Ergun Simsek

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Assistant Professor

University of Maryland Baltimore County

United States

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Ergun Simsek is an Assistant Professor at the University of Maryland Baltimore County, USA. His research focuses on photonics and materials science, with particular emphasis on 2D materials, plasmonic devices, and waveguide technology. His recent publications explore topics such as the optimization of photodetectors, nonlinearity in optical systems, and machine learning applications in near-field measurements.

Recent Grants

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Catastrophic impacts of geomagnetic disturbances on power system operation: Analysis and Mitigation

Open Date: 2016-08-15

Close Date: 2021-07-31

Ergun Simsek

Research Interests

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Recent Grants

Articles (15)

2D material-based plasmonic phototransistors under strong optical excitations

Practical vectorial mode solver for dielectric waveguides based on finite differences

Sources of nonlinearity and mitigation of phase noise in MUTC photodetectors at comb-line frequencies

A Simple Numerical Model to Estimate the Temperature Distributions Over Photodetectors in Steady-State

Substrate optimization with the adjoint method and layered medium Green’s functions

Classification with electromagnetic waves

Study of an $${\hbox {MoS}}_{2}$$ phototransistor using a compact numerical method enabling detailed analysis of 2D material phototransistors

Predicting Broadband Resonator-Waveguide Coupling for Microresonator Frequency Combs through Fully Connected and Recurrent Neural Networks and Attention Mechanism

Enhancing the Resolution of Local Near-Field Probing Measurements With Machine Learning

Fast Evaluation of RF Power Spectrum of Photodetectors With Windowing Functions

Use of Evolutionary Optimization Algorithms for the Design and Analysis of Low Bias, Low Phase Noise Photodetectors

Use of Evolutionary Optimization Algorithms for the Design and Analysis of Low Bias, Low Phase Noise Photodetectors

Machine Learning Exercises on One Dimensional Electromagnetic Inversion

Machine Learning Exercises on 1-D Electromagnetic Inversion

Determining optical constants of 2D materials with neural networks from multi-angle reflectometry data

Collaborators (1)

Curtis R. Menyuk

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