David Feil-seifer

Professor Of Computer Science & Engineering At University Of Nevada, Reno at University of Nevada, Reno

Reno, Nevada, United States
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Summary

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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.
code22 years of coding experience
job7 years of employment as a software developer
bookBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Rochester
bookDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Southern California Viterbi School of Engineering
languagesEnglish
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Github Skills (26)

robot10
ros-driver10
ros10
robotics9
urdf8
driver8
firmware8
player8
toolchain7
raspberry-pi6
svn6
cross-platform4
ethercat4
hard-real-time3
java2

Programming languages (5)

C++ForthCMakeJavaScriptPython

Github contributions (5)

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Release repository for the pr2_calibration ROS package. https://github.com/PR2/pr2_calibration
Contributions:184 pushes, 168 branches in 1 day
roboticsros-packageros2calibrationros
PR2/pr2_calibration

Mar 2018 - Jun 2021

Contributions:18 commits, 4 PRs, 1 push in 3 years 3 months
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