Welcome

Emiliano Lancini's personal webpage, Ph.D.

Associate Professor at Université Paris Dauphine – PSL, affiliated with the LAMSADE research center, within the Optimization, Structure & Algorithms group.
I teach computer science in the MIDO department at Université Paris Dauphine – PSL, and at Paris School of AI – PSL.
I am a member of the organizing committee of the Francilien Days of Operations Research (JFRO).

Research Topics

My research focuses on the theoretical aspects of combinatorial optimization, in particular on the polyhedral structures arising in combinatorial optimization problems. I obtained my PhD at the LIPN, with a dissertation on (box-)total dual integrality. My ongoing research explores:

Concurrent Open Shop Coloring

This project focuses on the Concurrent Open Shop Coloring Problem, a variant of the Open Shop Scheduling Problem. We investigate it from both computational and algorithmic perspectives, motivated by its applications in maintenance scheduling, frequency assignment, and privacy-oriented learning.
[Barbato, Delle Donne]

Box-TDIness of the Stable Matching Polytope

This project explores the polyhedral properties of the Stable Matching Problem and the Stable Admissions Problem, with a particular focus on the notion of box-TDIness.
[Barbato]

A Compact Formulation of the Edge Coloring Polytope

This project aims to explore the structure of the Edge Coloring Polytope and to provide a compact formulation for some graph classes.
[Barbato, Pisanu]

Mixed Dominating Set of Bipartite Graphs

This project focuses on the theoretical aspects of the Mixed Dominating Set for some classes of bipartite graphs from both an algorithmic and polyhedral point of view.
[Ferrarini, Kober, Yudisky]

Sequential Picking Games on Matroids against Greedy

In this project, we study the complexity and optimization aspects of a sequential picking game against a greedy player, where the underlying set forms a matroid.
[Cornaz, Gourvès, Lampis]

Publications

Here is a list of my publications.
For each element, the title links to an open-access version of the paper (not peer-reviewed). The journal name links to the official publication.

Journal Articles

Conference Papers

Preprints

Ph.D. Thesis

TDIness and Multicuts
E. Lancini
Ph.D. Thesis

Teaching

I currently teach at Université Paris Dauphine.
Links, when provided, redirect to the corresponding course webpages.

  • 2022 – present : Université Paris Dauphine
    • Algorithmique et Programmation 1 (L1) [link]
    • Graph Theory (M1) [link]
  • 2025 – présent : PSAI
    • Data Structures and Python (M1) [link]
  • 2020 – 2022 : ESEO
    • Initiation à la programmation en Python (P1)
    • Introduction au Machine Learning (I2)
    • Recherche Opérationnelle (I2)
    • Réseaux de Neurones (I2)
    • Théorie de Graphes (I1)
    • Outils Probabilistes pour l’IA (I3)
    • Machine Learning Avancé (I3)
    • Optimisation Avancée (I3)
    • Scientific Writing (I1)
    • Architectures des Systèmes Numériques (I1)
    • IA Appliquée (I2)
  • 2019 – 2020 : Université Paris Dauphine (A.T.E.R.)
    • Programmation Python (L2)
  • 2017 – 2019 : Université Paris Diderot
    • Programmation Orientée Objet et Interfaces Graphiques (L2)
    • Initiation à la programmation en Java (L1)
    • Éléments d'Algorithmique (L2)
    • Concepts Informatiques (L1)

Contact

  • You can contact me at name.familyName [at] lamsade.dauphine.fr
  • Office P622, Université Paris Dauphine
    LAMSADE, CNRS UMR 7243
    Université Paris Dauphine - PSL
    Pl. du Maréchal de Lattre de Tassigny
    75016 PARIS
  • Professional Profiles : Google Scholar ORCID LinkedIn
Emiliano Lancini