person/sdeiss

Steve Deiss is a broadly experienced hardware/software design engineer who has also had graduate level training and recent job experience in neuroscience, neuroimaging, and cognitive science. He has an M.S. in Computer Science from Purdue Univ. dual B.A.’s in Psychology and Philosophy from Univ. of Michigan, and 35 years experience. He is a Senior (now Life) Member of the IEEE. He worked in academia and industry in computer-based instruction, and he worked in industry and in government labs in digital design engineering and manufacturing, software engineering, and team and project management with applications to neuroimaging, neuromorphic engineering, neurocomputing, high energy physics, semiconductor test, and telecommunications. He served on the standards teams that produced the data acquisition standards for Fastbus (IEEE 960-1986) and for Scalable Coherent Interface (IEEE 1596-1992) used in HEP and HPC. His first 16 years eclectic career path started as faculty doing computer-based instruction at Purdue and moved on to software and then hardware engineering positions in HEP research at SLAC and in Telecomm. He next successfully ran his own design and manufacturing consulting firm called Applied Neurodynamics specialized in neurocomputing and neuromorphic systems for another 16 years. Since the early 90’s he frequently attends area seminars, local retreats, and symposia in neural computation, neuroscience and cognitive neuroscience. He resumed studies at UCSD in 2003 in systems neuroscience, cognitive neuroscience and EEG/MEG/fMRI methods in a move to a more mainline neuroscience research career track. He recently worked in the Multi Modal Imaging Lab in UCSD Radiology with Eric Halgren on iEEG stream processing and on Thalamocortical Simulation, and in Gert Cauwenberghs’ Integrated Systems Neuroengineering Lab at UCSD where he supported aVLSI design efforts and EEG electrode designs with his digital and manufacturing expertise. He now works in Steven Swanson’s Nonvolatile Systems Lab in the UCSD Computer Science and Engineering Department with personal interest in deep belief and other predictive coding approaches and memory architectures that enable them. After hours he is researching in the area of science of consciousness and is authoring a book. He was a past attendee in 1994 & 1995 where he presented the Silicon Cortex system design developed jointly with Douglas, Whatley, and Mahowald.