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Nicholas Wettels
Machine Learning Researcher at Electromagnetic Systems
Nicholas Wettels is a prominent Machine Learning Researcher at Electromagnetic Systems Inc. (EMSI), where he focuses on radar automated target recognition software development. His work involves executing advanced research and development contracts primarily with the U.S. government and aerospace companies.45
Educational Background
Wettels holds a Ph.D. in Biomedical Engineering from the University of Southern California (USC), where his dissertation was titled "Biomimetic Tactile Sensor for Grip Control and Object Identification".1 He also has a Master's Degree in Biomedical Engineering from USC and an M.S. in Engineering Management from Old Dominion University. He graduated with a B.S. in Physics from Tulane University in 2000.12
Professional Experience
Wettels has a diverse background that includes significant roles in both academia and industry:
- He co-founded SynTouch, a company focused on touch sensors for robotics, where he served as Chief Operating Officer for four years.1
- He has completed post-doctoral research at NASA's Jet Propulsion Laboratory, working on navigation software for robotic systems.1
- He was the CEO of Perception Robotics, which was later acquired by OnRobot, where he served as R&D Director.15
In addition to his corporate roles, Wettels is a Commander in the U.S. Navy Reserve, with extensive experience as a submarine officer, including active duty tours and reserve assignments focusing on autonomous systems and technology development for naval applications.12
Research Interests
Wettels' research interests encompass:
- Robotics and Machine Learning
- Tactile Sensing Techniques
- Multi-Fingered Manipulation
- Sensor Fusion (integrating various sensing modalities for improved robotic functionality).13
He has authored numerous peer-reviewed articles and holds several patents related to robotics and tactile sensing technologies, contributing significantly to advancements in the field.3
Overall, Nicholas Wettels combines his expertise in machine learning, robotics, and military technology to drive innovation in automated systems at EMSI and beyond.

