Eric Jiang, PhD

Eric Jiang
Phone: (619) 260-5956
Fax: 619-260-4293
Office: Guadalupe Hall 105

Professor, Computer Science

  • PhD, University of Tennessee at Knoxville
  • MS, University of Georgia
  • MA, University of Georgia
  • BS, Shanghai Jiao Tong University

Professor Jiang has been a member of the faculty since 1998.

Professor Jiang's research has been in parallel computing, information retrieval, data mining, Web link analysis and mining, machine learning and scientific computation. He has co-authored a book "Nonlinear Numerical Analysis and Optimization" and has published papers in several edited books and in journals such as Neural, Parallel & Scientific Computations, Numerical Linear Algebra with Applications, International Journal of Knowledge-based Intelligent Engineering Systems. Professor Jiang has also given a number of presentations at international conferences, workshops and invited seminars. Since 2010, he has been serving on the editorial board of International Journal of Intelligent Data Analysis.

Professor Jiang has taught a variety of courses at USD, including computer programming, object-oriented design, data structures and algorithm analysis, operating systems, programming languages, digital modeling, data mining and neural networks.  In addition to teaching regular courses, Professor Jiang has advised computer science research projects, independent studies and Honors theses in database design and management, information retrieval modeling, data mining and predictive analysis, genetic algorithms and applications. He has also participated in teaching team-taught interdisciplinary courses for the Honors Program at USD.

Scholarly Work

  • "A Framework for Effective Classification," International Conference on Computer Modeling and Simulation, Sydney, Australia, 2018.
  • "Enhanced Student Learning Experience with Big Data Analytics Techniques" in Handbook of Mobile Teaching and Learning. 2nd ed. New York, NY: Springer International Publishing, 2018.
  • "Detecting System Intrusions by Using Both Labeled and Unlabeled Data." Proc. International Conference on Information System, , 2017, pp. 185-189.
  • "Advanced Information Retrieval Models and Applications," International Conference on Urbanization and Social Development Based on Big Data, Qingdao, China, 2016.
  • "Exploring Practical Data Mining Techniques at the Undergraduate Level," International Journal of Computers, vol. 1, pp. 76-82, 2016.
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