جستجوی استاد راهنمای دانشگاهی

Ali Karakuş is an Associate Professor of Mechanical Engineering at the Middle East Technical University (METU) in Ankara, Turkey. His research focuses on computational fluid dynamics, high-order numerical methods, multiphase flows, and GPU-accelerated scientific computing. He leads the Accelerated Multiphysics (AMiP) research group, which develops advanced algorithms for multiphysics problems using modern parallel architectures. Education: B.Sc. (2005), M.Sc. (2009, Mersin University), Ph.D. (2015), all from METU. His work emphasizes high-order discontinuous Galerkin methods, physics-informed neural networks, and software development (e.g., libParanumal ). Key achievements include the 2024 Lecturer of the Year Award from the METU Parlar Foundation and recognition of the NekRS solver as a groundbreaking paper in Parallel Computing . He supervises a team of PhD and MSc students working on topics like adaptive mesh refinement, level-set interface capturing, and GPU-accelerated solvers. Recent projects include developing physics-informed neural networks for fluid flow problems and Boltzmann-based methods for compressible flows.

• Computational Fluid Dynamics
• High-Order Finite Element Methods
• Multiphase Flows
• +۵ مورد دیگر

Ömür Uğur is a Professor at Middle East Technical University's College of Sciences, specializing in computational mathematics and quantitative finance. His research bridges advanced numerical methods with financial and physical applications, evidenced by 64 WoS-indexed publications and 44 thesis advisements. His primary research interests include computational finance (stochastic volatility models, option pricing), magnetohydrodynamics (MHD duct flows, Hartmann number effects), and numerical analysis (SUPG-stabilized finite element methods, shock-capturing techniques for convection-dominated equations). Recent work integrates machine learning with wavelet analysis for time series and develops hybrid models for financial risk assessment. Analysis of his 15 most recent publications (2021-2025) reveals a strong focus on stabilized finite element formulations for challenging PDEs, with applications spanning finance (option pricing under Heston model), physics (MHD flows), and epidemiology (COVID-19 transmission modeling). Key methodological innovations include SUPG-YZβ formulations and discontinuity-capturing for high-Reynolds-number flows. Scientific Recognition: 210 H-index (Scopus) 269 H-index (Scopus) 323 H-index (Google Scholar) 44 thesis advisements completed His collaborative research spans computational economics, actuarial science, and fluid dynamics, with significant contributions to solving advection-dominated problems and financial market modeling. Current projects include real-time aircraft dynamics control and hypersonic flow modeling.

• Computational Finance
• Stochastic Volatility Modeling
• Magnetohydrodynamics (MHD)
• +۶ مورد دیگر

Erol Lale is a Lecturer in the Civil Engineering Department at Istanbul Technical University, specializing in Structural Mechanics, Reinforced Concrete Structures, and Numerical Modeling. He holds a PhD in Structural Engineering from the same institution, with prior academic roles including Research Assistant since 2005. His research focuses on advanced numerical techniques such as Lattice Discrete Particle Modeling (LDPM), Isogeometric Analysis, and High-Order Microplane Models to study concrete behavior under dynamic loading, size effects, and fracture mechanics. He has contributed to over 20 peer-reviewed publications, including works on reinforced concrete columns, damage localization algorithms, and multiscale analysis of geotechnical systems. Teaching responsibilities include courses like 'Reinforced Concrete II' and 'Prestressed Concrete' at the undergraduate level. His work integrates computational mechanics with experimental validation, addressing challenges in structural integrity and material failure under extreme conditions.

• Structural Mechanics
• Reinforced Concrete Structures
• Numerical Modeling
• +۳ مورد دیگر

Ali Karakus is an Associate Professor at Middle East Technical University (METU) and Deputy Head of Department. He obtained his Bachelor's degree (2005), Master's degree (2009), and PhD (2015) from METU. His research focuses on computational fluid dynamics, high-order numerical algorithms, and GPU-accelerated solvers for multiphysics problems. Specializes in high-performance scientific computing and finite element methods. Develops GPU-optimized solvers for compressible/incompressible flows, level-set reinitialization, and physics-informed neural networks. The Accelerated Multiphysics (AMiP) research group, led by Dr. Karakus, emphasizes discontinuous Galerkin approaches, adaptive mesh refinement , and Jacobian-free Newton-Krylov methods . His recent work integrates data-driven modeling with traditional fluid dynamics solvers. Notable scientific achievements include: 2024 Lecturer of the Year award from METU Parlar Foundation Collaborative publications on NekRS , a GPU-accelerated Navier-Stokes solver Selected as a groundbreaking paper in Parallel Computing journal Dr. Karakus has supervised multiple M.Sc. theses on topics including: High-order Boltzmann solutions for low Mach aerodynamics Physics-informed neural networks in CFD GPU-accelerated level-set reinitialization His publications demonstrate expertise in GPU parallelization , mesh deformation , and weakly compressible flow modeling .

• Computational fluid dynamics
• High-level continuous and discontinuous finite elements
• Multiphase flow
• +۵ مورد دیگر