Research Associate
The National Center for Computation Technology and Applied Mathematics, KACST
Total years of experience :16 years, 9 Months
- Built and refined machine learning models that automated the detection of interictal epileptic spikes from MEG signals.
- Built machine learning models that identifies epileptic patients from MEG signals.
- Built machine learning models that predict epileptic seizure of a patient based on their brain signals.
- Facilitated research into early detection of breast cancer by clearing and enhancing an old mammograms dataset (DDSM).
- Refereed submissions to "the 4th Saudi International Conference on Information Technology (Big Data Analysis) 2016”.
- Published two journal articles.
- Attended several conferences to broaden knowledge.
- Gained essential knowledge of controlling systems.
- Regularly communicated with scientific research teams from South Africa.
- Organized training for 6 engineers in advanced programming with Matlab.
- Led a group of 3 engineers in the design, and development of OpenGL-based UI for a simulation software.
- Advised and mentored undergraduate students placed on academic probation.
The program covers all these core areas: Natural Competition systems and techniques, Conventional Artificial Intelligence, Pattern Analysis and Data Mining. • Courses include: Machine Learning, Natural Competition, Planning, Evolutionary Computation, Intelligent Data Analysis, NLP and Applications, Natural Inspired Optimizations, and Natural Inspired Design. Thesis: Hybrid Evolutionary Algorithm for Large Scale Optimization
The program is in not only focus on programming. It includes software engineering, communications and networks, computer security, artificial intelligence, information systems, graphics, operating systems and embedded systems. Project: Design of an Environment Monitoring System Using Wireless Sensor Networks