I am a physicist and electrical engineer working at the intersection of integrated photonics, electromagnetics, quantum science, and complex physical systems. My background combines fundamental physics with device engineering, numerical modeling, fabrication-aware design, and experimental characterization across photonic, microwave, and quantum platforms.
My research experience spans integrated and nonlinear photonics, quantum optics and quantum communication, RF and microwave engineering, computational electromagnetics, superconducting quantum systems, condensed-matter and wave physics, and open quantum systems. I am particularly interested in systems governed by wave propagation, resonant interactions, coupling, nonlinearity, dissipation, noise, and feedback, and in understanding how these physical mechanisms can be used to develop scalable technologies for communication, sensing, computation, and quantum information processing.
On the engineering side, I work on the design and optimization of passive and active photonic integrated circuits, microwave and electro-optic structures, resonators, filters, interferometers, modulators, polarization components, transmission-line structures, and related integrated devices. My work covers the full development cycle from analytical modeling and numerical simulation to fabrication-ready layout, foundry interaction, experimental testing, and simulation-to-measurement model refinement. I also develop automated simulation, optimization, layout-generation, and measurement workflows using Python and scientific computing tools.
My theoretical interests include quantum optics, Gaussian and nonclassical states of light, cavity and circuit QED, open-system dynamics, quantum measurement, nonlinear optics, topological and non-Hermitian systems, electromagnetic scattering, Green-function methods, statistical physics, and many-body concepts. I am also increasingly interested in control, stochastic and complex systems, particularly physical noise processes, Brownian and fluctuation-driven dynamics, nonlinear feedback, system identification, and the relationship between microscopic imperfections and macroscopic system behavior.
More broadly, I am interested in research that connects different physical platforms rather than treating photonics, electronics, microwaves, and quantum systems as isolated disciplines. A recurring theme in my work is the modeling and engineering of coupled classical and quantum systems, from optical and microwave resonators to integrated photonic circuits and quantum hardware, with an emphasis on realistic loss, fabrication imperfections, environmental noise, measurement, and control.
MSc in Physics | Quantum Photonics
Supervisor: Prof. Kai Wang
BSc in Electrical Engineering | Microwave & Photonics
Supervisor: Prof. Amin Khavasi
Astronomy & Astrophysics Olympiad
Selected as the 2nd member of the Iranian team preparing for the International Olympiad (IOAA)
Diploma in Mathematics & Physics sciences
One Silicon Chip Photonics (OSCP), Montréal, Canada | Jul 2025 – Present
Working on the design, modeling, fabrication, and experimental validation of integrated photonic systems, with emphasis on low-loss photonic circuits, optical sensing, electro-optic devices, and system-level performance. My work spans the complete development cycle from physical modeling and electromagnetic simulation to parametric layout generation, foundry tape-out, device characterization, and simulation-to-measurement model refinement.
Designed and optimized passive and active photonic integrated devices and circuits, including waveguides, directional couplers, power splitters/combiners, tapers, polarization components, optical filters, interferometric structures, high-Q ring resonators, phase shifters, modulators, and electro-optic devices.
Performed design-space exploration across device geometry, coupling strength, propagation loss, bandwidth, dispersion, footprint, polarization response, fabrication tolerance, and system-level requirements.
Developed photonic circuits for coherent optical and sensing systems, including Sagnac-effect-based integrated optical gyroscope architectures, with particular attention to ultra-low-loss propagation, back-reflection, resonator behavior, polarization effects, and phase stability.
Developed electromagnetic and physical models of integrated photonic and electro-optic devices using Lumerical, COMSOL, Tidy3D, Python, MATLAB, and related numerical tools.
Modeled wave propagation, eigenmodes, directional coupling, resonances, spectral response, optical loss, dispersion, backscattering, parasitic coupling, and electro-optic interactions using full-wave and reduced-order approaches.
Analyzed high-Q resonator systems in terms of intrinsic, coupling, and loaded Q factors; under-, critical-, and over-coupling; resonance linewidth; free spectral range; photon lifetime; back-reflection; resonance splitting; and fabrication-induced degradation.
Designed and evaluated electro-optic and RF-integrated structures, including electrode geometries, coplanar structures, phase modulators, and coupled optical-electrical devices.
Analyzed electrical and RF limitations arising from capacitance, resistance, impedance, electrode spacing, parasitic effects, bandwidth, modulation efficiency, and electro-optic field overlap, linking these quantities to optical device performance.
