Profile
Arnold Beckmann received his PhD and “Habilitation” in Mathematics from University of Münster in Germany. He was a recipient of Leopoldina and Marie-Curie academic fellowships, conducting research at University of Oxford, University of California in San Diego, and Vienna University of Technology. He is Professor of Computer Science at Swansea University, had been Head of Department from 2014-2021, and is now co-leading the Swansea University’s Zienkiewicz Institute for Modelling, Data and AI, co-leading the Grenoble-Swansea Centre for AI, and member of the Wales Data Nation Accelerator.
Arnold’s research interests are in fundamentals of Computer Science, based on Mathematical Logic and Theoretical Computer Science, as well as transferring his expertise to applications. He is associate editor of 3 journals on mathematical logic, and managing editor of the book series Perspectives in Logic. He is on the boards of several scientific associations and leading the formation of The Proof Society. Arnold’s research has been funded from various sources (EPSRC, the Royal Society, German DFG, Austrian FWF, EU Marie-Curie). He is founding member of Swansea Blockchain Lab, involved in several projects that explore the application of blockchain technology to real world problems. He is coI on the EPSRC funded SUSTAIN Manufacturing Hub, co-leading its UK Digital Steel Innovation Hub work packages on applying hybrid AI methods to steel manufacturing supply chains.
Area of Experties
- Mathematical Logic
- Theoretical Computer Science
- Foundations of Digital Ledger Technologies
- Hybrid AI, in particular Semantic Technologie
Projects
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Blockchain technologies for pharmaceutical supply chains
Project Overview Pharmaceutical supply chains involve complex characteristics and intricate data flow processes, including multiple stakeholders. These complexities give rise to numerous challenges concerning data integration and flow. This research proposes to address these challenges by combining two emerging technologies to suggest unique solutions. Based on the findings of our recent survey, it has been…
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Predictive Analytics in Steelmaking
Project Overview Industry 4.0 represents a paradigm shift in manufacturing that leverages technologies such as Internet of Things (IoT), Artificial Intelligence (AI), big data and many others to create smart, automated and interconnected systems. Steelmaking is one example of a domain undergoing transformation. Steelmaking constitutes the many processes that are used to create the strong…
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Hybrid AI for optimisation in industry
Project Overview Hybrid AI for supply chain optimization in Industry 4.0 Supply chains (SC) are increasingly challenged by uncertainty and risks in this high-tech era. In this context, to effectively identify and mitigate SC-related risks, data, information, and knowledge from different sources must be smartly exploited. This research project focuses on optimizing supply chains through…
Specialist Areas
Events
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Registration open for event with Hartree Centre
“Extreme Scaling Computing and Emerging Computational Approaches in Science and Engineering” Find further programme details here Venue: Y Twyni, Room 105 (Bay Campus) Registration Deadline: Wed 18th September Register here The main purpose of the workshop is to scope future collaborations between Swansea and the Hartree Centre. Subjects covered include Artificial Intelligence, Automotive, Transport and Logistics, Computational Chemistry,…