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

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.

Selected Publications ( Google Scholar , ResearchGate )


Media Reports

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

  • 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)
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