Profiles

Georgios Grekas is a Postdoctoral Research Fellow at the Applied PDE group of the Applied Mathematics and Computational Science program (AMCS) of CEMSE division at the King Abdullah University of Science and Technology, Saudi Arabia. He received his Ph.D degree from the department of Applied Mathematics from the University of Crete in 2019. He held a postdoctoral associate position at the department of Aerospace Engineering and Mechanics, in University of Minnesota (2019-2022). Then he moved as a postdoctoral researcher at the Institute of Applied and Computational Mathematics in FORTH, Greece. He joined KAUST and the Applied PDE group in March 2024.

His research interests include solid mechanics, biomechanics, numerical analysis and scientific computing. 

Majed Sofiani is a Postdoctoral Research Fellow at the Applied PDE group of the Applied Mathematics and Computational Science program (AMCS) of CEMSE division at the King Abdullah University of Science and Technology, Saudi Arabia. He received his Master's and PhD degrees from the department of mathematics at the University of Kansas in 2024. He joined KAUST at the AppliedPDE group in July 2024.

His research interests lie in the area of non-linear partial differential equations and dynamical systems. In particular his research focuses on the Eriksen-Leslie model for nematic liquid crystals.

Melih Ucer is a postdoctoral researcher in the Mean-Field Games (MFG) group of Prof. Diogo Gomes at KAUST. He obtained his bachelor's degree from MIT in physics and PhD degree from Bilkent University in mathematics, where he did research on topology of algebraic varieties. Since he joined KAUST, he has been primarily working on the weak solution concepts to MFG equations. In addition, being a former IMO medalist, he is still active in training olympiad students.

Melih Ucer is primarily interested in existence and regularity of weak solutions to mean-field equations (MFE), which are PDE systems consisting of a Hamilton-Jacobi-Bellman equation and a Fokker-Planck equation.

Roberto earned a B.Sc. degree in Mechanical Engineering from University of Padova in 2014. Then he obtained a M.Sc. in Applied Mathematics at Politecnico di Torino in 2017. Subsequently he earned a Ph.D. in pure and applied mathematics at Politencnico di Torino under a Marie Curie Horizon 2020 program in 2021.

Roberto's research involves numerical analysis of high-order algorithms for solving partial, ordinary, fractional, and integral equations. He is also interested in approximation theory in the context of numerical methods for partial differential equations. Furthermore, he also works on multiphysics models, coupled algorithms, and randomized linear algebra.

Yang Liu is a Ph.D. candidate at Stochastic Numerics Research Group (STOCHNUM) under the supervision of Professor Raul F. Tempone at King Abdullah University of Science and Technology (KAUST). His primary research interests involve uncertainty quantification, Monte Carlo methods, and finite element methods. He obtained a Master's Degree in Applied Mathematics and Computational Science from KAUST in 2019.

First-order mean-field games, linear and quasi-linear elliptic equations, the transport equation, and free boundary problems.  

Ahmed Abdali graduated from the University of Bahrain with a BSc in Mathematics in 2022.

Nonlinear PDEs and applications.

Anna Talgat is currently a Ph.D. candidate in Applied Mathematics and Computational Sciences at KAUST. She earned her B.S. in Mathematics from Fatih University, Istanbul, with high honors and a full scholarship. Anna continued her studies at KAUST, completing her M.S., focusing on stochastic geometry-based analysis of LEO satellite communication systems. Her early career includes an internship at Cambridge University’s DAMTP and teaching mathematics at Galaxy International School in Kazakhstan. Additionally, she was a Graduate Teaching Assistant at KAUST, supporting academic development and enhancing teaching methodologies.

Anna Talgat's research interests primarily focus on stochastic geometry and its applications in communication systems. Specifically, her work includes the stochastic geometry-based analysis of LEO satellite communication systems, performance analysis and optimization of wireless communications, and enhancing the efficiency and reliability of these networks. Her research aims to advance the understanding and development of satellite communication networks, which are critical for various applications, including IoT (Internet of Things) and secure data transmission in space communications.

Ms. Aseel AlNajjar is a Ph.D candidate in the AppliedPDE group of the Applied Mathematics and Computational Science program (AMCS) of CEMSE division at the King Abdullah University of Science and Technology, Saudi Arabia. She graduated from Taibah University in 2019 with a bachelor's degree in Mathematics and received a Master's degree in Applied Mathematics from KAUST in 2021. During 2018 Ms. AlNajjar was a summer research intern in the AppliedPDE group. 

Machine learning, training algorithm, optimization

Natural language processing

Elsiddig Awadelkarim Elsiddig is a Ph.D. candidate at Applied Mathematics and Computer Science  Research Group under the supervision of Professor Raul Tempone at King Abdullah University of Science and Technology (KAUST). 

Monte Carlo algorithms in Bayesian Statistics, Stochastic Control, Machine Learning.

Eman Kabbas earned a Bachelor of Science and Education in Mathematics from Imam Abdulrahman Bin Faisal University and a Master’s in Mathematics from the University of North Carolina at Charlotte. Her academic journey, marked by deep curiosity and dedication, led her to become a lecturer at Jubail Industrial College (JIC). Now, as a Ph.D. candidate in Applied Mathematics and Computational Sciences under the mentorship of Professor Håvard Rue, Eman delves into Bayesian and computational statistics, striving to bridge theoretical concepts with practical applications. Eman is dedicated to fostering a new way of teaching statistics and data science through her research experience.

Eman Kabbas's research interests focus on developing and applying spline models in non-parametric regression. She addresses the limitations of splines in prediction tasks with insufficient data by proposing a spline model suitable for both regular and irregular observations, leverages Bayesian techniques to ensure efficient modeling and reliable predictions.

• King Abdullah University of Science and Technology (KAUST) December 2021 - Present

PhD in Applied Mathematics and Computational Sciences Thuwal, Saudi Arabia, Advisor: Peter Richtarik 

• King Abdullah University of Science and Technology (KAUST) August 2020 - December 2021

MS in Applied Mathematics and Computational Sciences Thuwal, Saudi Arabia
Advisor: Peter Richtarik 

• Moscow Institute of Physics and Technology (MIPT) September 2014 - July 2019

BS in Applied Mathematics and Physics Dolgoprudny, Russia, Advisor: Boris Polyak 
Thesis: Averaged Heavy Ball Method

Stochastic Optimization, Distributed Optimization, Federated Learning, Machine Learning

Hikmatullo Ismatov earned a Bachelor's degree in Applied Mathematics and Computer Science from Lomonosov Moscow State University (2017-2021). He joined KAUST as an MS/PhD student in 2023. Before starting his graduate studies, Hikmatullo completed an internship at KAUST in the same year.

Hikmatullo Ismatov's research centers on nonlinear PDEs, particularly the Infinity-Laplace equation. This class of equations has significant applications in understanding various optimization problems and phenomena, such as tug-of-war games and image processing. His work aims to contribute to the theory and applications of nonlinear PDEs, particularly through rigorous mathematical analysis and computational approaches.

Khusrav Yorov joined Visual Computing Center (VCC)  as a Ph.D. student in August 2021 under the supervision of Prof. Helmut Pottmann. Since he was a kid, Khusrav has been involved in the beautiful math world.  Because of it almost all his life is somehow connected to math.  Khusrav has several other hobbies, too, like teaching, biking, travelling, playing football and table tennis.

Khusrav is interested in Geometry and its application in real life, especially Differential Geometry, Discrete Differential Geometry, and Isotropic Geometry.