Combined electromagnetic, circuit-level, and optical models to investigate trade-offs between modulation efficiency, optical loss, electrical loading, device length, and fabrication constraints.
Developed fabrication-ready, DRC-compliant GDS layouts using foundry PDKs and automated parametric design workflows.
Worked with KLayout, gdsfactory, IPKISS, Nazca, and Python-based layout generation for device construction, routing, test structures, design-of-experiment arrays, and chip-level organization.
Supported tape-out and fabrication activities through design-rule verification, layer-stack analysis, lithographic and etch constraints, process-tolerance studies, alignment strategy, and foundry interaction.
Worked with fabrication processes and PDK workflows involving platforms and partners including Ligentec, C2MI, Luxtelligence, AIM Photonics, AMF, ANT, and related photonic foundry ecosystems.
Investigated fabrication-related effects such as waveguide dimensional variation, etch bias, sidewall roughness, layer-thickness variation, refractive-index uncertainty, alignment tolerances, metallization constraints, and wafer/process non-uniformity.
Developed automated simulation and optimization pipelines in Python and MATLAB for geometry generation, solver configuration, parameter sweeps, result extraction, design-space exploration, and device optimization.
Built workflows connecting
parametric geometry → electromagnetic simulation → performance extraction → optimization → fabrication-ready layout
to reduce manual design iterations and improve reproducibility.
Applied parameter sweeps, fabrication-corner analysis, Monte Carlo methods, and numerical optimization to investigate device robustness and performance under realistic fabrication variations.
Used high-performance and cloud computing resources for computationally intensive simulation and optimization workflows.
Conducted passive and active characterization of integrated photonic devices, including spectral transmission, insertion loss, resonance response, free spectral range, linewidth, extinction ratio, Q-factor extraction, electro-optic response, and (V_pi)-related measurements.
Performed OFDR-based back-reflection measurements to identify and localize distributed reflections and scattering mechanisms throughout photonic circuits and relate measured signatures to physical structures on the chip.
Worked with tunable lasers, optical sources, detectors, fiber components, polarization optics, interferometric systems, and electrical instrumentation for device and subsystem characterization.
Developed Python-controlled measurement, calibration, and fiber-to-chip alignment workflows for repeatable characterization of integrated devices.
Automated wavelength sweeps, optical-power acquisition, alignment procedures, parameter extraction, and data-processing pipelines to improve measurement throughput, repeatability, and consistency.
Integrated experimental measurements with automated analysis scripts for rapid extraction of device parameters and comparison across design variants.
Compared simulated device behavior with fabricated-device measurements to identify discrepancies between ideal designs and experimental systems.
Extracted physical parameters from measured data and incorporated them into predictive models, including loss, coupling coefficients, back-reflection, resonance shifts, Q factors, fabrication offsets, and parasitic effects.
Used experimental observations to refine electromagnetic and system-level models and guide iterative redesign, creating a feedback loop between
theory → simulation → fabrication → measurement → model calibration → redesign.
A major focus of this work is understanding how microscopic physical imperfections and fabrication variations propagate into macroscopic device and system performance.
Developed system-level simulation frameworks coupling photonic devices, optical propagation, electronics, modulation, noise, measurement, and feedback/control subsystems.
Studied how device-level quantities such as propagation loss, coupling, back-reflection, resonator Q, modulation efficiency, detector response, and fabrication imperfections influence the performance limits of complete photonic systems.
Analyzed stabilization and feedback concepts for resonant photonic systems, including phase/frequency control and Pound–Drever–Hall-type resonator locking architectures.
Collaborated with photonic designers, experimentalists, electronics and hardware engineers, fabrication specialists, foundries, and system engineers throughout device development and validation.
Worked across the boundaries between theoretical modeling, electromagnetic simulation, fabrication, laboratory measurement, electronics, and system engineering to diagnose performance discrepancies and translate physical understanding into practical design decisions.
This experience has given me a full device-development perspective: from fundamental electromagnetic physics and numerical modeling to layout, fabrication, measurement, control, and system-level validation.
Integrated Photonic Devices: Design, modeling, and optimization of passive and active photonic integrated devices, including waveguides, directional couplers, asymmetric couplers, MMIs, power splitters/combiners, tapers, crossings, polarization components, Mach–Zehnder interferometers, high-Q ring resonators, optical filters, spectrometers, phase shifters, modulators, photodetectors, and fiber/chip coupling structures.
