Dirk Van Essendelft

Dr. Van Essendelft is the principle investigator for the integration of AI/ML with scientific simulations within in the Computational Device Engineering Team at the National Energy Technology Laboratory.  The focus of Dr. Van Essendelft’s work is building a comprehensive hardware and software ecosystem that maximizes speed, accuracy, and energy efficiency of AI/ML accelerated scientific simulations.  Currently, his work centers around building Computational Fluid Dynamics capability within the TensorFlow framework, generating AI/ML based predictors, and ensuring the ecosystem is compatible with the fastest possible accelerators and processors in industry.  In this way, Dr. Van Essendelft is developing NETL’s first cognitive-in-the-loop simulation capability in which AI/ML models can be used any point to bring acceleration and/or closures in new ways.  Dr. Van Essendelft sits on the Technical Advisory Group for NETL’s new Science-Based Artificial Intelligence/Machine Learning Institute (SAMI) and holds degrees in Energy and Geo-Environmental Engineering, Chemical and Biochemical Engineering, and Chemical Engineering from the Pennsylvania State University, University of California, Irvine, and Calvin College respectively.

Recent publications:

• Rocki, K., Van Essendelft, D., Sharapov, I., Schreiber, R., Morrison, M., Kibardin, V., Portnoy, A., Dietiker, J. F., Syamlal, M., and James, M. (2020) Fast stencil-code computation on a wafer-scale processor, In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp pp 1-14, IEEE Press, Atlanta, Georgia.

Dhireesha Kudithipudi

In Fall 2019, I started as a professor with joint appointment in the Department of Electrical and Computer Engineering  and Department of Computer Science at the University of Texas- San Antonio.

Before that,  I enjoyed 13 years in the Department of Computer Engineering at Rochester Institute of Technology, where I was the founding director of the Center for Human-Aware AI.

My research interests are in neuromorphic computing, brain inspired AI algorithms, novel computing substrates (e.g.: memristors), energy efficient machine intelligence, and AI-Platforms.  I offer consulting services to startup firms and other agencies in Neuromorphic AI field.

Shreyansh Daftry

Shreyansh Daftry is a researcher, technologist and consultant in the fields of Artificial Intelligence (AI) and Space Technology. He is interested in pushing the boundaries of technology with innovation in the fields of Computer Vision, Machine Learning and Autonomous Robotics - Drones, Self-Driving (or Flying) Cars, etc. His lifelong ambition is to promote both the exploration of space and improvement of sustainable living on Earth.

Shreyansh received his M.S. degree in AI and Robotics from School of Computer Science, Carnegie Mellon University USA in 2016, and his B.S. degree in Electronics and Communication Engineering in 2013. Currently, he is a Research Scientist at NASA Jet Propulsion Laboratory (JPL) in California, working on AI technologies for robotic exploration of Earth, Mars and beyond!

Are Magnus Bruaset

Are Magnus Bruaset is Director of Research at Simula Research Laboratory. He is also Professor of Scientific Computing at the University of Oslo. Previously, he has been an entrepreneur in the software industry, specialised in software environments for numerical simulations based on partial differential equations. His research is concentrated on software development for large-scale simulations, in particular for applications in geoscience.

Diana Blithe, Ph.D.