Pedro Rodriguez
Principal Machine Learning Researcher at the Johns Hopkins University Applied Physics Laboratory
- Role
- Branch Supervisor at Johns Hopkins Applied Physics Laboratory
- Location
- Laurel, MD, US
- LinkedIn followers
- 500 followers
About Pedro Rodriguez
Leading various DoD and IC projects bringing image processing and target recognition algorithms to the tactical edge. Developing deep learning solutions for constrained environments, i.e, processing, networking and sparse data.
Experience
Branch Supervisor
Johns Hopkins Applied Physics Laboratory
Oct 2023 — Present · Laurel, MD, US
Leading four technical groups focused on operational AI for multiple sponsors on the DoD.
Education
University of Puerto Rico-Mayaguez
Bachelor of Science (B.S.), Electrical and Electronics Engineering
1999 — 2004
University of Maryland Baltimore County
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering
2007 — 2013
The Johns Hopkins University
Master of Science (M.S.), Bioengineering and Biomedical Engineering
2004 — 2006
Skills
- Machine Learning
- Simulations
- Software Development
- Sensors
- Digital Signal Processing
- Systems Engineering
- Programming
- Dod
- Signal Processing
- Pattern Recognition
- Algorithm Development
- Image Processing
- Matlab
- Deep Learning
- Algorithms
- C++
- U.s. Department of Defense
- Idl
- Biomedical Engineering
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