SS

 SERGEI LEVASHKIN*

 (alternate spelling SERGUEI LEVACHKINE)

A. PERSONAL INFORMATION

E-mail: sergei [at] levashkin [dot] com
Web: http://www.levashkin.com/ http://www.geosco.org/

EDUCATION

1990

1983

1981

 

EXPERIENCE

2012-present

2011-2012

2007-2010

2004-2005

2002-2004

2001-2002, 2005-2007

1998-2001

1997-1998

1994-1997

1992-1994

1990-1992

1983-1990

CONSULTING

B. RESEARCH ACTIVITIES

RESEARCH STATEMENT

My current research efforts are mainly in the transition from data to semantics, viewed from both theoretical and pragmatic perspectives and directed to a variety of areas such as databases, artificial intelligence, cognitive science, human-computer interaction, information retrieval and integration, intelligent geographic information systems (GIS), image processing, pattern recognition, semantic web, text processing, and PDE-based modeling of complex systems. I am able to collaborate with individuals working in any of these areas. The focus of my research is called data semantic associative analysis and synthesis .
    My long-term goal is to develop theories and tools embedded into a working computer system to estimate meaningful content of raw information. In the following, I briefly describe past, current, and future research projects, which are strongly motivated by industrial applications and by development of emergent educational programs in computing and information sciences.

SELECTED REFEERED PUBLICATIONS

This list of publications is organized by area in alphabetical order, showing journal and conference publications in each area.

ARTIFICIAL INTELLIGENCE

  1. C. Claramunt, M. Bertolotto, and S. Levashkin, Editors, Lecture Notes in Computer Science Vol. 6631: Geospatial Semantics, Fourth International Conference, GeoS 2011, Brest, France, May 12-13, 2011, Proceedings, Springer-Verlag 2011
  2. S. Levashkin, V. Alexandrov, Data semantic associative analysis and synthesis. Preprint
  3. K. Janowicz, M. Raubal, and S. Levashkin, Editors, Lecture Notes in Computer Science Vol. 5892: Geospatial Semantics, Third International Conference, GeoS 2009, Mexico City, Mexico, December 3-4, 2009, Proceedings, Springer-Verlag 2009
  4. F. Fonseca, M.A. Rodriguez, and S. Levashkin, Editors, Lecture Notes in Computer Science Vol. 4853: Geospatial Semantics, Second International Conference, GeoS 2007, Mexico City, Mexico, November 29-30, 2007, Proceedings, Springer-Verlag 2007
  5. S. Levachkine, A. Guzman-Arenas, Hierarchy as a new data type for qualitative variables. Journal of Experts Systems with Applications, Vol. 32, No. 3, Elsevier (2007) 899-910
  6. M.A. Rodriguez, I.F. Cruz, S. Levashkin, and M.J. Egenhofer, Editors, Lecture Notes in Computer Science Vol. 3799: Geospatial Semantics, First International Conference, GeoS 2005, Mexico City, Mexico, November 29-30, 2005, Proceedings, Springer-Verlag 2005
  7. S. Levachkine, A. Guzman-Arenas, and V.P. de Gyves , The semantics of confusion in hierarchies: Theory and practice, Common Semantics for Sharing Knowledge , Kassel University Press (2005), Germany
  8. V.P. de Gyves, A. Guzman-Arenas, and S. Levachkine, Extending databases to precision-controlled retrieval of qualitative information. Lecture Notes in Computer Science , Vol. 3563, Springer-Verlag (2005) 21-32
  9. A. Guzman-Arenas, S. Levachkine, and V.P. de Gyves, Measuring the confusion between two qualitative values organized in hierarchies. Preprint
  10. A. Guzman-Arenas, S. Levachkine, and V.P. de Gyves, Precision-controlled retrieval of qualitative information from databases using hierarchies. Unpublished
  11. Guzman-Arenas, S. Levachkine, Graduated errors in approximate queries using hierarchies and ordered sets. Lecture Notes in Artificial Intelligence , Vol. 2972, Springer-Verlag (2004) 119-128
  12. S. Levachkine, A. Guzman-Arenas, Hierarchies measuring qualitative variables. Lecture Notes in Computer Science , Vol. 2945, Springer-Verlag (2004) 258-270