Photonic Platforms: Experience with silicon photonics, silicon nitride (SiN), thin-film lithium niobate (TFLN/LNOI), dielectric integrated photonics, and heterogeneous electro-optic systems.
Guided-Wave Optics: Optical eigenmodes, effective/group index, dispersion, polarization, birefringence, mode coupling, supermodes, directional coupling, phase matching, mode conversion, adiabatic transitions, bend loss, radiation loss, and coupled-mode theory.
Resonators & Coherent Photonic Systems: Ring and cavity resonators, intrinsic/extrinsic/loaded Q factors, under-/critical-/over-coupling, resonance splitting, backscattering, FSR, linewidth, photon lifetime, dispersion, coherent interference, and resonator-based sensing and communication systems.
Nonlinear Photonics: Second- and third-order nonlinear optics, SPDC, four-wave mixing, Kerr nonlinearities, parametric interactions, cavity-enhanced nonlinear processes, squeezed-light generation, and nonlinear coupled-mode models.
Polarization Engineering: TE/TM mode analysis, polarization splitting and conversion, birefringent systems, PM fibers, polarization-maintaining circuits, polarization filtering, and polarization-sensitive integrated devices.
Fiber Optics: Single-mode and polarization-maintaining fibers, fiber resonators, interferometric fiber systems, fiber-to-chip coupling, fiber components, Sagnac interferometers, and fiber-optic sensing architectures.
Microwave Circuits: Analysis and design of transmission lines, microstrip and guided-wave structures, resonators, filters, couplers, broadband power dividers, impedance-matching networks, and passive microwave components.
RF / Microwave Modeling: S-parameters, impedance and admittance representations, Smith-chart methods, resonant circuits, standing waves, Q factor, insertion/return loss, bandwidth, coupling, impedance transformations, parasitic capacitance/inductance, conductor and dielectric loss, and distributed-circuit effects.
RF-Photonic / Electro-Optic Integration: Microwave electrodes, coplanar-waveguide structures, lumped and traveling-wave electro-optic devices, electrode capacitance and resistance, microwave-optical velocity considerations, bandwidth limitations, impedance matching, and integrated RF/photonic co-design.
Antennas: Theory, simulation, and laboratory characterization of dipole, monopole, Yagi-Uda, helix, slot, patch, horn, reflector, and phased-array antennas; radiation patterns, polarization, gain, directivity, impedance matching, and near-/far-field behavior.
Millimeter-Wave & Imaging: Electromagnetic inverse problems, scattering-based imaging, transmitter/receiver antenna configurations, and reconstruction of three-dimensional targets from millimeter-wave measurements.
Integrated Circuits: Background in analog electronics, CMOS/BJT circuits, RLC networks, amplifiers, modulators, filters, oscillatory systems, and the interface between RF electronics and photonic/quantum hardware.
Numerical Electromagnetics: Finite-Difference Time-Domain (FDTD), Finite-Difference Frequency-Domain (FDFD), Finite Element Method (FEM), Finite-Difference Eigenmode (FDE), Eigenmode Expansion (EME), Beam Propagation Method (BPM), and Rigorous Coupled-Wave Analysis (RCWA).
Boundary Conditions: Perfectly Matched Layers (PML), periodic/Bloch boundaries, PEC/PMC boundaries, symmetry conditions, open boundaries, and absorbing boundaries.
Frequency- & Time-Domain Modeling: Wave propagation, scattering, eigenmode and eigenfrequency problems, resonances, radiation, periodic structures, multilayers, waveguides, cavities, and coupled electromagnetic structures.
Analytical Electromagnetics: Maxwell equations, Green-function techniques, electromagnetic scattering theory, waveguide theory, modal expansions, transfer/scattering matrices, coupled-mode theory, perturbative methods, and dispersion analysis.
Structured & Advanced Media: Photonic crystals, metamaterials, plasmonic structures, anisotropic materials, hyperbolic media, multilayer systems, twisted structures, and periodically modulated systems.
Quantum Optics: Quantization of the electromagnetic field, coherent states, squeezed states, Fock states, Gaussian states, photon statistics, correlation functions, quadratures, phase-space representations, and non-classical light.
Open Quantum Systems: Density matrices, master equations, Lindblad dynamics, Heisenberg–Langevin equations, quantum noise, dissipation, decoherence, input–output theory, driven-dissipative systems, and steady-state dynamics.
