George S. Dulikravich, Ph.D.
Profile
George S. Dulikravich, Ph.D.
Fellow AAM, Fellow ASME, Fellow RAeS, Associate Fellow AIAA
Dr. Dulikravich is a recently retired Full Professor whose research expertise and interests are computational and analytical, spanning the fields of aerospace, mechanical, industrial, materials, biomedical, electrical and chemical engineering. He has a diverse educational background in mechanical and aerospace engineering and applied mathematics including private (Ph.D.-Cornell’79), public (M.Sc.-Minnesota’75) and international (Dipl.Ing.-Belgrade’73) schooling, three years of visiting research and teaching experience both domestic (NASA-GRC) and international (DFVLR-Goettingen), and 41 years of teaching and research experience at four universities (UT-Austin, Penn State, UT-Arlington, FIU). He held the positions of Graduate Program Director (UTA), Founder and Institute Director (UTA), Founder and Lab Director (FIU), and Department Chair (FIU) during 2003-2009.
Dr. Dulikravich´s international recognition has made him a visiting scholar in several top universities around the globe, a plenary/keynote lecturer at major international conferences and a member of the editorial boards of many well-ranked technical journals. He is an associate fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a fellow of American Society of Mechanical Engineers (ASME), American Academy of Mechanics (AAM) and Royal Aeronautical Society (RAeS), and a recipient of several international awards.
His research has been funded by NSF, NASA, AFOSR, ARO, ONR, DoD, DoE, NETL, ALCOA, LLNL, Lockheed Martin Skunk Works, GE, Medtronics, Millipore, CRDF, HPTi, Bell Helicopters, NAVAIR, Touchstone Research Laboratories, TKelvin, DARPA, CNPq, ORNL and UCAH.
Multidisciplinary Computational Research
Click on the below videos to view examples of Dr. Dulikravich's multidisciplinary advanced computational research involving several interacting engineering disciplines such as fluid dynamics, solid mechanics, heat transfer, electro-magnetics and chemistry. The problems that could be numerically simulated and graphically visualized are analysis problems, inverse design and detection problems, and a variety of design optimization and control problems. Numerical techniques used in this software include meshless methods, finite differencing, finite elements, spectral elements, boundary elements, and finite volumes on structured, non-structured, and hybrid computational grids.
