Electrical Engineering · Telecommunications (Fields & Waves)
Ranked #1 in the Telecommunications program at the University of Kashan. My work blends rigorous electromagnetic modeling with photonic oscillators and data-driven RF intelligence—from FDML-OEO noise analysis to CNN-BiLSTM digital twins that estimate instantaneous chirp frequency with R² = 0.95 and RMSE = 185.5 MHz across a 2.337 GHz span.
Academic Rank
#1, University of Kashan
M.Sc. Electrical Eng., Telecommunications
CNN-BiLSTM Twin
R² = 0.95 · RMSE 185.5 MHz
2.337 GHz chirp span
Signal Path Focus
About
M.Sc. Electrical Engineering (Telecommunications: Fields & Waves), ranked #1 at the University of Kashan, with a focused path in RF and microwave systems, microwave photonics, and FDML‑OEO research.
My research philosophy emphasizes careful modeling, measurable validation, and the translation of electromagnetic theory into deployable RF architectures. I work at the intersection of microwave photonics and intelligent signal processing, including FDML‑OEO analysis and ML‑assisted RF inference, with a steady focus on clarity, reproducibility, and system-level relevance.
I value simulation‑driven engineering as a foundation for confident design, combining tools like MATLAB, CST, and OptiSystem with data‑aware methods. Cloud‑scalable workflows are a complementary area of development, supporting future‑ready experimentation without redefining the core research identity.
Research Interests
Working Style
I welcome collaborations that value precision, system understanding, and the bridge between theory and real‑world performance in advanced RF and photonic platforms.
Research
My research program integrates RF and microwave photonics with data-driven signal analysis to design high-frequency, low phase-noise systems. The core focus is on Fourier-Domain Mode-Locked Optoelectronic Oscillators (FDML-OEO) for broadband signal generation and sensing.
I developed a system-level simulation framework in MATLAB that couples optical and RF components including laser sources, Mach–Zehnder modulators, fiber delay lines, EDFAs, tunable filters, and photodetectors. This model produces wideband chirped microwave signals with realistic component constraints.
Complementing the physics-based work, I built a CNN-BiLSTM digital twin for instantaneous chirp-frequency estimation, enabling accurate real-time inference across a multi-GHz span.
Key quantitative outcome
R² = 0.95
Prediction fidelity
RMSE 185.5 MHz
Instantaneous chirp error
2.337 GHz
Chirp span covered
Comprehensive time- and frequency-domain modeling of a Fourier-Domain Mode-Locked Optoelectronic Oscillator, emphasizing loop dynamics, stability, and phase-noise suppression in realistic optoelectronic chains.
Hybrid convolutional and bidirectional LSTM architecture for instantaneous chirp-frequency inference on broadband waveforms, bridging physics-based simulation with data-driven estimation.
A unified research agenda focused on high-stability oscillators, photonic-assisted RF systems, and machine-learning-augmented signal intelligence for sensing and communications.
Methodological Focus
Noise modeling, loop optimization, RF–photonics co-design, and robust inference.
Applications
Radar-grade chirped sources, precision sensing, and high-speed communications.
Selected Technical Case Studies
Each case study condenses a larger body of work into the core problem, approach, and outcome. The focus stays on model fidelity, noise analysis, and system-level validation across RF, microwave photonics, and ML-enabled digital twins.
Extended technical documentation and project notes are available upon request.
ProblemCapture FDML-OEO dynamics while preserving phase-noise accuracy and linewidth behavior.
ApproachEnd-to-end MATLAB and OptiSystem models with verified noise-transfer functions and stability sweeps.
OutcomeValidated noise and stability framework suitable for photonic oscillator design trade studies.
ProblemEstimate chirp frequency in real time across multi-GHz spans with high accuracy.
ApproachHybrid CNN-BiLSTM with physics-informed preprocessing and synthetic-data calibration in PyTorch.
OutcomeAchieved R² = 0.95 and RMSE 185.5 MHz over a 2.337 GHz span for robust tracking.
ProblemQuantify RF chain performance limits under wideband, nonlinear, and noise-coupled conditions.
ApproachMulti-tool workflow across ADS, AWR, and CST integrating S-parameter integrity and noise budgets.
OutcomeProduced defensible link-budget and sensitivity maps for design decisions and trade-offs.