COGNITIVE SCIENCE

  1. V. Alexandrov, S. Levachkine, Cognitive promptings for semantic-mind analysis and object-oriented data integration of information flows. In: Levachkine, S., Serra, J., Egenhofer, M. (eds.), Proc. Int. Workshop Semantic Processing of Spatial Data (GEOPRO 2003), Research in Computing Science, Vol. 4 (2003) 2-10

COMPUTER SCIENCE

  1. Martinez-Rosales Miguel Alejandro, Serguei Levachkine, Conceptual Model of Dynamic Geographic Environment. Ingenieria Investigacion y Tecnologia, Vol.XV (2014) 163-174
  2. Sergei Levashkin, Victor Alexandrov. K-complexity in the Context of Newest Information Technologies. Information Measurement and Control Systems, Vol.12 (2012) 3-7
  3. Walter Renteria-Agualimpia, Sergei Levashkin, Multi-criteria Geographic Information Retrieval Model Based on Geospatial Semantic Integration. Lecture Notes in Computer Science, Vol.6631 (2011) 166-181
  4. Jose Giovanni Guzman Lugo, Serguei Levachkine, General Algorithm for the Semantic Decomposition of Geo-images. Computacion y Sistemas, Vol.13 (2010) 345-360
  5. Rolando Quintero Tellez, Serguei Levachkine, Semantic Representation of Raster Spatial Data. Computacion y Sistemas, Vol.13 (2010) 449-462
  6. Felix Mata, Serguei Levachkine, iRank: Integral Ranking of Geographical Information by Semantic, Geographic, and Topological Matching. Lecture Notes in Geoinformation and Cartography , Springer-Verlag (2009) 77-92
  7. Marco Moreno-Ibarra, Serguei Levachkine, Miguel Torres, Rolando Quintero, Giovanni Guzmán, Semantic Similarity Applied to Geomorphometric Analysis of Digital Elevation Model. Lecture Notes in Geoinformation and Cartography , Springer-Verlag (2009) 149-163
  8. Miguel Martinez, Serguei Levachkine, Dynamic Models of Geographic Environment using Ontological Relations.Lecture Notes in Geoinformation and Cartography , Springer-Verlag (2009) 165-176
  9. Miguel Torres, Rolando Quintero, Serguei Levachkine, Marco Moreno, Giovanni Guzmán, Geospatial Information Integration Approach Based on Geographic Context Ontologies. Lecture Notes in Geoinformation and Cartography , Springer-Verlag (2009) 177-191
  10. Miguel Torres, Serguei Levachkine, Ontological Representation Based on Semantic Descriptors Applied to Geographic Objects. Computacion y Sistemas, Vol.12 (2009) 356-371
  11. Marco Antonio Moreno Ibarra, Serguei Levachkine, Semantic Similarity between Systems of Geographic Objects Applied to Generalization of Geospatial Data. Computacion y Sistemas, Vol.12 (2008) 232-241
  12. M. Torres, S. Levachkine, R. Quintero, G. Guzman, and M. Moreno, Geospatial information integration based on the conceptualization of geographic domain.16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2008, November 5-7, 2008, Irvine, California, USA, Proceedings. ACM 2008, ISBN 978-1-60558-323-5
  13. M. Torres, R. Quintero, S. Levachkine, M. Moreno, and G. Guzman, Towards a Methodology to Conceptualize the Geographic Domain. Lecture Notes in Computer Science , Vol. 5317, Springer-Verlag (2008) 111-122
  14. G. Guzman, S. Levachkine, M. Torres, R. Quintero, and M. Moreno, Extraction and Specialization of Geo-spatial Objects in Geo-images Using Semantic Compression Algorithm. Lecture Notes in Computer Science , Vol. 5317, Springer-Verlag (2008) 573-584
  15. M. Torres, R. Quintero, S. Levachkine, G. Guzman, and M. Moreno, Retrieving Geospatial Information into a Web-Mapping Application Using Geospatial Ontologies, Lecture Notes in Computer Science , Vol. 4496, Springer-Verlag (2007) 267-277
  16. M. Torres, S. Levachkine, Obtaining Semantic Descriptions based on Conceptual Schemas Embedded into a Geographic Context. Lecture Notes in Geoinformation and Cartography, Springer-Verlag (2007) 209-222
  17. M. Martinez, M. Moreno, M. Torres, and S. Levachkine, Representing the Semantic Content of Topological Relations into Spatial Databases. Lecture Notes in Geoinformation and Cartography, Springer-Verlag (2007) 223-233
  18. V. Montes de Oca, M. Torres, and S. Levachkine, M. Moreno, Spatial Data Description by Means of Knowledge-Based System. Lecture Notes in Computer Science , Vol. 4225, Springer-Verlag (2006) 502-510
  19. M. Torres, G. Guzman, R. Quintero, M. Moreno, and S. Levachkine, Semantic Decomposition of LandSat TM Image. Lecture Notes in Artificial Intelligence, Vol. 4251, Springer-Verlag (2006) 550-558
  20. K. Verastegui, M. Martinez, M. Moreno, S. Levachkine, and M. Torres, Incorporating Semantics into GIS Applications. Lecture Notes in Artificial Intelligence , Vol. 4251, Springer-Verlag (2006) 698-705
  21. S. Levachkine, E. Gonzalez, M. Torres, M. Moreno, and R. Quintero, Knowledge-based system for color maps recognition. Lecture Notes in Computer Science , Vol. 3681, Springer-Verlag (2005) 297-303
