Biographie

J'ai obtenu mon doctorat en mathématiques à l'EPFL en 2004. Après 3 années de postdoctorat au Groupe d'Etude et de Recherche en Analyse des Décisions (GERAD) à Montréal, j'ai été engagé en 2008 à la Haute Ecole de Gestion (HEG) de Genève, mon employeur principal, où je suis actuellement Maître d'enseignement.

Mes domaines de recherche sont la théorie des graphes et l'optimisation combinatoire avec applications en logistique, tournées de véhicules et confection horaire. Je suis en particulier en charge depuis 2012 de la confection des horaires de cours et d'examens à la HEG. 

Mes domaines d'enseignement sont l'aide à la décision et la thérorie des graphes (UniFR), ainsi que les statistiques et mathématiques appliquées à l'économie (HEG).

Recherche et publications

• Publications
  33 publications

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  Finding k-community structures in special graph classes
  David Schindl, Narmina Baghirova, Clément Dallard, Bernard Ries, Discrete Applied Mathematics (2024) | Article

  Extremal Chemical Graphs for the Arithmetic-Geometric Index
  Hertz, A. and Bonte, S. and Devillez, G. and Dusollier, V. and Mélot, H. and Schindl, D. , arXiv (2024) | Autre

  A Benders Decomposition Approach for a Capacitated Multi-vehicle Covering Tour Problem with Intermediate Facilities
  David Schindl, Vera Fischer, Antoine Legrain (2024) | Chapitre de livre

  Finding k-community structures in special graph classes
  Baghirova, N. and Dallard, C. and Ries, B. and Schindl, D. , Research Square (2023) | Autre

  Locally Checkable Problems Parameterized by Clique-Width
  David Schindl, Narmina Baghirova, Carolina Lucía Gonzalez, Bernard Ries, (2022) | Article

  Locally Checkable Problems Parameterized by Clique-Width
  David Schindl, Narmina Baghirova, Carolina Lucía Gonzalez, Bernard Ries, (2022) | Article

  LOCALLY CHECKABLE PROBLEMS PARAMETERIZED BY CLIQUE-WIDTH
  Baghirova, N. and Gonzalez, C.L. and Ries, B. and Schindl, D. , arXiv (2022) | Autre

  Finding k-community structures in special graph classes
  Baghirova, N. and Dallard, C. and Ries, B. and Schindl, D. , arXiv (2022) | Autre

  On Some Subclasses of Split B1-EPG Graphs
  Deniz, Zakir; Nivelle, Simon; Ries, Bernard; Schindl, David (Cham : Springer, 2020: LATIN 2020: theoretical informatics, 2020) | Livre

  On Some Subclasses of Split B₁ -EPG Graphs
  Deniz, Z. and Nivelle, S. and Ries, B. and Schindl, D., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): (2020) | Conférence

  Optimal student sectioning on mandatory courses with various sections numbers
  David Schindl, Annals of Operations Research (2019) | Article

  On Split B-1-EPG Graphs
  Deniz, Zakir, Schindl, David, Ries, Bernard, Nivelle, Simon, Lecture Notes in Computer Science (2018) | Article

  Preface: Special Issue on the Ninth International Colloquium on Graphs and Optimization (GO IX), 2014
  Varone, Sacha, Schindl, David, Milanic, Martin, Bertazzi, Luca, Archetti, Claudia, Discrete Applied Mathematics (2018) | Article

  Student sectioning for minimizing potential conflicts on multi-section courses
  Schindl, D., PATAT 2016 - Proceedings of the 11th International Conference on the Practice and Theory of Automated Timetabling: (2016) | Conférence

  Learning Tabu Search for Combinatorial Optimization
  Schindl, David, Zufferey, Nicolas, Communications in Computer and Information Science (2015) | Article

  A Learning Tabu Search for a Truck Allocation Problem with Linear and Nonlinear Cost Components
  Zufferey, Nicolas, Schindl, David, Naval Research Logistics (NRL) (2015) | Article

  On the maximum orders of an induced forest, an induced tree, and a stable set
  Hertz, A. and Marcotte, O. and Schindl, D., Yugoslav Journal of Operations Research (2014) | Article

