Foluso Ladeinde / 폴루서 라덴대

Office: Academic Building B619

Phone: +82-32-626-1800




 Ph. D. Cornell University (USA), Mechanical & Aerospace Engineering (1986-1988)

 M. Eng. Cornell University (USA), Mechanical Engineering (1984-1986)

 M. S. Cornell University (USA) (1981-1984)

 B. Sc. University of Ibadan, Nigeria (Formerly College of the University of London) Technology/Engineering (1975-1979) – First Class Honors



2015 – Present, Chairman/Head of Department of Mechanical Engineering, State University of New York (SUNY) Korea, Incheon, South Korea

2012 Visiting Scholar, Tsinghua University, School of Aeronautical Engineering, Beijing, China (May –August 2012)

1997 Tenured and Promoted, Associate Professor, Dept. Mechanical Engineering, Stony Brook University

1996-2015. Present Visiting Scientist in High Energy Physics, Brookhaven National Laboratory, Upton, New York, USA

2001-2010 Senior Summer Faculty Fellow under NRC and Air Vehicles Directorate of Wright-Patterson Air Force Base Programs (10 Summers)

1991-1997 Assistant Professor, Department of Mechanical Engineering, Stony Brook University

1988-1991 Software & Consulting Engineer, Technalysis, Inc. Indianapolis, Indiana, USA

1987-1988 Post-Doctoral Associate, Department of Mechanical & Aerospace Engineering, Cornell University, Ithaca, New York, USA


Courses Taught:

MEC 100: Introduction to Mechanical Engineering

MEC 102: Engineering Computing and Problem Solving

MEC 320: Numerical Methods in Engineering Design

MEC 393: Engineering Fluid Mechanics

MEC 422: Thermal System Design

MEC 464/564: Fundamentals of Aerodynamics

MEC 465/565: Aerospace Propulsion

MEC 501: Convective Heat Transfer and Heat Exchange

MEC 502: Conduction and Radiation Heat Transfer

MEC 507: Mathematical Methods in Engineering Analysis I

MEC 511: Mechanics of Perfect Fluids

MEC 512: Mechanics of Viscous Fluids

MEC 514: Introduction to Turbulence

MEC 524: Computational Fluid Dynamics and Heat Transfer.


Research Area:

Theoretical and computational fluid dynamics

Turbulent flows

Chemically-reacting subsonic and supersonic flows

Aerodynamic noise prediction and reduction

Advanced Energy Methods


Major Research Achievements:

Dr. Ladeinde has contributed extensively to the knowledge of turbulence in high-speed flows (compressible turbulence), with and without chemical reaction, using the power of massively parallel supercomputers. He investigated the complexity associated with the direct numerical simulation (DNS) of chemically-reacting high-speed mixing layers, with a focus on the prevailing understanding of the three-mode mixing mechanism at the time. He has developed an efficient, parallelized, finite-difference-based essentially non-oscillatory (ENO) procedure for DNS examination of scalar correlation in low Mach number, polytropic, homogeneous turbulence, focusing on three types of flow suggested by theory: nearly incompressible, vertical flow, nearly pure acoustic turbulence, and nearly statistical equipartition of vorticity and compressions. Dr. Ladeinde has also investigated an asymptotic self-similar solution for the one-point probability density function (pdf) equation, as well as DNS of compressible turbulent mixing layers. He has also investigated the advection of mass fraction in forced, homogeneous, compressible turbulence and investigated the turbulence Spectra characteristics of high-order schemes for direct and large eddy simulation. Over the period 2005 through 2012, Dr. Ladeinde carried out extensive U.S. government-funded investigations on noise production, propagation, and reduction for the supersonic Joint Strike Fighter (JSF), using combined physical experimentation carried out at the United Technologies Corporation, and CFD calculations carried out on the parallel clusters at CTC. With his Air Force collaborators, Dr. Ladeinde investigated magnetic Reynolds number effects on decaying magnetohydrodynamic (MHD) turbulence through DNS. He has also studied non-equilibrium (rarefied) interacting jets with massively parallel supercomputers. For this problem, the Navier-Stokes equations are not applicable, so a Direct Simulation Monte-Carlo (DSMC) scheme was used. Finally, more recently, Dr. Ladeinde investigated high-energy physics involving the DOE’s muon-collider project. He is currently developing theories for supersonic combustion, with applications to scramjets.

Dr. Ladeinde has served as an Associate Editor (2009-2013) of the AIAA Journal, the flagship journal of the American Institute of Aeronautics and Astronautics (AIAA), and He is currently serving as an Associate Editor of The Journal of Aerospace Engineering. Dr. Ladeinde’s 2010 paper on scramjet computer simulation won AIAA Best Paper Award.


Representative Major Publications (out of 250 publications)

  1. 2014. ASME Journal of Fluids Engineering, Vol. 136, pp. 101203.
  2. 2010. AIAA Journal, Vol. 48, No. 3, March 2010, pp. 513
  3. 2007. Int. Journal of Thermodynamics, Volume 9, No 4, pp. 193-205.
  4. 2004. Physics of Fluids Vol. 16 (6), pp. 1997-2021
  5. 2002. Physics of Fluids, Vol. 14 (9), pp. 2968-2986
  6. 1996. The Journal of Scientific Computing, Vol. 38 (11), pp. 215-242.
  7. 1995. Physics of Fluids, Vol. 48 (11), pp. 2848-2857.
  8. 1995. AIAA Journal, Vol. 33, No. 7, pp. 1185-1195.
  9. 1991. Journal of Fluid Mechanics, Vol. 228, pp. 361-385.


Lab Name: Advanced Fluid Dynamics Lab (AFDL)

Besides building his own clusters, with NSF funding, a significant part of the simulations by Dr. Ladeinde has beenbased on massively-parallel computer systems in U.S. government-funded research centers. High Performance Computing (HPC) facilities on which he was a PI or Co-PI include the iPSC/860 system acquired with DOE funding by the Applied Mathematics and Statistics department at SBU, the NSF-funded IBM SP/2 facility at Cornell University, the NSF-funded SP/2 facilities at the University of California at San Diego (UCSD), the DoD HPCMO Common High Performance Computing Software Support Initiative (CHSSI) and the supercomputer clusters at the Cornell Theory Center (CTC). He also obtained significant HPC time on the DoD HPC Shared Resource Centers at CEWES and NAVO, and the U.S. Department of Defense’s MSRC Supercomputing facility, as well as significant time on the massively parallel Seawolf supercomputers at SBU and the cluster-based parallel supercomputer facility at Princeton University. Dr. Ladeinde also operated an account on the IBM Blue Gene at BNL. More currently, he has become a PI on the massively parallel supercomputing facilities at SUNY Korea.