- Bioinformatics; the design and implementation of algorithms for computational biology;
- Phylogeny study, artificial intelligence, object oriented technology.
Mariana Kant Antonescu received her PhD in Computer Science from Université de Montréal in 1990. She received a Bioinformatics graduate certificate from University of Toronto and University of British Colombia in 2000. She works in the Bioinformatics area, more specifically in design and implementation of algorithms (sequential, parallel, and distributed) for Computational Biology with a special interest on Phylogeny study. She uses for this purpose the artificial intelligence and the object oriented technology applied in a distributed environment. During the past decade her research has been supported by NSERC.
- M. Kant, Using a Synchronous Geodetic Network, PDCS 2002, Proceedings of the Fourteenth International Conference on Parallel and Distributed Computing Systems, 2002.
- M. Kant, Hierarchical Classification Using Neural Networks, ISCIS XIV, Proceedings of the Fourteenth International Symposium on Computer and Information Sciences,1999
- M. Kant, Are 2*-Trees Interesting Topologies for the Interconnection of a Network?, Proceedings of International Conference on Parallel and Distributed Systems, 1997
- M. Kant, Communication Algorithms for Geodetic Networks, ISCIS-XII, Proceedings of the Twelfth International Symposium on Computer and Information Sciences, 1997
- M. Kant, The Twisted d-cube and the Folded Hypercube, Two Interesting Topologies for Efficient Routing, Proceedings of the Eleventh International Symposium on Computer and Information Sciences,1996
- M. Kant, Parallel Algorithms for Inferring Evolutionary Trees, Proceedings of the Eleventh International Symposium on Computer and Information Sciences,1996.
- M. Kant, Simulation of Rooted trees Using Neural Nets with Application to Agreement Subtrees, JOURNAL of COMPUTING and INFORMATION, 1996