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Patrick Doherty

Professor, Head of Unit

Head of the unit Artificial Intelligence (AILAB)

AI and Autonomous Systems

Patrick Doherty is head of the unit Artificial Intelligence (AILAB), formerly known as the Knowledge Processing Laboratory (KPLAB), at the division Artificial Intelligence and Integrated Computer Systems. 

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 200 refereed publications with over 6000 citations (Google scholar) 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.

Short facts about Patrick Doherty

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 given many keynote and invited talks at leading international conferences such as IJCAI, KR and ECAI.

He is a member of

  • The Unmanned Aircraft Systems Technology Laboratory (UASTECH)

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

2024

Cyrille Berger, Patrick Doherty, Piotr Rudol, Mariusz Wzorek (2024) A Summary of the RGS⊕: an RDF Graph Synchronization System for Collaborative Robotics
Cyrille Berger, Patrick Doherty, Piotr Rudol, Mariusz Wzorek (2024) Leveraging active queries in collaborative robotic mission planning INTELLIGENCE & ROBOTICS, Vol. 4, p. 87-106 (Article in journal) Continue to DOI

Research

robot dog Spot, drone, small helicopter, operator

WASP at Department of Computer and Information Science (IDA)

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

News

Yellow quadruped drops first aid kit infront of injured person.

Collaboration the key to realising the potential of AI

In the near future, it is probable that autonomous drones and quadruped robots will perform rescue operations. But we are currently far from achieving full autonomy. Consequently, well-functioning collaboration between human and machine is crucial.
Olov Andersson demonstrates his research

AI helping robots to make safe real-time decisions

If robots are to move among people in everyday life, they must be able to make decisions in real time, without human help. WASP doctoral student Olov Andersson describes in his thesis investigations into three different methods of learning.
Olov Andersson

A robot politely gets out of the way

We are far from being able to coexist with flying robots in our urban landscapes, but one of the demonstrations this year within the WASP arena for public safety was a drone that politely gets out of the way when a person walks towards it.

About the division

The robotdog Spot hands over a first aid kit to a kneeling man

Artificial Intelligence and Integrated Computer Systems (AIICS)

The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.

Colleagues at AIICS

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Tohid Ardeshiri
Senior Research Coordinator
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Mohsen Asgari
PhD student
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David Bergström
PhD student
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Marcel Bollmann
Associate Professor
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Lukas Borggren
Placeholder for missing image of Andreas Bueff
Andreas Bueff
Postdoc
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Magnus Bång
Senior Associate Professor
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Sanjay Chakraborty
Postdoc
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Peter Dalenius
Lecturer
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Ibrahim Delibasoglu
Postdoc
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Ehsan Doostmohammadi
PhD student
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Dominik Drexler
Postdoc
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Leif Eriksson
PhD student
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Josef Fagerström
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Hoda Fakharzadehjahromy
PhD student
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Johannes Klaus Fichte
Associate Professor
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Martin Forsberg
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Markus Fritzsche
PhD student
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Martin Funkquist
PhD student
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Elliot Gestrin
PhD student
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Kevin Glocker
PhD student
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Daniel Gnad
Assistant Professor
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Christian Gustavsson
PhD student
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Hugo-Henrik Hachem
Postdoc
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Arash Haratian
PhD student
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Fredrik Heintz
Professor, Head of Division, Head of Unit
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Oskar Holmström
PhD student
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Paul Höft
PhD student
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Oliver Harold Joergensen
PhD student
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Mikael Johansson
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Peter Jonsson
Professor, Head of Unit
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Marco Kuhlmann
Deputy Head of Department, Professor, Head of Unit
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Kätriin Kukk
PhD student
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Jenny Kunz
Postdoc
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Jonas Kvarnström
Associate Professor, Docent
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Victor Lagerkvist
Senior Associate Professor
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Arnaud Lequen
Postdoc
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Kristina Levina
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Katerina Linden
Postdoc
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Marcus Lång
PhD student
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Mohamed Maizia
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Dennis Malmgren
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Linda Mannila
Senior Associate Visiting Professor
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Damien Van Meerbeeck
PhD student
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Farid Musayev
PhD student
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Mikael Nilsson
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Ulf Nilsson
Professor Emeritus
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Romina Oji
PhD student
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George Osipov
Postdoc
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Tommy Persson
Research Engineer
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Windy Phung
PhD student
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Piotr Rudol
Research Engineer
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Jendrik Seipp
Senior Associate Professor, Head of Unit
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Md Fahim Sikder
PhD student
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Mika Skjelnes
PhD student
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Amath Sow
PhD student
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Andrzej Szalas
Professor Emeritus
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Gustaf Söderholm
PhD student
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Mattias Tiger
Postdoc
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Olle Torstensson
PhD student
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Diana Unander
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Jorke de Vlas
PhD student
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Emil Wiman
PhD student
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Mariusz Wzorek
Assistant Professor

About the department

Image of Building E, Campus Valla.

Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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