Paata Tsereteli

Paata Tsereteli
Paata Tsereteli
Born	August 28, 1963; Tbilis, Georgia
Died	August 22, 2022; Kutaisi, Georgia
Education	1980-1985: Tbilisi State University Cybernetics and Applied Mathematics 1990-1993: Institute of Numerical Mathematics of Russian Academy of Sciences
Alma mater	1993: Ph.D in Computer Science
Spouse	Tamar
Children	2
	Scientific Career
Website	http://www.viam.science.tsu.ge/old/cit-tsu/Staff/Tsereteli.htm

Article

Paata Tsereteli (August 28, 1963, Tbilisi) was a distinguished Computer Scientist and Associated Professor at Tbilisi State Universiy known for his contributions to the field of Computational Electromagnetics, Parallel Computing, and Mathematical Modeling.One year after his untimely death, no one has been able to replicate or improve upon his algorithms and implementations for Apple, Audi, Opel and etc, which are essential to the development of parallel computing and left a lasting impact.

Education and Academic Achievements

Paata Tsereteli's academic journey began at Tbilisi State University, where he pursued a degree in Cybernetics and Applied Mathematics from 1980 to 1985. Following his undergraduate studies, he continued his pursuit of knowledge by enrolling in the Institute of Numerical Mathematics of the Russian Academy of Sciences in Moscow, where he completed his postgraduate studies between 1990 and 1993. It was during this period that he demonstrated his dedication to advancing the field of computer science.

In 1993, Paata Tsereteli earned his Ph.D. in computer science, marking a significant milestone in his academic and research career. His doctoral work showcased his expertise in the optimization of parallel algorithms and the structural investigation and visualization of algorithms. These areas of study have been pivotal in the development of high-performance computing and have had applications in a wide range of fields, from scientific simulations to data analysis.

Career

Throughout his career, Paata Tsereteli held various academic and research positions that allowed him to further his contributions to computer science. He began as a laboratory assistant at Tbilisi State University from 1984 to 1988 and later worked as a minor scientific worker at the Institute of Computational Mathematics from 1988 to 1990.

Notably, he served as the Main Programmer at the Scientific Computing Center of Moscow State University from 1993 to 1999, where he made substantial contributions to the development of computational tools and software for scientific research.

Since 1993, Paata Tsereteli has been associated with the Institute of Computational Mathematics of the Georgian Academy of Sciences, where he holds the position of Senior Scientific Worker. Additionally, he has been an esteemed faculty member at Tbilisi State University since 2000, teaching courses related to software and information technologies.

Research and Publications

Academic

Paata Tsereteli's extensive research work is underscored by his numerous publications, totaling eight papers. One of his notable works, "Modern Fortran for Perspective Supercomputers," published in 1995, delves into the utilization of Fortran programming for emerging supercomputing technologies.

His collaborative efforts are also evident in publications such as "Analysis of Parallel Program Characteristics via Internet" (1999) and "Complex Approach to Analysis of Parallel Program Dynamic Characteristics" (1998), both of which have contributed to the understanding of parallel program behavior and dynamics.

In 2000, Paata Tsereteli co-authored the book "Model + Algorithm + Program = Informatics," a comprehensive resource that explores the synergy between models, algorithms, and computer programs in the field of informatics.

Professional

Paata Tsereteli, also known as P. Tsereteli, is a distinguished computer scientist and researcher whose work has significantly contributed to several areas of computational electromagnetics and parallel computing. His research interests encompass a wide range of topics, including electromagnetic compatibility, iterative methods, antenna theory, computer graphics equipment, optimization, and parallel processing.

Electromagnetic Compatibility and Computational Electromagnetics

One of Paata Tsereteli's primary research areas is electromagnetic compatibility (EMC). He has made substantial contributions to the field, particularly in the development of computational techniques and methods for solving EMC problems. His work has focused on investigating electromagnetic interference and ensuring the proper functioning of electronic systems in various applications, including automobiles and aircraft.

Iterative Methods and Computational Complexity

Tsereteli's research also extends to iterative methods and computational complexity. He has explored techniques such as the conjugate gradient methods and the use of coprocessors in solving complex computational problems efficiently. His expertise in this area has been valuable in addressing computational challenges in electromagnetics and related fields.

Antenna Theory and Radiation Patterns

Antenna theory and the analysis of radiation patterns are significant components of Tsereteli's research portfolio. He has worked on developing advanced computational techniques to simulate modern automotive and aircraft antenna electromagnetic and electromagnetic compatibility (EM/EMC) problems. His contributions have enhanced our understanding of antenna design and performance in diverse environments.

