Lekishvili Giorgi

Full Name
Lekishvili Giorgi
Address
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Phone
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E-mail
Web Page
http://giorgi.lekishvili.info/
Date Of Birth
1974-03-30
Education
1991 Rustavi 21st grammar school, cum laude 1995 Javakhishvili University, summa cum laude Programming languages Python/Jython, Java, C/C++, C#; lisp, ruby (less experienced) Methods Soft modeling (PCR/PLS, etc.), Neural networks (Kohonen SOM, Counter-Propagation NN, Back-Propagation NN, RBF NN, etc.) Optimization (GA, SimAn) Miscellaneous Linear algebra & graph theory algorithms, understanding of formal linguistics and compiler design
Position
1998 Candidate of Chemical Sciences, Melikishvili Institute, Georgian Academy of Science 1998 Senior Researcher, Faculty of Chemistry, Javakhishvili University 1999-2001, 2003- Head of Laboratory of Modeling & Synthesis of Bioactive Compounds 1999, Feb-May Research group of Prof. Gasteiger, Computer-Chemie-Centrum, University of Erlangen Nov 2000 – Jan 2001 Research group of Prof. Buydens, Catholic University of Nijmegen May 2001 – Apr 2003 Research group of Prof. Gasteiger, Computer-Chemie-Centrum, University of Erlangen
Publications
Lekishvili, G. On the Characterization of Molecular StereoStructure: 1. Cis-Trans Isomerism, J. Chem. Inf. Comput. Sci., 1997, 37, 924-928. Lekishvili, G. On the Characterization of Molecular StereoStructure: 2. The invariants of the Two-dimensional Graphs. MATCH – Commun. Math. Comput. Chem., 2001, 43, 136-152; Lekishvili, G. The Data. In: Chemoinformatics, A Textbook. Gasteiger, J, Engel, T., Eds. Wiley-VCH, Weinhem, 2003. Lekishvili, G. A New Molecular Descriptor Based on the Kernel of Atomic Properties: 1. General Concepts. Georg. Chem. J. 2004, 4, 333-334. Lekishvili, G. A New Molecular Descriptor Based on the Kernel of Atomic Properties: 2. Benchmark Steroid Dataset. 2006 (to be submitted – the abstract available from http://docs.lekishvili.info/kap2.doc)
Conferences,contacts,other scientific and educational activities
Participation in Grant Projects
Languages
Scientific interests
Chemoinformatics, chemical graph theory, artificial intelligence in chemistry
Current scientific activities
Future work plans
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Department
Computational Sciences