Sohail R. Reddy

ORCID: 0000-0001-6882-9737
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About
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Research Areas
  • Heat Transfer and Optimization
  • Computational Fluid Dynamics and Aerodynamics
  • Probabilistic and Robust Engineering Design
  • Advanced Multi-Objective Optimization Algorithms
  • Wind and Air Flow Studies
  • Turbomachinery Performance and Optimization
  • Meteorological Phenomena and Simulations
  • Heat Transfer and Boiling Studies
  • Wind Energy Research and Development
  • Model Reduction and Neural Networks
  • Numerical methods in inverse problems
  • Composite Material Mechanics
  • Tropical and Extratropical Cyclones Research
  • Thermal properties of materials
  • Advanced Numerical Methods in Computational Mathematics
  • Silicon Carbide Semiconductor Technologies
  • Ocean Waves and Remote Sensing
  • Quantum Information and Cryptography
  • Optimal Experimental Design Methods
  • Quantum Computing Algorithms and Architecture
  • Markov Chains and Monte Carlo Methods
  • Cavitation Phenomena in Pumps
  • Fluid Dynamics and Turbulent Flows
  • Electrical and Bioimpedance Tomography
  • Earthquake and Tsunami Effects

Lawrence Livermore National Laboratory
2023-2024

Naval Postgraduate School
2020-2023

Government of the United States of America
2023

Florida International University
2015-2022

Stanford Synchrotron Radiation Lightsource
2022

SLAC National Accelerator Laboratory
2022

United States Naval Academy
2021

University of Denver
2019

Abstract This work presents an efficient approach for accelerating multilevel Markov Chain Monte Carlo (MCMC) sampling large-scale problems using low-fidelity machine learning models. While conventional techniques Bayesian inference often substitute computationally expensive high-fidelity models with models, thereby introducing approximation errors, our offers a alternative by augmenting ones within hierarchical framework. The utilizes the model (MLM) inexpensive evaluation of proposed...

10.1088/1402-4896/adb52a article EN Physica Scripta 2025-02-12

This article presents fully three-dimensional conjugate heat transfer analysis and a multi-objective, constrained optimization to find sizes of pin-fins, inlet water pressure, average speed for arrays micro pin-fins used in the forced convection cooling an integrated circuit with uniformly heated 4 × 3 mm footprint centrally located 0.5 hot spot. Sizes having cross sections shaped as circles, symmetric airfoils, convex lenses are optimized completely remove due steady, uniform flux 500 W...

10.1080/01457632.2016.1242953 article EN Heat Transfer Engineering 2016-09-29

The wing tip device in this study was to mimic the tips of a soaring bird, featuring three smoothly blended elements. Each such multi-element winglet integrated into complete wing–tail–body aircraft configuration. geometry each elements defined using 11 parameters, totaling 33 parameters for geometry. This design methodology used three-dimensional generation algorithm based on locally analytical connected surface patches, allowing creation vastly diverse geometries with minimal number...

10.2514/1.c033334 article EN Journal of Aircraft 2015-11-12

Purpose This paper aims to solve the parameter identification problem estimate parameters in electrochemical models of lithium-ion battery. Design/methodology/approach The estimation framework is applied Doyle-Fuller-Newman (DFN) model containing a total 44 parameters. DFN fit experimental data obtained through cycling Li-ion cells. performed by minimizing least-squares difference between experimentally measured and numerically computed voltage curves. minimization using state-of-the-art...

10.1108/compel-12-2018-0533 article EN COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 2019-08-08

The work presented in this paper used rigorous 3D flow-field analysis combined with multi-objective constrained shape design optimization for the of complete blade + bladelet configurations a three-blade horizontal-axis wind turbine. fluid flow was performed using Openfoam software. 3D, steady, incompressible, turbulent Reynolds-Averaged Navier–Stokes equations were solved rotating frame reference each combination turbine and geometry. free stream uniform speed all cases assumed to be 9 m...

10.1115/1.4043657 article EN Journal of Solar Energy Engineering 2019-05-03

Various configurations of aircraft wing tip devices have been investigated by performing 3D aerodynamics analysis. The device in this study was derived from the tips a soaring bird, featuring three smoothly blended elements. Each multi-winglet configuration integrated into complete wing-tail-body configuration. Geometry each elements defined using 11 parameters, totaling 33 parameters defining geometry. current design methodology utilized second order, geometry generation algorithm based on...

10.2514/6.2015-1489 article EN 53rd AIAA Aerospace Sciences Meeting 2015-01-03

Given a micro pin-fin array cooling scheme with these constraints: (a) given maximum allowable temperature of the material (the hot spot temperature), (b) inlet fluid temperature, (c) total pressure loss (pumping power affordable), and (d) overall thickness entire array, find possible average heat flux on surface at under condition that amount inputted is removed by fluid. The goal was to create an optimum performance map for having specified coolant temperature. Fully 3D conjugate transfer...

10.1080/01457632.2016.1239924 article EN Heat Transfer Engineering 2016-09-26

10.1016/j.ijheatmasstransfer.2019.06.014 article EN publisher-specific-oa International Journal of Heat and Mass Transfer 2019-07-20

10.1016/j.asoc.2022.109484 article EN publisher-specific-oa Applied Soft Computing 2022-08-18

Abstract Material properties such as thermal conductivity, magnetic permeability, electric permittivity, modulus of elasticity, Poisson's ratio, expansion coefficient, etc. can vary spatially throughout a given solid object it is the case in functionally graded materials. Finding this spatial variation an inverse problem that requires boundary values field quantity temperature, potential or and its derivatives normal to boundaries. In paper, we solve direct predicting distribution variable...

10.1515/jiip-2015-0057 article EN Journal of Inverse and Ill-Posed Problems 2016-03-22

An inverse parameter estimation methodology for non-destructive simultaneous of spatially varying thermal conductivity and specific heat in arbitrary 2D solid objects was developed that requires only boundary measurements temperature. The spatial distributions the two physical properties were specified by analytic functions involving unknown parameters need to be determined minimizing normalized sum least-squares differences between measured calculated values temperatures. minimization...

10.1080/17415977.2019.1578352 article EN Inverse Problems in Science and Engineering 2019-02-21

The ability of various arrays micro pin-fins to reduce maximum temperature an integrated circuit with a 4 × 3 mm footprint and 0.5 hot spot was investigated numerically. Micro having circular, symmetric airfoil convex lens cross sections were optimized handle background uniform heat flux 500 W cm−2 2000 cm−2. A fully three-dimensional conjugate transfer analysis performed multi-objective, constrained optimization carried out find design for each pin-fin shape capable cooling such high...

10.1115/ipack2015-48242 article EN 2015-07-06

The effects of thin film coating on maximum temperature integrated electric circuits are investigated. A fully three-dimensional conjugate heat transfer analysis was performed to investigate the material and thickness a hot spot. Two different materials, diamond graphene nano-platelets were simulated as materials for films. spreaders applied top wall three optimized arrays micro pin-fins having circular, airfoil convex cross sections. electronic chip with 4 × 3 mm footprint featured 0.5 spot...

10.1115/imece2015-52804 article EN 2015-11-13
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