Electrical Engineer · RF & Microwave · Microwave Photonics
M.Sc. Telecommunications (Fields & Waves), ranked #1 at the University of Kashan. Research focused on FDML-OEO simulation and noise analysis, with a CNN-BiLSTM digital twin achieving R² = 0.95 and RMSE = 185.5 MHz across a 2.337 GHz chirp span.
Tooling
MATLAB · CST · ADS · AWR · OptiSystem
ML Stack
Python · PyTorch · Signal Intelligence
About
I am also expanding my expertise toward cloud engineering and AWS-based platforms for scalable signal processing and data-driven systems.Electrical Engineer with an M.Sc. in Telecommunications (Fields & Waves), focused on bridging rigorous research with practical RF and microwave system innovation.
My work centers on RF and microwave engineering, microwave photonics, and optoelectronic oscillator (OEO) systems, with an emphasis on translating analytical rigor into deployable architectures. I pursue intelligent RF modeling approaches that combine physical insight with data-driven methods for robust system performance.
Research Interests
Research Orientation
I collaborate with research teams and industry partners seeking high-precision analysis, thoughtful modeling, and measurable performance gains across advanced RF systems.
Research
My research focuses on the design and simulation of advanced optoelectronic oscillator systems, particularly Fourier-Domain Mode-Locked Optoelectronic Oscillators (FDML-OEO) for low phase-noise and high-frequency signal generation.
I developed a full system-level model in MATLAB, integrating optical and RF components including laser sources, Mach-Zehnder modulators, fiber delay lines, EDFAs, tunable optical filters, and photodetectors.
The system enables the generation of chirped microwave signals with wide bandwidth, suitable for applications such as radar, sensing, and high-speed communication systems.
In addition, I implemented a data-driven approach using a CNN-BiLSTM model to estimate instantaneous chirp frequency, achieving:
R² ≈ 0.95
RMSE ≈ 185 MHz over a multi-GHz bandwidth
This work bridges microwave engineering, photonics, and machine learning for next-generation signal processing systems.
Key quantitative outcome
R² = 0.95
Prediction fidelity
RMSE 185.5 MHz
Instantaneous chirp error
2.337 GHz
Chirp span covered
Simulation and noise analysis of a Fourier-Domain Mode-Locked Optoelectronic Oscillator, with emphasis on phase-noise suppression, loop dynamics, and stability under realistic component constraints.
Deep learning model for instantaneous chirp-frequency estimation across broadband waveforms. Designed a hybrid convolutional and bidirectional LSTM architecture for robust temporal inference.
Blending analytical modeling with computational engineering to advance high-frequency, high-stability systems for communications and sensing.
Methodology Themes
Noise modeling, loop dynamics, signal integrity, and neural estimation.
Impact
Improves oscillator stability and enables accurate chirp tracking for radar and photonic systems.
Selected Projects
Each project emphasizes model fidelity, noise analysis, and system-level validation using disciplined simulation workflows. The work spans RF/microwave systems, microwave photonics, and machine learning-driven digital twins.
End-to-end simulation of FDML-OEO dynamics with phase-noise modeling, linewidth estimation, and system stability analysis. Built in MATLAB and OptiSystem with verified noise transfer functions.
Hybrid deep-learning model for real-time chirp-frequency tracking with R² = 0.95 and RMSE 185.5 MHz across a 2.337 GHz span. Pipeline integrates synthetic data generation, physics-informed preprocessing, and validation.
Multi-tool workflow across ADS, AWR, and CST to evaluate RF chain performance, S-parameter integrity, and nonlinear noise contributions. Emphasis on link-budget validation and parameter sensitivity.
Looking for deeper technical documentation, datasets, or collaboration notes?
Articles
Concise articles focused on advanced RF, microwave photonics, and signal generation concepts, written for both academic and industry readers.
A clear, structured explanation of Fourier-Domain Mode-Locked Optoelectronic Oscillators, breaking down the feedback loop, sweep dynamics, and stability concepts in accessible technical language.
Bridging photonic fundamentals with practical RF system design, highlighting where optical techniques enhance bandwidth, linearity, and signal distribution.
A focused overview of design strategies and modeling approaches for achieving stable, low-noise signal sources across RF and microwave architectures.
Skills & Tools
A curated view of core competencies, structured to reflect research rigor and applied engineering practice.
Graduate-level focus with industry-ready toolchain
Propagation, antenna concepts, S-parameters, impedance matching, filter design, and system-level RF analysis with an emphasis on rigorous measurement mindset.
Photonic-assisted RF signal processing, optical modulation strategies, and photodetector dynamics for high-fidelity microwave links.
Fourier-Domain Mode-Locked OEO simulation, phase noise analysis, and stability optimization for ultra-low jitter sources.
CNN-BiLSTM digital twin for instantaneous chirp-frequency estimation with R² = 0.95 and RMSE = 185.5 MHz over 2.337 GHz span.
System-level modeling, electromagnetic simulation, and photonic link analysis to validate feasibility before fabrication.
Primary environments used for research, simulation, and ML model development.
Resume / CV
For PhD supervision, international research collaboration, and advanced R&D roles, I provide a detailed CV highlighting publications, technical projects, and multidisciplinary toolchains. If you need a tailored version for a specific call or laboratory, I am happy to prepare it promptly.
CV file to be attached upon final update
Contact
I welcome conversations about PhD supervision, international research collaboration, and industry R&D roles at the intersection of RF, microwave photonics, and intelligent signal systems. If you are exploring a high-impact project or need a specialist perspective, I would be glad to connect.
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Prefer an introduction through a colleague? I am happy to connect via mutual academic or industry contacts.