Doctoral Researches

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Pezhman Ebrahimzadeh's DR project

Dynamical systems as computing paradigms in Neuromorphic systems: The thesis aims on designing a scalable hardware-based network with neuron-like elements from a network’s point of view. The hardware is regarded as any computing substance, e.g. digital system, soft tissue, cellular automata, network of oscillators etc. In such a system, the complex, yet rich dynamical states can be engineered and used as computational scheme...

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Neethu Kuriakose's DR project

As the so-called Moore's law faces fundamentally physical challenges, new computational approaches are in demand to slow down or even reduce worldwide information processing energy consumption in the future and allow for further scaling. More than Moore approaches try to tackle the physical limitations of Moore’s law by implementing application driven components, which are rarely used in modern CMOS processes...

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Robert Kleijnen's DR project

Intra- and inter-chip communication of a neuromorphic accelerator: Neuromorphic computing - As opposed to most traditional computers, which rely on the von Neumann architecture, neuromorphic systems are based on the structure of the mammal brain. These so called neural networks show great potential for efficient computing, especially for applications such as pattern recognition and the processing of noisy data...

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Yasmeen Neyaz Salwa's DR project

IC concepts enabling delayed Reservoir Computing: Implementing cognitive functions such as speech recognition at biologically realistic levels proves to be power hungry and computer- intensive, which is associated with the fact that these tasks require frequent movement of data between the memory and processing unit. Unlike in the brain, the memory and the processor is separated in the Von Neumann computing systems, with processor speeds increasing significantly over the years while memory has not been able to keep up the pace, and therefore the speed mismatch between the two causes a kind of bottleneck, limiting the efficiency.

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Last Modified: 15.06.2022
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