Jendrik Seipp

Biträdande universitetslektor, Docent

Mina huvudsakliga forskningsintressen är automatiserad planering och dess kopplingar till maskininlärning.

Biträdande universitetslektor i artificiell intelligens

Mina huvudsakliga forskningsintressen är automatiserad planering och dess kopplingar till maskininlärning.

Jag är biträdande professor i artificiell intelligens vid Institutionen för datavetenskap. Tillsammans med Hector Geffner och Ulf Nilsson leder jag labbet "Representation, Learning and Planning" inom avdelningen Artificiell intelligens och integrerade datorsystem (AIICS).

Kortfattat CV (på engelska)

Short bio

I received my MSc in computer science from the University of Freiburg, Germany, in December 2012. In March 2018, I completed my PhD under the supervision of Professor Malte Helmert with the Artificial Intelligence group at the University of Basel, Switzerland. Afterwards, I stayed on as a postdoc until I became assistant professor at Linköping University, Sweden, in January 2021.

Education and Academic Degrees

Docent in Computer Science, Linköping University, Sweden. September 2022.
Ph.D. degree from University of Basel, Switzerland. February 2018.
M.Sc. in Computer Science from University of Freiburg, Germany. December 2012.
B.Sc. in computer science from University of Freiburg, Germany. September 2009.

Software

Planning system: Fast Downward
Optimal classical planner: Scorpion
Experiment framework: Downward Lab

Tutorials

ICAPS 2020 tutorial Evaluating Planners with Downward Lab
ICAPS 2015 tutorial Latest Trends in Abstraction Heuristics for Classical Planning

Awards

4x First Place, 3x Second Place, 1x Third Place (in nine tracks) at the First CoRe Challenge at the ICALP 2022 Workshop on Combinatorial Reconfiguration, Paris, for the system PARIS: Planning Algorithms for Reconfiguring Independent Sets
Second Place, System Demonstrations Track at the 32th International Conference on Automated Planning and Scheduling (ICAPS 2022) at the 32th International Conference on Automated Planning and Scheduling (ICAPS 2022) for the system Planutils: Bringing Planning to the Masses
IJCAI 2021 Distinguished Paper Award at the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) for the paper Learning Generalized Unsolvability Heuristics for Classical Planning
ICAPS 2020 Best Dissertation Award at the 30th International Conference on Automated Planning and Scheduling (ICAPS 2020) for the doctoral thesis Counterexample-guided Cartesian Abstraction Refinement and Saturated Cost Partitioning for Optimal Classical Planning
SoCS 2020 Best Paper Award at the 13th International Symposium on Combinatorial Search (SoCS 2020) for the paper An Atom-Centric Perspective on Stubborn Sets
Winner, Deterministic Sequential Satisficing Track at the 9th International Planning Competition (IPC 2018) at ICAPS 2018 for the planning system Fast Downward Stone Soup 2018
Winner, Deterministic Sequential Cost-Bounded Track at the 9th International Planning Competition (IPC 2018) at ICAPS 2018 for the planning system Fast Downward Stone Soup 2018

SoCS 2017 Best Student Paper Award at the 10th Annual Symposium on Combinatorial Search (SoCS 2017) for the paper Better Orders for Saturated Cost Partitioning in Optimal Classical Planning
Winner, Unsolvability IPC 2016 at the 1st Unsolvability International Planning Competition (UIPC 2016) at ICAPS 2016 for the planning system Fast Downward Aidos
AAAI 2015 Outstanding Paper Award at the 29th AAAI Conference on Artificial Intelligence (AAAI 2015) for the paper From Non-Negative to General Operator Cost Partitioning
Runner-Up and "Best Learner" Award, Learning Track at the 8th International Planning Competition (IPC 2014) at ICAPS 2014 for the planning system Fast Downward Cedalion
Third Place and "Best Basic Solver" Award, Learning Track at the 8th International Planning Competition (IPC 2014) at ICAPS 2014 for the planning system Fast Downward SMAC
Winner, Deterministic Sequential Optimization Track at the 7th International Planning Competition (IPC 2011) at ICAPS 2011 for the planning system Fast Downward Stone Soup-1
Runner-Up, Deterministic Sequential Satisficing Track at the 7th International Planning Competition (IPC 2011) at ICAPS 2011 for the planning system Fast Downward Stone Soup
Runner-Up, Learning Track at the 7th International Planning Competition (IPC 2011) at ICAPS 2011 for the planning system Fast Downward Autotune-speed

Publikationer

2023

2022

Nyheter

Lösning som går att förklara gav LiU-forskare AI-pris

Två AI-forskare vid Linköpings universitet har tillsammans med en forskare i Barcelona vunnit det prestigefyllda AI-priset ”IJCAI Distinguished Paper Award”.

