Ted Nowak

Research interests: As a researcher with diverse experience in robotics, machine learning, and the maritime domain, I seek to develop technologies to help monitor natural resources, and enable exploration of the natural world. As I’ve charted a path from deep learning research to field robotics, I’ve worked on problems spanning deep network compression, AI ethics, adversarial machine learning, deep learning on 3D and 4D sensors, robotics system development, multi-object tracking, distributed sensor networks, and classical computer vision. Going forward, I hope to continue to bridge the gap between robotics, deep learning, and field research in order to develop new ways to understand and appreciate the world around us.

Previously, I received a M.S. in Robotics from the University of Michigan during which I co-instructed the graduate-level Robotics Systems Lab course with Ella Atkins, Shai Revzen, Chad Jenkins, and Peter Gaskell. During my Masters I also conducted research in deep neural network compression with Jason Corso, and with whom I had previously worked as a staff Research Engineer. I also previously worked at Seale Studios - an independent artist studio that uses technology to create art displays - interned at National Instruments as an Analog Hardware Engineer, was a teaching assistant for the Introduction to Circuits course at Case Western Reserve University for 4 semesters, and conducted research in the Case Neural Engineering Center with Thomas Ladas and Dominique Durand.