This is an old revision of the document!
Volgograd State University, Mathematical physics, 1988, Volgograd, Russia
PhD in Computer Science, 1998, Chair of CAD/CAE Systems, Volgograd State Technical University, Volgograd, Russia
In-depth 20+ years expertise in teaching and scientific researches in the area of Artificial Intelligence and it applications, including knowledge engineering, intelligent data analysis, automated reasoning, knowledge representation, Semantic Web technologies, intelligent support of decision making and human-computer interaction. Experienced as a team leader and member of various international research and educational projects. Result-driven, strong analytic skills, focused on problem solving, a team player with critical thinking and good communication skills. An author and co-author of more than 70 research papers, 7 patents and 10 university courses.
1988-present:
Volgograd State Technical University, Volgograd, Russia
Associate Professor, Chair of Software Engineering, Computer Science Faculty
Research activity:
As a head and a member of research groups carried out 3 research projects in the areas of intelligent decision making and knowledge engineering under financial support from RFBR
Created and headed the “Intelligent decision making” and “Simulating HCI for special needs” research groups, participated in PC of international conferences (IADIS, JCKBSE,I2T, IISA, CIT&DS).
5 DAAD research fellowships in Leibniz University Hanover (2000, 2002, 2004, 2006, 2008).
Developed intelligent decision making models, methods and software tools in various domains (engineering analysis, environmental management, human resource management, learning management).
Authored 16 papers listed in Scopus and Web of Science and 56 listed in Russian SCI.
PC Member and reviewer of papers for conference JCKBSE and CIT&DS, Volume editor of Communications in Computer and Information Science. Knowledge-Based Software Engineering, volume 466, Springer, 2014 and Creativity in Intelligent Technologies & Data Science, volume 535, 2015.
Teaching activity:
Supervised and co-promoted 4 PhD students (promoted in 2006, 2011, 2013, 2014), 12 master students and a plenty of bachelors.
Developed curriculum and courses in “Artificial Intelligence”, “Knowledge Based Systems”, “Knowledge Engineering”, “Intelligent Decision Making”, “Applied System Analysis”.
2000, 2002, 2004, 2006, 2008-2009:
Leibniz University Hanover, Germany
Guest researcher, IBNM, IKM
5 DAAD research fellowships in the area of intelligent support of finite element analysis under supervising Prof. P. Wriggers.
Participated in EU Project RAMWASS (development of intelligent decision support system in Elbe river floodplain management).
2004-2009:
Volgograd State University of Architecture and Civil Engineering
Guest Lecturer
As a contact person participated in Tempus Project (2005-2008).
Performed teaching activity, courses “Artificial Intelligence”, “Semantic Web Technologies”, “Mathematical Modeling”.
Participated as a guest lecturer in organization of summer schools for students of MacMaster University, Canada, course “Engineering analysis using FEM” (2005-2008).
RFBR Project 15-07-03541 “Intelligent support of decision making in management of large scale systems based on integration of different reasoning types on ontological knowledge” (2015 – 2017).
RamWass EU Project 037081 Integrated decision support system for risk assessment and management of the water-sediment-soil system at river basin scale in fluvial ecosystems (2007 – 2009).
Tempus Gemeinsames Europäisches Projekt JEP_26211_2005 “Bachelor-/Master-Studium in Umwelttechnik” (2005-2008).
RFBR Project 05-08-17930 Intelligent Support of Engineering Analysis Based on Ontologies, Qualitative Reasoning and Case-Based Reasoning (2005 – 2007).
RFBR Project 13-07-00219 “Intelligent support of strategic planning based on integration of cognitive and ontological models” (2013 – 2015).
English – fluent
German – intermediate
Russian – native
An author and co-author of more than 70 research papers, 7 patents and 10 university courses, including 16 papers listed in Scopus and Web of Science and 56 listed in Russian SCI.
2008 (1)
Peter Wriggers, Marina Siplivaya, Irina Joukova, Roman Slivin (2008)
Intelligent support of the preprocessing stage of engineering analysis using case-based reasoning.
