Brain Inspired Computing: new computing technologies miming the way our brains process and store data
Prof K Salama
Miss Rosemary Mills
No more applications being accepted
Funded PhD Project (Students Worldwide)
Professor Salama’s research interests cover a variety of interdisciplinary aspects of electronic circuit design and semiconductors’ fabrication.
He is engaged in developing devices, circuits, systems, and algorithms to enable inexpensive analytical platforms for a variety of industrial, environmental, and biomedical applications. Recently he has been working on neuromorphic circuits for brain emulation.
Conventional computing based on Von Neumann architecture has been shown to be approaching its limits in scalability and power consumption. If solved with contemporary machines, today’s applications in science and industry related to data analysis, pattern recognition and prediction would demand a huge computing power. In the era of ubiquitous sensing and data acquisition, a way to cheaply and power efficiently make sense of the collected ‘big data’ is of utmost importance. Here, human brain’s efficiency becomes the ultimate standard and inspiration for any future technology. Such trend of understanding the brain behavior is currently gaining a huge attention worldwide. At the sensors lab, students under the supervision of Prof. K.N. Salama are exploring new computing technologies miming the way our brains process and store data.
All admitted students receive the benefits of the KAUST Fellowship which supports students for the duration of their graduate studies. The benefits of the KAUST Fellowship include:
Full tuition support
Monthly living allowance (ranging between $20,000-30,000 annual, depending on qualifications and progression through degree programs)
Medical and dental coverage*
* Charges may apply to dependent housing and medical and dental coverage.