Dr Hoang Pham is a professor in the Department of Industrial and Systems Engineering at Rutgers, The State University of New Jersey. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and biological systemability-risk assessment.

• System Reliability Computing.- Central Limit Theorem for a Family of Reliability Measures.- Modeling and Reliability Evaluation of Multi-state k-out-of-n Systems.- On Weighted Least Squares Estimation for the Parameters of Weibull Distribution.- Periodic and Sequential Imperfect Preventive Maintenance Policies for Cumulative Damage Models.- Some Alternative Approaches to System Reliability Modeling.- The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation.- Reliability Engineering in Design.- Optimum Threshold Level of Degrading Systems Based on Sensor Observation.- Weibull Data Analysis with Few or no Failures.- A Load-weighted Statistical Average Model of Fatigue Reliability.- Markovian Performance Evaluation for Software System Availability with Processing Time Limit.- Failure Probability Estimation of Long Pipeline.- Software Reliability and Testing.- Software Fault Imputation in Noisy and Incomplete Measurement Data.- A Linearized Growth Curve Model for Software Reliability Data Analysis.- Software Reliability Model Considering Time-delay Fault Removal.- Heuristic Component Placement for Maximizing Software Reliability.- Software Reliability Growth Models Based on Component Characteristics.- Quality Engineering in Design.- Statistical Analysis of Appearance Quality for Automotive Rubber Products.- Present Worth Design of Engineering Systems with Degrading Components.- Economic-statistical Design of a Logarithmic Transformed S2 EWMA Chart.- Risk Management Techniques for Quality Software Development.- Application in Engineering Design.- Recent Advances in Data Mining for Categorizing Text Records.- Quality in Design: User-oriented Design of Public Toilets for Visually Impaired People.- Assurance Cases for Reliability: Reducing Risks to Strengthen ROI for SCADA Systems.- Detecting Driver’s Emotion: A Step Toward Emotion-based Reliability Engineering.- Mortality Modeling Perspectives.

Dr Hoang Pham is a professor in the Department of Industrial and Systems Engineering at Rutgers, The State University of New Jersey. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and biological systemability-risk assessment.

• System Reliability Computing.- Central Limit Theorem for a Family of Reliability Measures.- Modeling and Reliability Evaluation of Multi-state k-out-of-n Systems.- On Weighted Least Squares Estimation for the Parameters of Weibull Distribution.- Periodic and Sequential Imperfect Preventive Maintenance Policies for Cumulative Damage Models.- Some Alternative Approaches to System Reliability Modeling.- The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation.- Reliability Engineering in Design.- Optimum Threshold Level of Degrading Systems Based on Sensor Observation.- Weibull Data Analysis with Few or no Failures.- A Load-weighted Statistical Average Model of Fatigue Reliability.- Markovian Performance Evaluation for Software System Availability with Processing Time Limit.- Failure Probability Estimation of Long Pipeline.- Software Reliability and Testing.- Software Fault Imputation in Noisy and Incomplete Measurement Data.- A Linearized Growth Curve Model for Software Reliability Data Analysis.- Software Reliability Model Considering Time-delay Fault Removal.- Heuristic Component Placement for Maximizing Software Reliability.- Software Reliability Growth Models Based on Component Characteristics.- Quality Engineering in Design.- Statistical Analysis of Appearance Quality for Automotive Rubber Products.- Present Worth Design of Engineering Systems with Degrading Components.- Economic-statistical Design of a Logarithmic Transformed S2 EWMA Chart.- Risk Management Techniques for Quality Software Development.- Application in Engineering Design.- Recent Advances in Data Mining for Categorizing Text Records.- Quality in Design: User-oriented Design of Public Toilets for Visually Impaired People.- Assurance Cases for Reliability: Reducing Risks to Strengthen ROI for SCADA Systems.- Detecting Driver’s Emotion: A Step Toward Emotion-based Reliability Engineering.- Mortality Modeling Perspectives.

Dr Hoang Pham is a professor in the Department of Industrial and Systems Engineering at Rutgers, The State University of New Jersey. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and biological systemability-risk assessment.

• System Reliability Computing.- Central Limit Theorem for a Family of Reliability Measures.- Modeling and Reliability Evaluation of Multi-state k-out-of-n Systems.- On Weighted Least Squares Estimation for the Parameters of Weibull Distribution.- Periodic and Sequential Imperfect Preventive Maintenance Policies for Cumulative Damage Models.- Some Alternative Approaches to System Reliability Modeling.- The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation.- Reliability Engineering in Design.- Optimum Threshold Level of Degrading Systems Based on Sensor Observation.- Weibull Data Analysis with Few or no Failures.- A Load-weighted Statistical Average Model of Fatigue Reliability.- Markovian Performance Evaluation for Software System Availability with Processing Time Limit.- Failure Probability Estimation of Long Pipeline.- Software Reliability and Testing.- Software Fault Imputation in Noisy and Incomplete Measurement Data.- A Linearized Growth Curve Model for Software Reliability Data Analysis.- Software Reliability Model Considering Time-delay Fault Removal.- Heuristic Component Placement for Maximizing Software Reliability.- Software Reliability Growth Models Based on Component Characteristics.- Quality Engineering in Design.- Statistical Analysis of Appearance Quality for Automotive Rubber Products.- Present Worth Design of Engineering Systems with Degrading Components.- Economic-statistical Design of a Logarithmic Transformed S2 EWMA Chart.- Risk Management Techniques for Quality Software Development.- Application in Engineering Design.- Recent Advances in Data Mining for Categorizing Text Records.- Quality in Design: User-oriented Design of Public Toilets for Visually Impaired People.- Assurance Cases for Reliability: Reducing Risks to Strengthen ROI for SCADA Systems.- Detecting Driver’s Emotion: A Step Toward Emotion-based Reliability Engineering.- Mortality Modeling Perspectives.