BACKGROUND

Artyom Shaposhnikov Ph.D.

Senior Quantitative Scientist,

ClariFI, Inc. 00

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Artyom (Art) Shaposhnikov serves as a Senior Quantitative Scientist of ClariFI, Inc. Mr. Shaposhnikov joined the ClariFI team and has more than 18 years of experience in such areas as high performance algorithms for databases, AI systems, heuristic systems, time series prediction, financial simulations, data compression, and pattern recognition.

At ClariFI, he leads research and development of trading simulation and high performance data caching, contributing to success of it with industry leading technology such as the ModelScript trading simulation scripting engine, Monte Carlo searching, 3-D model fitness evaluator, and a high performance shared memory object oriented database caching modules.

He has published 12 papers on massively parallel processing, data compression, pattern recognition, and nonlinear and coherent optics. He also published a US Patent on novel database technologies. He managed research and development of a massively parallel database engine at High Performance Database Research Center and NASA RAC at Florida International University, leading a database engine group of more than 12 software engineers and researchers.

He was awarded a permanent US residence and in 2001 US citizenship by US government for his outstanding achievements. His Artificial Intelligence software Vertex won worldwide first place and gold award at 1991 World Computer Olympiad of Artificial Intelligence and a number of other national awards.

As a student under Dr. Rapoport he achieved top honors, was a member of Phi Kappa Phi honor society and won a number of national competitions in physics and computer software. Dr. Shaposhnikov completed his PhD in Computer Science at FIU in 1998. He also holds Masters Degree in Theoretical Quantum Physics and Mathematics from Voronezh State University in Russia where he studied closely with renowned scientist Lev Rapoport who made significant contributions to quantum physics in the 20th century.

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Источник: BusinessWeek.com (отыскал ЖЖ-юзер Евгений Липкович).

ДИССЕРТАЦИЯ Артема Шапошникова на степень доктора философии
Author
Shaposhnikov, Artyom
Year
1998
Title
Algorithms For Efficient Transaction Management And Consistent Queries In Client-Server Semantic Object-Oriented Parallel Databases (Lazy Queries)

Abstract
Large read-only or read-write transactions with a large read set and a small write set constitute an important class of transactions used in such applications as data mining, data warehousing, statistical applications, and report generators. Such transactions are best supported with optimistic concurrency, because locking of large amounts of data for extended periods of time is not an acceptable solution. The abort rate in regular optimistic concurrency algorithms increases exponentially with the size of the transaction. The algorithm proposed in this dissertation solves this problem by using a new transaction scheduling technique that allows a large transaction to commit safely with significantly greater probability that can exceed several orders of magnitude versus regular optimistic concurrency algorithms. A performance simulation study and a formal proof of serializability and external consistency of the proposed algorithm are also presented. This dissertation also proposes a new query optimization technique (lazy queries). Lazy Queries is an adaptive query execution scheme which optimizes itself as the query runs. Lazy queries can be used to find an intersection of sub-queries in a very efficient way, which does not require full execution of large sub-queries nor does it require any statistical knowledge about the data. An efficient optimistic concurrency control algorithm used in a massively parallel B-tree with variable-length keys is introduced. B-trees with variable-length keys can be effectively used in a variety of database types. In particular, we show how such a B-tree was used in our implementation of a semantic object-oriented DBMS. The concurrency control algorithm uses semantically safe optimistic virtual "locks" that achieve very fine granularity in conflict detection. This algorithm ensures serializability and external consistency by using logical clocks and backward validation of transactional queries. A formal proof of correctness of the proposed algorithm is also presented.

Search String
"data warehousing"
Search Date
25-Aug-2000
Search Num of
[?]
Thesis Type Ph.D.
University
Florida International University
Category Data
Warehousing Theory
Research Questions
How can data integrity be preserved during concurrent access involving large read data sets?
Research Type
This is neither quantitative nor qualitative research - it is discovery and invention. What is that called?
Theme Efficient
locking strategies for large mainly read transaction operations

Источник: Dissertation Abstracts; отыскал ЖЖ-юзер igor734



ЕЛЕНА ШАПОШНИКОВА, АРТЕМ ШАПОШНИКОВ

[...]Лена мечтала стать журналистом, работать диктором на телевидении. С ее яркой внешностью и прекрасной дикцией она могла достигнуть небывалых высот в этой области. Но для этого надо было ехать в Москву. Средств на поездку взять было неоткуда. Протекции у нее не было. А просить она не могла, да и не умела. Но все-таки Лене худо-бедно удалось реализовать свою мечту. Она устроилась на механический завод, где выпускала заводскую многотиражку. Через год ее пригласили на заработки в Мурманск. Предложили должность корреспондента в областной многотиражке. Но там она не задержалась. Обратно в Воронеж вернулась беременная. Здесь родила сына Артема. Кто был отцом ребенка, она никогда не рассказывала. Фамилию мальчику дала свою.
[...]Сын Елены Вениаминовны Артем, в свою очередь, закончил школу с золотой медалью, поступил в воронежский университет на математический факультет. По окончании вуза его отправили на стажировку в США. Вскоре ему предложили престижную должность программиста в одной крупной компании. Вот уже больше десяти лет Артем Шапошников вместе со своей матерью живет во Флориде.
Источник: МК, 4 февраля 2008