Biografie

Ich habe 2004 meinen Doktortitel in Mathematik an der EPFL erworben. Nach drei Jahren als Postdoktorand bei der Group for Research in Decision Analysis (GERAD) in Montreal wurde ich 2008 an der Haute Ecole de Gestion (HEG) in Genf, meinem Hauptarbeitgeber, angestellt, wo ich derzeit als Maître d'enseignement tätig bin.

Meine Forschungsgebiete sind Graphentheorie und kombinatorische Optimierung mit Anwendungen in den Bereichen Logistik, Fahrzeugtouren und Stundenplanung. Insbesondere bin ich seit 2012 für die Erstellung der Vorlesungs- und Prüfungspläne der HSW zuständig.

Meine Lehrgebiete sind Entscheidungsunterstützung und Graphentheorie (UniFR), sowie Statistik und angewandte Wirtschaftsmathematik (HEG).

Forschung und Publikationen

• Publications
  33 Publikationen

  2024 2023 2022 2020 2019 2018 2016 2015 2014 2013 2012 2010 2009 2006 2005 2003

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

  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) | Sonstiges

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

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

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

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

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

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

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

  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) | Konferenz

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

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

  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) | Artikel

  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) | Konferenz

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

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

  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) | Artikel

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

  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) | Konferenz

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

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

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

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

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

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

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

  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) | Buch

  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) | Artikel

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

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

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

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

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

• Forschungsprojekte

  Efficient and sustainable waste collection
  Status: Abgeschlossen

  Beginn	01.09.2019
  Ende	31.08.2022
  Finanzierung	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.