Parallel Processing and Optimization

Paata Tsereteli's work also extends into the realm of parallel processing and optimization. He has been actively involved in the development and implementation of parallel algorithms and techniques. His research has encompassed the utilization of workstation clusters and message passing for solving complex computational problems efficiently. This expertise has had implications for high-performance computing and scientific simulations.

Notable Publications

Throughout his career, Paata Tsereteli has authored and co-authored a notable body of work, which includes research papers presented at international conferences and workshops. Some of his significant publications include:

"Fast iterative calculation of large body-mounted antenna radiation using adaptive cross-approximation" (2014).
"ACA method and SPAI preconditioner for acceleration BICGSTAB solver in MoM based solver TriD" (2011).
"Using hybrid GPU algorithm for solving of EMC problems" (2011).
"Advanced computational techniques to simulate up-to-date automotive antenna EM/EMC problems" (2010).
"Development of FEM/MOM approach for investigation of vehicle glass antennas" (2005).
"A partitioned MoM scheme for the solution of EM/EMC problems on assemblies of geometries with a substantial common part" (2004).
"Solving large-scale EMC problems using Linux cluster and parallel MoM" (2004).

These publications represent a fraction of Paata Tsereteli's research contributions to the fields of computational electromagnetics and parallel computing. His work continues to influence the development of computational techniques and solutions in various domains.

Notable Publications

Paata Tsereteli has made significant contributions to the fields of computational electromagnetics, parallel computing, and related areas. Some of his notable publications include:

"On the Mathematical Model of Drug Treatment of Rheumatoid Arthritis" (2019)

Authors: Kakha Odisharia, Vladimer Odisharia, Paata Tsereteli, Nona Janikashvili
Description: This publication discusses the further development of a mathematical model for the treatment of rheumatoid arthritis. It introduces a treatment component, with a focus on Tocilizumab as a potential treatment option.

"Three-Layer Factorized Difference Schemes and Parallel Algorithms for Solving the System of Linear Parabolic Equations with Mixed Derivatives and Variable Coefficients" (2016)

Authors: Criado-Aldeanueva F, T. D. Davitashvili, Hamlet Meladze, Jose Maria Sanchez Saez, Paata Tsereteli
Description: This paper addresses the nonstationary problem for systems of parabolic equations with first-order boundary conditions. It introduces a three-layer factorized scheme that does not require matrix inversion, making it suitable for use on multiprocessing computing systems.

"Using hybrid GPU algorithm for solving of EMC problems" (2011)

Authors: R. Jobava, Paata Tsereteli, Kakhaber Odisharia
Description: This publication explores the utilization of multi-core processors and GPU technology for solving electromagnetic compatibility (EMC) problems. It discusses the increasing ease of programming GPUs for general-purpose computing and their effectiveness in computational tasks.

"Fast Iterative Calculation of Large Body Mounted Antenna Radiation using Adaptive Cross Approximation" (2014)

Authors: Giga Gabriadze, Faik Bodganov, Paata Tsereteli, Vazha Tskhovrebashvili
Description: This paper presents the application of the Adaptive Cross Approximation (ACA) algorithm to accelerate the method of moments (MoM) solution for large-scale radiation problems. It focuses on reducing memory requirements and speeding up matrix-vector operations.

These publications represent only a portion of Paata Tsereteli's extensive body of work in the fields of computational electromagnetics, parallel computing, and optimization. His research has contributed to advancements in solving complex electromagnetic problems and improving computational techniques

Awards and Honours

...

Academic Contributions

As a dedicated educator, Paata Tsereteli has enriched the academic landscape by teaching courses in object-oriented programming, UNIX, C/C++, parallel programming, and the architecture of parallel numerical systems. His commitment to education extends to guiding students in their course work, including parallel programming, web design, and database-related projects.

Languages and Personal Information

Paata Tsereteli is fluent in Georgian, Russian, and English, which has enabled him to communicate and collaborate with experts from diverse linguistic backgrounds.

Conclusion

Paata Tsereteli's remarkable journey in the field of computer science and his enduring commitment to education have made him a respected figure in the academic and research communities. His work in parallel algorithms, algorithm analysis, and programming languages continues to influence the development of high-performance computing systems.

References

https://csit.am/2013/proceedings/PDC03.pdf

https://micm.edu.ge/

External links

https://www.researchgate.net/profile/Paata-Tsereteli - Explore additional research papers and contributions by Paata Tsereteli on ResearchGate.
https://ieeexplore.ieee.org/author/37271380300
https://institutes.gtu.ge/Member/103

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