TEHRAN
ELECTRICAL ENGINEERING · CONTROL SYSTEMS
I work on control problems where nonlinear dynamics, autonomous systems, and electrical infrastructure meet.
I / RESEARCH DIRECTION
Better models matter only when they improve the decisions made around a physical system.
NONLINEAR SYSTEMS / SYSTEM IDENTIFICATION
I study Koopman operators and Extended Dynamic Mode Decomposition as a route from measured nonlinear trajectories to finite-dimensional lifted models that can be evaluated, interpreted, and used in control-oriented workflows.
Ongoing research · Shahid Beheshti University
SAFE AUTONOMY / MULTI-AGENT SYSTEMS
I investigate collision avoidance and connectivity-preserving coordination for interacting agents, with particular attention to disturbances, moving obstacles, and the gap between mathematical constraints and implementable controllers.
Safety-critical coordination research
SMART ENERGY / GRID INTERACTION
My engineering work around electric-vehicle charging connects constrained schedules, user departure requirements, battery limits, and bidirectional vehicle-to-grid operation with practical power-system considerations.
Ongoing engineering internship
A WORKING PRINCIPLE
Build the simplest model that can still answer the engineering question.
II / REPRODUCIBLE PROJECTS
Public-facing simulations are reproducible, synthetic where appropriate, and separate from unpublished university or employer work.
A reproducible Duffing-like benchmark with trajectory-level train, validation, and test separation, ridge-selected EDMD, and a linear DMD reference model.
Python · NumPy · SciPy · automated tests
Synthetic benchmark; result is scenario-specific, not a claim of general performance.
Four-agent coordination with pairwise separation, bounded communication edges, a moving obstacle, and a constrained safety filter applied to nominal goal-seeking commands.
Python · constrained optimization · simulation
Deterministic portfolio demonstration with single-integrator dynamics.
A 24-hour linear-programming example that respects battery and charger constraints, reaches the required departure state of charge, and compares against immediate charging.
Python · linear programming · CSV reporting
Illustrative tariffs only; no commercial or employer dataset is used.
III / FIELD NOTES
Shahid Beheshti University
Data-driven nonlinear dynamics, system identification, and safety-critical coordination.
Electrical Networks Research Institute
Technical documentation, simulation support, project coordination, and institute web development.
Fara Control Ideh Pajouhan
Charging control, scheduling strategies, and bidirectional grid interaction.
Pishro Energy Engineering Company
P&IDs, instrument datasheets, maintenance-related engineering, and technical documentation.
Independent practice
Web applications using Python, Django, JavaScript, and front-end technologies.
IV / TECHNICAL TOOLKIT
Nonlinear dynamics · Koopman-EDMD · Control barrier functions · Multi-agent systems
Python · MATLAB / Simulink · C / C++ · COMSOL · Scientific simulation
EV charging · Vehicle-to-grid · Instrumentation · STM32 · Altium Designer
Django · JavaScript · HTML / CSS · Bootstrap · Technical writing
V / NEXT STEP
I am interested in research-oriented work spanning control, intelligent systems, safe autonomy, and sustainable energy.