David Feil-Seifer
Professor, Graduate Director He, him, his- Department: w88 online casino betting Science & Engineering
- Phone: (775) 784-6469
- Email: dave@cse.unr.edu
- Building: WPEB
- Room: 303
- Mailstop: 0171
- Website: Dr. Feil-Seifer's website
David Feil-Seifer studied w88 online casino betting science for his undergraduate degree at the University of Rochester, M.S. and Ph.D. at the University of Southern California, and postdoctoral associate at Yale University.
He has been the leader of his undergraduate robotics competition team, robotics competition coach, and w88 online casino betting mentor to 45 undergraduates.
He was the winner of the Association for the Advancement of Artificial Intelligence (AAAI) Robot Host Competition (2002). He received the Mellon Mentoring award in 2007. In 2011, he was awarded a National Science Foundation Computing Innovation Fellowship, the USC Order of Areté. In 2012, he received the USC w88 online casino betting Best Dissertation Award.
He is a member of IEEE and ACM.
- Ph.D., w88 online casino betting Science, University of Southern California, 2012
- M.S., w88 online casino betting Science, University of Southern California, 2007
- B.S., w88 online casino betting Science, University of Rochester, 2003
Prospective graduate students
I am recruiting Ph.D. students for Fall and Spring terms. Prospective Ph.D. students should apply to the University and then get in contact with me if you are interested in working in my lab. I prefer to be contacted by email, and please include a copy of your CV.
w88 online casino betting interests
- Robotics
- Socially assistive robotics
- Human-robot interaction
- Machine learning
- Cybersecurity
- w88 online casino betting education
- Ethics in computing
Publications
For my recent publications, see myGoogle Scholar Page.
Courses taught
- CS 135: Introduction to Programming
- CS 425/625: Software w88 online casino betting
- CS 482/682: Artificial Intelligence
- CS 791: Robotics For Humanity
- CS 791: Robotic Manipulators
- CS 791: Machine Learning - Applications