Nawal Benabbou:
I am an assistant professor at Sorbonne Université in Paris, working in the DECISION team of the LIP6 laboratory of computer science. Before that, I was a postdoctoral research fellow at NUS University in Singapore, School of Computing, hosted by Dr. Yair Zick. Prior to that, I was a PhD student under the supervision of Professor Patrice Perny at Sorbonne Université (LIP6) in Paris.
Email: nawal.benabbou@lip6.fr
Address: boîte courrier 169, couloir 26-00, étage 4, bureau 422, 4 place Jussieu, 75005 Paris, France.
Research interests:
algorithmic decision theory,
artificial intelligence,
multicriteria decision making,
multiobjective combinatorial optimization,
decision making under uncertainty/risk,
computational social choice,
preference elicitation,
fair allocation,
voting.
Awards and Honors:
2021-2025: Holder of the "Prime d'Investissement Unique" (PIU).
2018: Artificial Intelligence Dissertation Award, Association Française pour l'Intelligence Artificielle (AFIA), France.
2017: AIJ/IJCAI Travel Award, International Joint Conference on Artificial Intelligence, Melbourne.
2016: ECCAI/EurAi Travel Award, European Conference on Artificial Intelligence, The Hague.
2014: ECAI'14 Best Student Paper Award [FILE].
2013: Diploma of Excellence in Computer Science (summa cum laude), Sorbonne Université, Paris, France.
Education:
2013-2017: PhD student in Preference Elicitation & Multiobjective Optimization (see my PhD thesis), under the supervision of prof. Patrice Perny. Sorbonne Université, Paris, France.
Patrice PERNY (Thesis Advisor), Sorbonne University
Jérôme LANG (Rapporteur), Paris-Dauphine University
Marc PIRLOT (Rapporteur), University of Mons
Clarisse DHAENENS (Examiner), Lille 1 University
Nicolas MAUDET (Examiner), Sorbonne University
Vincent MOUSSEAU (Examiner), CentraleSupélec
Daniel VANDERPOOTEN (Examiner), Paris-Dauphine University
2011-2013: Master's degree in Artificial Intelligence & Decision Making (summa cum laude). Sorbonne Université, Paris, France.
2008-2011: Bachelor’s degree in Applied Mathematics & Computer Science. Sorbonne Université, Paris, France.
Academic Activities:
2018-present: Assistant professor, Sorbonne Université, Paris, France.
2017-2018: Postdoctoral research fellow, National University of Singapore (NUS), Singapore.
2016-2017: Temporary teaching and research assistant, Sorbonne Université, Paris, France.
Senior PC member: IJCAI (2021).
PC member: IJCAI (2018, 2019, 2020), AAAI (2019, 2020, 2021), AAMAS (2019, 2020, 2021), ECAI (2018, 2020), UAI (2021), COMSOC (2018), CoopMAS (2017), FAMAS (2019), GAIW (2020, 2021).
Reviewer: EJOR, AGNT, MCDA, 4OR, IJITDM.
Teaching Responsibilities:
2021-present: Responsible for the course "IT projects" (~30 bachelor students, ~12 professors), Sorbonne Université, Paris, France.
2020-present: Responsible for the course "Data Structures" (~300 bachelor students, , ~20 instructors), Sorbonne Université, Paris, France.
2019-present: Co-responsible of the Bachelor’s degree in Mathematics and Computer Science called PIMA, Sorbonne Université, Paris, France.
2019-present: Lecturer for the course "Artificial Intelligence and Games" (~120 bachelor students, ~6 instructors), Sorbonne Université, Paris, France.
PhD students:
Nathanaël Gross Humbert (2020-present): Group Fairness and Diversity Constraints.
Cassandre Leroy (2019-present): Preference Elicitation for Multi-Objective Combinatorial Optimization.
Master students:
Nesrine Benamor (Feb-Aug 2020)
Nathanaël Gross Humbert (Feb-Aug 2020)
Cassandre Leroy (Feb-Aug 2019)
Projects:
ANR Project THEMIS (2021-2025): THeory and Evidence to Measure Influence in Social structures.
FSI Starting Grant (2020-2021): Group Fairness, Diversity Constraints and Preference Elicitation.
CNRS International Emerging Action INDICOD (2020): INteractive DEcision-making for COmplex Domain.
LIP6 Project (2020): Group Fairness in Allocation Problems.
Gaspard Monge Project (2019-2021): Interactive Methods and Preference Elicitation for Solving Hard Multiobjective Combinatorial Optimization Problems.
RFSI Project APERO2 (2019-2021): Apprentissage interactif des PreférencEs pour la Résolution de problèmes d'Optimisation combinatoire multi-critères.
RFSI Project APERO (2018-2019): Apprentissage interactif des PreférencEs pour la Résolution de problèmes d'Optimisation combinatoire multi-critères.
ANR Project COCORICO (2014-2019): Computation, Communication, Rationality and Incentives in Collective and Cooperative Decision Making.
ANR Project ELICIT (2014-2016): Efficient eLIcitation of preferences based on Choquel InTegrals.