Before coming to Gonzaga, Dr. Aaron Crandall was a clinical associate professor and research professor at Washington State University. His primary research focuses on technologies to support healthy aging in place for our community’s older adults. Dr. Crandall’s academic efforts include researching artificial intelligence to model behavior of people in smart environments as well as addressing user needs with senior care focused technologies. His other research projects include evaluating board game complexity and developing novel CPU management algorithms.
Dr. Crandall's undergraduate work has included founding Cougs in Space for developing a NASA-backed cubesat project, Palouse and Gonzaga Robosub clubs working on autonomous underwater vehicles, and rocketry projects building sensors and control systems. He is active in student activities such as hackathons, coding competitions, and senior design projects.
To support his work, Dr. Crandall has received grants from NASA, the NIH, DoD/NAVSEA, Google, and other organizations.
Feature story about Dr. Crandall
Full list of publications
Compy, Kiernan, Alana Evey, Hunter McCullough, Lindsay Allen, and Aaron S. Crandall. (2020) "An Upper Bound on the State-Space Complexity of Brandubh." In 2020 IEEE Conference on Games (CoG), pp. 519-525. IEEE.
Fritz, R., M. Schmitter-Edgecombe, A. Crandall, and D. Cook. (2017) "HEALTH-ASSISTIVE SMART HOMES WITH A CLINICIAN-IN-THE-LOOP." Innovation in Aging 1, no. Suppl 1 (June 2017): 683.
Cook, Diane J., Aaron S. Crandall, Brian L. Thomas, and Narayanan C. Krishnan. (2012) "CASAS: A smart home in a box." Computer 46, no. 7: 62-69.
Dr. Crandall's primary research focuses on technologies to support healthy aging in place for our community’s older adults. Dr. Crandall’s academic efforts include researching artificial intelligence to model behavior of people in smart environments as well as addressing user needs with senior care focused technologies. His other research projects include evaluating board game complexity and developing novel CPU management algorithms.