGaN heterostructures
    R Lin, X Liu, K Liu, and 3 more authors
    Journal of Physics D: Applied Physics, 2020