Dr. Wei Dai, a professor at Purdue University specializing in Robust Deep Learning, Defective Images, Data Quality and Cloud Computing.

Wei Dai, Ph.D
Nickname: David

Assistant Professor
Department of Computer Science

Director of Advanced Intelligence Software Lab

IEEE Senior Member

NSF Panel(Reviewer)
Purdue University Northwest

2200 169th Street
CLO384
Hammond, IN 46323

weidai (at) pnw (dot) edu
weidai (at) purdue (dot) edu

Dr. Wei Dai is an engineer and scientist specializing in computer science and data science. As a faculty member of Purdue University system, he focuses on teaching, research, and service in computer science and artificial intelligence. He is a director of Advanced Intelligence Software Lab. Dr. Dai has industry experience in IBM company as a senior engineer and Arkansas state government as a data scientist, respectively.

US Provisional Patents

Gunshot Detection System and Method with Air Quality Sensors, Application # 63/698,643, on September 25, 2024, Authors: Wei Dai, Brian Miller;Owner: Purdue University, West Layfette; Abstract: this patent protects privacy while detecting gunshot sounds.

Deep Learning-Driven Systems for Gunshot Detection and Fire Alarm, Application # 63/699,28, on September 26, 2024, Authors: Wei Dai, Rui Zhang; Owner: Purdue University, West Layfette Abstract: this patent provides high accuracy with low false alarms. Since I work for Purdue University, all patent-related assets belong to the Purdue Research Foundation (https://prf.org/). I have authorized Purdue for license these patents to any for-profit company.

Selected Publications ( Google Scholar , ResearchGate )

Refereed Journal Papers

Jiagang Liu, Ju Ren, Wei Dai, Deye Zhang, Pude Zhou, Yaoxue Zhang, Geyong Min, Noushin Najjari. "Online Multi-Workflow Scheduling under Uncertain Task Execution Time in IaaS Clouds." IEEE Transactions on Cloud Computing, 2019. # A Top Journal in the Computer Science.

Refereed Conference Papers

Dai, Wei wrote a paper named ASI: Accuracy-Stability Index for Evaluating Deep Learning Models that will be published on the IEEE International Conference on Big Data, December 2023.
Dai, Wei co-authored a paper named HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds was just accepted by the 14th IEEE International Conference on Cloud Computing Technology and Science, October 2023.
Dai, Wei, Daniel Berleant. 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
Dai, Wei, Daniel Berleant. "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.
Dai, Wei, Kenji Yoshigoe, and William Parsley. "Improving Data Quality Through Deep Learning and Statistical Models." In Information Technology-New Generations, pp. 515-522. Springer, Cham, 2018.
Dai, Wei, and Ningning Wu. "Profiling Essential Professional Skills of Chief Data Officers Through Topic Modeling Algorithms." in Americas Conference on Information Systems ,2017. # A Top Conference in Information Management Field.
Yoshigoe Kenji and Wei Dai, Melissa Abramson, and Alexander Jacobs. "Overcoming invasion of privacy in smart home environment with synthetic packet injection." In 2015 TRON Symposium (TRONSHOW), pp. 1-7. IEEE, 2015.

Books

Tao Wen, Wei Dai,etc Understanding DB2 DBA , In Neusoft Electronic Press, China, May 2009.
Tao Wen, Wei Dai,etc Advanced DB2 DBA , In Neusoft Electronic Press, China, August 2009.

Media Reports

Las Vegas transit system nation’s first to plan full deployment of AI surveillance for weapons. , CNBC, July 29, 2024
SULB Closings for Indoor Gunshot Detection System Testing. , Purdue University Northwest, July 26, 2024
PNW Computer Science research team tests AI-powered gunshot detection technology. ,Purdue Northwest, January 19, 2024
Evaluation of the Gunshot Detection System at the Schneider Avenue building. , Purdue University Northwest, October 10, 2023
Evaluation of the Purdue Gunshot Detection System at the Nils Nelson building. , Purdue University, Hammond Campus, July 22, 2023
PNW hosts its first International Collegiate Programming Contest , Purdue University Northwest, MARCH 13, 2023
UA LITTLE ROCK RESEARCHERS STUDYING DEVELOPMENT OF BENCHMARKS TO TEST MACHINE LEARNING , University of Arkansas at Little Rock, October 22, 2018
PhD research in data science at WPI will lead to life-saving public security improvements , Worcester Polytechnic Institute, April 26, 2018

Selected Professional Activities (full list)

Professional Organizations:

IEEE Public Safety Technology a committee member, USA, 2023 - Present
Machine learning Benchmarks Group, a committee member, USA, 2018 - present
Affiliate Graduate Faculty Member (Thesis/Dissertation Committee Member), University of Arkansas at Little Rock, July 2022 - Present
ICPC Site Director and Coach, the ICPC Regional Mid-Center USA contest, 2022- Present

Reviewer role in Journals

ACM Performance Evaluation Review, USA
IEEE Access, USA
Journal of Information Policy, USA.
The International Journal of Electronics & Communication Technology (IJECT), Indonesia
Telecommunication Computing Electronics and Control, Indonesia

Reviewer Role in Technical Program committees:

Computing Conference 2019 and Intelligent Systems Conference (IntelliSys) in 2018
2016 World Symposium on Computer Applications & Research in 2016
IEEE The Symposium on Emerging Topics in Computing and Communications in 2015

Selected Honors and Awards

2024 Excellence in Research Award in College of Engineering and Sciences, Purdue University Northwest,USA
2017 Excellence in Research Award in Information Science at UA Little Rock, 2017, USA
Industrial Awards in EIT Open House at UA Little Rock, 2017, USA
The first place and the third place Research Awards at UALR Student Research and Creative Works EXPO,2017, USA
Honorable Mention Award at UALR Student Research and Creative Works EXPO,2016, USA
Best IBM Customer Service Award in 2014;,IBM China
IBM Excellent Instructor Prize in 2011 and 2012, respectively ,IBM China
IBM Outstanding Employee in 2009 and 2012, respectively, IBM China
IBM South China Technical Talent Award in 2009, 2011, and 2012, respectively, IBM China

Selected Awarded Grants

[Role: PI] The Indiana Space Grant Consortium (NASA-related funds), “Using Satellite Images and Acoustic Sensors for Improving Public Safety with Deep Learning Models”, Total Award: $15,000. Project Period: May 2024 - April 2025
[Role: PI] Provost Grant, Purdue University Northwest, “Gunshot Detection for public security”, Total Award: $54,000. Project Period: April 2023 - May 2025
[Role: PI] Blakemore Family Business Fellowship, “An Online Cybersecurity Course for 100 Family Business Owners: A Proposal” $2,000, Period: October 2021
[Role: PI] Google (GCP Research Credits), “Aerial Images and Artificial Intelligence for Optimized Soybean Breading”, Total Award: $5,000. Project Period: November 2019 – December 2020. Collaborators: Pengyin Chen (University of Missouri-Columbia)
[Role: PI] Southeast Missouri State University (Internal), Robust Aerial Image Processing for Soybean Breeding: A Seed Grant, Total Award: $3,795. Project Period: May 2020 – December 2021. Collaborators: Andrew Chronister (SEMO)

Dr. Wei Dai is the Director of Advanced Intelligence Software Lab at Purdue University Northwest, focusing on public safety projects, especially gunshot sound detection.