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Patrick Doherty

Head of the Artificial Intelligence and Integrated Computer Systems Division at IDA. 

Patrick Doherty is a Professor and currently leads the Artificial Intelligence and Integrated Computer Systems Division at the Department of Computer and Information Science, Linköping University.

He has over 30 years experience in the area of Artificial Intelligence and Autonomous Systems and is Editor-in-Chief of the Artificial Intelligence Journal and a EURAI (ECCAI) fellow (European AI Association).

He has over 185 refereed publications in diverse areas of AI and Autonomous Systems. His main areas of interest are knowledge representation, automated planning, intelligent autonomous systems, collaborative systems and multi-agent systems. A major area of application is with unmanned aircraft systems and their use in emergency rescue in addition to disaster and crisis informatics.

His research group has successfully designed and deployed many autonomous UAV systems and won a number of international competitions pertaining to UAVs and to automated planning. He has also given many keynote and invited talks at leading international conferences such as IJCAI, KR and ECAI.

He is currently a CEO of a start-up company, UAS Technologies Sweden AB, that focuses on AI, autonomy and UAV technologies. His work with UAVs focuses on ”high” autonomy rather than traditional control.

Publications

2025

Patrick Doherty, Andrzej Szalas (2025) Techniques for measuring the inferential strength of forgetting policies Journal of logic and computation (Print), Vol. 35, Article exaf023 (Article in journal) Continue to DOI
Piotr Rudol, Mariusz Wzorek, Patrick Doherty (2025) Fusing Object Detections to Obtain Geolocated Salient Points Using Aerial Images Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2024. Lecture Notes in Computer Science. Springer Nature Singapore, p. 155-166 (Conference paper) Continue to DOI
Mariusz Wzorek, Cyrille Berger, Piotr Rudol, Patrick Doherty, Alexandre R. de Mello, Murilo M. Ozol, Bo Granbom (2025) An Autonomous Search System for Maritime Applications Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2024. Lecture Notes in Computer Science. Springer Nature Singapore, p. 360-372 (Conference paper) Continue to DOI

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