members

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!

Carol is a Graduate Research Assistant from Department of Business at Clark University. She is passionate about applying advanced machine learning techniques to solve real-world challenges and contributing to innovative research.

Her current work focuses on exploring how large language models (LLMs) can simulate human social, psychological, and behavioral patterns, including commercial interactions. Carol is particularly interested in interdisciplinary collaborations that integrate AI/ML with domain-specific knowledge.

Kadin Reed is a second-year undergraduate student majoring in Computer Science at Clark University. As a Research Assistant, he is involved in developing machine learning models for device performance optimization and material characterization. His work focuses on leveraging AI techniques to address real-world challenges in technology and computational materials science.

Recently, Kadin has contributed to projects such as developing predictive models for renewable energy systems. This includes forecasting kilowatt-hour production for the Clark University NanoGrid and monitoring solar panel battery health to enhance performance and efficiency.

Outside of academics and research, Kadin enjoys playing basketball, combining teamwork and strategy both on and off the court.

Kendall Lisa Codjoe (she/her) is a freshman at Clark University, majoring in Computer Science. Fascinated by the intricacies of technology, she aspires to harness the power of computers to solve complex problems and positively impact the world. When she’s not immersed in code or research, she enjoys writing and Netflix.