Peter Meijer was born on June 5, 1961, in Sliedrecht, The Netherlands. He received his M.Sc. in Physics from Delft University of Technology in 1985, for work performed in the Solid State Physics group (nowadays Quantum Transport group) on non-equilibrium superconductivity and sub-micron photolithography.
From September 1985 until August 2006 he worked as a research scientist at Philips Research Laboratories in Eindhoven, The Netherlands, initially focusing on black-box modeling techniques for analog circuit simulation. He developed two different classes of highly nonlinear multivariate interpolation techniques (published in IEEE Transactions on Circuits and Systems, 1990), and later he generalized the multilayer perceptron networks (AKA feedforward neural networks) for learning in time and frequency domain. Separately, he also developed an accelerated reliability simulator for hot-carrier degradation in CMOS circuits (presented at ESREF 1993). In May 1996 he received his Ph.D. from Eindhoven University of Technology, Department of Electrical Engineering, on the subject of dynamic neural networks for device and subcircuit modeling for circuit simulation. Dynamic neural networks were applied in modeling bipolar and MOS transistors, analog video filters (one-chip TV), folding AD converters, intermodulation distortion in mixers, two-port resonance in BNC connectors with leads, frequency-domain transformer modeling, heatflow in IC packages, and a variety of other cases. From 1999 until 2003 he was cluster leader of the Future Design Technologies cluster within the research group Digital Design & Test at Philips Research, while working on novel nanotechnology design options and the simulation and modeling of RF effects in high-speed analog and digital circuits. He applied a combination of FDTD (a 4D discretization technique for solving Maxwell’s equations in space and time) and dynamic neural networks to model cross-talk in ultra-high frequency interconnect (200 GHz). His work on nanoimprint techniques was part of a cooperation between Philips and ASML.
In October 2006 he left Philips and joined the Central R&D organization of the newly founded NXP Semiconductors, to work in the field of computer vision research, programming a massively parallel SIMD-based hardware platform for real-time low-power video processing ("pixel crunching" with the 320-core Xetal chip). Applications included real-time body-tracking and automatic camera calibration for nonlinear lens and visual perspective distortion, and real-time stereo vision. In September 2008 the focus of his work shifted towards image processing for improved picture quality in digital television (DTV). He left NXP Semiconductors in December 2010.
In October 2011 he joined Hemics (formerly known as Akeso Medical Imaging). Hemics is a medical device company active in the field of
Rheumatoid Arthritis. It aims to improve the quality of life of
patients by creating imaging devices that support the rheumatologist in
monitoring and treatment of this disease.
In parallel with his work in the medical and electronics industry, and in line with his interests in human sensing capabilities, he developed an image-to-sound conversion system known as "The vOICe", aimed at the development of a synthetic vision device (artificial vision system) for the blind. Starting with the design and implementation of a 5-stage pipelined special purpose computer, he later developed software versions for Microsoft Windows netbooks (The vOICe Learning Edition), Nokia camera phones (The vOICe MIDlet, Java ME) and an augmented reality version for Android camera phones (The vOICe for Android). Further evaluation of this noninvasive technology in cooperation with Harvard Medical School, California Institute of Technology, University of Düsseldorf (Institute of Experimental Psychology), University of Jerusalem (Institute of Medical Sciences), University of Lübeck (Institute for Neuro- and Bioinformatics), Montreal Neurological Institute, and other academic partners around the world.