معرفی
Peter Kemper is an Associate Professor in the Department of Computer Science at the College of William and Mary. His research focuses on stochastic modeling, simulation optimization of discrete event systems, and the application of Petri nets in performance and dependability analysis. He has contributed to fields such as human-computer interfaces, brain-computer interfaces, and software development. Kemper has taught courses like Advanced Computer Architecture (CS 654), Stochastic Models in Computer Science (CS 616), and Debugging Simulation Models (CS 780). He actively participates in conferences, serving roles such as PC Chair for the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). His work spans projects on trace analysis (Traviando), stochastic workload models, and collaborations with institutions like Universitaet Dortmund and the University of Illinois.
Key contributions include techniques for model validation through simulation trace analysis, symbolic state-space exploration, and optimization of Markov models using evolutionary strategies. He has advised students on topics ranging from system design to computational biology. His research integrates theoretical foundations with practical applications in logistics, healthcare, and computational neuroscience.