  Solution Methods for Fuel Supply of Trains
  Zufferey, Nicolas, Schindl, David, INFOR: Information Systems and Operational Research (2013) | Article

  Course opening, assignment and timetabling with student preferences
  Varone, S. and Schindl, D., ICORES 2013 - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems: (2013) | Conférence

  A learning tabu search and graph models for a location-distribution problem in a railway network
  Schindl, David and Zufferey, Nicolas (Genève: HEC, 2013) | Livre

  Heuristics for a project management problem with incompatibility and assignment costs
  Schindl, David, Labarthe, Olivier, Zufferey, Nicolas, Computational Optimization and Applications (2012) | Article

  Ant local search for refueling locomotives
  Schindl, David and Zufferey, Nicolas (Genève: HEC, 2012) | Livre

  Ant Local Search and its efficient adaptation to graph colouring
  Schindl, D., Zufferey, N., Plumettaz, M., Journal of the Operational Research Society (2010) | Article

  A solution method for a car fleet management problem with maintenance constraints
  Hertz, Alain, Zufferey, Nicolas, Schindl, David, Journal of Heuristics (2009) | Article

  Set covering and packing formulations of graph coloring: Algorithms and first polyhedral results
  Schindl, D., Labbe, M., Hansen, P., Discrete Optimization (2009) | Article

  Average Distance and Maximum Induced Forest
  Schindl, David, Marcotte, Odile, Kilani, Rim, Hertz, Alain, Hansen, Pierre, Journal of Graph Theory (2009) | Article

  A solution method for a car fleet management problem with maintenance constraints
  Hertz, Alain; Schindl, David; Zufferey, Nicolas (Norwell, Mass. [u.a.] : Springer Science + Business Media, 1995: Journal of heuristics, 2009) | Livre

  Some simple optimization techniques for self-organized public key management in mobile ad hoc networks
  de Werra, D, Schindl, D, Bornand-Jaccard, T, Discrete Applied Mathematics (2006) | Article

  A solvable case of image reconstruction in discrete tomography
  Schindl, D, Picouleau, C, de Werra, D, Costa, MC, Discrete Applied Mathematics (2005) | Article

  Some new hereditary classes where graph coloring remains NP-hard
  Schindl, D, Discrete Mathematics (2005) | Article

  Lower bounding and tabu search procedures for the frequency assignment problem with polarization constraints
  Hertz, A. and Schindl, D. and Zufferey, N., 4OR (2005) | Article

  P-5-free augmenting graphs and the maximum stable set problem
  Schindl, D, Hertz, A, Gerber, MU, Discrete Applied Mathematics (2003) | Article

  Finding augmenting chains in extensions of claw-free graphs
  Schindl, D, Lozin, V, Hertz, A, Information Processing Letters (2003) | Article

• Projets de recherche

  Efficient and sustainable waste collection
  Statut: Terminé

  Début	01.09.2019
  Fin	31.08.2022
  Financement	Innovation
  In Swiss municipalities, a curbside system is often used to collect the non-recoverable solid waste. In principle, the trucks stop at every household for the collection. Due to the many stops of the heavy trucks, this classic strategy causes high fuel consumption, emissions and noise. The objective of this project is to improve the municipal solid waste collection process by designing efficient and sustainable waste collection strategies targeted to the needs of the municipalities. This objective is pursued through the following three components. First, new waste collection concepts are proposed using modern physical waste collection elements, such as electric vehicles and containers with compressors. For example, small, agile vehicles may bring the garbage bags to larger containers in intermediate depots and large vehicles may then regularly discharge these containers. Second, mathematical models and optimization algorithms are developed for deciding how to design a waste collection concept for a given municipality in the best possible way. Typical decisions are about the locations of the waste collection points, the types of vehicles used to collect the waste at all collection points and the routing of each vehicle. Third, an interactive decision support tool is developed. It enables to specify the inputs, such as the street network and the waste quantities, and to display the results of the optimization algorithms for all alternatives. This tool will help the decision-makers to choose the best waste collection concept for their municipality.