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n.fard@northeastern.edu

Profile

Nasser Fard

334 Snell Engineering Center
360 Huntington Avenue
Boston, MA 02115

Education

  • PhD, University of Arizona, 1982

Research & Scholarship Interests

Systems reliability, accelerated life testing in reliability prediction; big data-data driven decision making in spatiotemporal streaming environment; life data (survival data) analysis; robust design of experiments
Affiliated With

Department Research Areas

Honors & Awards

  • American Statistical Association Natrella Scholarship Award
  • Selected National Speaker for American Society for Quality Control
  • Outstanding Paper Award from the Reliability and Maintainability Symposium
  • Outstanding Presentation Award from the Reliability and Maintainability
    Symposium
  • Associate Editor, IEEE Transactions on Reliability
  • Associate Editor, International Journal of Reliability, Quality and Safety Engineering 
  • Certified Quality Engineer by American Society for Quality

Teaching Interests

  • Engineering Probability and Statistics
  • Reliability Engineering
  • Quality Assurance
  • Systems Engineering

Selected Publications

  • H. Xu, Y. Fang, N. Fard, Reliability Assessment of Repairable Load-Sharing k-out-of-n: G System with Flowgraph Model, IEEE Xplore, Annual Reliability and Maintainability Symposium (RAMS), 2018
  • Y. Fang, H. Xu, N. Fard,  Time Series Chain Graph for Reliability Covariate Modelling, IEEE  Xplore, Annual Reliability and Maintainability Symposium (RAMS), 2018
  • H. Xu, Y. Fang, N. Fard, Optimal Design for Resilient Load-Sharing Systems with Nonidentical Components, Quality and Reliability Engineering International, 2018, 1-17
  • N. Fard, S. Davis, Statistical Method for Predicting Inpatient Bed Demand, Annual ISSAT International Conference on Reliability and Quality in Design, RQD, 2018
  • N. Fard,H. Xu,Y. Fang, Reliability Assessment of Load-Sharing Systems by Flowgraph for Non-Identical Components with Time-Varying Repair Rates, International Conference on Computers and Industrial Engineering, CIE47, 2017
  • Fang, Y., Xu, H., Fard, N, Neural Network-WPCA Based Method for Multi-Objective Optimal Redundancy Allocation, International Journal of Reliability, Quality and Safety Engineering, 24(5), 2017, 1750024-1–1750024-22
  • K. Sadeghzadeh, N. Fard, Analytical Clustering Procedures in Massive Failure Data, IEEE Xplore Annual Reliability and Maintainability Symposium (RAMS), 2017
  • M. Liu, N. Fard, K. Sadeghzadeh, Large-Scale Spectral Clustering for Managing Big Data in Healthcare Operations, International Journal of Big Data Intelligence, 4(3), 2017, 195-207

Related News

June 8, 2015

IE PhD candidate, Keivan Sadeghzadeh has been awarded the 2015 Mary G. and Joseph Natrella Scholarship from the American Statistical Association (ASA).