Evelyn J Boettcher

Physicist and Founder

Evelyn J Boettcher: CV

Wide range of skills that enabling quick mastery of any project ranging from data processing and analysis (messy data) to sensor system development. Strong passion for developing prototypes, learning new skill and sharing her knowledge. Currently leads a Machine Learning Community group and supports a IC mission to integrate ML/AI to automate workflows.
Over 20 years of experience supporting DoD, Universities, and Industries. 14 years of experience with Passive Sensor Imagery and 15 years of experience with algorithm development, implementation and integration. She currently leads a Machine Learning Community group and is a Women Techmakers Ambassador. She has also received patents for electro-optical devices (# 6,738,536 #; 6,944,372). Lastly, she enjoys supporting STEM activities for youth and is building a MagNav STEM IoT activity.
Evelyn panda talk

PHYSICIST / Founder

EDUCATION

  • Master of Science: Physics (2000)
    • University of Maryland, College Park, MD
  • Bachelor of Science: Physics, Highest Honors (1997)
    • University of Florida, Gainesville, FL

TECHNICAL SKILLS

  • Machine Learning and Data Science:
    • Processing and analysis of large data
    • ETL: Sensor data to algorithm to decision
    • Developed ML algorithms for target feature extraction and prediction
  • Teaching:
    • Developed customized Python courses
    • Promoted STEM through free workshops
  • Skills:
    • Integrated hardware development & hardware prototyping
    • API development, algorithm analysis & development
    • Image metrology: Camera calibration & measure extraction
    • Version Control: Git, GitHub, GitLab
  • Sensors:
    • Magnetic, Thermal (MWIR, LWIR, passive mmW), SWIR
    • Hyperspectral Imagery (HSI), LiDAR, Visible Imaging and Video (FMV)
  • Programming:
    • Software: Python, JavaScript/HTML, bash, C, Tensorflow,
    • Image and Video Processing: Python, JavaScript, MatLab, GIMP, ImageJ
    • Design: OpenScad, InkScape, Eagle
    • Web Development: Quarto, Flask, 11ty, Jekyll
  • Systems:
    • Linux, CentOS, Arduino, EPS32, Raspberry Pi, Docker
  • Community Engagement:
    • GemCityML: Founded and leads a monthly AI/ML group
    • GemCity TECH: Board Member
    • Google Women Tech Maker Ambassador

PROFESSIONAL EXPERIENCE

BlueHalo - 2022 – Feb 2024

Senior Principal Scientist

  • Automated Line of Sight (LOS) analysts' report creation. Developed application and tested on production system via a micro service. First implemented micro service within group.
  • Automation involved implementation of multiple algorithms from Neural Networks (NN), clustering, linear regression to clean and filter raw sensor data to retrack, stitch and characterize/identify track and track objects.
  • Collaborated with cross-functional teams to develop technical content for business proposals for sensor technology projects.
  • Authored comprehensive white papers detailing the findings and implications of AI for automation and sensor detection.

DiDacTex, LLC - May 2014 – Present

Founder / Principal

  • Built AFIT ANT Center’s first MagInABox (mag nav system) and tested it on a C17
  • Magnetic Navigation: Designed, built and tested a magnetic navigation sensor system. Involved designing PCB boards, programming micro processors (C) and created a visualization system (Python) to detect magnetic fields. Her sensor system is currently being flown.
  • Python Course: Developed and taught two different python courses customized to AFIT’s needs. Students learned a range of skills including how to code an algorithm from a paper.
  • Provided SME for a wide range of fields: Python, EO and Thermal Sensing, Git and AWS for AFRL Sensor Directorate
  • UAS Detection from a LiDAR sensor using IP cameras. Wrote the video processing capture that streamed from IP cameras. Processed the images to detect the UAS in python.
  • Processed LWIR HSI data to feed into DARPA’s InSight system
  • Simulated LiDAR image using ROS (Robot OS) that where then used to train a LiDAR ML algorithm and run the LiDAR ML algorithm in a simulated environment.
  • Developed a client side web application to render 3D models for AFRL’s Target Model Library
  • Developed and published android applications for DiDacTex’s internal efforts
  • Maintainer and Feature Developer to AFRL Visual Annotator (AVA) truthing tool
  • Works closely with AFRL customer to develop and standardize a new research development
  • Technical lead for a new research areas withing AFRL which successfully, integrated automatic target recognition software from a variety of languages and modalities
  • Wrote and presented presentations at classified conferences: MSS and ATRWG

InfoSciTex (a DCS Corporation) - Sept. 2012- April 2015

Physicist / Technical Leader

  • Led the Automatic Human Threat Detection group for AFRL’s Human MASINT program
  • Conducted research on automatic classification of humans in EO imagery and Radar signatures

Jacobs - Sept. 2011-Sept. 2012

Physicist

  • Conducted research on Hyperspectral Imagery (HSI) at Wright Patterson AFB

DCS Corporation - OCT. 2006- April 2010

Electrical Engineer III

  • Provided engineering support to the Modeling and Simulation Division in Field Performance Branch
  • Conducted various tests on human perception and sensor performance

C-COR (Optinel Systems, Inc.) - Aug. 2000-March 2003

Electico-Optical Engineer

  • Acquired two patents as lead investigator
  • Produced and shipped the first Fiber Gratings to customers

VOLUNTEERING AND CERTIFICATIONS

  • Gem City Tech ML/AI: Runs a Dayton, OH local meet-up for machine learning and AI professionals
  • Co-hosted a Django Girls workshop in Dayton, OH
  • DeepLearning.AI TensorFlow Developer Professional Certificate (2022)
  • Various certifications in Machine Learning and Natural Language Processing

PUBLICATIONS AS HEAD AUTHOR

  • “Create an Intermittent Fan Controller with Python” (Sept. 2022)
  • “Modeling Passive Millimeter Wave Imaging Sensor Performance for Discriminating Small Watercraft” (2010)
  • “Experimental Determination of Visibility Modeling Parameters for Aircraft” (2010)
  • “New Target Acquisition Task for Contemporary Operating Environments: Personnel in MWIR, LWIR, and SWIR” (2010)
  • “Human Activity Discrimination for Maritime Application” (2008)
  • Patents: #6,738,536 and #6,944,372

CERTIFICATIONS AND TRAINING

  • Unsupervised Learning, Recommenders, Reinforcement Learning, 2022
  • Natural Language Processing in TensorFlow, 2022
  • Scripting with Python and SQL for Data Engineers, 2022

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