Nick Sahindis

Carnegie Mellon University

Nick Sahindis is the lead of the Optimization Algorithms and Parallel Computing subtask which is advancing the computing capabilities of the Pyomo modeling framework and numerical algorithms to support parallel solution of problems on existing workstations, large HPC clusters, and emerging parallel architectures (i.e., GPUs). Nick also is the lead of the GPU subtask and Tools for Kinetics and Thermophysical Properties subtask which develops new thermodynamic and kinetic models for chemical processing systems.