Research Devices

The AIS lab has two GPU machines with 80 cores, 200 GB memory, 6 TB data storages.The lab is dedicated to anlzying audio datasets and image datasets with deep learning and statistical learning approaches.

Robust Deep Learning(Selected publications)

• 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, 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.

Information Quality (Selected publications)

• 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.

Data Privacy of Internet of Things (IoT)

• 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.

Cloud Computing (Selected publications)

• Dai, Wei and his research team is developing Distributed Time Sync Simulation . So far, the simulation has triggered many positive interests at academic. Note that the simulation is 100% math models, graphic algorithms, and distribution algorithms. On October 4th, 2023, David research team introduced the simulation at Purdue University, West Lafayette
• 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.
• 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.

Selected Research Grants

• [Role: PI] Chicago Quantum Hub, "Quantum Computing Cloud Credits", $500, Period: October 2024- January 2025
• [Role: PI] Indiana Space Grant Consortium (NASA-control), "Using Satellite Images and Acoustic Sensors for Improving Public Safety with Deep Learning Models", $17,000, Period: May 2024- May 2025
• [Role: PI] Provost Grant, Purdue University Northwest, “Gunshot Detection for public security”, 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), A Self-Defense Web Application with Informed Caches, Total Award: $500. Project Period: October 2019 – December 2020
• TruckXi Company,California, USA, Industry Research Grant, $3,500 2015
• UA Little Rock, Academic Travel Awards, $1,000 2016-2018

SELECTED AWARD

Academia

• Excellence in Research Award in College of Engineering and Sciences, 2024, Purdue University Northwest
Excellence in Research Award in Information Science, 2017, UA Little Rock
• The first place and the third place Research Awards at UALR Student Research and Creative Works EXPO in 2017, UA Little Rock
• Honorable Mention Award at UALR Student Research and Creative Works EXPO, 2016, UA Little Rock

  Industry

• Industrial Awards in EIT Open House, 2017, UA Little Rock
• Best IBM Customer Service Award in 2014;
• IBM Excellent Instructor Prize in 2011 and 2012, respectively
• IBM Outstanding Employee in 2009 and 2012, respectively
• IBM South China Technical Talent Award in 2009, 2011, and 2012, respectively