Dr. Dongda Zhang

Assistant Professor

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Biography

Dr. Dongda Zhang is a University 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. He obtained his BSc degree from Tianjin University in 2011, followed by an MSc (Distinction) from Imperial College London in 2013. He completed his PhD at the University of Cambridge, graduating in early 2016 with special approval for early thesis submission. His research interests focus on Digital Chemical Engineering, particularly the development of methodologies and practical applications in process systems engineering, reaction engineering, machine learning, and industrial data analytics. As an Associate Editor of Digital Chemical Engineering, he also serves on the editorial board of the Biochemical Engineering Journal and is a member of various expert boards. His ongoing research projects include kinetic modelling, real-time monitoring of batch processes, and advanced control in bioprocessing. Dr. Zhang actively mentors PhD students and seeks ambitious undergraduate students for research internship opportunities. His research combines multidisciplinary approaches to advance understanding and development in complex biochemical processes.

Research Interests

Experience

Lecturer

2017-01-01 — Present

University of Manchester • Manchester

Teaching and leading research in Chemical Engineering, specializing in process systems engineering and data analytics.

Awards

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Leverhulme Early Career Fellowship

Patents

Artificial Intelligence Powered Framework for Online Production Scheduling

AIOLOS

Project aimed at optimizing production scheduling using AI techniques.

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.