Saturday July 21, 2018

Taghi M. Khoshgoftaar

Department of Computer Science & Engineering
Florida Atlantic University
Phone: (561)297-3994, Email: taghi@cse.fau.edu
Home page: http://www.cse.fau.edu/~taghi

Professional Preparation:

  • 1982: Ph.D. in Statistical Computing, Virginia Polytechnic Institute and State University, Blacksburg, VA USA.
  • 1985: M.S. in Computer Science, North Carolina State University, Raleigh, NC USA.
  • 1979: M.S. in Applied Mathematics, Massachusetts Institute of Technology, Cambridge, MA USA.
  • 1977: B.S. in Statistics (major) and Computer Science (minor), College of Statistics and Information Science, Tehran, Iran.


  • 1985 – Present: Professor, Department of Computer Science and Engineering, College of Engineering (and predecessor departments), Florida Atlantic University, Boca Raton, Florida USA.
  • 1982 – 1985: Visiting Assistant Professor, Department of Mathematics and Computer Science, East Carolina University.

Research Interests:

Data mining, machine learning, software engineering, software metrics, software reliability and quality engineering, computational intelligence, computer performance evaluation, and statistical modeling.


Research Publications Summary:116 refereed journal papers, 193 refereed conference papers, 35 conference papers based on refereed abstracts, 20 book chapters, 7 books edited

Related Publications

  • Van Hulse, J., Khoshgoftaar, T.M., and Huang, H. (2007). The Pairwise Attribute Noise Detection Algorithm. Knowledge and Information Systems Journal, Special Issue on Mining Low Quality Data, Vol. 11, No. 2, pages 171-190
  • Zhong, S., Khoshgoftaar, T.M., and Seliya, N. (2004). Analyzing Software Measurement Data with Clustering Techniques. IEEE Intelligent Systems. Vol. 19, No. 2, March/April 2004, pages 20-27.
  • Khoshgoftaar, T.M., and Van Hulse, J. (2006). Determining Noisy Instances Relative to Attributes of Interest. Intelligent Data Analysis: An International Journal. Vol. 10, No. 3, pages 251-268.
  • Khoshgoftaar, T.M., Zhong S., and Joshi V. (2005). Enhancing Software Quality Estimation Using Ensemble–Classifier Based Noise Filtering. Intelligent Data Analysis: An International Journal. Vol. 6, No. 1, pages 3-27.
  • Khoshgoftaar, T.M., Seiffert, C., and Van Hulse, J. (2006). Polishing Noise in Continuous Software Measurement Data. International Conference on Software Engineering and Knowledge Engineering (SEKE'2006), San Francisco, CA, pages 227-231.

"PIRE... provides our students with the kind of direct international experience and training that will prepare them for careers in an increasingly competitive global arena."
Dr. Modesto Maidique
President Emeritus, Florida International University

"PIRE...will enable the next generation of students participants to become fully engaged as members of the globally-aware IT workforce.""
Dr. Nicholas Bowen
Vice President of Strategy and Worldwide Operations, IBM Research

"We look forward to hosting students researchers ... to foster our existing collaborations and create new ones."
Mateo Valero Cortés
Director, Barcelona Supercomputing Center

"I was able to develop quite a bit as a person, researcher, and professional."
Marlon Bright,
FIU student

"Being able to learn elements directly related to my project, the likes and dislikes of another culture, and be able to communicate in a different language are all aspects related to the PIRE program for which I will always be grateful."
Simone Pasmore,
FAU student

"It helps you build confidence that the degree you hold will enable you to tackle any problem, and, more importantly, it lets you experience the job before committing your life to it."
Allison Lanager,
FIU student

This material is based in part upon work supported by the National Science Foundation under Grant Number OISE-0730065. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. © 2007 Florida International University