engramyrady@gmail.com
ramyrady@portfolio:~$
Dr. Ramy Rady

About Me

I hold a PhD in Electrical Engineering (Texas A&M, April 2024) and now work as a Hardware Engineer at Apple. My background includes stints at Meta Reality Labs, Qualcomm, and Fraunhofer Institute. I focus on RF IC design, silicon photonics, microwave photonics, AI control systems, GenAI-assisted engineering, and high-speed communication platforms.

RF IC Silicon Photonics Microwave Photonics AI Control Systems GenAI-assisted Engineering Analog/Mixed-Signal High-Speed Links

Last updated April 2024

📄

Download Resume

Last updated April 2024

Download PDF

Personal Projects

Automatic Tuning of Silicon Photonic Filters

Achieved 10× faster tuning with >40dB jammer rejection

Metrics are from prototype characterization / publication results; details in case study.
  • ML-driven control for real-time resonator stabilization
  • Adaptive filtering for high-interference environments
  • Zero manual calibration after deployment
View details →

mm-Wave CMOS & Photonic Hybrid Receivers

20+ GHz bandwidth with 60% efficiency improvement

Metrics are from prototype characterization / publication results; details in case study.
  • Hybrid electronic-photonic architecture
  • >30dB blocker rejection for 5G/6G
  • Wideband tunability across mm-wave spectrum
View details →

AR/VR Driver ICs & Stabilization Loops

35% power reduction with sub-Ξs stabilization

Metrics are from prototype characterization / publication results; details in case study.
  • CMOS laser & MEMS drivers for photonic displays
  • Automatic control loops for 99.9% uptime
  • Shipped at Meta Reality Labs
View details →

Machine-Learning Control for Hardware

80% faster calibration with zero manual intervention

Metrics are from prototype characterization / publication results; details in case study.
  • Adaptive algorithms for real-time circuit tuning
  • Optimizes pole locations & biasing dynamically
  • Works across varying PVT conditions
View details →

Research Projects

PhD Research

Machine-Learning Automatic Tuning of Photonic Resonators

Problem: Manual tuning is slow and unstable under environmental drift
Approach: Reinforcement learning for real-time adaptation
Result: 10× speed improvement, autonomous operation
Publications →
Hybrid Systems

Electronic-Photonic Hybrid Architectures for 5G/6G

Problem: Limited bandwidth and blocker rejection in pure CMOS
Approach: Co-design of RF ICs with silicon photonic filters
Result: >30dB blocker rejection, 20+ GHz bandwidth
Publications →
High-Speed Links

Ultra-Low-Power Optical Receiver Front-Ends

Problem: Power bottleneck in 100+ Gb/s data links
Approach: Novel TIA topologies with adaptive equalization
Result: 50% power savings, <1pA sensitivity
Publications →
Energy-Efficient RF

Ultra-Low-Power RF Transmitters for IoT

Problem: Battery life limits IoT deployment scale
Approach: Switched-capacitor DC-DC with integrated PA
Result: 70% power reduction, 10mW operation
Publications →

Publications & Links

🎓 Google Scholar 💞 LinkedIn

Selected Publications

  • R. Rady et al., "Machine-Learning-Driven Automatic Tuning of Silicon Photonic Filters for High-Performance RF Signal Processing," IEEE Journal of Lightwave Technology, 2024.
  • R. Rady et al., "Hybrid Electronic-Photonic Receiver Architectures for mm-Wave 5G Communication Systems," IEEE Transactions on Microwave Theory and Techniques, 2023.
  • R. Rady et al., "Ultra-Low-Power CMOS Optical Receiver Front-Ends for High-Speed Data Links," IEEE Journal of Solid-State Circuits, 2023.
  • R. Rady et al., "Real-Time Adaptive Control of Photonic Resonators Using Reinforcement Learning," IEEE International Conference on Photonics (ICP), 2024.
  • R. Rady et al., "Energy-Efficient RF Transmitter Design with Integrated DC-DC Conversion," IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 2022.
  • R. Rady et al., "CMOS Laser Drivers for AR/VR Photonic Display Systems," IEEE International Solid-State Circuits Conference (ISSCC), 2023.
View all on Scholar →

Patents: Filed patents in RF IC design and photonic control systems (details under NDA).

Get in Touch

Let's Connect

Interested in RF IC design, silicon photonics, or AI control systems? I'd love to hear from you.

📧
💞