His vision: to build the next generation of computing machines
Oct 25, 2017 | Research/Cooperation
Brain-like machines, e.g. a computing system that can perform tasks on their own, can be used in different types of applications used in our daily life. Masoud Daneshtalab is a senior lecturer at MDH and his research is focusing on energy efficient and high-performance computing.
- My vision is to build future computing machines which are more powerful and energy efficient than the conventional computers we already have in the market, says Masoud Daneshtalab, who is researching in model-based engineering within embedded systems.
Masoud Daneshtalab started his career at MDH in 2016. Before that his research target was to explore possible ways of implementing brain-like computing machines.
- At MDH, I am trying to use my competence in brain-like computing, to build the next generation of computing machine for mobile applications like autonomous systems and wearable devices. These are mostly battery-driven, therefore energy efficiency is an important factor, says Masoud Daneshtalab.
The new computing machine that Masoud Daneshtalab wants to develop, can be used in different types of systems and devices, such as mobile phones, healthcare equipment, autonomous cars and industrial robots. Such computing machine can handle data that is heterogeneous and unstructured, which conventional computers are not built for.
- For this, I will look at hard- and software customization, from the energy and performance perspectives. Integrating new emerging computing models in the conventional computing stack, both at the hardware and software layers, is the uniqueness of my research, says Masoud Daneshtalab.
On October 25, at 2:15 pm in room Gamma at MDH in Västerås, Masoud Daneshtalab will hold his docent seminar with the title ‘Towards energy efficient computing’.