Bradford-Renduchintala Centre for Space AI
The Bradford-Renduchintala Centre for Space is leading on research and innovation in distributed computing, automation and information technologies, exploiting the latest artificial intelligence and embedded technologies for applications to space systems.
Our Research Themes are:
- Earth Observation and Data Science
- Artificial Intelligence
- Distributed Control System
Meet the team
Prof Fun Hu
Inaugural Centre Director/Head of BiomedicalElectronicsEngineering
Prof Raed Abd-Alhameed
Professor in Electronic&Elec Engineering
Raed is a Professor of electromagnetic and radiofrequency engineering, and he has worked at University of Bradford since 1990, and leads the radiofrequency, propagation, sensor design, and signal processing area, in addition to leading the Communications Research Group.
His many years in research has resulted in over 800 publications in academic journals and conferences, five books and several book chapters. He is a principal investigator for several funded applications to EPSRCs and the leader of several successful Knowledge Transfer Programmes, such as with Arris (previously known as Pace plc), Yorkshire Water plc, Harvard Engineering plc, IETG Ltd., Seven Technologies Group, Emkay Ltd., and Two World Ltd. He has also been a co-investigator in several funded research projects including 1) H2020 MARIE Skªodowska-CURIE ACTIONS: Research and Innovation Staff Exchange (RISE): Secure and Wireless Multimodal Biometric Scanning Device for Passenger Verification Targeting Land and Sea Border Control 2) H2020 MARIE Skłodowska-CURIE ACTIONS: Innovative Training Networks Secure Network Coding for Next Generation Mobile Small Cells 5G-US; 3) Nonlinear and demodulation mechanisms in biological tissue (Dept. of Health, Mobile Telecommunications & Health Research Programme; and 4) Assessment of the Potential Direct Effects of Cellular Phones on the Nervous System (EU: collaboration with six other major research organizations across Europe). He was a recipient of the Business Innovation Award for his successful KTP with Pace and Datong companies on the design and implementation of MIMO sensor systems and antenna array design for service localisations.
He is the winner of two University RDF/Publication awards. He chaired several successful workshops on energy-efficient and reconfigurable transceivers: Approach toward Energy Conservation and CO2 Reduction that addresses the biggest challenges for the future wireless systems.
Raed has been a co-editor for Electronics MDPI Journal since June 2019. In addition, he has been a Guest Editor with IET Science, Measurements and Technology Journal since 2009, including Electronics and Internet of Things Journals since 2017. He has been a Research Visitor of Wrexham University, Wales, since 2009, covering the wireless and communications research areas. He is a fellow of the Institution of Engineering and Technology and a fellow of the Higher Education Academy and a Chartered Engineer. Moreover, he has been a senior member of the IEEE since 2013.
Prof Felician Campean
Associate Dean RKT
Felician is a Professor in Automotive Reliability Engineering and Director of the Automotive Research Centre (since 2012). He holds a PhD in Reliability from Brunel University (1998) and a Mechanical / Manufacturing Engineering Degree from Transilvania University (1990). Worked in the bearings industry before joining Academia as a lecturer in manufacturing automation. Has joined University of Bradford in 1998 as a Research Fellow, and progressed to Senior Research Fellow (2000), Senior Lecturer in Competitive Design (2005), and Professor in 2011.
Felician has led the Bradford Engineering Quality Improvement Centre (BEQIC) since 2000; BEQIC is a major hub for collaborative applied research and knowledge transfer in product development, with a focus on quality and reliability engineering. He has led several major programmes of workplace based research and postgraduate development including the MSC by research / MPhil / PhD in Engineering Quality Improvement (partnership with Ford Motor Company) and the MSc in Engineering and Process Excellence (partnership with Jaguar Land Rover - Technical Accreditation Scheme) - underpinned by a programme of research led short courses.
Since 2012 Felician has been leading the Automotive Research Centre, the University's R&KT Hub for collaboration with the Automotive Industry.
In 2016 he has launched together with Professor Daniel Neagu (Computer Science) the Advanced Automotive Analytics Laboratory - in collaboration with Jaguar Land Rover.
