Jennifer Renoux

Jennifer Renoux


AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T2246
Phone +46 (0)19 30 37 93

Google Scholar

Jennifer Renoux is a researcher in Artificial Intelligence at the Centre for Applied Autonomous Sensor Systems (AASS) . Her research focuses on communication in human-machine teams, epistemic and multi-agent planning .


Jennifer received her Ph.D. in Artificial Intelligence and Application in 2015 from the University of Caen Normandy (France) with a research topic of planning for information gathering in multi-agent systems. Her research focused on how a team of artificial agents could coordinate online in order to gather information in an uncertain and dynamic environment. She developed an agent-based relevance degree to quantify how relevant a given piece of information is for a given agent, and incorporate it in a Theory-of-Mind based model to allow online coordination. She has since broadened her research interests to communication in multi-agent teams, and specifically mixed human-machine teams. She is trying to understand how communication impacts the performance of mixed human-machine teams, and how it can be used to create efficient , comfortable , and trustworthy interactions between humans and artificial systems.

Teaching & Science Popularization

Jennifer is involved in various teaching activities, with a focus on Software Engineering for both the Högskoleingenjö r and Civilingenjör programs. She is also co-responsible for the SMARTER course on AI & Ethics for Engineers.

Besides her work as a researcher and a teacher, Jennifer is strongly involved in the popularization of her research field, and of Science in general. She is involved in various activities on various media, such as blog posts, podcasts, exhibitions, presentations in schools...


[1] J. Renoux, T. S. Veiga, P. U. Lima and M. T. J. Spaan. A Unified Decision-Theoretic Model for Information Gathering and Communication Planning. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pages 67-74, 2020BibTeX | DiVA | PDF ]
[2] J. Renoux, M. Luperto, N. Basilico, M. Romeo, M. Milis, F. Lunardini, S. Ferrante, A. Loutfi and N. A. Borghese. A Virtual Caregiver for Assisted Daily Living of Pre-Frail Users. In KI 2020: Advances in Artificial Intelligence : 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020, Proceedings, pages 176-189, 2020BibTeX | DiVA | PDF ]
[3] U. Köckemann, M. Alirezaie, J. Renoux, N. Tsiftes, M. U. Ahmed, D. Morberg, M. Lindén and A. Loutfi. Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes. Sensors, 20(3), 2020BibTeX | DiVA | PDF ]
[4] F. Lunardini, M. Luperto, M. Romeo, J. Renoux, N. Basilico, A. Krpič, N. A. Borghese and S. Ferrante. The MOVECARE project : Home-based monitoring of frailty. In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) : Proceedings 2019BibTeX | DiVA ]
[5] J. Renoux, U. Köckemann and A. Loutfi. Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning. In Ambient Intelligence, 11249(11249):74-89, 2018BibTeX | DiVA ]
[6] A. Vuono, M. Luperto, J. Banfi, N. Basilico, N. A. Borghese, M. Sioutis, J. Renoux and A. Loutfi. Seeking Prevention of Cognitive Decline in Elders via Activity Suggestion by A Virtual Caregiver. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18), pages 1835-1837, 2018BibTeX | DiVA ]
[7] J. Renoux and F. Klügl. Simulating Daily Activities in a Smart Home for Data Generation. In 2018 Winter Simulation Conference (WSC), pages 798-809, 2018BibTeX | DiVA ]
[8] J. Renoux. Active Situation Reporting : Definition and Analysis. 2017BibTeX | DiVA ]
[9] M. Alirezaie, J. Renoux, U. Köckemann, A. Kristoffersson, L. Karlsson, E. Blomqvist, N. Tsiftes, T. Voigt and A. Loutfi. An Ontology-based Context-aware System for Smart Homes : E-care@home. Sensors, 17(7), 2017BibTeX | DiVA | PDF ]
[10] J. Renoux, M. Alirezaie, L. Karlsson, U. Köckemann, F. Pecora and A. Loutfi. Context Recognition in Multiple Occupants Situations : Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. In Knowledge-based techniques for problem solving and reasoning(KnowProS 2017) : A workshop at AAAI 2017, February 5, 2017, San Francisco, U.S.A., ws17:758-764, 2017BibTeX | DiVA | PDF ]
[11] J. Renoux, A. I. Mouaddib and S. L. Gloannec. A decision-theoretic planning approach for multi-robot exploration and event search. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015BibTeX | DiVA ]
[12] J. Renoux. Contribution to multiagent planning for active information gathering. Ph.D. Thesis, 2015BibTeX | DiVA ]
[13] J. Renoux, A. I. Mouaddib and S. LeGloannec. Method For Obtaining A System For Active, Decentralized Multi-agent Situation Control. 2015BibTeX | DiVA ]
[14] J. Renoux, A. I. Mouaddib and S. LeGloannec. Distributed Decision-Theoretic Active Perception for Multi-robot Active Information Gathering. In Modeling Decisions for Artificial Intelligence : 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014: Proceedings, 8825(8825):60-71, 2014BibTeX | DiVA ]