Wastewater Treatment by Reverse Osmosis Process

Mudhar Al-Obaidi is a Lecturer in Computing at the Middle Technical University, Iraq. He obtained his BSc and MSc degrees in Chemical Engineering from the University of Baghdad in Iraq in 1993 and 1997 respectively. He is currently writing up his PhD thesis in Chemical Engineering at the University of Bradford in the UK. He has contributed to five peer-reviewed journal papers in Iraq in water and wastewater quality research before starting his PhD research at Bradford in 2014. Since then, he has focused his research on developing a reliable reverse osmosis process for the removal of organic pollutants from wastewater and food processing. This research includes the development of new mathematical models corroborated by complex simulation and optimisation methods, which have resulted in over 12 peer-reviewed journal papers and conference presentations. Mudhar Al-Obaidi had also contributed a chapter in the book The Water-Food-Energy Nexus: Processes, Technologies and Challenges, titled 'Model Based Techniques in Desalination: A Review', published by CRC Press, 2018. Most recently, he has been awarded two prizes for his quality publications in the first conference of the Faculty of Engineering and Informatics Annual Innovative Engineering Research Conference 2017 at the University of Bradford, UK.

Chakib Kara-Zaitri is a Senior Lecturer in Risk and Reliability in the Chemical Engineering Division of the School of Engineering, Faculty of Engineering and Informatics at the University of Bradford (UK). He obtained his BEng in Electrical and Electronic Engineering and PhD in Probabilistic Risk Assessment from the University of Bradford in 1983 and 1994 respectively. He has 30 years lecturing and research experience. His research interests are around the development of software systems for optimised reliability, risk, safety and maintenance engineering. His work over the last few years has focused on the development, optimisation and validation of mathematical models for faster, better and cheaper methods for removing harmful compounds from seawater and brackish water using spiral-wound reverse osmosis processes. He has published more than 36 technical papers and has delivered more than 40 conference papers around the world. He has supervised 12 PhD students to completion and is currently supervising 4 PhD students.

Iqbal M. Mujtaba is Professor of Computational Process Engineering in the Chemical Engineering Division of the School of Engineering at the Faculty of Engineering and Informatics at the University of Bradford (UK). He obtained his BSc and MSc degrees in Chemical Engineering from Bangladesh University of Engineering & Technology (BUET) in 1983 and 1984 respectively, and obtained his PhD from Imperial College London in 1989. He is a Fellow of the IChemE, a Chartered Chemical Engineer, and the current Chair of the IChemE's Computer Aided Process Engineering Subject Group. He was the Chair of the European Committee for Computers in Chemical Engineering Education from 2010-2013.

Professor Mujtaba leads research into dynamic modelling, simulation, optimisation and control of batch and continuous chemical processes with specific interests in distillation, industrial reactors, refinery processes, desalination, wastewater treatment and crude oil hydrotreating focusing on energy and water. He has managed several research collaborations and consultancy projects with industry and academic institutions in the UK, Italy, Hungary, Malaysia, Thailand, China, Iraq, Qatar, India, Bahrain and Saudi Arabia. He has published more than 260 technical papers and has delivered more than 60 invited lectures/seminars/short courses around the world. He has supervised 26 PhD students to completion and is currently supervising 8 PhD students. He is the author of a book entitled Batch Distillation: Design & Operation, written based on his 18 years of research in batch distillation and published by the Imperial College Press, London in 2004. Professor Mujtaba also edited books such as Application of Neural Network and Other Learning Technologies in Process Engineering, Imperial College Press, London, 2001; Composite Materials Technology: Neural Network Applications, CRC Press, USA, 2009; and The Water-Food-Energy Nexus: Processes, Technologies and Challenges, CRC Press, USA, 2018.