Yahya Fathi
Industrial and Systems Engineering
Professor
industrial and Systems Engineering
Fitts-Woolard Hall 4181
919.515.6417 fathi@ncsu.eduBio
Yahya Fathi has been a professor of Industrial Engineering and Operations Research at North Carolina State University since 1984. Previously, he was an assistant professor of IE at Georgia Tech and at the University of Michigan-Dearborn. Fathi received the NC State University Outstanding Teacher Award in 1999, and he is a member INFORMS, IIE, Omega Rho, and Sigma Xi.
Education
Ph.D. Industrial and Operations Engineering University of Michigan 1979
M.S. Industrial and Operations Engineering University of Michigan 1976
B.S. Industrial Engineering Sharif University of Technology 1972
Area(s) of Expertise
Fathi's research interests include linear and nonlinear programming, integer programming, exact and inexact methods in discrete optimization, with applications in cutting and packing, data mining, cluster analysis, data base management systems, production planning and scheduling, logistics, and quality engineering.
Publications
- Bi-criteria set covering problem with conflict constraints , Computers & Industrial Engineering (2023)
- Set covering problem with conflict constraints , Computers & Operations Research (2022)
- Representative subsets of non-dominated points in the bi-criteria p-median p-dispersion problem , Computers & Industrial Engineering (2020)
- Effective methods for solving the Bi-criteria p-Center and p-Dispersion problem , Computers & Operations Research (2018)
- Valid inequalities for concave piecewise linear regression , Operations Research Letters (2018)
- An integer programming approach for solving the p -dispersion problem , European Journal of Operational Research (2016)
- Determining Query Readiness for Structured Data , Big Data Analytics and Knowledge Discovery (2015)
- Determining query readiness for structured data , Big data analytics and knowledge discovery (2015)
- p-Median and p-dispersion problems: A bi-criteria analysis , Computers & Operations Research (2015)
- Branch and Bound Algorithms for Resource Constrained Project Scheduling Problem Subject to Nonrenewable Resources with Prescheduled Procurement , Mathematical Problems in Engineering (2014)
Grants
NC State University (NCSU), through the graduate industrial traineeship (GIT) student, will provide research and analysis to SAS. Such research and analysis shall include, but is not limited to, research, generation, testing and documentation of operation research software. GIT student will provide such services for SAS' offices in Cary, North Carolina, at such times as have been mutually agreed upon by the parties. GIT student agrees to abide by SAS' policies and procedures regarding security of SAS' facilities and computing resources
NCSU through the Research Assistant will provide research and analysis to SAS as set forth in this Agreement. Such research and analysis shall include, but is not limited to, research, generation, testing, and documentation of operations research software. Research Assistant will provide such services for SAS' offices in Cary, North Carolina, at such times as have been mutually agreed upon by the parties. Research Assistant agrees to abide by SAS' policies and procedures regarding security of SAS' facilities and computing resources. Research Assistant further agrees to submit to background verification. If SAS, in its sole discretion, finds Research assistant's background unsuitable, this Agreement shall terminate immediately.
Title of proposed project STTR Phase IIB: Automation of the crosscut operation in a wood processing mill. Abstract We propose to design and develop the mathematical programming models and the associated software as outlined in the project description, in support of BMI's activities in Phase IIB of their STTR project with the same title as proposed to the National Science Foundation. The overall objective in Phase IIB is to extend the R&D efforts beyond the current STTR grant Phase II to meet the market requirements that we have determined during the past two years. To this end we have identified three specific objectives for Phase IIB activities: A. Short block processing. B. Low grade lumber processing. C. Development of a command center
The primary objective of the project is to create a genomics database, consisting of clinical information, cardiac catherization results, and blood samples from at least 500,000 patients across the country over 5 years, and then store the date long term for research needs.
Honors and Awards
- 1998 | C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University
- 1991 | C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University