Cavity Quantum Optics: Optical cavities and resonators, cavity-enhanced interactions, input/output coupling, loss channels, linewidths, quantum fluctuations, nonlinear resonators, and cavity-mediated state generation.
Gaussian Quantum Information: Covariance matrices, Gaussian transformations, squeezing, displacement, homodyne measurements, Gaussian entanglement, multimode Gaussian states, and continuous-variable quantum systems.
Quantum Communication: Quantum key distribution, twin-field QKD, squeezed-state protocols, optical quantum communication, quantum channels, loss/noise modeling, detection effects, and communication-system performance.
Integrated Quantum Photonics: Generation, manipulation, propagation, and detection of quantum optical states using integrated waveguides, nonlinear devices, resonators, interferometric circuits, and photodetectors.
Circuit QED: Microwave resonators coupled to quantum systems, circuit Hamiltonians, resonator–qubit interactions, dispersive coupling, resonator-based readout, coupling regimes, and driven open quantum systems.
Superconducting Circuits: Fundamental superconductivity, Josephson junction physics, Josephson nonlinearities, superconducting resonators, transmon-type qubit concepts, capacitance/inductance networks, and microwave quantum circuitry.
Quantum Device Modeling: Translation of electromagnetic structures into effective circuit models and Hamiltonians; modeling of resonator frequencies, coupling strengths, parasitics, loss channels, fabrication imperfections, and environmental noise.
Quantum Measurement & Control: Quantum measurement concepts, resonator readout, coherent driving, feedback concepts, dissipation engineering, calibration, and the relationship between control electronics and quantum-device behavior.
Hybrid Quantum Systems: Interest in architectures combining optical, microwave, superconducting, mechanical, and electro-optic degrees of freedom for sensing, communication, transduction, and quantum information processing.
Condensed-Matter Physics: Solid-state physics, electronic and optical properties of materials, band structures, lattice systems, superconductivity, collective phenomena, and many-body concepts.
Topological Physics: Tight-binding models, SSH-type systems, band topology, Zak phases, edge states, symmetry-protected phenomena, and topological photonic implementations.
Non-Hermitian Physics: Effective non-Hermitian Hamiltonians, gain/loss systems, exceptional points, complex spectra, open-system lattices, and non-Hermitian topological systems.
Floquet & Synthetic-Dimension Systems: Periodically driven systems, Floquet models, synthetic frequency dimensions, dynamically modulated resonators, and lattice representations of photonic systems.
Statistical Physics: Equilibrium and non-equilibrium statistical mechanics, fluctuations, stochastic variables, noise processes, thermodynamics, ensembles, and many-body statistical concepts.
Theoretical Physics: Classical mechanics, electrodynamics, quantum mechanics, statistical mechanics, relativity, solid-state physics, and familiarity with field-theoretical concepts used in modern physics.
Control Engineering: Modeling and analysis of linear and nonlinear dynamical systems, transfer functions, state-space representations, stability, frequency-domain analysis, feedback, PID control, and closed-loop system behavior.
Optical & Electronic Feedback: Resonator stabilization, phase/frequency locking, servo loops, PLL concepts, Pound–Drever–Hall-type stabilization, electro-optic feedback, and control of high-Q optical systems.
Nonlinear Dynamics: Coupled nonlinear systems, resonant dynamics, bifurcation-related concepts, driven/dissipative systems, and dynamical-system modeling.
Stochastic Systems: Random processes, stochastic forcing, fluctuation and noise modeling, Brownian-type dynamics, stochastic differential-equation concepts, correlation functions, noise spectra, and propagation of uncertainty through physical systems.
Complex Systems: Interest in collective dynamics, spatially coupled systems, networks, critical phenomena, stochastic propagation, emergence, and effective modeling of complex physical systems.
System Identification & Model Calibration: Extraction of physical parameters from experimental data, fitting measured responses, identifying dominant imperfections/noise sources, and updating theoretical models using experimental observations.
Communication Theory: Analog and digital communications, modulation/demodulation, multiplexing, communication channels, noise, SNR, bandwidth, detection, and system performance.
Optical Communication: Fiber-optic links, integrated optical transmit/receive systems, modulation, photodetection, coherent/interferometric systems, and photonic communication components.
Quantum Communication: Quantum channels, optical quantum states, QKD, measurement and detection models, loss/noise analysis, and information transmission using nonclassical states.
