CHAI Plenary Talk: Kurtis Cantley, Ph.D.

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Photo of Kurtis Cantley

Kurtis Cantley, Ph.D. Associate Professor Electrical and Computer Engineering Boise State University

In-Person @ Carlson Auditorium:  CAR-1125 - Joint event: CHAI Seminar and ECE PhD Seminar

TALK TITLE:  Spatio-Temporal Pattern Learning and Computation in Spiking Neural Networks

BIO:  Dr. Cantley received his Ph.D. in electrical engineering in December 2011 from the University of Texas at Dallas under the supervision of Prof. Eric Vogel. The main focus of his research was fabrication and simulation of novel low-temperature electronic devices for artificial neural systems, the first three years of which were funded by the National Defense Science and Engineering Graduate (NDSEG) fellowship. He also had the opportunity to work on a project centered around chemical and biological sensor FETs and associated detection circuitry as part of his post-doctoral research at UTD. Before moving to Texas, Dr. Cantley received his master’s degree in electrical engineering in 2007 from Purdue University, where his advisor was Prof. Mark Lundstrom. His thesis topic was the simulation of III-V materials in nanoscale transistors to determine their performance potential compared to silicon. While at Purdue, he was heavily involved with the Network for Computational Nanotechnology, and contributed to the deployment of simulation tools with graphical user interfaces on nanohub.org. The majority of his work was upgrading a program called NanoMOS, which subsequently experienced a surge in usage and now has over 94 tool citations in the literature. Prior to Purdue, Dr. Cantley was a student at Washington State University, graduating from the Honors College in 2005. He also obtained minors in math, physics, and music. For two summers while at WSU, Dr. Cantley participated in the National Security Internship Program (NSIP) at Pacific Northwest National Laboratory, near his home town of Kennewick, WA.


Contact
Caren Epps
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Event Snapshot
When and Where
September 19, 2025
12:00 pm - 1:00 pm
Room/Location: Carlson Auditorium: CAR-1125
Who

Open to the Public

Interpreter Requested?

No

Topics
artificial intelligence
experiential learning
research