Ron(Rongyu) Lin | Clark University
Visiting Assistant Professor at Department of Computer Science, Clark University. ronlin@clarku.edu
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
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. |
Aug 26, 2024 | 👨‍🏫 I officially begin my role as a Visiting Assistant Professor in the Department of Computer Science at Clark University. |
Selected Publications
- Abstract2Appendix: Academic Reviews Enhance LLM Long-Context CapabilitiesarXiv preprint arXiv:2411.05232, 2024
- Multi-modal preference alignment remedies degradation of visual instruction tuning on language modelsProceedings of ACL, 2024
- High-performance van der Waals antiferroelectric CuCrP2S6-based memristorsNature Communications, 2023
- A machine learning study on superlattice electron blocking layer design for AlGaN deep ultraviolet light-emitting diodes using the stacked XGBoost/LightGBM algorithmJournal of Materials Chemistry C, 2022
- BAlN alloy for enhanced two-dimensional electron gas characteristics of GaN/AlGaN heterostructuresJournal of Physics D: Applied Physics, 2020