Wei David Dai, Ph.D.

Assistant Professor of Computer Science, Director of Advanced Intelligence Software Lab

Introduction

Professor Dai is an engineer and scientist who specializes in computer science and data science. As a PNW faculty member, he focuses on teaching, research, and service in computer science and artificial intelligence. He is a director of Advanced Intelligence Software (AIS) Lab. Professor Dai has industry experience in IBM company.

Research Overview

Professor Dai’s research interests includes robust deep learning, data quality, and distributed computing systems. Currently, he is working on public safety projects, including gunshot sound detection, road crack detection, etc.

For more information on Professor Dai’s research, publications and more, please visit his personal website.

If you ask why my students are dedicated to studying computer science, my response would hark back to President Kennedy's remarks at Rice University in 1962, where he proclaimed—permit me to paraphrase—-- "We choose to pursue the CS degree, not because it is easy, but because it is hard. Because that goal will serve to organize and measure the best of our energies and skills, because that challenge is one that we’re willing to accept. One we are unwilling to postpone. “

Select Publications

“Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets,” 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 3735-3744, doi: 10.1109/BigData55660.2022.10020507.

“Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation,” 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, 2021, pp. 5085-5094, doi: 10.1109/BigData52589.2021.9671976.

“Online Multi-Workflow Scheduling under Uncertain Task Execution Time in IaaS Clouds,” in IEEE Transactions on Cloud Computing, vol. 9, no. 3, pp. 1180-1194, 1 July-Sept. 2021, doi: 10.1109/TCC.2019.2906300.

Improving Data Quality Through Deep Learning and Statistical Models. In: Latifi, S. (eds) Information Technology – New Generations. Advances in Intelligent Systems and Computing, vol 558. Springer, Cham. https://doi.org/10.1007/978-3-319-54978-1_66

“Overcoming invasion of privacy in smart home environment with synthetic packet injection,” 2015 TRON Symposium (TRONSHOW), Tokyo, Japan, 2015, pp. 1-7, doi: 10.1109/TRONSHOW.2014.7396875.

Google Scholar Citations

ResearchGate

Teaching Focus

Professor Dai has taught ABET-accredited undergraduate and graduate courses in face-to-face, hybrid, and online modalities since 2019 in the USA. In particular, teaching a wide range of courses, from undergraduate-level Algorithms to Deep Learning and Advanced Artificial Intelligence, has made him aware of the needs and interests of a culturally and ethnically diverse student body. His objective as an instructor is to motivate students to develop their own learning interests and critical thinking—to establish a learner-centered environment in the classroom.