Experience

Pendar Technologies

• United States
• Public Safety
• 1 - 100 Employee

• Principal Algorithm Scientist

  • Apr 2022 - Present

• Senior algorithm developer

  • Sep 2015 - May 2022

  Cambridge, Massachusetts



Bowie State University

• United States
• Higher Education
• 700 & Above Employee

• Visiting Assistant Professor

  • Aug 2014 - Aug 2015



Duke University

• United States
• Higher Education
• 700 & Above Employee

• Postdoctoral Associate

  • Jun 2011 - Aug 2014

  In my current position, I have developed iterative, statistical reconstruction algorithms to recover spatially resolved coherent scatter form factors of different materials placed along X-ray beam paths from coded, compressive, X-ray diffraction images. The recovered scatter form factors enable us to identify the materials present in the object phantom under study. The compressive nature of the measurements lead to faster scan times and lower X-ray dosage than are conventionally required by… Show more In my current position, I have developed iterative, statistical reconstruction algorithms to recover spatially resolved coherent scatter form factors of different materials placed along X-ray beam paths from coded, compressive, X-ray diffraction images. The recovered scatter form factors enable us to identify the materials present in the object phantom under study. The compressive nature of the measurements lead to faster scan times and lower X-ray dosage than are conventionally required by X-ray scatter imaging systems. More recently, I have been working towards integrating both X-ray scatter and transmission measurements to further improve the reconstruction accuracy and scan times. Working on this project has given me the opportunity to collaborate with several graduate students, postdoctoral associates and faculty within and outside of Duke.

• Graduate Student

  • Jan 2006 - May 2011

  -- Developed theoretically and practically tractable statistical signal processing algorithms based on maximum penalized likelihood estimation to estimate spectral intensities from photon-limited and distorted observations. Such problems are often encountered in applications such as astronomical imaging, medical imaging and remote sensing. -- Developed target and anomaly detection methods to detect spectral targets by exploiting the theory of compressive sensing. These methods perform… Show more -- Developed theoretically and practically tractable statistical signal processing algorithms based on maximum penalized likelihood estimation to estimate spectral intensities from photon-limited and distorted observations. Such problems are often encountered in applications such as astronomical imaging, medical imaging and remote sensing. -- Developed target and anomaly detection methods to detect spectral targets by exploiting the theory of compressive sensing. These methods perform target detection from fewer measurements compared to those conventionally required by spectral sensors.



LTI - Larsen & Toubro Infotech

• India
• IT Services and IT Consulting
• 700 & Above Employee

• Embedded Systems Engineer

  • Aug 2002 - Sep 2004

  Mysuru Area, India - Part of the team that worked to create an ultrasound machine called Sonnet that was designed to be - Six-sigma quality control representative of the Sonnet team, responsible for the maintenance of accurate documentation of the project. I served as my technical group’s liaison with the quality control department.