  22. M. Torres, G. Guzman, M. Moreno, R. Quintero, and S. Levachkine, Semantic supervised clustering for land classification in geo-images. Lecture Notes in Computer Science , Vol. 3683, Springer-Verlag (2005) 248-254
  23. M. Moreno, S. Levachkine, M. Torres, R. Quintero, and G. Guzman, Automatic geomorphometric analysis for digital elevation models. Lecture Notes in Computer Science , Vol. 3684, Springer-Verlag (2005) 374-381
  24. R. Quintero, S. Levachkine, M. Torres, and M. Moreno, Managing resolution in digital elevation models using image processing techniques. Lecture Notes in Computer Science , Vol. 3522, Springer-Verlag (2005) 316-324
  25. E. Gonzalez-Gomez, S. Levachkine, Color cartographic pattern recognition using the coarse to fine scale method. Lecture Notes in Computer Science , Vol. 3287, Springer-Verlag (2004) 540-547
  26. R. Quintero, S. Levachkine, M. Torres, and M. Moreno, Skeleton-based algorithm for increasing spectral resolution in Digital Elevation Models (DEM). Lecture Notes in Computer Science , Vol. 3287, Springer-Verlag (2004) 558-565
  27. M. Moreno, S. Levachkine, M. Torres, and R. Quintero, Landform classification in raster geo-images. Lecture Notes in Computer Science , Vol. 3287, Springer-Verlag (2004) 566-573
  28. M. Torres, S. Levachkine, M. Moreno, R. Quintero, and G. Guzman, Implementing Spatial Analyzer Module into a Distributed GIS-Application. Lecture Notes in Computer Science , Vol. 3183, Springer-Verlag (2004) 406-409 
  29. S. Levachkine, M. Torres, M. Moreno, and R. Quintero, Knowledge-based method to recognize objects in geo-images. Lecture Notes in Artificial Intelligence , Vol. 3215, Springer-Verlag (2004) 718-725
  30. S. Levachkine, Raster to vector conversion of color cartographic maps. Lecture Notes in Computer Science , Vol. 3088, Springer-Verlag (2004) 49-60
  31. A. Velazquez, S. Levachkine, Text/graphics separation and recognition in raster-scanned color cartographic maps. Lecture Notes in Computer Science , Vol. 3088, Springer-Verlag (2004) 61-72
  32. A. Gelbukh, S. Levachkine, and Sang Young Han, Resolving ambiguities in toponym recognition in raster-scanned cartographic maps. Lecture Notes in Computer Science , Vol. 3088, Springer-Verlag (2004) 73-84
  33. S. Levachkine, M. Torres, M. Moreno, and R. Quintero, Simultaneous segmentation-recognition-vectorization of meaningful geographical objects in color geo-images. Lecture Notes in Computer Science , Vol. 2905, Springer-Verlag (2003) 635-642
  34. M. Moreno, S. Levachkine, M. Torres, and R. Quintero, Geomorphometric analysis of raster image data to detect terrain ruggedness and drainage density. Lecture Notes in Computer Science , Vol. 2905, Springer-Verlag (2003) 643-650
  35. S. Levachkine, M. Torres, and M. Moreno,. Intelligent segmentation of color geo-images. Proc. IEEE International Geosciences and Remote Sensing Symposium (IGARSS 2003), July 21-25, 2003, Toulouse , France
  36. M. Torres, M. Moreno, and S. Levachkine, Designing spatial analyzer module in a distributed geographical environment. Proc. IEEE International Geosciences and Remote Sensing Symposium (IGARSS 2003), July 21-25, 2003, Toulouse , France
  37. M. Torres, M. Moreno, R. Menchaca, and S. Levachkine, Making spatial analysis with a distributed Geographic Information System. Proc. 21st IASTED International Multi-Conference Applied Informatics (AI 2003), 214-219, February 10-13, 2003, Innsbruck , Austria
  38. S. Levachkine, A. Velazquez, V. Alexandrov, and M. Kharinov, Semantic analysis and recognition of raster-scanned color cartographic images. Lecture Notes in Computer Science , Vol. 2390, Springer-Verlag (2002) 178-189
  39. A. Velazquez, H. Sossa, and S. Levachkine, On the segmentation of color cartographic images. Lecture Notes in Computer Science , Vol. 2396, Springer-Verlag (2002) 387-395
  40. M. Moreno, M. Torres, S. Levachkine, and I. Fajardo, Automatic generalization of the multi-scale geographic information. Proc. 22nd ESRI International User Conference , 8-12 July 2002, San Diego , CA , USA
  41. M. Torres, S. Levachkine, B. Martinez, and M. Moreno. CEGT: Converter from elevation technology data to virtual reality environment. Proc. 5th AGILE Conference on Geographic Information Science (AGILE 2002) 607-616, 25-27 April 2002, Palma de Mallorca , Spain
  42. V. Alexandrov, M. Kharinov, and S. Levachkine, Conception of hierarchical dynamic structure in application to audio and video data recognition. Proc. IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2001) 348-353, May 21-24 2001, Cancun , Mexico
  43. S. Levachkine, J. Sossa. Image segmentation as an optimization problem. Computacion y Sistemas , Vol. 3, No. 4. (2000) 245-263

