Professor Of Computer Science & Engineering At University Of Nevada, Reno at University of Nevada, Reno
Reno, Nevada, United States
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David Feil-seifer is a Professor of Computer Science & Engineering at the University of Nevada, Reno with over two decades of experience advancing socially assistive robotics (SAR) for healthcare applications such as post-stroke rehabilitation, elder care, and autism therapy. He blends rigorous academic research with practical system development, focusing on sensing and interpreting unpredictable human social behaviors so robots can provide personalized, non-physical assistance that augments human caregivers. His career spans roles from postdoctoral research at Yale to industry consulting with robotics leaders like iRobot and Evolution Robotics, reflecting deep ties between theory and applied robotics. Trained with a Ph.D. from USC and a BS from the University of Rochester, he combines long-term academic leadership with a track record of translating SAR algorithms into complete, domain-relevant systems.
22 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Rochester
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Southern California Viterbi School of Engineering
Contributions:18 commits, 4 PRs, 1 push in 3 years 3 months
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David Feil-seifer - Professor Of Computer Science & Engineering At University Of Nevada, Reno at University of Nevada, Reno