Detong Zhang serves as an R&D Principal Technologist in Product Development Execution at Schneider Electric, where he leverages his extensive expertise in scientific and engineering software research to drive innovation in advanced process control and optimization solutions. With a solid foundation in sparse linear algebra,...
Detong Zhang serves as an R&D Principal Technologist in Product Development Execution at Schneider Electric, where he leverages his extensive expertise in scientific and engineering software research to drive innovation in advanced process control and optimization solutions. With a solid foundation in sparse linear algebra, numerical optimization, and nonlinear analysis, Detong plays a pivotal role in the development and support of cutting-edge software tools, including the Real Time Optimization (RTO) software ROMeo and the Process Simulation (PS) software SimCentral. His focus on nonlinear programming (NLP) and mixed-integer nonlinear programming (MINLP) using C++ enables him to tackle complex optimization challenges that are critical to enhancing operational efficiency in power grid analysis and industrial processes.
Detong's work is characterized by a deep understanding of ordinary differential equations (ODE), differential-algebraic equations (DAE), and partial differential equations (PDE), which he applies to create robust simulation models that accurately reflect real-world scenarios. His proficiency in programming languages such as C++, C#, and Python, combined with his experience in numerical analysis and simulation techniques, allows him to develop sophisticated algorithms that optimize performance and reduce operational costs.
In addition to his technical skills, Detong excels in requirements analysis and project management, ensuring that the software solutions not only meet industry standards but also align with client needs. His contributions to the field of advanced process control and optimization position him as a thought leader at Schneider Electric, where he continues to push the boundaries of what is possible in real-time optimization and process simulation. Through his innovative approach, Detong Zhang is helping to shape the future of energy management and automation in an increasingly complex industrial landscape.
