My 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). I am seeking self-motivated students to join my research group.

Teaching (full list)

Teaching Courses at SEMO):

• Advanced Artificial Intelligence (CS 591, in-person/Online), Spring/Summer 2021, Undergraduate/Graduate-Level
• Analysis of Algorithms (CS 350, in-person), Fall 2021,Undergraduate-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

Recent Publications ( Google Scholar , full list)

Conference Papers

• 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.

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.(Accepted on March 16th 2019) # A Top Journal in the Computer Science.

Books

• 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.

Media Reports

• UA LITTLE ROCK RESEARCHERS STUDYING DEVELOPMENT OF BENCHMARKS TO TEST MACHINE LEARNING