Saeb Ragani Lamooki is a skilled Data Scientist at Kelvin Inc. since February 2022, specializing in signal processing, time-series event detection, and automation algorithms in the oil and gas sector. Prior experience includes serving as a Research Assistant at the University at Buffalo, focusing on upper limb kinematics and ergonomic risk assessment, and a Signal Processing Engineer at GraphWear Technologies Inc., where continuous glucose monitoring from wearable sensors was a primary focus. Saeb also contributed to CFD simulations and in-vitro validation at the Canon Stroke and Vascular Research Center and evaluated imaging modalities as a CFD Engineer at Med-X Research Institute. Additional roles included teaching thermodynamics at the University at Buffalo and conducting graduate research on CFD and heat transfer at Eastern Mediterranean University. Saeb holds a PhD in Mechanical Engineering from the University at Buffalo, a Master's degree from Eastern Mediterranean University, and a Bachelor's degree from K. N. Toosi University of Technology.
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