Back

Dinh brings a research-informed approach to modeling, control, verification and the representation of physical systems in software. His experience spans battery models, hardware-in-the-loop testing, vehicle-control systems and digital twins. As Principal Robotics Engineer, he connects this foundation with the needs of perception and decision-making systems: explicit assumptions, meaningful observations, testable behavior and a model that can be compared with the physical platform.

Selected experience

Battery models and hardware-in-the-loop testing

FPT Software, Model-based engineering

His BMS/HIL experience includes the design and verification of real-time battery models and the development of advanced test scenarios. This work requires an understanding of physical behavior, model fidelity, timing and the interface between a controller and a simulated plant. It provides a strong foundation for building test environments that reveal behavior and failure modes before every experiment must run on physical hardware.

Digital twins and connected-system operation

GEM Japan, Car Connectivity Consortium context

Dinh’s experience includes a digital-twin platform supporting Car Connectivity Consortium operations. The work connects system representation, operational behavior and the interfaces needed to inspect and coordinate a connected platform. In a robotics engagement, the same discipline helps make a model useful to engineers: consistent states, observable interactions and a clear relationship between the software representation and its physical counterpart.

Vehicle control and system-level verification

Automotive OEM support, Nonlinear modeling and control

His background includes modeling and verification of complex nonlinear vehicle-control systems. The emphasis is on understanding system behavior and carrying that understanding into verification, rather than treating a control algorithm as an isolated formula. This perspective supports robotics and autonomous-platform work in which sensing, decision logic, actuation, timing and feedback must be considered together.

Education & Development

Dinh earned an M.S. in Electrical and Computer Engineering at Yokohama National University, Japan (2012–2014), followed by a Ph.D. in the same field (2014–2018). His professional experience includes a technical-lead role at FPT Software beginning in April 2018, along with work in MATLAB/Simulink, model-based design and HIL environments. He also brings Japanese and English language capability and experience working with Japan-based engineering teams.

Collaboration

Dinh can help partners clarify a physical-system model, structure a simulation or HIL environment, investigate control behavior and define a verification approach. For robotics, his contribution can connect sensing and state estimation with decision-making and feedback control. He brings depth to engagements where a team needs to understand why a system behaves as it does and how to test a proposed solution systematically.

Full professional background
  • 15+ years of combined academic and industry experience in electrical/mechatronics engineering and Model-Based Design (MBD)
  • Technical Leader at FPT Software since April 2018; Ph.D. & M.S. in Electrical and Computer Engineering, Yokohama National University, Japan
  • Deep expertise in HIL testing and Battery Management Systems (BMS) for automotive OEMs and suppliers
  • Designed and verified real-time battery models for a BMS HIL test program, improving test efficiency and enabling advanced test scenarios
  • Developed a Digital Twin platform for CCC (Car Connectivity Consortium) operations at GEM Japan, strengthening automotive connectivity and consortium-standard compliance
  • Modeled and verified complex nonlinear vehicle control systems on automotive OEM support programs, driving system-level verification and standards compliance
  • Fluent in Japanese and English, with deep embedding in global (Japan-based) automotive engineering teams

Expertise

  • Model-Based Design (MBD)
  • HIL Testing
  • Battery Management Systems (BMS)
  • MATLAB/Simulink/TargetLink/dSPACE SCALEXIO
  • Digital Twin Development
  • Nonlinear Control Systems

Published notes 4