Education
Master of Science in Electrical Engineering (Field and Wave)
University of Tehran • Department of Electrical & Computer EngineeringGraduate coursework and thesis research concentrated on advanced electromagnetics, MIMO sensory array design, convex and non-convex optimization, Kalman target tracking, and computational microwave radar.
Master's Thesis: Design and Optimization of 1-D and 2-D Sensory Arrays for Tracking Offending and Violating Vehicles on Roads Using MIMO Systems (Advisors: Dr. S. Akhavan & Prof. K. PoorAghdam).
Methodologies: 1-D & 2-D sensory array synthesis, convex and non-convex optimization (Gradient Descent), Kalman filtering for kinematic vehicle tracking, and DBSCAN algorithm for spatial noise clustering. Degree Conferred: September 21, 2024
Methodologies: 1-D & 2-D sensory array synthesis, convex and non-convex optimization (Gradient Descent), Kalman filtering for kinematic vehicle tracking, and DBSCAN algorithm for spatial noise clustering. Degree Conferred: September 21, 2024
Bachelor of Science in Electrical Engineering
University of Tehran • Department of Electrical & Computer Engineering National Brilliant Talent Quota: Awarded entrance exam exemption for M.Sc. admissions based on top-tier academic ranking in the undergraduate cohort.
Undergraduate specialization in electromagnetic fields and waves, microwave systems, radio-frequency circuits, communication networks, and mathematical engineering analysis.
B.Sc. Thesis: Study of RF Sensor Designs and Full-Wave Simulation of Slotted-Waveguide, Microstrip Patch, and Slotted SIW Sensors at 77 GHz (Advisor: Prof. M. Kamarei).
Standardized Test Scores & Languages
GRE® General Test
ETS • Educational Testing 323/340
Oct 16, 2023 Official ETS
Quantitative Reasoning Top Percentile
Verbal Reasoning Proficient
Analytical Writing (AWA) Demonstrated
Exam: General Test Percentile: Competitive
TOEFL iBT® Test
ETS • Educational Testing 105/120
Sep 03, 2025 Latest Exam
Reading 25 / 30 • Advanced
Listening 28 / 30 • Advanced
Speaking 26 / 30 • Advanced
Writing 26 / 30 • Advanced
CEFR Level: C1 (Advanced) Center: Khatam Univ.
TOEFL iBT® Test
ETS • Educational Testing 101/120
Aug 05, 2023 Prior Exam
Reading 27 / 30 • Advanced
Listening 27 / 30 • Advanced
Speaking 21 / 30 • High-Int.
Writing 26 / 30 • Advanced
CEFR Level: C1 (Advanced) Center: Khatam Univ.
Research & Engineering Experience
Active Research Project • DevSecOps & Enterprise Security Architecture
2025 – Present- Conducting a comprehensive literature review on the core fundamentals of DevSecOps to formulate strategies for organizational-wide adoption and deployment.
- Developing implementation blueprints that bridge modern automated continuous security (CI/CD) pipelines with complex bureaucratic routines and corporate governance policies.
- Synthesizing and aligning compliance, risk management, and enterprise architecture standards featuring ISO/IEC 27001, NIST SP 800-53 / CSF, SABSA (Sherwood Applied Business Security Architecture), and TOGAF (The Open Group Architecture Framework).
Compulsory Military Service
Nov 2025 – Mar 2027- Currently fulfilling mandatory national military service obligation (commenced: November 22, 2025; scheduled completion: March 21, 2027).
Graduate Researcher • Master's Project
Jan 2022 – Sep 2024Advisors: Dr. S. Akhavan & Prof. K. PoorAghdam
- Designed and optimized 1-D and 2-D sensory arrays capable of tracking offending and violating vehicles in roads using MIMO radar systems.
- Applied convex and non-convex optimization methods, alongside Gradient Descent (GD), to synthesize tailored array factors with optimal radiation patterns and minimal sidelobe levels.
- Implemented Kalman filtering for multi-vehicle kinematic state estimation (range, velocity, azimuth) and integrated the DBSCAN algorithm for spatial noise clustering and radar clutter mitigation.
Undergraduate Researcher • B.Sc. Project
Summer 2021Supervisor: Prof. M. Kamarei
- Conducted rigorous investigation of millimeter-wave RF sensor topologies operating at 77 GHz for automotive radar and high-precision distance/velocity detection.
- Modeled, simulated, and optimized slotted waveguides, microstrip patch arrays, and Slotted Substrate Integrated Waveguide (SIW) sensors using Ansys HFSS and CST Studio Suite.
- Analyzed S-parameters, phase velocity dispersion, mutual coupling, and radiation efficiency under mechanical manufacturing constraints.
Research & Engineering Intern
Summer 2020Supervisor: Prof. K. PoorAghdam
- Simulated and implemented signal processing techniques to mitigate noise floor and spectrum leakage in high-frequency Spectrum Analyzers.
- Evaluated customized windowing functions (Kaiser, Flat-Top, Blackman-Harris) to preserve dynamic range and spectral smoothness under finite FFT window constraints in MATLAB.
- Collaborated on FPGA hardware implementation pipelines using Xilinx Vivado and VHDL modules.
Research Assistant • Machine Laboratory Monitoring
Summer 2019Supervisor: Dr. M. Abedini
- Designed and deployed an automated smart telemetry and condition-monitoring platform for electrical machines using XBee wireless sensor endpoints.
