Foluso Ladeinde / 폴루서 라덴대

Email: foluso.ladeinde@stonybrook.edu

Phone: +82-32-626-1800

Office: Academic Building B619
 


Education:

1988, Ph.D., Cornell University, Mechanical & Aerospace Engineering

1986, M.Eng., Cornell University, Mechanical Engineering

1984, M.S., Cornell University

 

Experience:

  • 2015–Present, Founding Chairman/Head of Department of Mechanical Engineering, State University of New York (SUNY) Korea
  • 1997, Tenured and Promoted, Associate Professor, Dept. Mechanical Engineering, Stony Brook University
  • 1996-2015, Present Visiting Scientist in High Energy Physics, Brookhaven National Laboratory
  • 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.
  • 1987-1988, Post-Doctoral Associate, Department of Mechanical & Aerospace Engineering, Cornell University

Research Areas:

  • Theoretical and computational fluid dynamics
  • Flow turbulence
  • Chemically-reactive subsonic and supersonic flows
  • Applied mathematics
  • Aerodynamic noise prediction and reduction
  • Wind turbine aerodynamics

 

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.


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.

 

Curriculum Development

Presided over one of the most comprehensive graduate curriculum changes in the Mechanical Engineering Department at Stony Brook University; successfully petitioned for the introduction of the following courses (course developers and petition dates are shown):

 

MEC 507: Mathematical Methods in Engng. Analysis I (F. Ladeinde & A. Kushner) – 2/26/1999

MEC 508: Mathematical Methods in Engng. Analysis II (F. Ladeinde & A. Kushner) – 2/26/1999

MEC 575: Introduction to MEMS (I. Kao) – 10/15/1999

MEC 500: Introduction to Computer Integrated Design and Manufacturing (J. Ge) – 2/21/2000

MEC 506: Energy Management in Commercial Buildings (F. Ladeinde & V. Prasad) – 2/21/2000

MEC 510: Object Oriented Programming for Scientists and Engineers (J. Ge) – 2/21/2000

MEC 576: Microfluidics and Microscale Heat Transfer (J. Longtin) – 2/21/2000

MEC 578: Reliability and Life Prediction of Electromechanical Systems (Alonso) – 2/21/2000

MEC 579: Optomechanical Engineering (F.-P. Chiang & P. Huang) – 2/21/2000

 

Graduate Courses Developed at SBU Stony Brook

MEC 507: Mathematical Methods in Engineering Analysis I (With A. Kushner)

MEC 508: Mathematical Methods in Engineering Analysis II (With A. Kushner)

MEC 506: Energy Management in Commercial Buildings (With V. Prasad)

MEC 564: Fundamentals of Aerodynamics (Spring 2014)

MEC 565: Aircraft Propulsion (Spring 2014)

 

Undergraduate Courses Developed at SBU Stony Brook

MEC 320: Numerical Analysis and Engineering Design Optimization (Fall 2012)

MEC 412: Computer-Aided Design II - Fluids and Thermal Sciences

MEC 422: Thermal System Design (Now a Required Course)

MEC 423: Introduction to Turbomachinery

MEC 464: Fundamentals of Aerodynamics

MEC 465: Aircraft Propulsion

 

Representative Major Publications (out of 640 publications)

 

  • 2017, AIAA Paper AIAA 2017-0342
  • 2014, ASME Journal of Fluids Engineering, Vol. 136, pp. 101203.
  • 2010, AIAA Journal, Vol. 48, No. 3, March 2010, pp. 513
  • 2007, Int. Journal of Thermodynamics, Volume 9, No 4, pp. 193-205.
  • 2006, Physics of Fluids, Vol. 18, pp. 88102.
  • 2004, Physics of Fluids Vol. 16 (6), pp. 1997-2021.
  • 2002, Physics of Fluids, Vol. 14 (9), pp. 2968-2986.
  • 1997, Physics of Fluids, Vol. 9 (6), pp. 1754 – 1762.
  • 1996, The Journal of Scientific Computing, Vol. 38 (11), pp. 215-242.
  • 1995, Physics of Fluids, Vol. 48 (11), pp. 2848-2857.
  • 1995, AIAA Journal, Vol. 33, No. 7, pp. 1185-1195.
  • 1994, Journal of Computational Mechanics, Vol. 15 (6), pp. 511-520
  • 1993, Journal of Applied Mathematical Modeling, Vol. 18, pp. 347-357.
  • 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 been based 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.

Picture of Prof. Ladeinde's Research.png

Effects of equivalence ratio (ER) on the OH radical in hydrogen-air supersonic combustion in dual-mode scramjets. Results obtained from mathematical modeling and simulation of real systems.