Dr. Jussi Rintanen

Aalto University
Department of Computer Science

also: Adjunct Associate Professor, Institute for Integrated and Intelligent Systems, Griffith University, Queensland, Australia


An internationally leading researcher in Artificial Intelligence, especially in constraint-based methods for the planning problem and other combinatorial decision-making and reasoning problems, with over 23 years of research experience in both fundamental and applicative research in artificial intelligence. The goal of Dr. Rintanen's research is automating complex decision-making and improving human performance in high-level cognitive tasks. Applications of Dr Rintanen's research have been found in discrete and hybrid systems control (planning), monitoring, and diagnosis, in applications such as the Smart Grid (intelligent electricity networks) and the construction and management of complex large-scale information systems. A main objective is to understand, automatically, what happens in a complex system (monitoring, diagnosis, state estimation), what could happen (contingency analysis), and what actions to take to avoid problems and to recover from fault situations (planning, control).

Dr Rintanen obtained his PhD degree in Computer Science from the Helsinki University of Technology in 1997, held research and teaching positions at the universities of Ulm and Freiburg between 1997 and 2005, including obtaining the German professor level research and teaching qualifications (Venia Legendi, Habilitation) at the University of Freiburg in 2005, and worked in Australia from January 2006 until September 2012, as a Principal Researcher at National ICT Australia until March 2011 in various roles as a deputy program leader, project leader of multiple projects, and the leader of the Planning and Diagnosis group, and as an Adjunct Associate Professor at the Australian National University (Canberra) and at Griffith University (Brisbane). Further details in CV.

Office hours for Spring 2016: Tuesday and Thursday 9:00-10:30


Internationally recognized expert on Artificial Intelligence, with leading expertise in Wide interests in Artificial Intelligence, impact of AI on society, automation, technology, national security, as well as research management and policy. academic publications by category: planning and heuristics (approximate lower bounds) and SAT; complexity of decision-making and planning; decision-making and planning with incomplete information; diagnosis; all.

planning as satisfiability (software, papers, links) SAT solvers (software, papers, links)

Current/recent university courses

2016 Summer School on Automated Planning and Scheduling, Lecture on Computational Complexity of Planning
ICS-E4000 - Artificial Intelligence
ICS-E5050 - Advanced Course in Boolean Satisfiability


SAT and its extensions (AAAI'14)
Search methods for planning (ECAI'14)
ICAPS Summer School on Planning and Scheduling

Thesis topics

I have several topics for M.Sc. and PhD thesis (but currently no funding to hire anyone.) If you have your own funding (or you are already at Aalto and doing some other degree than PhD), please contact to discuss topics. Some sample topics are listed below, but I am also interested in discussing other topics.

Photos: panoramas, birds