I am an Assistant Professor in Electrical & Computer Engineering at UW Seattle, and our Department’s (first) DEI Coordinator (DEI = Diversity, Equity, Inclusion).
I am broadly interested in discovering and formalizing principles of sensorimotor control; I develop and employ data-driven methods and focus on applications in robotics, neuroengineering, and human-cyber-physical systems.
I’ve taught the following courses:
- EE 447 (Control System Analysis) in Fall 2018, Fall 2019, Fall 2020
- AA/EE/ME 546 (Optimization and Learning for Control) in Spring 2018, Winter 2020
- AA/EE/ME 546 (Hybrid Systems: Theory, Computation, and Applications) in Spring 2017
- AA/EE/ME 547 (Linear Systems Theory) in Fall 2015, Fall 2016, Winter 2021
- AA/EE/ME 548 (Linear Multivariable Control) in Winter 2016, Winter 2017, Winter 2019, Spring 2020, Spring 2021
- AA/EE/ME 594 (Robust Control) in Spring 2019
I keep my availability up-to-date on my calendar — I’m usually available in any open slot 9a–5p pt M–F.
I welcome suggestions for updates to my website.
I identify as a white hetero cis male. I am proud to be a father, husband, and first-generation college graduate.
My pronouns are he/him/his.
Sam Burden earned his BS with Honors in Electrical Engineering from the University of Washington in Seattle in 2008. He earned his PhD in Electrical Engineering and Computer Sciences from the University of California in Berkeley in 2014, where he subsequently spent one year as a Postdoctoral Scholar. In 2015, he returned to UW EE (now ECE) as an Assistant Professor; in 2016, he received a Young Investigator Program award from the Army Research Office (ARO-YIP) Mechanical Sciences division; in 2021, he received a CAREER award from the National Science Foundation Mind, Machine, Motor Nexus (NSF-M3X) program. Sam is broadly interested in discovering and formalizing principles of sensorimotor control. Specifically, he focuses on applications in robotics, neuroengineering, and (human-)cyber-physical systems. In his spare time, he teaches robotics to students of all ages in classrooms and campus events.
2021 — NSF CAREER – Mind, Machine, Motor Nexus (M3X)
2016 — ARO Young Investigator Program – Mechanical Sciences
2015 — Washington Research Foundation Early Faculty Fellow
2011 — UC Berkeley Outstanding Graduate Student Instructor
2009 — NSF Graduate Research Fellowship
2007 — COMAP Mathematical Contest in Modeling (MCM) Outstanding Winner, MAA Prize
I am always eager to recruit motivated and independent folks. If you’re interested in joining my group, I encourage you to get in contact with me. Ideally we’ll meet in person, e.g. at a conference, but we can also connect over email.
I hosted my Department’s Colloquium series in Fall quarter of 2020 – this was my talk, which kicked off the series on Oct 6, 2020 (my birthday!).
I talked in the CMU Robotics Institute Seminar on Jan 17, 2020.
Why (or, more specifically, when) do feedforward inputs yield stable behaviors? (slides) (chalk talk)
At the 2018 Dynamic Walking meeting in Pensacola, FL, I gave a hybrid slideshow / “chalk talk” on our contraction theory results, which generated a lot of interesting discussions.
I gave this talk on Sep 30 2016 at Microsoft Research in Redmond; I particularly enjoyed the lively discussion that took place throughout this talk!
I gave this talk on Nov 17 2015, shortly after starting as an Asst Prof in UW EE; it provides an overview of the work I did toward the end of my PhD and as a postdoc.
Reduction and Identification for Models of Locomotion: an Emerging Systems Theory for Neuromechanics
I gave this talk on Feb 18 2014, during my interview at UW EE; it provides an overview of my thesis work.