![]()
Norbert Zeh
|
Research
|
|
|
Research
|
I am always looking for students. Talk to me, if you are
interested in writing your thesis under my supervision. I am
also interested in co-supervising students on applications of
algorithmic techniques to applied areas. Potential co-supervisors
are Evangelos Milios, Andrew Rau-Chaplin, and Vlado Keselj.
I am interested in the design and implementation of algorithms and data structures. My particular research interests include
Other topics that interest me are the application of algorithmic techniques to problems in parallel data mining (jointly with Andrew Rau-Chaplin), automatic term extraction (jointly with Evangelos Milios), and natural language processing (jointly with Vlado Keselj).
Current students
I currently have the pleasure of supervising the following students:
Former students
In general, I feel that students are more enthusiastic about their work if their thesis topic is a topic of their choice. So, if you have a topic you are interested in working on and you think that I might be interested in this topic, come and talk to me. The following is a list of topics I am looking for students to work on. If you share my interest in one of the above research areas, but none of the topics listed here excites you, come and talk to me. Algorithms for large directed graphs Description: The goal of this thesis is to make progress on solving fundamental problems on large directed graphs. The currently hot open problems, in increasing order of difficulty (according to what I believe), include reachability (can a vertex v reach a vertex w?), topological sorting, strong connectivity, breadth-first search, and shortest paths.Cache-oblivious algorithms for planar graphs Description: The goal of this thesis is to develop cache-oblivious algorithms for fundamental problems on planar graphs. An algorithm is cache-oblivious if it takes full advantage of the presence of cache memory while not knowing the parameters such as cache size and cache line length. The problems to be studied are computing planar separators, planarity testing, shortest paths, strong connectivity, and depth-first search.Practical algorithms for large graphs Description: A large number of theoretically efficient algorithms for fundamental problems on large graphs have been developed. However, most of them are too complicated to be of any practical value. This thesis aims at rectifying this situation through the development and implementation of practical algorithms. Ideally, one hopes for simple theoretically optimal algorithms, but theoretically suboptimal algorithms that perform well in practice and even use heuristic approaches are also of interest.Other topics Ask me. |
|