Simon Shim, Ph.D.
Chair and Professor
Department of Applied Data Science
Research Interests
Machine Learning, Deep Learning, GenAI, Large Language Model
Contact Information
Phone: 408-924-7853
Email: simon.shim@sjsu.edu
Biography
Simon Shim is a professor and chair of the Applied Data Science Department at San Jose State University. He was on the editorial board of IEEE Computer for 10 years. He worked as a director at SAP Labs in Palo Alto, CA, USA. He was a guest editor for several special issues of IEEE Computer. He has published more than 50 papers in journals and conferences. He has co-authored two published technical book. He received a PhD in computer science from the University of Minnesota. His current research areas include LLMs, machine learning, deep learning, and database management. He has served as a co-chair of IEEE Big Data Services and several workshops.
Recent Papers
- Prompt-based Generation Strategy for Imbalanced Information Security Rating Dataset Augmentation (AIxDKE 2024 - Conference)
- Generating Security Rating Questions based on Impact Factors Using LLM Alignment (IFIT 2024 - Conference)
- Impact Factor-Driven Security Rating Questionnaire Using LLMs for AIoT Applications (HCIS - Journal, Accepted)
- Domain-Specific Finetuning of LLMs Using PEFT Techniques, IEEE CCWC Jan. 2025
- StarryStudioAI: Automating UI Design with Code-Based Generative AI and RAG, IEEE CCWC Jan. 2025
