Dan Hammerstrom


Dan Hammerstrom received a BSEE degree from Montana State University, the MSEE degree from Stanford University, and the PhD EE degree from the University of Illinois at Urbana-Champaign. He was an Assistant Professor in the Electrical Engineering Department at Cornell University from 1977 to 1980.

In 1980 he joined Intel in Oregon, where he participated in the development and implementation of the iAPX-432, the i960, and iWarp. He joined the faculty of the Computer Science and Engineering Department at the Oregon Graduate Center in 1985 as an Associate Professor. In 1988 he founded Adaptive Solutions, Inc., which specialized in high performance silicon technology (the CNAPS chip set) for image processing, neural network emulation, and pattern recognition. He returned to the Oregon Graduate Institute in 1997, where he was the Doug Strain Professor in the Computer Science and Engineering Department.

He joined Portland State University in 2005 as Associate Dean for Research in the Maseeh College of Engineering and Computer Science and Professor in the Electrical and Computer Enginering Department.

From 2012 to 2016 Dr. Hammerstrom was a Program Manager in the Microsystems Technology Office (MTO) at DARPA.

He is now a Professor in the Electrical and Computer Engineering Department at Portland State. Dr. Hammerstrom holds a joint appointment in the IDE (Information, Computation, and Electronics) Department at Halmstad University, Halmstad, Sweden.

Dr. Hammerstrom is a Life Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and has been an Editor for the IEEE Transactions on Nanotechnology, an Associate Editor for the IEEE Transactions on Neural Networks, the Journal of the International Neural Network Society (INNS), and the International Journal of Neural Networks.

He has authored over seventy research papers and eight book chapters, and holds seven patents. Dr. Hammerstrom has been a Visiting Scientist at the Royal Institute of Technology in Stockholm, Sweden and the NASA Ames Research Center in Mountain View California.