Andrea Raith

Biography

Andrea Raith received a Bachelor of Science in Mathematics from the Technische Universität Darmstadt, Germany, in 2002 and the degree of Diplom Mathematikerin (MSc) in 2005. As part of her MSc, she wrote a thesis titled ‘Bicriteria optimisation of synchronous generators for wind power plants’ in collaboration with the Department of Electrical Engineering and Information Technology. After the completion of her thesis, she continued working at the department and developed an extension of the bicriteria optimisation method to the multi-objective case. This was used in consulting work for a major manufacturer of wind power plants.

Before her appointment as a Lecturer, Andrea came to the Department of Engineering Science as a PhD candidate. Her thesis is titled ‘Multi-objective Transportation and Routing Problems’. Her main research interests are algorithms for bi- and multiobjective network optimisation problems such as the shortest path problem, network flow problems, and the transportation problem. Furthermore, Andrea currently applies bi-objective optimisation in the context of the so-called traffic assignment problem, which models the route choice of network users in traffic networks. These techniques can be applied to transportation planning, and especially when modelling the effects of road tolling.

Qualifications

PhD in Engineering Science, The University of Auckland
Dipl.-Math (MSc), Technische Universität Darmstadt, Germany
BSc in Mathematics, Technische Universität Darmstadt, Germany

Research interests

• Algorithms for bi- and multi-objective network optimisation problems.
• Transportation modelling in vehicular traffic, cycling, aircraft routing.
• Network equilibrium problems such as traffic assignment.

Research groups

Operations Research

Teaching

• ENGSCI 255 - Modelling in Operations Research
• ENGSCI 311 - Mathematical Modelling 3
• ENGSCI 761 - Computational Optimisation in Operations Research
• ENGSCI 762 - Advanced Topics in Operations Research

Selected publications

Raith, A. & Ehrgott, M., A comparison of solution strategies for biobjective shortest path problems, Computers & Operations Research, 2009, 36, 1299-1331

Raith, A. & Ehrgott, M., A two-phase algorithm for the biobjective integer minimum cost flow problem, Computers & Operations Research, 2009, 36, 1945-1954

Raith, A., Wang, J., Ehrgott, M. & Mitchell, S., Solving Multi-Objective Traffic Assignment, ORP3 Proceedings, 2011

Ehrgott, M., Wang, J., Raith, A. & Van Houtte, C. Bi-objective Cyclist Route Choice Model Transportation Research Part A, Policy and Practice, to appear

Administration

• Timetabling Committee
•  Library Committee

Professional affiliations

• Member of MCDM Society
• Treasurer of ORSNZ