MATHEMATICS

  1. S.P. Levashkin. Unimprovable estimates of derivatives of solutions of the Dirichlet problem for biharmonic equation in bounded domains. Mathematical Notes , Vol. 55. (1995) 80-89
  2. S.P. Levashkin. Continuity at the boundary point of solutions to the Dirichlet problem for Navier-Stokes equations in nonsmooth domains.  Differential Equations , Vol. 29. (1995) 894-902
  3. S.P. Levashkin. Navier-Stokes flow near critical points and turbulence. Proc. International Congress of Mathematicians (ICM 1994), August 1-8, 1994, Zurich, Switzerland
  4. S.P. Levashkin. On the asymptotic properties of generalized solutions of Dirichlet's problem for a polyharmonic equation, Navier-Stokes equation and von Karman systems in non-smooth domains. Russian Mathematical Surveys , Vol. 44(5). (1989) 208-299

RECENTLY FUNDED RESEARCH GRANTS AND FELLOWSHIPS

2009-2014

2011-2012

2008

2007

2006

2004-2005

2003

2002

1999-2001

1997-1998

1995-1996

HONORS AND AWARDS

KEYNOTE ADDRESSES AND INVITED CONFERENCE TALKS

INVITED LECTURES, VISITS, SEMINARS, COLLABORATIONS

SEMINARS AND TUTORIALS

Ph.D. AND MASTER'S COMMITTEES

Advisor on Completed Graduate Degrees:

