Research output per year
Research output per year
Dr
Dr. Dongda Zhang is a University Lecturer at the Department of Chemical Engineering, the University of Manchester and an Honorary Research Fellow at the Centre for Process Systems Engineering, Imperial College London. His research group focuses on Digital Chemical Engineering, with primary interests in chemical and biochemical Process Systems Engineering, Reaction Engineering, Machine Learning, and Industrial Data Analytics. He is currently an Associate Editor for Digital Chemical Engineering, a member of Editorial Board of Biochemical Engineering Journal, a member of BBSRC Pool of Experts for Bioprocess Systems Engineering, and a member of the Industrial Management Board, Centre for Process Analytics and Control Technology (CPACT).
He holds BSc degree (2011) from Tianjin University and MSc (Distinction) degree (2013) from Imperial College London. He started his PhD research at the University of Cambridge in 2013, completed his research within 2 years, and graduated at the beginning of the third year after the University special approval for Thesis Early Submission. Upon the completion of his PhD in early 2016, he was invited by the Chinese Academy of Sciences and several universities for short research visits, and 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.
My research group focuses on the development of methodologies and practical applications for industrially focused mathematical modelling and data analytical techniques, aimed at understanding and operating complex chemical and biochemical processes. We are interested in exploring how advanced 'digital technologies', particularly integrated through interpretable machine learning and data intelligence techniques, along with rigorous mathematical analysis and physical modelling approaches, can accelerate novel process development and automate industrial process manufacturing. The research activities of the group are multidisciplinary, combining Process Systems Engineering, Machine Learning, Reaction Engineering, Data Analytics, and Systems Biology. Our ongoing research projects include the kinetic modelling of catalytic reaction networks and metabolic reaction networks; real-time monitoring of batch processes, soft-sensing, online optimisation, and advanced control; industrial data analytics and visualisation; as well as multiscale modelling and upscaling of biochemical and formulation processes for biorenewable and fine chemicals production.
The three major research areas at this moment are:
We warmly welcome ambitious students who are interested in the fields of machine learning, reaction engineering, data analytics, process systems engineering, and biochemical engineering to apply for PhD positions. Currently, all our PhD students are fully sponsored by various scholarships. We are also actively seeking competitive undergraduate students who are enthusiastic about undertaking industrially focused research internship projects. If you are interested in these opportunities, please don't hesitate to contact me via email: [email protected].
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Member of Industrial Management Board, Centre for Process Analytics and Control Technology (CPACT)
2021 → …
Subject Editor for Digital Chemical Engineering Journal, Elsevier BV
2021 → …
Guest Editor for Bioengineering Special Issue 'Biological Process Modelling, Monitoring and Control in a Rapidly Changing World', MDPI AG
1 Jun 2020 → 31 Jan 2021
BBSRC Research Committee Pool of Experts, Biotechnology & Biological Sciences Research Council (BBSRC)
2020 → 2023
Member of Editorial Board for Biochemical Engineering Journal, Elsevier Ltd
2020 → …
Honorary Research Fellow, Department of Chemical Engineering, Imperial College London
2018 → 2023
UKRI Future Leaders Fellowships Peer Review College, Science & Technology Facilities Council (STFC)
2018 → 2021
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Zhang, D. (Recipient), 2017
Prize: Fellowship awarded competitively
Zhang, D. (Speaker)
Activity: Talk or presentation › Invited talk › Research
Zhang, D. (Associate editor)
Activity: Publication peer-review and editorial work › Editorial work › Research
Zhang, D. (Speaker)
Activity: Talk or presentation › Invited talk › Research
Zhang, D. (Speaker)
Activity: Talk or presentation › Invited talk › Research
Zhang, D. (Speaker)
Activity: Talk or presentation › Invited talk › Research