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Dongda Zhang is a University Lecturer in the Department of Chemical Engineering at the University of Manchester, with expertise in Process Systems Engineering. He also serves as an Honorary Research Fellow at the Centre for Process Systems Engineering, Imperial College London. His research focuses on Digital Chemical Engineering, specifically in areas such as chemical and biochemical Process Systems Engineering, Reaction Engineering, Machine Learning, and Industrial Data Analytics. Zhang completed his BSc at Tianjin University and earned his MSc with Distinction from Imperial College London. He pursued his PhD at the University of Cambridge, completing research within three years. He was awarded the prestigious Leverhulme Early Career Fellowship in 2017. Zhang's research group is dedicated to developing methodologies and applications of mathematical modeling and data analytics techniques to enhance the understanding of complex chemical and biochemical processes. Current research projects include kinetic modeling of catalytic reaction networks, real-time monitoring of batch processes, and the application of AI-driven technologies in industrial manufacturing.
University of Manchester • Manchester, ENG, GB
Teaching and researching in the field of Chemical Engineering with a focus on Process Systems Engineering and Machine Learning.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.