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About Jat
Professor Jatinder Singh holds the position of Professor in the Faculty of Computer Science at Universität Duisburg-Essen, serving as the head of the Accountability of Data Science and Security Systems division. He leads the Compliant and Accountable Systems research group at the Research Center for Trustworthy Data Science and Security (RC-Trust), which is part of the University Alliance Ruhr and located at the Tectrum Duisburg campus. Singh earned his PhD in Computer Science from the University of Cambridge, with a thesis on distributed systems and security, and studied law at the University of Western Australia. Before joining Universität Duisburg-Essen, he was a Research Professor in the Department of Computer Science and Technology at the University of Cambridge, where he taught the Advanced Computer Science MPhil module on Technology, Law, and Society. His earlier career encompasses employment at large and small IT service companies, founding and running a medical IT startup, and delivering consulting services focused on health and judicial applications requiring stringent governance.
Singh's research centers on the intersections of technology, law, and society, with specializations in governance, control, agency, accountability, security, privacy, and trust within emerging and data-driven technologies such as AI, IoT, and cloud systems. Adopting an interdisciplinary socio-technical approach, his group engineers human-centered solutions to ensure technological compliance with legal, regulatory, and digital rights requirements while informing policy with technical insights. Notable publications include 'Twenty security considerations for cloud-supported Internet of Things' (2015, 469 citations), 'The landscape and gaps in open source fairness toolkits' (2021, 227 citations), 'Understanding accountability in algorithmic supply chains' (2023, 178 citations), 'Reviewable automated decision-making: A framework for accountable algorithmic systems' (2021, 178 citations), 'Decision provenance: Harnessing data flow for accountable systems' (2018, 146 citations), and 'Blockchain demystified: a technical and legal introduction to distributed and centralized ledgers' (2018, 140 citations). His contributions have shaped academic discourse on responsible AI, algorithmic accountability, and regulatory frameworks through highly cited works. Singh actively participates in technology-policy discussions, advising governments, regulators, and civil society organizations on accountable systems design.
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