Eyas is a Research Associate at the Center of Complex Engineering Systems (CCES) at KACST and MIT. At CCES, Eyas is currently working on the Urban Traffic System (UTS) Project.  Prior to joining CCES, he completed a Master of Science in Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology (KAUST). His thesis research focused on road traffic modelling, state estimation and short term prediction on complex road networks using data assimilation methods. During his time at KAUST, Eyas worked on modelling and simulation projects that spanned several interdisciplinary fields which include: visibility analysis in urban environments, modelling cancer tumour growth, modelling logging truck dynamics and the nonlinear dynamics of suspension bridges.



Eyas obtained his B.Sc. from King Fahd University of Petroleum and Minerals (KFUPM) where he graduated top of his class majoring in Aerospace Engineering with a minor in Computer science. His thesis research focused on developing a novel methodology for the design and optimization of Inertial Particle Separator (IPS) systems. These systems are mounted on the engines of military aircraft and helicopters operating under harsh-desert environments. The system helps in preventing sand and other particles from entering the engine inlet which in turn lengthens the engine's lifespan.



After graduation,  Eyas joined the National Aeronautical technologies Program at King Abdulaziz City for Science and Technology (KACST). There, he worked on several projects that included implementing specialized analysis codes, assessing High Performance Computers (HPC)s and the design and analysis of an Unmanned Aerial Vehicle (UAV).

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Eyas's research interests span a wide range of interdisciplinary topics which include:  Computational Engineering and Design, Numerical methods and Simulation, inverse problems and Data Assimilation, Machine learning and probabilistic graphical models, multidisciplinary design and optimization, complex networks, game theory and complex systems analysis and control.