Fairbeam
An open workbench for electromagnetic design.
Design antennas, simulate with openEMS, inspect S-parameters and far-field patterns, and export your work. In development for Windows and macOS.
Software for systems that leave the screen.
I build software that can drive a simulator, read a physical signal and turn research into an instrument—from AI tooling to RF measurement systems.
View selected work↓Selected work
01180+toolsCST Studio MCP
A Python-first bridge between AI assistants and CST Studio. Build geometry, assign materials and ports, run solvers, then inspect S-parameters and far-field results.
- 180+ structured MCP tools
- CST Studio 2024–2026 · Windows
031002-ATÜBİTAKAI Phase-Controlled RFID
Research-led design of a phase-controlled RFID antenna system for smart factories—combining antenna arrays, machine learning, embedded control and real-time tracking.
- TÜBİTAK 1002-A supported
- RFID arrays · ML · embedded control
0496%+SSIMSim2Real RFID
Radiation-pattern reconstruction from a passive RFID tag array. An MLP trained on synthetic priors closes the gap between simulation and physical measurement.
- SSIM >96% · MAE 0.13 dB
- 8×8 passive-tag sensing array
Tools for the everyday work.
Contextractor
Find, search and export local AI sessions from one private archive on your device.
Research, made operational.
My research starts in electromagnetics and ends in working systems: phased-array RFID, antenna characterization, surrogate modeling and machine learning for measurement.
17publications
170citations
h7index
Scholar snapshot · 27 Sep 2026Doctoral thesis · 2026
Machine learning supported phase controlled RFID system design for smart factory applications
İzmir Katip Çelebi University · Advisor: Prof. Dr. Adnan KayaFind in YÖK Thesis Center↗Selected publications
View Google Scholar ↗01
Sim2Real-enhanced antenna characterization: a robust radiation pattern reconstruction method via passive RFID tag arrayMeasurement Science and Technology
2026↗02Comparative Evaluation of Deep Learning Architectures for Automated Tooth SegmentationDiagnostics
2026↗03Knowledge-Based Methodology for Efficient Surrogate Antenna ModelingInternational Journal of RF and Microwave Computer-Aided Engineering
2024↗04Transparent 2-Element 5G MIMO Antenna for Sub-6 GHz ApplicationsElectronics
2022↗Engineering across layers.
I am İsmail Akdağ, a developer and PhD Electrical & Electronics Engineer based in İzmir. I work comfortably from a measurement bench to an application interface—from RF hardware and embedded control to Python services, native apps and machine-learning pipelines.
Since 2019 I have been a research assistant at İzmir Katip Çelebi University. My strongest work appears where software must understand a physical system, not merely display one.
Working set
- Python · TypeScript · C# · Swift
- AI agents · MCP · ML pipelines
- Scientific & native applications
- RFID · Antennas · Microwave systems
- CST · HFSS · MATLAB · Measurement
Education
- PhD · 2026Electrical & Electronics Engineering
- MSc · 2021Electrical & Electronics Engineering
- BSc · 2018Electrical & Electronics Engineering
I am open to developer roles, research collaborations and ambitious scientific-software projects.