Tejas Nair

Experience

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  ABB

  May 2004 - Jun 2004

  Intern

  => Designed a 8051 microcontroller based power loss measuring device for improved power transmission efficiency

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  University of Utah - Employment

  Sept 2005 - Apr 2007

  Research Assistant

  => Developed an analytic technique for calibration of cone beam CT Scanners, which will lead to improved clinical image quality for better diagnosis=> Mathematically modeled and simulated the calibration algorithm in MATLAB

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  Philips

  May 2007 - Dec 2007

  Co-op - CT Physics & System Engineering

  => Developed and integrated calibration algorithms written in MATLAB into the workflow of multislice CT Scanners=> Developed Image Analysis tools in MATLAB=> Performed evaluation and integration of X-ray tubes for Product development

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  Nevada Cancer Institute

  Sept 2008 - Apr 2011

  Imaging Researcher

  => Developed image processing tools for MRI image reconstruction and quantifying blood perfusion in the brain using arterial spin labeled data=> Developed pulse sequence programs (in IDEA) for perfusion imaging applications on Siemens MRI scanner=> Worked on developing and integrating algorithms for respiratory organ motion compensation into perfusion imaging applications=> Investigated applications of conductive nanoparticles for RF hyperthermia using MRI

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  GE HealthCare

  May 2011 - Nov 2014

  System Specialist

  => Research and development of lung nodule classification and segmentation algorithm ---- Proposed a new statistics based approach to classify and segment lung nodules=> Developed advanced features into the 4D visualization platform for MR and CT applications ---- Resolved software issues in LungVCAR (Lung nodule assessment visualization software).=> Lead System Designer (LSD) for Dentascan, a dental CT visualization software for implant surgery planning.---- Research advanced visualization features---- Involved in fixing critical complaints from the CT customers Show less

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  Samsung Electronics

  Dec 2014 - Apr 2022

  Staff Engineer

  => Machine Learning based Image Processing---- Deep Learning based end to end Camera ISP development for image denoising, demosaicking, AWB, HDR, tone-mapping, color conversion etc. using an RNN based architecture.---- Deep learning based low light image enhancement for smartphone camera using a UNet based architecture with supervised learning for denoising and zero reference low light enhancement.---- Deep learning based image denoising for camera using a ResNet based architecture.=> Machine Learning based HDR Video Processing---- Deep learning based dynamic tone-mapping for HDR videos using a CNN based architecture.---- AI based HDR to improve HDR10+ video quality using a CNN based architecture=> Medical Image Processing ---- Developed image segmentation algorithms for lung fissures and lobes in CT images---- Emphysema quantification in the segmented lung regions=> Augmented Reality ---- Multiview Image content and pixel mapping algorithms for 3D Head up display (HUD) in Automobiles Show less

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  AMD

  May 2022 - now

  Principal Member of Technical Staff