Dr. Ben Hendrickson

Photo of Ben Hendrickson.

I received my applied physics PhD at Portland State University with a focus on radiation induced noise in CMOS image sensors. My research interest has included broad aspects of digital imagers, from hardware design to signal analysis. Skilled in sensor characterization, image processing algorithms, image analysis, color science, noise mitigation techniques, Python, and MATLAB.

Qualifications

Professional Experience

Metrology and Characterization Consultant
Transformative Optics Corp.
Oct. 2022 – Present
Image Science Consultant
Artify.ai
Feb. 2022 – Present
Image Scientist
Signature Research Inc.
Oct. 2019 – Present
Teaching Assistant, Department of Physics
Portland State University
Sept. 2014 – June 2019
Independent Contractor
Medical College of Wisconsin
Jan. 2018 – June 2018
Founder and Tech Lead
Baldr Solar
May 2014 – Sept. 2015
Tech Development Intern
ON Semiconductor
July 2014 – Sept. 2014
Planetarium & Observatory Lecturer
Allen F. Blocher Planetarium
June 2010 – May 2013

Field Research

Student Research Assistant
Kitt Peak National Observatory
April 2011 & April 2013
  • Operated WIYN 0.9m telescope and observatory & MOSAIC 2.0 CCD camera
  • Wrote automation scripts for data retrieval
Student Research Assistant
National Astronomy and Ionosphere Center
January 2012
  • Operated Arecibo Radio Telescope
  • Performed measurements of 21 cm emissions

Education

Ph.D. Applied Physics
Portland State University
June 2018 – Dec. 2019
Dissertation: Radiation Defects in Silicon Image Sensors
M.S. Physics
Portland State University
Sept. 2013 – June 2018
Thesis: Dark Current RTS-Noise in Silicon Image Sensors
B.S. Physics
Univ. of Wisconsin - Stevens Point
Sept. 2007 – June 2013

Academic Experience

Graduate Student Researcher
Portland State University
Sept. 2013 – present
  • Development of driver circuit for analysis and characterization of CMOS imagers
  • Conducted irradiation of image sensors for defect characterization
  • Developed wavelet-based de-noising algorithm for RTS noise analysis
  • Developed tensorflow-based model to find RTS pixels hidden in large arrays
Teaching Assistant—IOLab Pilot Program
Portland State University
Sept. 2016 – Sept. 2017
  • Implemented an interactive physics lab experience
  • Collected testing and survey data to gauge educational impact
Undergraduate Researcher - ALFALFA1 Project
Univ. of Wisconsin - Stevens Point
Jan. 2010 – May 2013
  • Organized volumes of data using LINUX scripts
  • Developed methodologies for large image data reduction
1 Arecibo Legacy Fast ALFA Survey http://egg.astro.cornell.edu/index.php/

Publications and Presentations

Synthetic Augmentation Methods for Object Detection in Infrared Overhead Imagery
Nicholas Hamilton, Adam Webb, Matt Wilder, Ben Hendrickson, Matt Blanck, Erin Nelson, Wiley Roemer, and Timothy C. Havens
To be presented at Automatic Target Recognition XXXIII (SPIE Defense + Commercial Sensing)
Augmentation Methods and Explainable AI for Object Detection in Overhead Infrared Imagery
Nicholas Hamilton, Adam Webb, Ben Hendrickson, Matt Blanck, Erin Nelson, Wiley Roemer, and Timothy C. Havens
Presented at Automatic Target Recognition XXXI (SPIE Defense + Commercial Sensing)
Random Telegraph Signal: Non-Linear Dynamics and Non-Linear Analysis (2019)
Hendrickson, B.
Oak Ridge National Laboratory (Oak Ridge, TN)
Detection and Reconstruction of Noisy Bistable Stochastic Time Domain Signals Using Machine Learning
Hendrickson, B., Widenhorn, R., DeStefano, Paul R., and Bodegom, E.
Manuscript submitted for publication
ML Reconstruction of Random Telegraph Signal Pixels
Hendrickson, B.
Presented at ML4ALL, 2019; Portland, OR
Machine Learning with TensorFlow
Hendrickson, B.
Presented to Portland State University Physics Society; 2019; Portland, OR
Wavelet Analysis of RTS Noise in CMOS Image Sensors Irradiated With High-Energy Photons
Hendrickson, B., Widenhorn, R., Blouke, M., Heidtmann, D., Bodegom, E.
IEEE Transactions on Nuclear Science, vol. 67, no. 7, pp. 1732-1737, July 2020.
A Comparison Between Noise Reduction & Analysis Techniques for Random Telegraph Signal Pixels
Hendrickson, B., Widenhorn, R., Blouke, M., Heidtmann, D., Bodegom, E.
Presented at 2019 IS&T International Symposium on Electronic Imaging; 2019 Jan 13-17; Burlingame, CA.
Using wavelets to analyze RTS noise in irradiated CMOS image sensors
Hendrickson, B., Widenhorn, R., Blouke, M., Heidtmann, D., Bodegom, E.
Presented at 2018 IS&T International Symposium on Electronic Imaging; 2018 Jan 28-2 Feb; Burlingame, CA.
Wavelets and You!
Hendrickson, B.
Presented to Portland State University Physics Society; 2017; Portland, OR
Using Wavelets to Remove Unwanted Noise from Discrete Signals
Hendrickson, B.
Presented at 2017 Portland State University Research Symposium; 2017; Portland, OR
Hydrogen-alpha image reduction with IRAF
Hendrickson, B.
Presented at 2012 ALFALFA Team Workshop; 2012; Arecibo, PR