Assistant Professor of Electrical and Electronics Engineering
Harran University, Şanlıurfa, Türkiye
RF and Microwave Sensing · Antennas · Intelligent Signal Interpretation · Computational Electromagnetics
Applied Electromagnetics Researcher, Applied Electromagnetic Sensing, RF/Microwave Sensors, Microstrip Antennas and Arrays, Computational Electromagnetics for Sensing, Microwave and THz Resonant Sensors
Dr. Ekrem Altinozen is an Assistant Professor at Harran University. He is also a member of the IEEE and conducts research through the Applied Electromagnetics Lab. His work lies at the intersection of computational electromagnetics, RF and microwave engineering, resonant sensing, antenna technology, and intelligent signal processing. His research combines electromagnetic theory, full-wave numerical simulation, experimental measurement, inverse modelling, and data-driven interpretation to develop physically meaningful and practically testable sensing and communication technologies.
He received his BSc degree with First-Class Honours in Electrical and Electronic Engineering from Eskişehir Osmangazi University in 2015. He subsequently completed his MSc degree with First-Class Honours and his PhD degree at the University of Nottingham, United Kingdom, in 2018 and 2023, respectively. His doctoral research, entitled Spatial Warping Techniques for the Unstructured Transmission Line Modelling Method, investigated computational approaches for representing complex geometrical deformations in flexible electromagnetic structures. This work contributed to the modelling and performance assessment of conformal antennas, wearable antennas, flexible interconnects, and other high-frequency components subjected to bending, twisting, and combined deformations.
At Harran University, his current research expands these foundations toward microwave and terahertz resonant sensors, chipless RFID, dielectric material characterization, structural health monitoring, reconfigurable electromagnetic structures, and physics-guided signal intelligence.
Flexible, conformal, wearable, and deformable antennas
Physics-guided machine learning for electromagnetic signals
RF, microwave, millimetre-wave, and terahertz sensors
Resonators, metamaterials, and reconfigurable electromagnetic structures
Chipless RFID sensing and structural health monitoring
Dielectric and material characterization
Microwave measurement and uncertainty analysis
Software-defined radio and intelligent RF front ends
Computational electromagnetics and numerical modelling
Electromagnetic inverse problems and parameter extraction
My research focuses on creating electromagnetic methods and devices that are:
Physically interpretable, with results grounded in electromagnetic theory
Measurement-aware, accounting for fabrication tolerances, noise, calibration, and uncertainty
Experimentally feasible, using practical and accessible RF hardware
Reproducible, through clearly defined datasets, benchmarks, and computational workflows
Application-oriented, addressing sensing, communications, materials characterization, and infrastructure monitoring
A central objective of my work is to connect rigorous electromagnetic modelling with realistic measurements and reusable signal-processing frameworks.
PhD in Electrical and Electronic Engineering
University of Nottingham, United Kingdom, 2023
Thesis: Spatial Warping Techniques for the Unstructured Transmission Line Modelling Method
MSc in Electrical and Electronic Engineering — First-Class Honours
University of Nottingham, United Kingdom, 2018
BSc in Electrical and Electronic Engineering — First-Class Honours
Eskişehir Osmangazi University, Türkiye, 2015
Assistant Professor
Department of Electrical and Electronics Engineering
Harran University
Vice Chair
Department of Electrical and Electronics Engineering
Harran University
My teaching activities cover electromagnetic wave theory, communication engineering, antennas, microwave systems, and numerical engineering methods. I supervise undergraduate and graduate research involving resonant microwave sensors, antennas, chipless RFID, software-defined radio, material characterization, signal processing, and computational electromagnetics. I particularly encourage projects that combine sound theoretical foundations with simulation, prototyping, measurement, and reproducible analysis.
I welcome academic and industrial collaboration in computational electromagnetics, RF and microwave sensing, antenna technologies, chipless RFID, flexible electronics, intelligent RF hardware, and physics-guided signal processing.
Memberships:
Organization: IEEE
Membership Status: Member
Start Date: 2020
End Date: Ongoing
Organization: IEEE Antennas and Propagation Society (AP-S)
Membership Status: Member
Start Date: 2022
End Date: Ongoing
Organization: IEEE Microwave Theory and Technology Society (MTT-S)
Membership Status: Member
Start Date: 2023
End Date: Ongoing
COST Actions
CA23015 The mETamaterial foRmalism approach to recognize cAncer (TETRA)
Reviews
npj flexible electronics