Information Theory: Probability, entropy, mutual information, communication-channel concepts, noise processes, and classical/quantum information-theoretic principles.
Signal Processing: Sampling, Fourier analysis, filtering, convolution, spectral analysis, time/frequency-domain processing, digital and analog signals, 1D/2D data processing, and noise analysis.
GDS Layout: Fabrication-ready GDSII generation, hierarchical and parametric layouts, automated routing, device arrays, test structures, alignment marks, and chip/wafer organization.
Layout Tools: KLayout, gdsfactory, IPKISS, Nazca, and Python-based automated layout-generation workflows.
Foundry PDKs: Experience working with photonic foundry design kits and fabrication workflows involving platforms/foundries such as Ligentec, Luxtelligence, AIM Photonics, AMF, ANT, LioniX, and C2MI.
Design Rule Compliance: DRC-aware design, layer definitions, minimum feature/gap requirements, enclosure and spacing constraints, device orientation, fabrication tolerances, and tape-out preparation.
Fabrication Physics: Lithography, etching, deposition, dielectric stacks, metallization, wafer alignment, etch bias, sidewall roughness, thickness variation, refractive-index variation, and process non-uniformity.
Fabrication-Aware Design: Monte Carlo/corner analysis, tolerance-aware optimization, robustness and yield analysis, and translation of process deviations into optical/electrical performance.
Optical Laboratory: Lasers, tunable lasers, broadband/ASE sources, optical fibers, free-space lenses, mirrors, polarizers, waveplates, beam splitters, interferometers, photodetectors, and optical alignment.
PIC Characterization: Insertion loss, propagation loss, spectral transmission, resonance analysis, FSR, linewidth, extinction ratio, Q factor, polarization response, dispersion, coupling efficiency, and back-reflection.
Electro-Optic Measurements: Modulator response, phase-shifter characterization, Vπ, DC and frequency response, photodetection, electrical biasing, and RF/electrical interfaces.
Interferometry: Michelson and Sagnac interferometers, fiber interferometers, resonator-based coherent measurements, phase-sensitive measurements, and vibration/perturbation characterization.
Reflectometry: Optical Frequency-Domain Reflectometry (OFDR), distributed reflection analysis, localization of scattering/reflection sources, and comparison of measured reflection signatures with device layouts.
Automated Testing: Python-controlled instruments, automated wavelength sweeps, fiber/chip alignment, data acquisition, calibration, parameter extraction, and large-scale measurement workflows.
Microwave Measurements: Vector Network Analyzer (VNA), S-parameter characterization, insertion and return loss, resonant response, impedance measurements, and microwave-device characterization.
Antenna Measurements: Radiation-pattern measurements and comparison of measured antenna performance with analytical and simulated predictions.
Electronics Laboratory: Oscilloscopes, signal/function generators, power supplies, passive RLC circuits, active analog circuits, amplifiers, filters, and modulation experiments.
Experimental Data Analysis: Noise reduction, filtering, curve fitting, uncertainty analysis, resonance fitting, parameter estimation, calibration, and simulation-to-measurement correlation.
Ansys Lumerical — FDTD, MODE/FDE, EME, INTERCONNECT, CHARGE
Used for device- and circuit-level modeling of integrated photonic systems. Experience includes eigenmode analysis, propagation and coupling studies, directional couplers, MMIs, waveguides, resonators, filters, interferometers, polarization devices, modulators, and active electro-optic structures. I use Lumerical for both full-wave electromagnetic modeling and compact/system-level photonic simulation, as well as automated parameter sweeps and optimization through scripting and Python workflows. Ansys positions INTERCONNECT as its photonic integrated-circuit simulator, while the broader Lumerical ecosystem supports multiphysics workflows involving tools such as FDTD, MODE and CHARGE.
Flexcompute Tidy3D
Python-native electromagnetic simulation platform used primarily for large-scale and automated FDTD simulations. I use Tidy3D for photonic components, resonators, periodic structures, scattering problems, parameter sweeps, optimization, and workflows where direct integration with Python is advantageous. Its Python interface allows simulations to be constructed, executed, and post-processed programmatically, which is particularly useful for automated design-space exploration and high-throughput simulation.
Flexcompute PhotonForge
Photonic design-automation environment for connecting PIC layout, PDK-based design, component modeling, and circuit-level simulation. I use/consider PhotonForge particularly valuable for building parameterized photonic circuits, integrating foundry PDKs, moving between device-level electromagnetic models and circuit-level representations, and developing automated PIC design workflows.
