AI Will Not Replace Automotive Engineers
A technical leadership article on why AI can accelerate automotive software development only when architecture, validation, ownership, and engineering judgment are strong.
Writing
Published and planned notes on embedded control systems, diagnostics, validation, technical leadership, and the work of turning physical-system intent into reliable software.
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The Externalization Trap in Automotive Software
A technical leadership article on why traditional supplier models and externalized development can create dangerous organizational latency in software-defined vehicles.
The Real Cost of Automotive Software Is Learning Speed
A practical article on why software-defined vehicle competitiveness depends on physical learning speed, engineering proximity, embedded control competence, and disciplined validation.
Predictive In-Cycle Combustion Control
How predictive closed-loop controllers use pressure feedback, virtual sensing, online model adaptation, and FPGA implementation to regulate combustion within the same engine cycle.
Real-Time Combustion Control Implementation
How combustion observers, virtual sensors, diagnostic logic, and predictive controllers can be implemented under real-time FPGA hardware constraints for in-cycle combustion control.
Stochastic Fault Detection and Diagnostic Decision Logic
How probabilistic diagnostic logic, adaptive thresholds, and sensor fusion improve real-time combustion fault detection under changing operating conditions.
Stochastic Set-Point Optimization for Efficiency
How stochastic combustion models and Monte Carlo simulation can optimize combustion-control set-points while balancing efficiency, pressure-rise constraints, and pilot misfire risk.
Virtual Sensing for In-Cycle Combustion Diagnostics
How model-based virtual sensors estimate hidden combustion states early enough to support in-cycle closed-loop combustion control.
Closed-loop thinking
Why feedback remains the central idea behind reliable physical systems.
Debugging behavior
A first-principles approach to diagnosing embedded control systems.
From model to machine
What changes when a control algorithm leaves simulation and meets real hardware.
AUTOSAR Is a Constraint, Not the Architecture
A technical article placeholder on treating AUTOSAR-oriented development as an integration and delivery constraint rather than a substitute for control system architecture.
Why Control Architecture Starts Before Software Implementation
A technical article placeholder on defining behavior, boundaries, interfaces, and diagnostic responsibilities before embedded software implementation begins.
What Is Control Intelligence for Physical Systems?
A technical article placeholder framing control intelligence as the production layer between sensing, embedded software, algorithms, diagnostics, actuation, and reliable machine behavior.
Embedded Software as the Nervous System of Smart Machines
A technical article placeholder on embedded software as the connective layer between physical measurements, decisions, protection logic, actuation, and production reliability.
From Requirements to Actuation: How Control Systems Become Production Software
A technical article placeholder describing the path from requirements and system behavior to embedded control logic that drives physical action in production software.
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