Wei David Dai

Dr. Wei David Dai is an Assistant Professor of Computer Science at Purdue University Northwest and Director of the Advanced Intelligence Software (AIS) Lab. His research focuses on robust deep learning, data quality, and public safety technologies like gunshot detection systems. He previously worked at IBM China as a senior engineer and served in Arkansas state government as a data scientist.

Education:

• Ph.D. in Computer and Information Sciences (University of Arkansas at Little Rock, USA, 2020)
• M.S. in Information Science (University of Arkansas at Little Rock, USA, 2016)
• M.S. in Software Engineering (South China University of Technology, China, 2013)
• B.S. in Computer Science (Central South University, China, 2007)

Research Interests: His work spans robust deep learning models, distributed computing systems, and privacy-preserving technologies. Notable projects include public safety innovations such as acoustic gunshot detection and AI-driven campus security systems.

Articles Trends: Recent publications emphasize public safety applications (e.g., mass school shooting simulations) and deep learning robustness evaluation (e.g., the Accuracy-Stability Index metric). Earlier works address cloud computing optimization and data quality frameworks.

Awards: Recipient of the 2024 Excellence in Research Award and multiple IBM honors for technical excellence and instruction.

Grants & Advising: Leads the Indiana Space Grant Consortium-funded satellite imaging project and Purdue Provost Grant for gunshot detection. Advises doctoral and master’s students on AI ethics, distributed systems, and public safety.

Labs: The AIS Lab develops AI tools for public safety, equipped with GPU resources for audio and image analysis.