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EXPLORE NORTHEASTERN

Nasser Fard

Associate Professor,  Mechanical and Industrial Engineering

Contact

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Office

  • 617.373.4113

Research Focus

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

Education

  • PhD, University of Arizona, 1982

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

Research Overview

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

Department Research Areas

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

Graduate

Jun 08, 2015

Keivan Sadeghzadeh Receives American Statistical Association 2015 Natrella Scholarship Award

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

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