Looking for deeper technical documentation, datasets, or collaboration notes? Detailed project records are available on request.
Articles
A focused set of selected technical notes and explainers written for academic and engineering readers. Each piece distills a complex topic into a clear, actionable framework while preserving rigorous technical grounding.
This is a curated selection for a one-page portfolio; the archive can expand over time as new material is prepared.
A disciplined walkthrough of Fourier-Domain Mode-Locked Optoelectronic Oscillators, framing the system loop, sweep synchronization, and stability boundaries. Readers learn how FDML timing, filtering, and feedback dynamics shape linewidth and noise performance.
A practical bridge between photonic components and RF system design. The article outlines where optical links improve bandwidth and linearity, how to reason about link gain and noise, and what trade-offs to evaluate in RF–photonics co-design.
A methodical overview of low-phase-noise architectures and modeling choices, from resonator selection to noise budgeting. Readers gain a structured checklist for stability, frequency synthesis, and system-level trade-offs in RF and microwave sources.
Skills & Tools
A focused map of research competencies that prioritize rigor, repeatability, and engineering-grade validation.
Research-driven methodology, ready for industrial constraints
System-level RF design with attention to propagation, S-parameters, impedance matching, filters, and phase-noise behavior—anchored in measurement-aware analysis.
Photonic-assisted RF links, modulation architectures, and optoelectronic transfer dynamics for low-distortion microwave transport and processing.
FDML-OEO modeling, phase-noise characterization, and loop stability optimization for ultra-low jitter microwave generation.
CNN-BiLSTM digital twin for instantaneous chirp-frequency estimation with R² = 0.95 and RMSE = 185.5 MHz across a 2.337 GHz span.
Electromagnetic, photonic, and system-level simulations to validate feasibility, quantify risk, and guide experimental design decisions.
Core environments used for RF/photonic simulation, system design, and ML prototyping with reproducible workflows.
Publications & Talks
A structured space to document peer-reviewed work and invited talks in RF, microwave photonics, optoelectronic oscillators, and machine learning for signal processing. Entries below are placeholders designed for accurate, verifiable metadata.
Add full citation details including title, venue, volume, and DOI when available.
Paper Title Placeholder
Venue / Journal Placeholder · Volume / Issue
Topic area: RF systems / microwave photonics / optoelectronic oscillators
Paper Title Placeholder
Conference / Symposium Placeholder · Location
Topic area: ML for RF signal processing / digital twins
Paper Title Placeholder
Journal / Transactions Placeholder · Under review / accepted
Topic area: noise analysis / oscillator stability / modeling
Add invited talks, seminar presentations, or conference sessions with hosting institutions.
Talk Title Placeholder
Host / Conference Placeholder · City, Country
Topic area: FDML-OEO simulation / noise analysis
Talk Title Placeholder
Seminar / Lab Placeholder · Department
Topic area: ML-assisted RF signal intelligence
A full list of publications, preprints, and invited talks can be shared upon request.
Now
This section captures the work I am actively prioritizing at the moment — it is meant to be a living snapshot rather than a permanent biography.
Advancing research at the intersection of RF systems, microwave photonics, and intelligent signal processing, with emphasis on robust modeling and measurable performance.
Preparing targeted PhD applications while building international research relationships that align with high-impact RF and photonics initiatives.
Strengthening cloud-ready and data-centric engineering practices that support simulation, reproducibility, and large-scale technical computing.
Resume / CV
The CV consolidates my M.Sc. education in Telecommunications (Fields & Waves), ranked #1 at the University of Kashan, alongside focused research in RF/microwave engineering, microwave photonics, and optoelectronic oscillators. It is prepared for PhD applications, international collaboration, and high-impact R&D roles, with clear documentation of methods, outcomes, and toolchains.
CV file will be shared upon request and final update
Contact
I welcome PhD supervision inquiries, research collaboration discussions, and industry R&D conversations at the intersection of RF, microwave photonics, and intelligent signal systems.
Direct contact details, LinkedIn, GitHub, Google Scholar, ORCID, and email can be added here once confirmed.
To be added upon confirmation
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GitHub
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Google Scholar
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ORCID
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If an introduction through a colleague is preferred, I am happy to connect via mutual academic or industry contacts.