Academics
Andy's main research focus has been on the lifecycle engineering of intelligent, distributed, component-based manufacturing control, monitoring & next generation intelligent manufacturing systems
Professor of Manufacturing Processes Director, EPSRC Centre for Doctoral Training in Embedded Intelligence.
Tom's research areas are Electronic Communication and Information Retrieval, and Applied and Theory based Knowledge Management, including his Natural Language Processing Email Knowledge Extraction system (EKE)
Will's current research interests include antennas; electromagnetics materials; inkjet printed antennas; RFID tags; wearable antennas and 3D-printing
Lisa's research has focused on multi-objective optimisation applied to safety system design, fault diagnostic methods, enhancements in reliability assessment, and optimisation technique
Carmen’s research interest is in the manufacture of porous materials whose internal architecture can be tailored to meet specific requirements(i.e.structural and bio-mimetic materials)
Diana's research interests span the fields of artificial intelligence, decision making, materials, sensors and modelling & simulation
Novel substrate manufacture, Flip-chip assembly, Fluxless soldering, Metallisation of substrates, Polymer encapsulation
Radmehr's research focus is manufacturing automation, virtual engineering, production control and monitoring, and business analysis and simulation.
Meh's research is in the development of data and knowledge-driven models and methods to support through-life engineering of Product-Service Systems and advanced manufacturing
Ian's research is in generative computer aided design, additive manufacturing for heritage restoration, and decision making within remanufacturing service systems
Pedro's research interests are driven by the vision of making intelligent, interconnected and self-adaptable systems which can integrate seamlessly in production environments.
Sarogini's research expertise is in intelligent and semantic service architectures, wireless and ad hoc network performance improvement and legal compliance for the IoT and manufacturing.
Chris’s research focusses on knowledge based systems and data mining, evolving the input spaces to basic data mining systems showing improvements to both accuracy and conciseness of representation
Bob is a recognized international expert in the area of Manufacturing Enterprise Interoperability and retains an active role in the International Virtual Laboratory for Enterprise Interoperability (INTEROP-VLab)
Research Associates
Paul's research has included modelling and simulation for Industrie 4.0, data analysis of RFID traceability systems and energy monitoring of industrial processes
James has experience in designing RFID tags to work on a variety of different surfaces including the human body
Kate's interests include human augmentation, user centered design, selection of appropriate support for end users, visualisation & interaction evaluation
PhDs
Joel's research involves the design and manufacture of an adaptive, personalised and smart next gen ebike with IoT and smart cities integration
Lorenzo’s research focuses on Embedded Intelligent Systems, bridging the gap between cyber and physical systems, on human-machine interaction and machine-environment interaction, applied analytics, machine learning and artificial intelligence to the world of lightweight electric vehicles
Ryan's research involves the design and evaluation of predictive maintenance simulations
Hazel’s research interests are in simulations, digital twins and the processes involved in creating digital models
Maren is part of the Centre for Doctoral Training in Embedded Intelligence. Ford Motor Company is the industry sponsor of her PhD. Her PhD focusses on the simulation of last mile delivery and on the development of a next generation eBike.
Steven's research has included development of indoor localisation services for Industrie 4.0, including the development of a web service framework and application. His key data analysis avenues are IMU signal processing for traceability, feature extraction for activity detection and system energy monitoring of industrial processes.
Address
Wolfson School of Mechanical, Electrical and Manufacturing Engineering
Loughborough University
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