Группа ORSOT. Кварацхелия Александр Гонерович. Построение эффективных алгоритмов объемно календарного планирования, составление расписаний. Научно

Personal details

Name	Alexander
Surname	Kvaratskhelia
Gender	Male
Marital status	Single
Social status	Student
Birth day	December, 8, 1980
Birth place	Kazan, Russia
Home address	Botanicheskaya str. 9-5, Kazan, 420059, Russia
E-mail	akvarats@soros.ksu.ru

School/College/University	Dates	Qualification
Kazan State University, Department of Mathematics and Cybernetics, Chair of Economic Cybernetics	1997 - now	Operation research and methods of optimization Master degree
Secondary school in Kazan	1987 - 1997	Secondary education

MAPSP'01 International Conference on Models and Algorithms in Planning and Scheduling Problem, Aussois, France, June, 17-22, 2001. To be presented abstract: A.Lazarev and A.Kvaratskhelia. Experimental research of measure of decidabiity for NP-hard scheduling problem minimizing total tardiness.
XXIII Conference of Young Researchers of Department of Mechanics and Mathematics of Moscow State University, Moscow, Russia, April 9-14, 2001. Presented talk: A.Lazarev and A.Kvaratskhelia. Research of measure of decidability for classical NP-hard scheduling problem minimizing maximum lateness.
Interval2000 International Conference on Interval Methods in Science and Engineering, Karlsruhe, Germany, September 19-22, 2000. Presented abstract: A.Lazarev, A.Kvaratkhelia and R.Sadykov. Research of common regularities of absolute error for NP-hard scheduling problem minimizing maximum lateness.
FGI-2000 France-German-Italian Conference on Optimization, Montpellier, France, September 04-08, 2000. Presented talk: A.Lazarev, A.Kvaratskhelia and R.Sadykov. Research of absolute error for NP-hard scheduling problem minimizing maximum lateness.

Skills	Applications
Operational research and methods of optimization	The basic university specialty, Master degree. Discrete optimization, Linear programming, Convex optimization, Operational research in economics
Theory of scheduling	Research of classical NP-hard problems on a single to minimize total tardiness and minimize maximum lateness
Software programming	Using C, C++, Visual C++ (MFC) programming languages and environments for creating software packages for practical requirements and science research in field of theory of scheduling
Technical English	Reading and writing science articles, books and other applications
Web design	Creating WWW pages (WFD) using HTMLv4.0, Flash 4