Professor Iqbal M Mujtaba
Professor of Computational Process Engineering
Advanced Systems Engineering Optimisation
Iqbal Mohammed Mujtaba is a Professor of Computational Process Engineering. He is a Fellow of the IChemE, a Chartered Chemical Engineer, Chartered Scientist and is currently an executive member of the IChemE's Computer Aided Process Engineering Subject Group and is the Chair of the European Committee for Computers in Chemical Engineering Education.
Professor Mujtaba is actively involved in many research areas like: dynamic modelling, simulation, optimisation and control of batch and continuous chemical processes with specific interests in distillation, industrial reactors, refinery processes and desalination. He has published more than 150 technical papers in major Engineering Journals, International Conference Proceedings and Books. Professor Mujtaba has supervised 16 PhD since 1997 and is currently supervising 7 PhD projects.
He is a co-editor of the book 'Application of Neural Networks and Other Learning Technologies in Process Engineering' published by the Imperial College Press, London in 2001(http://www.icpress.co.uk/books/compsci/p225.html).
He is the author of the book 'Batch Distillation: Design & Operation' published by the Imperial College Press, London in 2004 (http://www.icpress.co.uk/books/engineering/p319.html).
He is also a co-editor of the book ‘Composite Materials Technology’ published by CRC Press, in 2009.
He has several ongoing research collaborations and consultations with industries and academic institutions in the UK, Italy, Hungary, Saudi Arabia, Malaysia and Thailand.
Professor Mujtaba obtained his BSc in 1983 and MSc in 1984 all in Chemical Engineering. He studied at Imperial College, London with the Commonwealth Scholarship and received his PhD and DIC in 1989.
Professor Mujtaba worked as a Research Fellow at the Centre for Process Systems Engineering, Imperial College, London from 1990-1994. He joined University of Bradford as a lecturer in Chemical Engineering in 1995.
PhD Research Opportunities in Chemical Engineering (University of Bradford, UK)
Dynamic Process Modelling, Simulation, Optimisation and Control of Processes such as Desalination, Distillation, Reactors, Hydrotreating and Refinery
Current, and significant recent, funded projects:
1. Green Electricity from Domestic Waste
2. Whole Crude Oil Hydrotreating
3. RO and MSF based Desalination Process under Fouling
International Scientific Activities:
Recent PhD Research Students:
4. H. Khalfalla, PhD, 2009, Modelling and optimisation of oxidative desulphurisation process for mosdel sulphur compunds and heavy gas oil
5. E. Edreder, PhD, 2010, Modelling and optimisation of batch distillation involving esterification and hydrolysis reaction systems.
Group Leader: Professor I.M. Mujtaba
Mechanical & Process Engineering (MPE) Research Group focuses on fundamental and applied research in the area of Mechanical, Chemical and Process Engineering. Academic staff in this research group is organized into sub-research groups that reflect their specific areas of research interest and activity. The members work collaboratively with colleagues across the sub-groups, the school and the University. At the applied level research the group (and sub-groups) works closely with industrial partners. Expertise in the group informs teaching for the different taught programmes where the students are taught in a research-led environment.
Automotive and Competitive Design
Automotive and Competitive Design
The group works closely with industry on a range of projects including competitive development of many complex devices, such as turbochargers, active filtration systems and control devices that are used in modern high-tech production.
Chemical & Process Engineering
Computer Aided Process Engineering is a leading-edge research topic in chemical engineering. We strongly encourage national and international collaboration on short and long term projects on the development and use of computational tools in all aspects of process engineering activities. Our current research focuses on modelling, optimisation & control of processes such as desalination, refinery (hydrotreating &, heat exchanger network), distillation, chemical reactor, solvent extraction, and polymerisation.
Dynamics and Control
Dynamics and control of powertrains and drivelines of mechatronic systems with specialization in mathematical modelling, identification and validation using short distance telemetry and condition monitoring for energy recovery. Current activities include: Turbocharger blade tip timing, powertrain testing and calibration, model based electric vehicle control.
Manufacturing & Materials
Manufacturing and Materials group is researching into the broad system’s aspect of manufacturing: strategy, planning, control, maintenance, supply chain, process improvement and scheduling through the use of AI tools (Knowledge-Based systems, Expert Systems, Artificial Neural Networks and Genetic Algorithms), with particular emphasis in the automotive manufacturing environment. The materials aspect of the research group focuses on powder metallurgy processing of ferrous-based materials with specific interests in optimising material compositions to enhance processibility, microstructure and end-use properties.
Risk and Reliability Modelling
This research sub-group explores new methods for modeling complex risk and reliability applications in large installations in the Nuclear, Military and Aerospace industries. New models are being developed to determine Minimal Cut Sets of complex Fault Trees and extended further to handle advanced Markov Modeling with particular application to Protective Systems - to properly account for different failure, repair and testing regimes. The research has already yielded a hardware-oriented solution (as opposed to software-oriented solution), using Application Specific Integrated Circuits (ASIC) and Programmable Logic Device (PLD) simulation software to store and analyse the failure logic of large and complex systems.
Advanced Engineering Systems Optimisation
The aim of this group is to improve the design process and designed products by effectively exploiting the combination of computational modelling and optimisation algorithms and tools to support and enhance the creativity and decision-making of engineering designers.