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
  18 Publikationen

  2022 2019 2018 2015 2013 2012 2010 2009 2006 2005 2003

  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

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

  On Split B-1-EPG Graphs
  Deniz, Zakir, Schindl, David, Ries, Bernard, Nivelle, Simon, 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

  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

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

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

  A solution method for a car fleet management problem with maintenance constraints
  Hertz, Alain, Zufferey, Nicolas, Schindl, David, 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

  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

  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.

Lehrveranstaltungen

Im Vorlesungsverzeichnis anzeigen