Engineering with Computers 24 (4) pp. 383–404.
doi web bibtex @Article{Wriggers2008,
author="Wriggers, Peter
and Siplivaya, Marina
and Joukova, Irina
and Slivin, Roman",
title="Intelligent support of the preprocessing stage of engineering analysis using case-based reasoning",
journal="Engineering with Computers",
year="2008",
volume="24",
number="4",
pages="383--404",
abstract="The process of engineering analysis, especially its preprocessing stage, comprises some knowledge-based tasks which influence the quality of the results greatly, require considerable level of expertise from an engineer; the support for these tasks by the contemporary CAE systems is limited. Analysis of the knowledge and reasoning involved in solving these tasks shows that the appropriate support for them by an automated system can be implemented using case-based reasoning (CBR) technology. In this paper the automated knowledge-based system for intelligent support of the preprocessing stage of engineering analysis in the contact mechanics domain is presented which employs the CBR mechanism. The case representation model is proposed which is centered on the structured qualitative model of a technical object. The model is formally represented by the Ontology Web Language Description Logics (OWL DL) ontology. Case retrieval and adaptation algorithms for this model are described which according to the initial tests perform better in the chosen domain then the known prototypes. The automated system is described and a sample problem-solving scenario from the contact mechanics domain is presented. Use of such system can potentially lower costs of engineering analysis by reducing the number of inappropriate decisions and analysis iterations and facilitate knowledge transfer from research into industry.",
issn="1435-5663",
doi="10.1007/s00366-007-0079-5",
url="http://dx.doi.org/10.1007/s00366-007-0079-5"
}
Abstract The process of engineering analysis, especially its preprocessing stage, comprises some knowledge-based tasks which influence the quality of the results greatly, require considerable level of expertise from an engineer; the support for these tasks by the contemporary CAE systems is limited. Analysis of the knowledge and reasoning involved in solving these tasks shows that the appropriate support for them by an automated system can be implemented using case-based reasoning (CBR) technology. In this paper the automated knowledge-based system for intelligent support of the preprocessing stage of engineering analysis in the contact mechanics domain is presented which employs the CBR mechanism. The case representation model is proposed which is centered on the structured qualitative model of a technical object. The model is formally represented by the Ontology Web Language Description Logics (OWL DL) ontology. Case retrieval and adaptation algorithms for this model are described which according to the initial tests perform better in the chosen domain then the known prototypes. The automated system is described and a sample problem-solving scenario from the contact mechanics domain is presented. Use of such system can potentially lower costs of engineering analysis by reducing the number of inappropriate decisions and analysis iterations and facilitate knowledge transfer from research into industry.
2007 (2)
Peter Wriggers, Marina Siplivaya, Irina Joukova, Roman Slivin (aug 2007)
Intelligent Support of Engineering Analysis Using Ontology and Case-based Reasoning.
Eng. Appl. Artif. Intell. 20 (5) pp. 709–720. Pergamon Press, Inc.. Tarrytown, NY, USA.
doi web bibtex @article{Wriggers:2007:ISE:1265605.1265719,
author = {Wriggers, Peter and Siplivaya, Marina and Joukova, Irina and Slivin, Roman},
title = {Intelligent Support of Engineering Analysis Using Ontology and Case-based Reasoning},
journal = {Eng. Appl. Artif. Intell.},
issue_date = {August, 2007},
volume = {20},
number = {5},
month = aug,
year = {2007},
issn = {0952-1976},
pages = {709--720},
numpages = {12},
url = {http://dx.doi.org/10.1016/j.engappai.2006.12.002},
doi = {10.1016/j.engappai.2006.12.002},
acmid = {1265719},
publisher = {Pergamon Press, Inc.},
address = {Tarrytown, NY, USA},
keywords = {Case-based reasoning, Engineering analysis, Intelligent support, Ontology},
}
P. Wriggers, M. Siplivaya, I. Zhukova, A. Kapysh, A. Kultsov (2007)
Integration of a case-based reasoning and an ontological knowledge base in the system of intelligent support of finite element analysis.
Computer Assisted Mechanics and Engineering Sciences Vol. 14, No. 4 pp. 753–765.
bibtex @article{WSZKK2007,
author="P. Wriggers and M. Siplivaya and I. Zhukova and A. Kapysh and A. Kultsov",
title = "Integration of a case-based reasoning and an ontological knowledge base in the system of intelligent support of finite element analysis",
journal = "Computer Assisted Mechanics and Engineering Sciences",
volume = "Vol. 14, No. 4",
year = "2007",
pages = "753--765",
}