- Developed a high-performance Python desktop graphical user interface using PyQt5 running on embedded Raspberry Pi controller units.
- Research work culminated in co-authorship of peer-reviewed journal article published in Scientia Iranica (2022).
Teaching & Academic Service
Demonstrated dedication to pedagogical excellence, student mentorship, problem-solving recitations, and curriculum development across six major electrical and computer engineering courses at the University of Tehran:
Graduate Course 2023
Convex Optimization
Course Instructor: Dr. A. KeshavarzAdvanced graduate course covering convex sets, convex functions, operations preserving convexity, Lagrange duality theory, KKT optimality conditions, and interior-point methods.
Prepared and led weekly recitation problem-solving sessions on complex convex formulations.
Mentored graduate students on numerical optimization modeling using CVX (MATLAB) and CVXPY (Python).
Designed and graded comprehensive theoretical and computational problem sets.
Undergraduate 2019
Engineering Mathematics
Course Instructor: Prof. M. Tale-MasoulehCore mathematical foundations for engineering: Ordinary and Partial Differential Equations (ODEs/PDEs), Fourier series and Fourier transforms, Laplace transforms, and complex variable theory.
Conducted weekly recitations demonstrating analytical solutions to boundary value PDE problems.
Held dedicated one-on-one office hours for academic support and examination preparation.
Evaluated mid-term and final examinations with rigorous grading standards.
Undergraduate 2019, 2020
Introduction to Computing & Programming
Course Instructor: Prof. MoradiFoundations of computational thinking, algorithm formulation, procedural and object-oriented programming in C and Python, memory pointers, recursion, and data structures.
Directed computer laboratory sessions guiding over 80 students through algorithmic implementation.
Provided code debugging and refactoring guidance during lab projects.
Maintained automated testing scripts for grading weekly student programming assignments.
Undergraduate 2020
Electrical Engineering Fundamentals
Course Instructor: Prof. ShahabadiFundamental principles of electrical circuits: Kirchhoff's laws, nodal and mesh analysis, Thévenin/Norton equivalents, first and second-order dynamic circuits, and sinusoidal AC steady-state analysis.
Facilitated problem-solving workshops covering transient analysis and RLC resonant circuits.
Guided students through circuit simulation software (PSPICE) and analytical verification.
Formulated practice problem sets and conducted comprehensive review sessions.
Undergraduate 2020
Electrical Machines & Power Electronics
Course Instructor: Dr. M. AbediniElectromechanical energy conversion: Magnetic circuits, single and three-phase transformers, DC machines, induction motors, synchronous generators, and power electronic switching converters.
Supervised experimental machine laboratory setups and verified safety compliance.
Assisted students with test measurements including open-circuit, short-circuit, and load tests.
Graded laboratory reports and clarified electromechanical operating principles.
Undergraduate 2020
General Physics 2 (Electricity & Magnetism)
Course Instructor: Prof. Z. ShaterzadehFoundations of classical electromagnetism: Coulomb's law, electric fields and Gauss's law, electric potential, capacitance, magnetic fields, Biot-Savart law, Ampere's law, and Faraday's law of induction.
Taught recitation sessions focused on vector calculus applications in electromagnetic fields.
Addressed student conceptual inquiries during weekly office hours.
Evaluated problem sets and quizzes with detailed constructive feedback.
Technical Skills & Proficiencies
Electromagnetic & RF Simulation EDA
Ansys HFSS CST Studio Suite Keysight ADS COMSOL Multiphysics Cadence PSPICE
Laboratory Measurement & Instrumentation
Vector Network Analyzer (VNA) Spectrum Analyzer Digital Oscilloscope Arbitrary Function Generator
Microcontrollers & Hardware Platforms
STM32 (ARM Cortex) Arduino Raspberry Pi ESP8266 Wi-Fi NRF24L01 RF Module Digi XBee ZigBee Endpoints
Programming & Computational Languages
Python (NumPy, SciPy, PyQt5) MATLAB C / C++ JavaScript (ES6+) PHP Solidity Assembly
Mathematical Modeling & Numerical Optimization
Convex & Non-Convex Optimization Gradient Descent (GD) Kalman Filtering & Kinematics DBSCAN Noise Clustering Machine Learning & Neural Networks Finite-Difference Time-Domain (FDTD) Genetic Algorithms (GA) Particle Swarm Optimization (PSO) Numerical Differentiation & Integration Root-Finding Algorithms
Operating Systems, Networking & Security
DevSecOps Frameworks ISO/IEC 27001 & NIST CSF SABSA Enterprise Architecture TOGAF Governance Linux (Ubuntu, Debian, CentOS, Kali) Docker Containers VMware Workstation NGINX & Apache MQTT (Mosquitto & Paho) Wireshark & Tshark Network Analysis Asymmetric Cryptography (RSA, ECC)
Notable Coursework
Electromagnetics & RF Systems
- Microwave 1
- Advanced Electromagnetics
- Numerical Methods in Electromagnetics
- Antenna Theory & Array Design
Mathematics & Optimization
- Convex Optimization (Graduate)
- Advanced Engineering Mathematics
- Engineering Mathematics
- Linear Algebra
- Calculus & Analytical Geometry
Signals, Systems & AI
- Machine Learning
- Deep Neural Networks
- Blind Source Separation (BSS)
- Linear Control Systems