Layla Martin, M.Sc.

Contact

Room: Leopoldstr. 145, 202
Tel.: +49 89 289 26772
layla.martin@tum.de 

Office Hours

by appointment

Research interest

  • Optimization in Car Sharing and Shared Mobility
  • Routing and Transportation
  • Game Theory

CURRENT TEACHING

Academic Career and Positions held to date

  • since 09/2017: Research assistant at the Department of Logistics and Supply Chain Management (Prof. Dr. Minner) in the "Advanced Optimization in a Networked Economy" (adone) Research Training Group, TU Munich (www.adone.gs.tum.de)

Academic Education

  • 2015-2017: M.Sc. in Information Systems at TU Munich
  • 2016: Erasmus student Computer Science at Reykjavik University (Iceland)
  • 2012-2015: B.Sc. in Computer Science at DHBW Stuttgart
  • 2014: Exchange student Computer Science at Staffordshire University (UK)

Awards

  • 2019 Research Excellence Program of the TUM School of Management
  • 2019 Best Thesis Award Junior Management Science (for Master Thesis, submitted July 2017)
  • 2017 Academic Work Award (Technical University of Munich Department of Informatics and Academic Work) for excellent performance in the Master of Information Systems
  • 2016 best.in.tum of the Department of Informatics (TUM)
  • 2015, 2016 Deutschlandstipendium

Ongoing Supervision

  • Master Theses
    • Solving the Competitive Facility Location Problem Using Mixed Integer Programming and Simultaneous Column and Row Generation
  • Bachelor Theses
    • Empirical Analysis of Relocation Operations in Car- and Bike-Sharing Systems
    • Modelling and Simulation of Carsharing Rebalancing Operations Considering Trip Chaining
    • Comparison between Carsharing and Taxi Operations and Descriptive Analytics of Cannibalization Effects (joint supervision with the Chair of Automotive Technology)
    • The Influence of the Flight Schedule at Munich Airport on Carsharing Demand
    • Analyzing the Influence of Traffic Congestion on Taxi and Carsharing Demand
  • Interdisciplinary Projects
    • Development of an interface between a linear program and Java with a commercial solver
    • Data Collection (Public Transport Disruptions; joint supervision with the Chair of Automotive Technology)
  • Research Internships in Science and Engineering
    • Business Analytics and Machine Learning for Carsharing (Data Collection and Analysis on the Influence of Traffic Jams on the Carsharing Demand)

Supervised Theses

  • Master theses
    • 2019
      • Comparison of Different Heuristics for Relocation in Carsharing
    • 2018
      • Extending Hotelling's Law and the Competitive Facility Location Problem to Rebalancing of Carsharing Systems
  • Bachelor theses
    • 2019
      • Generating Taxi Demand and Movement Patterns
      • Optimal Relocation in Carsharing Systems using Trucks
      • Analysis of the Potential of a Predictive Fleet Strategy in the Taxi Industry (joint supervision with the Chair of Automotive Technology)
      • Optimal Relocation in Carsharing Systems using Buses for Worker Rebalancing
    • 2018
      • Comparison of Different Modes of Shared Transportation
      • Modelling of Carsharing Rebalancing Operations for Different Vehicle Types
      • A Framework for Integer Programs for Relocation in One-Way Carsharing Systems
  • Interdisciplinary Projects
    • 2019
      • Data Collection (Vehicle Movements)
      • Heuristics for Relocation in Carsharing

Previous Teaching

  • Winter 18/19
    • Transportation Analytics
  • Summer 18
    • Master seminar

Presentations

  • 2019 VHB Annual Meeting, Rostock, Germany: "Extending Kolkata Paise Restaurant Problem to Dynamic Matching in Mobility Markets" 
  • 2019 JUMS Conference, Hamburg, Germany: "Extending Kolkata Paise Restaurant Problem to Dynamic Matching in Mobility Markets"
  • 2018 Mobility@TUM Doctoral Workshop, Munich, Germany: "Advanced Optimization for Shared Mobility"
  • 2018 European Conference on Operational Research (EURO), Valencia, Spain: "The Competitive Pickup and Delivery Problem for Rebalancing Carsharing Systems" Funded by the Diversity Promotion Fund of the TUM School of Management.
  • 2017 Workshop on Information Technology and Systems (WITS2017), Seoul, South Korea: "The Vehicle for Hire Problem: A Generalized Kolkata Paise Restaurant Problem" Funded by the Diversity Promotion Fund of the TUM School of Management.
  • 2017 Automotive Workshop, Braunschweig, Germany: "The Vehicle for Hire Problem"