Safety and Risk Modeling and Its Applications

1. Reliability Modeling of Complex Systems.- 2. The Price of Safety and Economic Reliability.- 3. Reliability Analysis of Structures Under Hybrid Uncertainty.- 4. Maintenance and Warranty Concepts.- 5. Risk Analysis.- 6. Risk Importance Measures.- 7. Dependent Competing-Risk Degradation Systems.- 8. Risk and Design Management Based on Failure Mode.- 9. Risk-based Resource Allocation Models for Aviation Security.- 10. Complex Risk and Uncertainty Modeling for Emergent Aviation Systems: An Application.- 11. Sensor Management Problems of Nuclear Detection.- 12. Risk Informed Decision Making in Nuclear Power Plants.- 13. Risk, Reliability, Safety, and Testing Case Study.- 14. Human Grasp Prediction and Analysis.

Dr. Hoang Pham is Professor and Chair of the Department of Industrial and Systems Engineering at Rutgers University, 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 system reliability modeling, maintenance, software reliability, probabilistic risk assessment, and environmental risk assessment.

Dr. Pham is the author of 4 books including System Software Reliability (Springer, 2006) and co-author of Reliability and Optimal Maintenance (Springer, 2006). He is also the editor of the Handbook of Reliability Engineering (Springer, 2003) and the Springer Handbook of Engineering Statistics (Springer, 2006). He is the editor of the Springer Series in Reliability and has published more than 95 journal articles, 30 book chapters, and 10 volumes.

Dr. Pham is Editor-in-Chief of the International Journal of Reliability, Quality and Safety Engineering, associate editor and guest editor of the IEEE Trans. on Systems, Man and Cybernetics (Part A), and guest editor of IIE Transactions and IEEE Trans. on Reliability. He has been conference chair and program chair of over 30 international conferences and workshops, and is a fellow of the IEEE.

Dr. Pham received a B.S. in Mathematics and a B.S. in Computer Science, both with high honors, from Northeastern Illinois University, Chicago. He received his M.S. in Statistics from the University of Illinois at Urbana-Champaign, and an M.S. and Ph.D. in industrial engineering from the State University of New York at Buffalo.