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Sadr, Reza Associate Professor


Dr. Sadr research interests include experimental techniques in thermo/fluid science with a focus on Advanced Energy Efficient Systems. He has active projects in nano/micro-fluids, droplets and sprays, alternative and bio fuels, atmospheric turbulence, and super critical fluid flows.

Dr. Sadr's Ph.D. research was on the experimental investigation of turbulent particulated coaxial jets using Molecular Tagging Velocimetry (MTV). These flow fields are of interest due to their application in coal combustion process and greenhouse gas production. He later extended his MTV expertise to study flow field inside IC engines. Dr. Sadr continued his work at the Georgia Institute of Technology on experimental methods in micro-, nano-flows and electroosmotic fluid mechanics. Micro- nano-fluidic systems, such as Lab-On-a-Chip and ?TAS, are the emerging technologies that require new understanding of the fundamental sciences in this field. His work on nano particle movement in fluids is focused on the novel techniques in particulated flow at micro and nano scale where Brownian motion is a major factor. Dr. Sadr is pioneer in development and application of nanoPIV for near wall fluid flow measurement.

Upon joining Texas A&M, Dr. Sadr focused his attention on the Advanced Energy Efficient Systems on several fronts at the Qatar campus. He continued his work on micro/nano fluidics for bio applications and Brownian motion. Furthermore, he initiated an active research on thermo-hydraulics of super critical CO2 flows and potentials of CO2-hydrocarbon based refrigerants, with a recent support funded by Shell. He has also successfully worked with Rolls-Royce, German Aerospace Institute (DLR), and Shell Inc. for spray and combustion characterization of Gas-to-Liquid (GTL) Fuel. He is continuing his work in studying Atmospheric Surface Layer (ASL) in Qatar to characterize pollution dispersion and potential wind energy applications in this region. Dr. Sadr is a member of ASME and APS.

HR job title

  • Professor