PhD

Smart Systems and Energy Technology

• DNA analysis with a nanopore
• Reconfigurable biosensor arrays
• 3D-SOC integration by stacking heterogeneous IC technologies
• Technology aware design research
• Analog and RF circuit design for 45nm CMOS Cognitive Radio t
• CMOS design for mm-wave applications
• Cognitive radio processor architecture and platform
• Cognitive radio functionality
• Miniaturized Hyperspectral Vision System for the Embedded Do
• Multi-View Video
• Run-time resource management for dynamic Embedded Software
• Solar Cell Technology
• Organic electronics
• Wireless autonomous transducer solutions
• Ultra-high frequency communication with thin-film oxide elec

Miniaturized Hyperspectral Vision System for the Embedded Domain

Spectral cameras are new devices that exploit additional information from the electromagnetic spectrum. These systems are called multi- or hyperspectral imaging systems and have the advantage that information about the chemical composition of the scene can be extracted from the images. However major constraints currently prevent the widespread use of this technology: lack of miniaturization and its complexity. Current systems have an unpractical weight of several kilograms, data rates and processing requirements between 25 Gb/s and tens of GOPS for existing imagers and 150 Gb/s and tens of TOPS for future imagers. The goal of this PhD is to tackle the technological barriers that need to be resolved in order to enable the next generation miniaturized vision system. The target is the design of a spectral vision system that is generic, but which is easily customizable to the different application requirements and constraints caused by the miniaturization of the spectral camera.

Responsible scientists: Diederik Verkest, Johan De Geyter, Rudi Lauwereins