Foundation research

Clarkson University Receives National Science Foundation Research Grant for Research Workforce Development in Advanced Algorithms and High Performance Computing

From left to right: Daqing Hou, Ming-Cheng Cheng, Yu Liu and Mary Margaret Small

Three Clarkson University professors received a $ 300,000 National Science Foundation Research Workforce Development Grant with a project titled “CyberTraining: Pilot: Employing Proper Orthogonal Decomposition (POD) and High -Performance Computing (HPC) in Advanced CI “. The research team includes Daqing Hou (PI), professor and director of software engineering; Ming-Cheng Cheng (Co-PI), professor; and Yu Liu (Co-PI), assistant professor, all from the Department of Electrical and Computer Engineering. Dr. Mary Margaret Small, Educational Partnerships Coordinator at the Institute for STEM Education, will serve as the program evaluator for the project.

Proper Orthogonal Decomposition (POD) is a highly efficient, data-driven learning algorithm for solving multidimensional ordinary / partial differential equations (ODE / PDE). However, POD is rarely covered in the typical graduate curriculum, and therefore the nation does not fully exploit this advanced algorithm in scientific and technical research. To fill this void, the team will organize a two-week online workshop for interns in engineering and science-related disciplines and integrate the developed educational material into an existing graduate course on high performance computing ( HPC). In doing so, this project provides an educational ecosystem enabling computational and data-driven science for scientists and engineers. By forming a diverse group of graduate students, post-docs and faculty members in various disciplines, this project will help prepare the scientific workforce for advanced CI-based research, which will serve to improve research productivity and enable researchers to effectively address complex societal issues. problems.