HARRAN UNIVERSITY · ELECTRICAL & ELECTRONICS ENGINEERING

Applied Electromagnetics Lab

Research in applied electromagnetics from RF and microwave frequencies to emerging THz systems.

The Applied Electromagnetics Lab develops research in high-frequency communication, electromagnetic sensing, computational electromagnetics, and signal intelligence, with an emphasis on physically grounded modelling, measurement, and reproducible analysis.

Research led byDr. Ekrem AltınözenLab Lead & Principal Investigator
CommunicationAntennas · RF front ends · SDR · resilient wireless systems
SensingMicrowave · RFID · metamaterials · materials
ComputationFull-wave modelling · inverse problems · optimization
Signal intelligenceFeature extraction · machine learning · uncertainty · inference

Lab vision

A research framework connecting electromagnetic structures, measurements, and data.

The laboratory vision integrates high-frequency communication and sensing with materials, measurement, validation, and machine learning for signals. The objective is to connect electromagnetic mechanisms with measurable, reproducible, and interpretable engineering outcomes.

Lab vision infographic: electromagnetic structures, measurement, and data analysis linked into one research framework
EA

Research lead

Dr. Ekrem Altınözen

Lab Lead & Principal Investigator

Electrical & Electronics Engineering · Harran University

Research areas

Four connected research domains in applied electromagnetics.

Research is organized around electromagnetic hardware, sensing mechanisms, computational modelling, and the interpretation of measured and simulated signals.

01 · COMMUNICATION

High-Frequency Communication

Phased arrays, microstrip and dielectric antennas, RF front ends, anti-jamming architectures, software-defined radio and RF energy harvesting.

AntennasRF front endsSDR
02 · SENSING

High-Frequency Sensing

Microwave liquid and refractive-index sensing, RFID sensing, metamaterials, composite characterization and biomedical electromagnetic concepts.

MicrowaveRFIDMetamaterials
03 · COMPUTATION

Computational Electromagnetics

Full-wave simulation, material modelling, geometry transformation, surrogate modelling, optimization and inverse electromagnetic problems.

Full-wave EMInverse problemsOptimization
04 · SIGNALS

Machine Learning for Signals

Feature extraction, classification, anomaly detection, uncertainty-aware analysis and physics-guided interpretation of electromagnetic measurements.

FeaturesMLBenchmarking

Capabilities

Measurement, modelling, and experimental validation.

The laboratory emphasizes calibrated and documented experiments, numerical modelling, and reproducible analysis under realistic instrumentation and fabrication constraints.

S

S-Parameter Measurements

VNA-based characterization of resonators, antennas, materials and RF networks with calibration and de-embedding workflows.

RF

Antenna & RF Validation

Compact measurement arrangements, positioning systems, SDR platforms and application-specific RF experiments.

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Material Characterization

Dielectric, refractive-index and composite-material analysis across microwave and emerging high-frequency regimes.

RCS

RCS & Composite Studies

Electromagnetic response of structured and composite materials with model-based interpretation and sensing integration.

ML

Signal & Data Analysis

Feature engineering, classification, uncertainty, benchmark design and inverse inference for electromagnetic datasets.

Rapid Prototyping

Fixtures, 3D-printed structures, embedded control and software automation supporting repeatable experiments.

01Design
02Simulate
03Prototype
04Measure
05Analyze & Improve

Current research directions

Current research directions under active development.

These topics represent active research directions, experimental platforms, and methodological development within the laboratory.

01

Microwave Resonant Sensing

Multi-resonant structures for material characterization using frequency, Q-factor, bandwidth and richer S-parameter features.

02

Chipless RFID & Structural Sensing

Passive and chipless electromagnetic signatures for structural state, material degradation and low-complexity interrogation.

03

THz Metasurfaces

Tunable graphene and metamaterial-inspired structures for refractive-index sensing and controlled wave–matter interaction.

04

Flexible & Conformal RF

Deformation-aware analysis of antennas and interconnects under bending, twisting and complex geometry changes.

05

Open RF Measurement Workflows

Compact VNA, SDR and positioning workflows for reproducible laboratory-scale characterization and teaching.

06

Benchmarks, Data & Inference

Reusable datasets, benchmark protocols and physically interpretable features for electromagnetic sensing and signal-learning studies.

Research outputs

Publications, software, datasets, and reusable research resources.

The laboratory website provides the technical research layer, while scholarly outputs remain explicitly attributed to the research lead.

Selected publications by the Lab Lead

Representative peer-reviewed work

Full publication profile →
2026

Graphene-Based Terahertz Metasurface with Molybdenum Disulfide for Refractive Index Sensing Applications

Sensing and Imaging · 27(1) · Article 62

DOI ↗
2026

A numerical study of graphene-based nested split-ring terahertz for sensing applications

Optical and Quantum Electronics · 58 · Article 181

DOI ↗
2025

Numerical Analysis of a Flexible Interconnect and Ground-Defected Split Ring Resonator for High-Frequency 5G Sensing Applications

Harran University Journal of Engineering · 10(3) · 172–183

DOI ↗
2023

Assessment of the Robustness of Flexible Antennas to Complex Deformations

IEEE Transactions on Antennas and Propagation · 71(6) · 4714–4723

DOI ↗
2022

Systematic Generation of Arbitrary Antenna Geometries

IEEE Transactions on Antennas and Propagation · 70(8) · 6377–6387

DOI ↗

Software & data

Reusable software, data, and benchmark resources

Lab GitHub →
CODE

Measurement & automation tools

Scripts and workflows supporting RF measurements, positioning, data organization and reproducible analysis.

DATA

Research datasets

Structured electromagnetic measurement and simulation datasets for validation, comparison and data-driven studies.

BENCHMARK

Benchmark frameworks

Evaluation protocols connecting physical sensing problems with repeatable feature extraction and model comparison.

Academic workspace representing teaching and student research

Student research & opportunities

Student research built around real electromagnetic problems.

Undergraduate and graduate students interested in RF, microwave sensing, antennas, SDR, computational electromagnetics, or signal processing may participate through supervised research projects when suitable topics and laboratory capacity are available.

RF & microwaveAntennasElectromagnetic sensingSDRSimulationSignal processing
Research inquiry →

Acknowledgements & support

Industry support for experimental research and engineering education.

Laboratory equipment support is acknowledged separately from complimentary samples, materials, software access, and development platforms.

Laboratory equipment support

We gratefully acknowledge the support of companies that contribute to our lab by providing low-frequency Digital Multimeters, Waveform Generators, InfiniiVision 1000 X-Series Oscilloscope, and a DC power supply with three outputs.

Complimentary samples & development boards

We gratefully acknowledge the support of companies that contribute to our lab by providing complimentary samples and development boards.

Contact & collaboration

Research collaboration, student projects, and laboratory support.

The laboratory welcomes research collaborations that connect electromagnetic modelling, sensing, RF hardware, materials, measurement, and intelligent signal processing.

Joint research & publications
Materials / fabrication collaboration
Measurement & benchmarking
Student research projects
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