معرفی
Dr. Omar Lakkis is a Reader in Mathematics at the University of Sussex, United Kingdom, within the School of Mathematical and Physical Sciences. He holds a PhD in Applied Mathematics and Scientific Computing from the University of Maryland (2002) and a Laurea in Matematica (MSc equivalent) from the University of Trieste (1996). His academic journey includes roles such as Associate Professor at the Free University of Bozen-Bolzano (2016–2017), Senior Lecturer at Sussex (2011–2018), and Lecturer (2004–2011). He has also held a Marie Curie Fellowship at the University of Crete (2003–2004) and a postdoctoral position at the University of Milan (2002–2004).
His research focuses on scientific computing and numerical analysis of partial differential equations (PDEs), particularly finite element methods for nonlinear and evolutionary PDEs, adaptive error control, geometric motions, and stochastic PDEs. His work emphasizes a posteriori error estimation, mesh adaptation, and applications to fluid dynamics, materials science, and environmental modeling. Notable contributions include models for floodplain inundation, lithium battery crystal growth, and Turing patterns in reaction-diffusion systems.
Dr. Lakkis has secured grants from the Engineering and Physical Sciences Research Council (EPSRC), including projects on stochastic shallow water equations and machine learning integration. He has supervised numerous research initiatives, including a PhD studentship on numerical analysis of PDEs. His work is disseminated through high-impact journals like SIAM Journal on Numerical Analysis, Numerische Mathematik, and IMA Journal of Numerical Analysis.
He actively participates in academic service, including committee roles and editorial work. His research portfolio reflects a commitment to advancing computational methods for complex physical systems and their real-world applications.
