Computational Fluid Dynamics (CFD) Numerical methods for the solution of Euler and Navier-Stokes equations, in particular the kinetic schemes and the vorticity confinement method. Convergence acceleration techniques. Turbulence modeling. Parallel computing. Flow Control Numerical study of the influence of synthetic jets on drag reduction by separation control in transonic flow and on vectoring control of a propulsive jet. [ in collaboration with Dr. William Bower and Dr. Andrew Cary of Boeing Co.] Application of robust H-infinity control theory to study the control of transition in complex (polymer) fluid flows. [in collaboration with Professor Sureshkumar of the Chemical Engineering Department] Flow control with the application of a magnetic field. Flows in Continuum-Transition Regime Development and application of higher-order continuum equations of fluid dynamics, namely the Burnett equations, to compute the flows at moderate Knudsen numbers which occur in hypersonic regime at high altitudes as well as in microdevices. Computational Magneto-hydrodynamics (MHD) Development of 2-D and 3-D electro-magneto-hydrodynamics codes to evaluate the concepts of supersonic drag reduction and by-pass propulsion for scramjets. Development and application of explicit and implicit kinetic schemes, vorticity confinement methods and turbulence models for MHD flows, MHD flow control. Computational Aeroacoustics (CAA) Solution of acoustics equations (Euler equations linearized about the mean flow) using compact higher-order schemes. Novel farfield boundary conditions. Applications to acoustic scattering, propagation and radiation problems. Computational Electromagnetics (CEM) Development and application of Discontinuous Galerkin (DG) method for the solution of Maxwell equations to compute the electromagnetic scattering from complex objects. Formulation of novel farfield radiation condition and material surface boundary conditions. Aeroelastic Analysis Using Neural Networks Application of Artificial Neural Networks (ANN) to achieve very fast convergence of fluid dynamics and structures codes to obtain aeroelastic loads on aircraft components such as wing, fuselage, tail, etc. Control Theory and Applications to Flight Control Linear and nonlinear robust control of uncertain systems, nonlinear adaptive control, reduced-order modeling, singular perturbation method, applications to aircraft control under adverse weather conditions, to aircraft landing system and to control of an aeroelastic aircraft. [in collaboration with Dr. Rolf Rysdyke of the University of Washington, Dr. Peng Shi of DSTO, Australia and Prof. M. Mahmoud of the Arab Academy of Science and Technology, Egypt] Aortic Stenosis Theoretical and computational study of valvular or vascular stenosis. One of the goals of the study is to provide hemodynamic assessment of valvular stenosis by computationally determining the range of applicability of frequently used Gorlins formula (and its improved versions) by the cardiologists to relate the cardiac output to the aortic valve area. [ in collaboration with Professor R.D. Rifkin, Dr. M. Wendel, and Dr. D. Dooling of the School of Medicine]
Professor Ramesh K. Agarwal is the William Palm Professor of Engineering in the department of Mechanical Engineering and Materials Science at Washington University in St. Louis. From 1994 to 2001, he was the Sam Bloomfield Distinguished Professor and Executive Director of the National Institute for Aviation Research at Wichita State University in Kansas. From 1978 to 1994, he was the Program Director and McDonnell Douglas Fellow at McDonnell Douglas Research Laboratories in St. Louis. Dr. Agarwal received Ph.D in Aeronautical Sciences from Stanford University in 1975, M.S. in Aeronautical Engineering from the University of Minnesota in 1969 and B.S. in Mechanical Engineering from Indian Institute of Technology, Kharagpur, India in 1968. Over a period of 35+ years, Professor Agarwal has worked in various areas of Computational Science and Engineering - Computational Fluid Dynamics (CFD), Computational Materials Science and Manufacturing, Computational Electromagnetics (CEM), Neuro-Computing, Control Theory and Systems, and Multidisciplinary Design and Optimization. He is the author and coauthor of over 500 journal and refereed conference publications. He has given many plenary, keynote and invited lectures at various national and international conferences worldwide in over fifty countries. Professor Agarwal continues to serve on many academic, government, and industrial advisory committees. Dr. Agarwal is a Fellow eighteen societies including the Institute of Electrical and Electronics Engineers (IEEE), American Association for Advancement of Science (AAAS), American Institute of Aeronautics and Astronautics (AIAA), American Physical Society (APS), American Society of Mechanical Engineers (ASME), Royal Aeronautical Society, Chinese Society of Aeronautics and Astronautics (CSAA), Society of Manufacturing Engineers (SME) and American Society for Engineering Education (ASEE). He has received many prestigious honors and national/international awards from various professional societies and organizations for his research contributions.