Dongda Zhang
Scholar

Dongda Zhang

Google Scholar ID: g25KQLwAAAAJ
University Lecturer, School of Chemical Engineering and Analytical Science, University of Manchester
Digital Chemical EngineeringProcess Systems EngineeringReaction EngineeringMachine LearningIndustrial Biotechnology
Citations & Impact
All-time
Citations
2,811
 
H-index
31
 
i10-index
55
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Associate Editor for Digital Chemical Engineering
  • - Member of Editorial Board of Biochemical Engineering Journal
  • - Member of BBSRC Pool of Experts for Bioprocess Systems Engineering
  • - Member of the Industrial Management Board, Centre for Process Analytics and Control Technology (CPACT)
  • - Published 69 research papers
  • - Received 2 prizes
  • - Involved in 1 project
Research Experience
  • - After completing his PhD in early 2016, he was invited by the Chinese Academy of Sciences and several universities for short research visits
  • - Then moved to the Centre for Process Systems Engineering at Imperial College London as a postdoctoral research associate
  • - In 2017, he was awarded the prestigious Leverhulme Early Career Fellowship at the University of Cambridge, followed by his appointment at the University of Manchester as a University Lecturer in the same year
Education
  • - BSc degree: 2011, Tianjin University
  • - MSc (Distinction) degree: 2013, Imperial College London
  • - PhD degree: 2016, University of Cambridge, Advisor information not provided, in Chemical Engineering
Background
  • - Research Interests: Chemical and biochemical Process Systems Engineering, Reaction Engineering, Machine Learning, Industrial Data Analytics
  • - Professional Field: Digital Chemical Engineering
  • - Biography: Lecturer in the Department of Chemical Engineering at the University of Manchester and an Honorary Research Fellow at the Centre for Process Systems Engineering, Imperial College London. His research group focuses on developing industrially focused mathematical modeling and data analytical techniques to understand and operate complex chemical and biochemical processes.
Miscellany
  • Information about personal interests and hobbies is not provided