Murat Enes Hatipoğlu

Research Fellow

Laboratory of Numerical and Analytical Computations in Applied Electromagnetics (LABNUANCE) - Türkiye

Department of Electronics Engineering

Gebze Technical University

Experienced researcher in computational and applied electromagnetics, specializing in integral equation methods, fast and numerically stable solvers, and optimization techniques for electromagnetic engineering problems. Strong background in analytical modeling, numerical analysis, and applied mathematics, with particular emphasis on complex analysis and special functions, as well as analytical regularization strategies to ensure stability, accuracy, and rapid convergence. Currently focused on scattering problems in layered media, and actively exploring the potential of machine learning and neural network approaches in computational electromagnetics, with a particular interest in their applications to RF/microwave systems and broader electromagnetic engineering problems.

Skills

Numerical Simulation Environments: Altair FEKO, COMSOL Multiphysics, CST Studio Suite

Scientific Computing Tools: MATLAB, Python (NumPy, SciPy)

Programming Proficiency: C, C++, Python

Hands-on experience in full-wave simulation, numerical modeling, and custom solver development.

Research at a Glance

Computational Electromagnetics

Superalgebraically convergent and numerically stable solutions of Integral Equations, Null Field Approach, T-Matrix Method, Fast solvers (FMM / MLFMA) and their Analytical Regularizations.

EM Scattering in Layered Media

Planar layered Green's functions, Sommerfeld integrals, Numerical Simulation and Modelling of 2D Photonic Crystals with solvers based Boundary and Null Field Integral Equations.

Optimization and AI for EM

Physics Informed Neural Networks (PINNs) for Boundary Integral Equations, surrogate modeling, tuning EM solvers using metaheuristic optimization methods.

Electromagnetics Engineering

Design and optimization for electromagnetic wave control tailored to specific requirements.

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