Om avdelningen

Robothunden Spot överlämnar en första hjälpen väska till en knäböjande man

Artificiell intelligens och integrerade datorsystem (AIICS)

Verksamheten vid avdelningen AIICS, Institutionen för datavetenskap, är fokuserad på forskning och undervisning inom artificiell intelligens, dess teoretiska grunder och dess tillämpningar.

Kollegor vid AIICS

William Ahlberg

Forskningsingenjör

Nisa Andersson

Tekniker

Olov Andersson

Postdoktor

Mohsen Asgari

Doktorand

Cyrille Berger

Universitetslektor

David Bergström

Doktorand

Marcel Bollmann

Universitetslektor

Christer Bäckström

Universitetslektor, Docent

Peter Dalenius

Universitetsadjunkt

Patrick Doherty

Professor

Ehsan Doostmohammadi

Doktorand

Dominik Drexler

Doktorand

Leif Eriksson

Doktorand

Hoda Fakharzadehjahromy

Doktorand

Johannes Klaus Fichte

Universitetslektor

Martin Forsberg

Amanuens

Markus Fritzsche

Doktorand

Martin Funkquist

Doktorand

Hector Geffner

Gästprofessor

Daniel Gnad

Biträdande universitetslektor

Julia Hannu

Forskningsingenjör

Arash Haratian

Amanuens

Fredrik Heintz

Professor, Avdelningschef, Enhetschef

Oskar Holmström

Doktorand

Paul Höft

Doktorand

Peter Jonsson

Professor, Enhetschef

Lowe Kozak Åslöv

Amanuens

Marco Kuhlmann

Proprefekt, Professor, Enhetschef

Jenny Kunz

Doktorand

Jonas Kvarnström

Universitetslektor, Docent

Lars Johan Källström

Victor Lagerkvist

Universitetslektor, Docent

Katerina Linden

Postdoktor

Dennis Malmgren

Linda Mannila

Adjungerad universitetslektor

Farid Musayev

Doktorand

Mikael Nilsson

Ulf Nilsson

Professor emeritus

George Osipov

Doktorand

Tommy Persson

Forskningsingenjör

Fredrik Präntare

Doktorand

Fawad Qayum

Koordinator

Piotr Rudol

Forskningsingenjör

Erik Sandewall

Professor emeritus

Md Fahim Sikder

Doktorand

Mika Skjelnes

Doktorand

David Speck

Postdoktor

Akshath Srinivas

Amanuens

Simon Ståhlberg

Förste forskningsingenjör

Andrzej Szalas

Professor emeritus

Mattias Tiger

Postdoktor

Olle Torstensson

Doktorand

Emil Wiman

Doktorand

Mariusz Wzorek

Forskningsingenjör

Daniel de Leng

Postdoktor

Om institutionen

Institutionen för datavetenskap (IDA)

En av de största datavetenskapliga institutionerna i norra Europa med forskning och utbildning inom AI, människa-datorinteraktion, programvaruteknik och datorsystem, och data science. Verksamheten är inriktad mot både teknisk och filosofisk fakultet.

Jendrik Seipp

Biträdande universitetslektor i artificiell intelligens

Kortfattat CV (på engelska)

Short bio

Education and Academic Degrees

Software

Tutorials

Awards

Publikationer

2023

2022

Nyheter

Lösning som går att förklara gav LiU-forskare AI-pris

Om avdelningen

Artificiell intelligens och integrerade datorsystem (AIICS)

Kollegor vid AIICS

Om institutionen

Institutionen för datavetenskap (IDA)

Taggar

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