Dr. Simon M. Hsiang, P.E., CPE

Dr. Simon M. Hsiang, P.E., CPE

Professor and Department Chair
Industrial and Systems Engineering

Education

  • Ph.D., Texas Tech University
  • B.S., Taiwan Feng Chia University

Classes

  • SEGR 3103 Human Systems Interface
  • SEGR 4142 Reliability Management
  • SEGR 4141 Engineering Experimental Design
  • EMGT 6905 Designed Experimentation
  • EMGT 6955 Systems Reliability Engineering

Degrees and Professional Registration

  • Institute of Electrical and Electronics Engineers
  • Institute of Industrial Engineers
  • Human Factors and Ergonomics Society
  • Association for the Advancement of Artificial Intelligence

Research

  • Engineering Decision Making and Risk Management
  • Cognitive Engineering and Data Mining
  • Biomechanics and Motor Control of Manual Operations
  • Decision Support
  • Social Network
  • Motor Control
  • Optimal Design

Recent Publications

  • SA Abbasian-Hosseini, M Liu, SM Hsiang (2017) Social network conformity and construction work plan reliability, Automation in Construction 78, 1-12
  • A Javanmardi, SA Abbasian-Hosseini, M Liu, SM Hsiang (2016) Analysis of Workflow Variability’s Impacts on Trade and Project Performance; Procedia Engineering 145, 281-287
  • K Hajifathalian, G Howell, BW Wambeke, SM Hsiang, M Liu (2016) “Oops” Simulation: Cost–Benefits Trade-Off Analysis of Reliable Planning for Construction Activities, Journal of Construction Engineering and Management 142 (8)
  • PR DeLucia, M Meza-Arroyo, R Baurès, M Ranjit, S Hsiang, JC Gorman (2016) Continuous Response Monitoring of Relative Time-to-Contact Judgments: Does Effective Information Change During an Approach Event? Ecological Psychology 28 (1), 1-22
  • T Karakostas, E King, S Hsiang (2016) Constrained Induced Movement Therapy for Children with Brachial Plexus Injury: Upper and Lower Extremity Immediate and Long Term Changes, Archives of Physical Medicine and Rehabilitation 97 (10),
  • A Nikakhtar, SA Abbasian-Hosseini, H Gazula, SM Hsiang (2015) Social network based sensitivity analysis for patient flow using computer simulation, Computers & Industrial Engineering 88, 264-272