Carlo da Cunha is an assistant professor at the School of Informatics, Computing, and Cyber-Systems at Northern Arizona University. He has an M.Sc. In Electrical Engineering from West Virginia University, a Ph.D. also in Electrical Engineering from Arizona State University, and was a postdoctoral researcher at the Department of Physics of McGill University in Canada. He has also held academic positions at UFRGS in Brazil, the Technical University of Vienna in Austria, and Chiba University in Japan. His research focuses on the design of electronic devices for high-performance computing and has been funded by agencies such as the Air Force Office of Scientific Research. He is particularly interested in investigating the use of low-dimensional semiconductors and their emergent complex phenomena to implement novel structures such as artificial neural networks. Furthermore, he has been investigating the use of machine learning tools to aid the design of these devices. His publication list consists of more than twenty technical papers about electronic devices including one that illustrates one of the covers of Applied Physics Letters. He has also authored a recent book about econophysics.

Links to learn more about Dr. DaCunha’s research:

• LinkedIn
• Google Scholar
• C Lab