MEEP
Open-source FDTD framework used for custom electromagnetic modeling, verification of numerical methods, photonic crystals, resonators, scattering problems, periodic structures, and situations where direct programmatic access to the numerical model is useful.
Zemax OpticStudio
Used for free-space and geometrical-optics design, including lens systems, Gaussian-beam propagation, imaging systems, coupling optics, ray tracing, tolerancing, and optimization of bulk optical systems.
Custom Photonics Solvers: Python / MATLAB
Implementation and use of numerical methods including FDTD, FDFD/FDE, FEM concepts, BPM, EME, RCWA, transfer-matrix methods, eigenmode analysis, and coupled-mode theory. Custom implementations are useful for understanding solver physics, testing boundary conditions, studying convergence, and developing specialized simulation workflows not limited to commercial software.
Electromagnetics/RF/Microwave
Ansys HFSS
Used for three-dimensional full-wave electromagnetic simulation of RF and microwave structures, including transmission lines, resonators, filters, couplers, impedance-matching structures, antennas, electrode structures, packaging effects, and integrated microwave components. Applications include S-parameter extraction, resonant-mode analysis, field distributions, parasitic coupling, radiation, and impedance characterization.
Keysight PathWave ADS
Used for RF and microwave circuit design, network analysis, impedance matching, transmission-line systems, filters, couplers, resonant circuits, and EM/circuit co-design. ADS is particularly useful for combining analytical/circuit models with electromagnetic representations and studying RF system behavior through S-parameters, frequency-domain simulations, and layout-aware analysis.
COMSOL Multiphysics
Used for finite-element modeling of electromagnetic, optical, electrostatic, thermal, and coupled multiphysics systems. Applications include optical waveguides, resonators, scattering, anisotropic media, RF structures, electro-optic devices, electrode fields, thermal effects, and coupled optical-electrical problems.
CST Studio Suite
Used for electromagnetic modeling of antennas, microwave structures, resonators, waveguides, RF components, scattering problems, and complex three-dimensional electromagnetic systems. Particularly useful for antenna radiation patterns, near- and far-field analysis, broadband electromagnetic response, and integrated RF structures.
PIC Layout, PDK & Design Automation
KLayout
Used for GDSII inspection, editing, hierarchical layout development, DRC inspection, layer management, fabrication review, and tape-out preparation. I also use it for checking automatically generated photonic layouts and communicating layout details with fabrication partners.
gdsfactory
Python-based parametric PIC design and layout generation. Used for defining reusable photonic components, routing, hierarchical circuit assembly, test structures, design-of-experiment arrays, port management, automatic placement, and fabrication-ready GDS generation.
PhotonForge
Used at the layout/system-design level for connecting parameterized photonic components, foundry PDKs, circuit simulations, and automated design workflows. This is particularly useful for workflows that bridge layout → component model → circuit simulation → verification.
IPKISS
Used for parametric photonic design, hierarchical PIC construction, PCells, routing, circuit definition, and PDK-oriented photonic design automation.
Nazca Design
Python-based photonic layout framework used for parameterized component generation, hierarchical GDS design, routing, and development of reusable PIC building blocks.
Foundry PDK Workflows
Experience with fabrication-aware PIC design using industrial PDKs and process constraints, including platforms associated with Ligentec, AIM Photonics, AMF, ANT, Luxtelligence, LioniX, and C2MI fabrication workflows. Work includes layer-stack interpretation, design-rule constraints, alignment considerations, layout verification, device arrays, process tolerances, and tape-out preparation.
Scientific Computing
Python
Primary environment for scientific computing, simulation automation, data analysis, optimization, layout generation, and measurement control. Typical use includes NumPy, SciPy, pandas, Matplotlib, numerical optimization, differential-equation solving, matrix and eigenvalue problems, Monte Carlo simulations, electromagnetic simulation automation, GDS generation, instrument control, and simulation-to-experiment comparison.
MATLAB
Used for numerical modeling, signal processing, electromagnetic calculations, optical simulations, differential equations, optimization, matrix methods, Fourier analysis, control systems, visualization, and rapid implementation of physics models.
Simulink
Used for dynamic-system and control modeling, feedback systems, transfer-function and state-space models, modulation systems, and integrated system-level simulations.
