Wei Dai, Ph.D
Nickname: David
Assistant Professor
Department of Computer Science
Southeast Missouri State University
One University Plaza,
DH021G
Cape Girardeau, MO 63701
wdai (at) semo (dot) edu
His primary research interests are in the area of robust deep/machine learning, text mining, data privacy, and information quality (and the related areas of Data Science and Big Data). He is seeking self-motivated students to join his research group.
Teaching (full list)
- Advanced Artificial Intelligence (CS 591, in-person/Online), Spring/Summer 2021, Undergraduate/Gradaute-Level
- Analysis of Algorithms (CS 350, in-person), Fall 2021,Undergraduate-Level-Level
- C programming and LINUX Environments (CS 351, Hyplex), Spring/Fall 2021, Undergraduate-Level
- Foundation of Computing (CS 503, Online/Heplex), Spring/Fall 2021, Gradaute-Level
Teaching Courses at SEMO):
Recent Publications ( Google Scholar , full list)
- Dai, Wei, Daniel Berleant. "Benchmarking Deep Learning Classifiers: Beyond Accuracy" In-process: Under review, 2021.
- Dai, Wei, Daniel Berleant. "Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics" 2019 IEEE First International Conference on Cognitive Machine Intelligence.
- 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 Topical Modeling Algorithms." in Americas Conference on Information Systems ,2017. # A Top Conference in Information Management Field.
- Dai, Wei, Isaac Wardlaw, Yu Cui, Kashif Mehdi, Yanyan Li, and Jun Long. "Data profiling technology of data governance regarding big data: review and rethinking." In Information Technology: New Generations, pp. 439-450. Springer, Cham, 2016.
- 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.
Conference 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.(Accepted on March 16th 2019) # A Top Journal in the Computer Science.
Journal Papers
- Dai, Wei ,etc "Understanding DB2 DBA", In Neusoft Electronic Press, China, May 2009.
- Dai, Wei ,etc "Advanced DB2 DBA " , In Neusoft Electronic Press, China, August 2009.
Books
Recent Professional Activities (full list)
- Machine learning Benchmarks Group, Core Researcher, California, in 2018
- Organized a Machine Learning Study Group (MLSG) at UALR as a leader, in 2015
Professional Organizations:
- 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
Program committee member:
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
Drafted Purposes for Research Grants
- Google Company, Deep Learning Cloud Platform Credits Awards, $5,000,in 2019
- Nvidia Company, Nvidia GPU Research Grant， in 2015-2016
- TruckXi Company, Research Grant, $3,500,in 2015
- UA Little Rock, Academic Travel Awards, $1,000,in 2016-2018