03 / ACADEMIC FILE

CV, concise and
useful.

A focused, quickly scannable view of research direction, technical experience, publication evidence and possible points of collaboration.

PROFILE

Connecting
disciplines.

Research assistant in Software Engineering with an Electrical & Electronics Engineering background, working across artificial intelligence, image processing, computational electromagnetics, secure infrastructure systems and Docker-based software infrastructure. The doctoral direction combines numerical methods, modern AI methodology and applied systems engineering.

ResearchAI · image processing · FDTD

SystemsDocker · Linux · secure deployment

Bridgeacademia · product · business-facing R&D

Detailed CV: A current PDF résumé, publication list or context-specific technical brief can be shared directly on request.

2022 — now

Research AssistantMuğla Sıtkı Koçman University · Software Engineering

FDTD and computational electromagnetics, Python / Java / data structures / data science laboratories, internship-program coordination and research operations for moving prototypes into runnable systems.

Combines numerical modelling, algorithm development and teaching-lab practice in one research workflow.
Treats prototypes as runnable, documentable and shareable systems rather than isolated experiment code.

ongoing

Software Infrastructure & Research OperationsDocker-based services · Linux server operations

Docker/Kubernetes ecosystem work, self-hosted service orchestration, reverse proxy, load balancing, security configuration and secure deployment for research software.

Focuses on making research outputs reproducible, observable and service-ready.
Positions server, deployment and security layers as part of disciplined software engineering practice.

2023

Computer Vision ResearcherTEYDEB 1505 R&D project · Koçtaş partnership

Image processing and computer vision research for customer tracking and interest measurement in retail environments.

Extends image-processing practice beyond health/radiology into sector-adaptable visual intelligence.

2019 — 2021

Principal InvestigatorTÜBİTAK 2209-A / 2242

Model-based design and testing of cyber-physical systems; second place in the TÜBİTAK 2242 programme, Konya.

Early research output connecting electrical/electronics, modelling and prototyping.

EDUCATION

2022—2025

M.Sc. in Artificial Intelligence

Muğla Sıtkı Koçman University · GPA 3.93 / 4.00
Thesis on Docker-based multimodal deep learning for degenerative spine classification.

2021

B.Eng. in Electrical & Electronics Engineering

Muğla Sıtkı Koçman University · GPA 3.73 / 4.00
Ranked 1st in class and 4th in faculty.

SELECTED PUBLICATIONS

2025 / preprint

AI-Hybrid TRNGKernel-based deep learning for near-uniform entropy harvesting from physical noise · arXiv:2507.00145

arXiv record ↗

2023 / journal

A Novel Model-Based Technique to Improve Design Processes for Microstrip AntennasAEU — International Journal of Electronics and Communications · Q2 · DOI: 10.1016/j.aeue.2023.154570

DOI ↗

2022 / conference

Model-Based Microstrip Antenna Design in C-Band through Machine LearningPIERS · IEEE · DOI: 10.1109/PIERS53385.2021.9694697

IEEE / DOI ↗

review

Ad hoc reviewerComputers in Biology and Medicine · 1 completed review

Publication list on ResearchGate ↗

TECHNICAL SKILLS