Advisor Ongoing Graduate Degrees:

Committee Member on Completed Graduate Degrees (selected):

Summer Study Tutor Undergraduate Provincial Students Research Teams (Mexican National Council for Science and Technology-Mexican Academy of Sciences Joint Program):

 

C. TEACHING ACTIVITIES

TEACHING PHILOSOPHY

My teaching philosophy is student-centered and oriented to provide simple and clear ideas of the course to an average student. I use a number of complementary approaches in my presentations, such as writing on slides, drawing schemes and figures, classifying different cases and types, using analogies, simplifying arguments, etc. I introduce several state-of-the art technologies such as real-time simulators, quick-time movies, interactive web surveys, and modeling examples during lecture hours and beyond.
     My role as an instructor is to develop, adopt, and implement the course program, to give a series of lectures, to supervise performance of teaching assistants, to prepare home assignments, tests, and exam papers, to maintain web pages of the course, and to handle student questions and problems. I pay special attention to the web-based form of the educational program, interactive lecture notes, interactive simulation software, online grade keeping software, and interactive student research projects. The idea is to stay in frequent touch with my students. This teaching approach produces favorable feedback.
     I give individual attention to students during office hours and beyond. My experience shows that the students' development is variable and that students can reach a high level of performance due to the teacher's involvement. I also encourage students to approach advanced problems, which I post on web pages, designed for this purpose. These problems help to define the student research. I consider my teaching goals accomplished if the majority of students reach a clear comprehension of the course, become used to solving typical problems and examples, and successfully pass assignments, tests, and exams.
     I enjoy working with students and consider teaching to be an important part of a professor's job. While research papers become subjects of studies of the experts, the teaching materials ought to be clear and understandable to a wide range of undergraduate students. I am sure that teaching supports a professor's research as well, encouraging clearer presentations, vivid examples, explanations, and illustrations of his or her ideas. Thanks to my students, my teaching skills are improving year-by-year and I am pleased to see a positive feedback from them in the course evaluation surveys.

COURSES TAUGHT

2007-2014

2005, 2006

2004

2002, 2003, 2004

1999, 2000, 2001

1999, 2000

1998

1997-2004

1994-1997

1983-1994

 

D. ADMINISTRATIVE AND PROFESSIONAL ACTIVITIES


ORGANIZER OF CONFERENCES AND WORKSHOPS

CONFERENCE PROGRAM COMMITTEES (SELECTED)

EDITORIAL BOARDS

BOOK REVIEWER

CCC Colleccion de Ciencias de la Computacion (Fondo Cultural Economico, UNAM-IPN); Selected Works (1997-1998), Centre for Computing Research; Selected Works (1999-2000), Centre for Computing Research; Research in Computing Science (Vol. II, Vol. III, Vol. IV, Vol. V, Vol. VI, Vol. VII, and Vol. XIV), Centre for Computing Research (Mexico); All-Soviet Union Institute for Scientific and Technical Information (VINITI): Advances in Mathematics, Informatics, and Cybernetics (Russia); ACTA Press

ARTICLE REVIEWER

Pattern Recognition Letters; Pattern Recognition; Elsevier Artificial Intelligence; Springer-Verlag Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, Lecture Notes in Biological Information; IEEE; ACM; IAPR; IASTED.
 

STANDING SCIENTIFIC COMMITTEES AND ASSOCIATIONS

Committees:

Associations:

UNIVERSITY CAMPUS COMMITTEES

PANELIST OR SITE VISIT TEAM MEMBER

George Washington University (GWU), USA ; Mexican National Council for Science and Technology (CONACYT); Mexican National Association of Universities and Superior Schools (ANUIES), Mexico ; Mexican Petroleum Institute (IMP).

EXTERNAL REVIEWER OF TENURE AND PROMOTION CASE

Mexican Petroleum Institute (IMP)

EXTERNAL REVIEWER OF UNIVERSITY PROGRAMS

Program in Applied Math and Computing (PIMAYC), Mexican Petroleum Institute (IMP)

E. REFERENCES

Available upon request

 

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