Cantley Research Group
Our group investigates the unique properties and capabilities of electronic neural networks and neuromorphic architectures through simulation, fabrication, and advanced electrical characterization. We are especially interested in using novel nanoscale electronic devices and circuits to capture biomimetic learning modalities such as spike timing-dependent plasticity (STDP). Integrating these circuits into micro- and nano-scale systems that interface directly with the environment for real-world applications is another focus. Members of the group are encouraged and afforded every possible opportunity to develop a broad set of abilities in conjunction with strong leadership, communication, and creative and critical thinking skills to succeed in future careers. See the People page if you are interested in open positions!
For more up-to-date news, pictures, and information, follow Dr. Cantley on Twitter @kcantley
- August 2019: Robert has received the INL Cybersecurity Graduate Fellowship. This is a huge honor…congratulations!
- July/August 2019: Great presentations from Sumedha at ICONS and both Sumedha and Robert at MWSCAS. Very proud of the work happening in our group!
- January 2, 2019: Our paper on enhanced signal-to-noise ratios in graphene microelectrode arrays has been accepted into Electroanalysis. Congratulations to Sepideh and everyone involved!
- December 5, 2018: Fantastic trip to IEDM this year in San Francisco. I really enjoy the experience of learning about cutting-edge research, seeing old friends, and meeting new ones!
- August 30, 2018: Very exciting to be interviewed on the Boise State Public Radio show Idaho Matters! Looking forward to some exciting research results.
- July 25, 2018: Outstanding presentation by Sumedha at ICONS on radiation effects in neuromorphic systems, and…congratulations on receiving the best student poster award!
- June 12, 2018: Dr. Cantley has officially received a 2018 NSF CAREER award! We are excited to get started with new research on neuromorphic learning circuits.
- May 17, 2018: Sumedha’s paper on radiation effects in neuromorphic systems has been accepted to ICONS! Looking forward to a trip to Knoxville in July.
- May 4, 2018: Sepideh received the Best Poster award at WMED this year!
- April 24, 2018: Sepideh won first place in this year’s 3-Minute Thesis competition at Boise State. Truly outstanding!
- April 20, 2018: Sumedha delivered a fantastic invited talk at WMED on modeling radiation effects in memristive devices!
- April 19, 2018: Very impressed with the Boise State Grad Student Showcase this year. Sepideh and Sumedha both presented posters!
- August 9, 2017: Sepideh and Robert both did an outstanding job on their presentations at the MWSCAS conference in Boston! Great work!
- May 5, 2017: Dr. Cantley has received a Young Investigator Award from the Defense Threat Reduction Agency (DTRA) for investigating the impact of radiation on neuromorphic systems!
- March 31, 2017: Sepideh’s Electronic Materials Conference abstract on enhancing the SNR in neural electrodes using nanomaterials was accepted!
- February 20, 2017: Our IJCNN paper about spatio-temporal pattern recognition has been accepted for presentation in Anchorage!
- August 12, 2016: Susy gave an excellent final presentation at the Summer Research Symposium for LSAMP students. Very proud of her accomplishments!
- July 30, 2016: Justin, Susy, and Conor presented their summer research at the Idaho Undergraduate Research Conference. They all did a fantastic job!
- March 29, 2016: Lots of great news this week! Justin Stadlbauer has received an INBRE Fellowship for Summer 2016, Catherine Walker’s poster was accepted to the Undergraduate Research Conference at Boise State, and Robert Ivans was featured with the ECE Department’s TurtleBot hunting Easter Eggs on The Blue by ABC News! (View the “Kids Celebrate Easter at Epic Easter Egg Hunts Around the U.S.” article)
- December 7, 2015: While away attending IEDM in Washington, DC, Dr. Cantley was interviewed for an article in The Arbiter about neuromorphic engineering!
- September 9, 2015: The Idaho Global Entrepreneurial Mission (IGEM) proposal to enhance capabilities of the Idaho Microfabrication Laboratory (IML) at Boise State has been funded! $1.5 million will be allocated over the next three years to obtain new equipment, upgrade facilities, and strengthen staff and user support!
- Graduate research positions are currently available! Please see the Cantley Research page for a description of what we do in the group, and the People page for job descriptions and expectations.
- May 18, 2015: Robert Ivans’ internship at the Army Research Laboratory (Aberdeen Proving Ground, Maryland) is officially underway. Congratulations and best of luck to Robert!
- April 20, 2015: Vlad Calugaru has accepted a summer internship at Aerojet Rocketdyne in Redmond, WA. Congrats!
- February 22, 2015: Congratulations to Samantha D’az (Boise State ECE) for receiving and Idaho INBRE fellowship for the summer of 2015! She will be working on the neural interfaces project, investigating the effect of chemical modification on the interface properties.
- October 27, 2014: Dr. Cantley and Dr. David Estrada (Boise State MSE) have received a pilot grant through the Boise State Center of Biomedical Research Excellence (COBRE). Our team will be researching novel materials and methods for guided growth and differentiation of stem cells!
- May 22, 2014: Catherine Walker was awarded a Boise State Student Research Initiative (SRI) Fellowship for the summer. She will be working on piezoelectric polymers for sensors and actuators. Congratulations, Catherine!
- February 27, 2014: Along with three other BSU faculty, Dr. Cantley attended the 2014 Neuro-Inspired Computer Engineering (NICE) Workshop in Albuquerque to discuss research and work toward fostering new national and international collaborations.
- January 24, 2014: Dr. Cantley has received a 3-year, ~$360,000 Young Investigator Award from the Air Force Office of Scientific Research (AFOSR) for his proposal entitled “Spike Timing-Dependent Learning Circuits for Temporal Pattern Recognition and Classification.”