Mathematica
Used for symbolic and analytical calculations, algebraic manipulation, differential equations, perturbative calculations, quantum-optical derivations, Hamiltonian analysis, matrix calculations, and analytical verification of numerical models.
C/C++
Used for algorithmic and computational programming, numerical routines, data structures, recursion, searching/sorting, and implementation of computational physics algorithms.
Python: Scientific computing, numerical simulation, object-oriented programming, data analysis, optimization, visualization, automated device generation, GDS layout, instrumentation control, simulation automation, and integration of engineering libraries.
Libraries and workflows include NumPy, SciPy, pandas, Matplotlib, numerical optimization, data fitting, file/data processing, and custom physics simulation frameworks.
MATLAB: Numerical linear algebra, differential equations, optimization, signal processing, electromagnetic and optical modeling, data analysis, visualization, and Simulink-based system modeling.
Mathematica: Symbolic mathematics, analytical derivations, equation solving, perturbative calculations, quantum/optical algebra, numerical analysis, and visualization.
C/C++: Programming fundamentals, numerical computation, data structures, algorithms, recursion, searching/sorting, and implementation of computational models.
Scientific Software Development: Modular simulation frameworks, reusable physical models, parameterized designs, automated sweeps, reproducible data analysis, and simulation/measurement pipelines.
Design Optimization: Parameter sweeps, design-space exploration, multi-parameter optimization, trade-off analysis, objective-function construction, and constrained physical optimization.
Optimization Methods: Particle Swarm Optimization (PSO), Bayesian optimization, gradient-free optimization, Monte Carlo methods, and numerical search methods.
Inverse Design: Computational optimization of electromagnetic/photonic structures, physics-informed optimization, and familiarity with machine-learning-assisted photonic inverse design.
Uncertainty & Robustness: Fabrication-corner analysis, parameter distributions, Monte Carlo simulation, sensitivity analysis, tolerance studies, and yield-oriented optimization.
Data Analysis: Curve fitting, regression, statistical analysis, spectral processing, parameter extraction, visualization, experimental-model comparison, and anomaly diagnosis.
Simulation Automation: Automated geometry creation, solver configuration, parameter sweeps, result extraction, optimization loops, and post-processing using Python/MATLAB.
Layout Automation: Parametric photonic component generation, automated routing and placement, DOE generation, test-chip construction, and GDS export.
Measurement Automation: Computer-controlled instrumentation, automated alignment, synchronized measurements, calibration routines, data storage, and analysis pipelines.
High-Performance Computing: Parallel simulation workflows, computationally intensive electromagnetic modeling, batch processing, and cloud/HPC deployment.
Computing Environment: Linux, Bash, Git, version control, collaborative scientific-development workflows, and Google Cloud computing.
Differential equations · linear algebra · Fourier and Laplace transforms · complex analysis · probability and random processes · optimization · perturbation theory · eigenvalue problems · Green functions · matrix methods · numerical integration · spectral methods · statistical analysis · stochastic modeling · dynamical systems
Applications include electromagnetic waves, resonators, quantum systems, signal processing, communication, control, and coupled physical systems.
Persian: Native
English: Advanced/professional working proficiency
French: Professional working proficiency
Theoretical and computational research in nonlinear and quantum photonics, focused on the generation and optimization of squeezed coherent states in open photonic systems. My work develops analytical models and numerical simulations of parametric down-conversion and cavity-enhanced nonlinear interactions under realistic dissipation and noise. A central goal is to understand how nonclassical light sources can be engineered to improve performance in quantum communication, especially by enhancing squeezing, suppressing multiphoton contributions, and increasing secure key rates in quantum key distribution (QKD) protocols. This work combines quantum optics, open-system modeling, nonlinear photonics, and computational optimization.
Theoretical and experimental research on non-Hermitian photonic systems and topological wave physics. On the theoretical side, I investigate tight-binding and Floquet models with lattice symmetries, with emphasis on topological phases, edge states, and non-Hermitian effects such as gain, loss, and symmetry breaking. In parallel, I have been developing an experimental synthetic-frequency-dimension platform based on a ring resonator and optical fiber loop, where phase and amplitude modulation are used to emulate non-Hermitian lattice dynamics. This project connects fundamental concepts in topological photonics with experimentally accessible resonator-based implementations.
