Lyle Norman Long is an academic, and computational scientist. He is a Professor Emeritus of Computational Science, Mathematics, and Engineering at The Pennsylvania State University, and is most known for developing algorithms and software for mathematical models, including neural networks, and robotics. His research has been focused in the fields of computational science, computational neuroscience, cognitive robotics, parallel computing, and software engineering. Long is a Fellow of the American Physical Society (APS), and the American Institute of Aeronautics and Astronautics (AIAA). From 2015 till 2018, he held an appointment as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS). He is the founding editor-in-chief of the Journal of Aerospace Information Systems, and also created and directed the Computational Science Graduate Minor program at the Penn State University.
Education Long graduated with a Bachelor of Mechanical Engineering with Distinction from the University of Minnesota in 1976. Subsequently, he received Master of Science degree in Aeronautics and Astronautics from Stanford University in 1978. He also holds a Doctor of Science degree from George Washington University. His thesis is titled, "The Compressible Aerodynamics of Rotating Blades using an Acoustic Formulation", which he completed under the supervision of F. Farassat, and M. K. Myers.
Career During his academic tenure, Long has served at NASA Ames Research Center based in California, and NASA Langley Research Center in Virginia as a research assistant between 1978 and 1983. He has held numerous additional appointments as a visiting scientist at the Army Research Lab, Thinking Machines Corporation, and NASA Langley Research Center. He was also the Gordon Moore Distinguished Scholar at the California Institute of Technology (Caltech) from 2007 till 2008. He is currently a professor emeritus of computational science, mathematics, and engineering at The Pennsylvania State University. Long has supervised and advised 19 Ph.D. students. In addition to that, he has served as a senior aerodynamics engineer at Lockheed California Company, and also held appointment as a senior research scientist at the Lockheed Aeronautical Systems Company from 1983 to 1989.
Research Long has over 260 publications under his name including journals and conference papers. His research works are focused on various aspects of applied mathematics, and computational science with a particular emphasis on computational fluid dynamics, modernizing STEM education, artificial intelligence, rarefied gas dynamics, and parallel computing. He showed in many research studies that the object oriented approach of C++ is extremely powerful compared to obsolete approaches such as those using the FORTRAN programming language.
Computational fluid dynamics and massively parallel computers Long has extensively focused his research on computational science particularly computational fluid dynamics, and massively parallel computers, and has developed efficient algorithms for solving mathematical model equations. In 1989, he conducted a research study which explained the solution method aimed at the solution of 3D and Navier-Stokes equations with the massively parallel connection machine. He has also solved the Boltzmann equation with the use of Connection Machine, Bhatnagar-Gross-Krook (BGK) model and accurate results were acquired. This led to the Gordon Bell prize in 1993. Later on, he presented an in-depth evaluation of the gas dynamic models, and discussed the Navier-Stokes method and a molecular simulation methods. Long, along with E. Alpman showed that the Reynolds stress turbulence model was a complete model, he examined separated turbulent flow simulations. Another aspect of computational science that holds prominence in his work is flow-associated noise prediction. He developed a new efficient computational aeroacoustics algorithm for the prediction of aerodynamic noise. He also showed that the four-dimensional integral equation for aeroacoustics can be used to simulate unsteady aerodynamics in the time domain. Together with V. Ahuja, he also developed algorithms and software to solve Maxwell's equations for electromagnetic propagation on parallel computers.
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