Solution Architect · Model-Based Development
Solution Architect at ZF Group · Vehicle Motion & Chassis · MBD · Virtual Sensors
I translate complex physical-system problems into clear architectures, physics-based models, virtual sensing methods, and simulation-led development workflows.
My work connects five engineering layers: the physical system, sensing, control, digital representation, and system architecture.
01 — Physical Systems & Multiphysics. Vehicle chassis and suspension, hydrogen and fuel-cell subsystems, compressors, thermal-fluid systems, refrigeration, and physics-based plant modeling.
Examples: Vehicle chassis · Active suspension · Fuel-cell subsystems · Thermal-fluid systems
Explore this capabilityExperience & Evidence / 01
A cross-domain path from computational physics and industrial thermal systems to electrification, virtual sensing, functional safety, and vehicle motion.
Research metrics as of July 2026
Capabilities / 02
A practical combination of physical-system modeling, sensing, controls, Model-Based Development, systems architecture, and functional safety. AI/ML appears here as an engineering method—grounded in physics, data, validation, and deployable workflows.
Vehicle chassis and suspension, hydrogen and fuel-cell subsystems, compressors, thermal-fluid systems, refrigeration, and physics-based plant modeling.
Physical and virtual sensors, observers, signal reconstruction, state estimation, and physics-informed sensing methods.
Vehicle dynamics, motion-control concepts, active suspension, actuator behavior, controller evaluation, and feedback-system integration.
MATLAB, Simulink and Simscape modeling, multi-domain simulation, model architecture, solver strategy, virtual testing, test correlation, and digital-twin development.
Requirements flow-down, functional decomposition, system interfaces, integration strategy, ISO 26262-oriented development, technical risk assessment, and verification readiness.
Selected Work / 03
Public-safe case studies focused on the problem, system boundary, technical contribution, and methods—without exposing confidential program information.
Vehicle motion · Digital twin
Architecture and integration of vehicle-level, multi-domain models supporting chassis-system exploration, active-suspension concepts, controller evaluation, virtual testing and test correlation.
Virtual sensing · Hydrogen systems
Development of physics-informed and data-assisted estimators for hydrogen mixture properties, density, mass flow and recirculation states in fuel-cell subsystems.
Systems engineering · Functional safety
Systems architecture and functional-safety development for fuel-cell air-path, hydrogen-recirculation and electrified compressor applications.
Research, Innovation & IP / 04
A foundation in computational physics and high-fidelity modeling, extended into protected innovation, virtual sensing, vehicle systems, and deployable engineering methods.
Career Journey / 05
A progression from computational physics to architecture for intelligent physical systems.
Computational physics, CFD, turbulence, HPC, and validation
Refrigeration, vacuum flow, freeze-drying, and industrial thermal systems
Heat Transfer, Computer Simulation, MATLAB/CFD teaching
Electrified systems, MBSE, compressor/motor modeling, and ISO 26262
Fuel-cell systems, virtual sensing, patent filings, and funded innovation
Vehicle motion, chassis architecture, and simulation-led engineering
Tools, simulations, and educational products
Engineering Lab / 06
Four concept-stage explorations connect foundational engineering ideas with interactive learning.
An educational browser model for examining body motion, suspension response, and controller intent.
A visual engineering tool for transformations, signal reconstruction, and state-estimation fundamentals.
A public educational surface for map interpretation, operating boundaries, and system-level trade-offs.
An experiment in structured model summaries, traceable assumptions, and AI-assisted engineering documentation.