معرفی
Professor Vivek Dua is a Professor of Chemical Engineering at University College London's Department of Chemical Engineering, where he serves as Deputy Head (Education) and Director of Undergraduate Studies. He joined UCL in January 2004 and has established himself as a leading researcher in optimization under uncertainty with applications in healthcare, energy, and environmental systems.
Professor Dua's educational background includes:
- PhD in Chemical Engineering from Imperial College of Science, Technology and Medicine (2000)
- Master of Technology from Indian Institute of Technology, Kanpur (1995)
- Bachelor of Engineering from Panjab University, Chandigarh (1993)
- Certificate in Learning and Teaching in Higher Education from University College London
Professor Dua's research focuses on developing novel modeling, design, control and optimization tools for solving process systems and healthcare engineering problems. His work spans multiple domains including optimization under uncertainty, multi-parametric programming, model predictive control, and data-based modeling using neural networks. A significant portion of his research addresses real-world challenges in energy systems and healthcare applications, particularly in gene therapy for haemophilia B and cystic fibrosis. His recent work demonstrates a strong emphasis on applying machine learning techniques to industrial processes, with a focus on sustainability and circular economy applications.
Professor Dua's publication record shows a clear trend toward integrating machine learning with traditional chemical engineering processes. His most recent articles focus on robust optimization of energy systems, metal recovery from electronic waste, and healthcare applications. The research demonstrates expertise in both theoretical development of optimization algorithms and practical implementation in industrial settings. His work bridges the gap between chemical engineering fundamentals and cutting-edge computational techniques, with particular emphasis on interpretable machine learning models for industrial applications.
Professor Dua has received several notable recognitions for his work:
- Venture and Innovation Award from Cystic Fibrosis Trust (2019)
- Patent: Process Control Using Co-ordinate Space (US7433743, 2008)
- Patent: Improved Process Control (European Patent 1399784, 2004)
- Co-editor for Process Systems Engineering books series (7 volumes, 2007)
As an educator, Professor Dua serves as Director of Undergraduate Studies and teaches key courses in computational modeling and process plant design. His academic leadership extends to editorial roles, having served on the Editorial Board for the European Control Conference (2021-2022). His research collaborations span both industry and healthcare sectors, addressing critical challenges in energy optimization and biomedical applications. While specific grant information isn't detailed in the provided text, his research output suggests substantial funding for projects related to optimization under uncertainty, machine learning applications in chemical engineering, and healthcare technology development.
Professor Dua's research group appears to focus on computational methods for process systems engineering, with particular emphasis on making optimization techniques more accessible and applicable to real-world industrial problems. His recent work with collaborators like Ashraf WM suggests an active research team working at the intersection of machine learning and traditional chemical engineering processes.
