I design, analyze and prototype systems that combine RF signal intelligence, spectrum awareness and modern software engineering — especially in the context of Counter-UAS (drone defense), early-warning architectures, and next-generation situational awareness platforms.
My goal: build technologies that make critical environments safer and smarter.

I actively research how advanced systems detect, classify, and visualize signals across crowded RF environments.

• 📶 Spectrum monitoring & noise floor analysis (9KHz – 153 GHz+)
• 🛰 SDR pipelines (RTL-SDR, HackRF, USRP, AirSpy)
• 🔍 Modulation recognition & signal classification (ML-assisted)
• 📡 DoA / AoA & geolocation (TDOA, multilateration concepts)
• 🛡 C-UAS sensor fusion (RF + Radar + EO/IR)
• ⚙ Tooling: GNU Radio • Python • MATLAB • CubicSDR • SDR#

🧭 All research here is strictly ethical, legal, and educational —
signal analysis only, not interception or misuse.

I work on understanding the architecture behind modern anti-drone systems, especially:

• 🎯 RF detection & signal fingerprinting
• 📡 Radar integration for low-slow-small targets
• 👁 EO/IR confirmation workflows
• 🔗 C2 software and operator UI design
• 🧩 System interoperability and layered defense concepts

C-UAS is where RF engineering, software, and defense-grade design meet —
and that intersection fascinates me.

If you’re working on RF monitoring, drone defense or sensor fusion — let’s talk.

• 🌐 Built internal dashboards & automation tools for FK Tekstil
• 📡 Experimenting with RF classification & SDR workflows
• 🔒 Several engineering projects remain private due to NDA restrictions
• 👨‍💻 Public repos: https://github.com/mach2furkan

📫 Email: furkanasknn@gmail.com
💼 LinkedIn: https://www.linkedin.com/in/furkanasknn

Open to internships, RF research collaborations, and C-UAS discussions.