Felician has established an extensive track record research and knowledge transfer collaboration with the global automotive industry, including companies like Ford, Jaguar Land Rover, BAE Systemns, Tata Motors, Honda, Cummins Turbo Technologies, Webasto, and Gates Corporation.
Current research interests revolve around modelling complex systems, including model based methods for systems engineering, reliability, robustness and resilience analysis for multi-disciplinary complex systems, big data analytics methods for systems design and lifecycle management, multi-disciplinary design optimization applied to complex systems, modelling complex manufacturing and product development processes.
Major recent research projects have focused on engine and powertrain multidisciplinary modelling and optimisation, automotive model-based systems engineering design based on Failure Mode Avoidance, the use of big data analytics for intelligent personalised powertrain healthcare, model based testing and verification of CPS.
Felician has taken on the role of Associate Dean - Research & Knowledge Transfer in the Faculty of Engineering and Informatics since January 2017.
Dr Amr Rashad Ahmed Abdullatif
Dr. Amr abdullatif is an experienced researcher proﬁcient in research and developing of machine learning and deep learning techniques with a demonstrated history of working in the diﬀerent companies (GE Oil & Gas, Ansaldo, Bombardier, …), and universities (Bradford, PISA, Scuola Superiore Sant'Anna, Genoa, Cairo, AASTMT, …) . His research interests focuses on Artiﬁcial Intelligence techniques applied in Automotive Industry (e.g. prognostics and health management), Oil & Gas Digital Transformation, Computer vision, Natural Language Processing (NLP), Predictive Diagnostic, Health-care, and Online Learning from non-stationary Data Streams. He is currently working as a Lecturer at Bradford university. Formerly was leading machine learning projects at Baker Hughes, a GE company as a research fellow.
Dr Ibrahim Ghafir
Dr Ibrahim Ghafir is a Lecturer in Computer Science at Faculty of Engineering and Informatics, University of Bradford. He received his PhD in Computer Science (Cyber Security) from Manchester Metropolitan University, UK. Ibrahim also has another PhD in Informatics (Computer Systems and Technologies) from Durham University, UK and Masaryk University, Czech Republic (European Doctorate). Prior to joining Bradford, Ibrahim worked as a Research Associate in Cyber Security at Loughborough University, UK from 2017 to 2019. Before Loughborough, he worked with Masaryk University as a Research Assistant from 2013 to 2015.
Dr Ghafir’s current research interests include network security, intrusion detection systems, wireless communication, machine learning and performance optimization. He has been a researcher and publisher in the field of cyber security. Ibrahim has published more than 30 technical journal and conference papers in cyber security. For an updated list of his publications, please see Dr Ibrahim's Google Scholar profile.
Dr Cuong Dao
Lecturer in Mechanical and Energy System
Dr Cuong Dao (BSc '06, MSc '09, & PhD '16) obtained his PhD in Reliability and Maintenance Engineering from the University of Alberta, Canada. Prior to joining Bradford University, he was a Post-Doctoral Research Associate at the Department Engineering, Durham University (2018-2020) and a Postdoc Researcher at the University of Twente, The Netherlands (2016-2018). He also served as a Mechanical Engineer at Canon Vietnam Ltd. (2006-2007) and Reliability Engineer at Enmax Generation Canada (2014-2015).
Dr Cuong Dao research focuses on reliability modelling and maintenance management of mechanical engineering and renewable energy systems. He has rich experience in working with industry and bringing academic research to practice through his current and previous research projects as well as his past role as an engineer. He has involved in several interdisciplinary research projects in offshore wind energy, power system maintenance, asset lifecycle management, AI and reliability-based optimisation of automotive components. He has papers published in Reliability Engineering & System Safety, IEEE Transactions on Reliability, Wind Energy, Journal of Infrastructure Systems, and Journal of Transportation Engineering and is a reviewer for several journals & academic conferences in the field of Mechanical, Reliability, Maintenance, and Renewable Energy Engineering.