Research on wave propagation and dispersion engineering in twisted electromagnetic and photonic structures. I studied the dispersion behavior of twisted (\alpha)-MoO(_3) bilayers and the transmission characteristics of twisted photonic-crystal slabs, with particular interest in how twisting modifies anisotropic and periodic electromagnetic systems. The work involved both analytical interpretation and numerical simulation, including Finite-Difference Frequency-Domain (FDFD) modeling for twisted bilayers and Rigorous Coupled-Wave Analysis (RCWA) for photonic-crystal slabs, supported by simulations in COMSOL and Lumerical. This project strengthened my background in computational electromagnetics, structured media, and wave physics in condensed-matter-inspired photonic systems.
Experimental research experience in optical systems and precision measurement. I worked with free-space optical instruments and interferometric setups, gaining hands-on experience in alignment, characterization, and data analysis. One of my main activities was implementing a Michelson interferometer to measure mechanical vibrations of the optical table and analyze their decay behavior. This work provided practical training in interferometry, optical instrumentation, experimental troubleshooting, and the connection between physical measurements and dynamical-system behavior.
Research in inverse electromagnetic scattering and millimeter-wave imaging. I applied inverse-scattering methods to reconstruct three-dimensional images from millimeter-wave imaging data acquired by rotating transmitter and receiver antennas. The broader application was security screening, where electromagnetic measurements were used to detect concealed objects beneath clothing. This project introduced me to inverse problems, computational imaging, antenna-based sensing, and the interplay between electromagnetic theory, measurement geometry, and image reconstruction.
Awarded based on academic merit to international students pursuing an M.Sc. at McGill University.
Top rank among all applicants nationwide. Issued by Sanjesh Organization.
Top 10 rank among all applicants nationwide. Issued by Sanjesh Organization.
Awarded among 250 students from 43 countries. Held in China.
Awarded as a member of Allameh-Helli High School’s physics team. Held in Kazakhstan, with 72 teams from 15 countries.
Ranked among the top 10 in Iran’s National Olympiad. Granted direct admission to all Iranian universities.
Intro Physics - Mechanics (Prof. Lilian Childress): provided tutorial classes.
Electromagnetism & Optics (Prof. Hong Guo): graded exams and provided tutorial classes.
Mechanics and Waves (Prof. Ken Regan): graded exams.
Topics in Classical Mechanics (Prof. Guillaume Gervais): provided tutorial classes.
Introduction to Mechanics (Prof. Simon Caron-Huot): graded exams and provided tutorial classes.
Quantum Communication 1 (Prof. Jawad Salehi): provided and graded assignments and exams.
Control Engineering Laboratory (Prof. Amin Nobakhti): graded assignments.
Engineering Mathematics (Prof. Ali Banai): provided and graded assignments.
Communication Systems (Prof. Hamid Behroozi): provided assignments and tutorial classes.
Signals & Systems (Prof. Arash Amini): graded assignments.
Electromagnetic Fields & Waves (Prof. Mohammad Memarian): provided COMSOL assignments and course projects.
Electromagnetics (Prof. Mohammaad Memarian): provided assignments, course projects and tutorial classes.
Electromagnetics (Prof. Amin Khavasi): provided assignments.
Young Scholars Club: Classical and Celestial Mechanics - Cosmology - Data Analysis - Sky Observation
Allameh-Helli, Farzanegan, and other gifted high schools: Classical and Celestial Mechanics - Astrophysics - Cosmology - Galactic Dynamics - Sky Observation
Physics & Condensed Matter:
Many-Body Physics (4/4) · Advanced Statistical Mechanics (4/4) · Quantum Theory (4/4) · Solid-State Physics (4/4) · Experimental Condensed Matter (4/4)
Quantum Optics I (20/20) · Applied Quantum Mechanics (19.4/20) · Quantum Communications I (19.6/20) · Quantum Communications II (19/20) · Guided Wave Optics (19/20) · Fourier Optics (20/20) · Nonlinear Optics (18.7/20) · Plasmonics & Metamaterials (19.2/20) · Scattering Theory of Electromagnetic Waves (18/20) · Advanced Antenna Theory (15.1/20) · Advanced Engineering Mathematics (17.1/20)
Quantum Mechanics II (19.3/20) · Fiber Optics Communications (20/20) · Principles of Optics & Photonics (19.3/20)Electromagnetics (20/20) · Electromagnetic Fields & Waves (18/20) · Microwave Engineering (18.4/20) · Electromagnetic Simulation Lab (20/20) · Microwave Design & Construction Lab (20/20) · Antenna Lab (19.3/20) · Engineering Probability & Statistics (19/20)