проф. д-р Веселка Боева

Преподаване  

· Дискретни структури, II-ра година КСТ.  

· Синтез и анализ на алгоритми, II-ра година КСТ.  

· Информационни и управляващи системи, избираема дисциплина, III-та година КСТ. 

· Функционално програмиране, избираема дисциплина, IV-та година КСТ. 

· Компютърни технологии, избираема дисциплина, IV-та година ИМ, ПГ. 

Научни интереси 

изкуствен интелект, биоинформатика, системи подпомагащи вземането на решения, формални методи в софтуерните системи, системи за локализиране на експерти. 

Специализации 

· Max Planck Institute for Human Development, Center for Adaptive Behavior and Cognition (Berlin, Germany), три месечна научна стипендия на DAAD (German Academic Exchange Service)(October 2009-December 2009). 

· Department of Plant Systems Biology, Flanders Institute for Biotechnology, University of Ghent, (Ghent, Belgium), шест месечна пост-докторска стипендия на BFSPO (Belgian Federal Science Policy Office) (October 2005 – December 2005, May 2006 – July 2006). 

· Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Belgium, три месечна пост-докторска стипендия на NATO (October 2003 – December 2003). 

· Department of Computer and System Sciences, Stockholm University and KTH, Sweden, девет месечна пост-докторска стипендия на Шведския институт (October 2001 – June 2002). 

· Department of Mathematics, Slovak Technical University, Bratislava, Slovakia, три месечна научна стипендия на Българското министерство на образованието (January 2001 – March 2001). 

Избрани публикации 

Глави в книги 

V. Boeva, L. Boneva, E. Tsiporkova. Semantic-aware Expert Partitioning.. G. Agre et al. (Eds.): Artificial Intelligence: Methodology, Systems, and Applications – AIMSA 2014, LNAI 8722, 13-24. Springer International Publishing Switzerland (2014).  

V. Boeva, E. Tsiporkova and E. Kostadinova. Analysis of Multiple DNA Microarray Datasets. N. Kasabov (Ed.): Springer Handbook of Bio-/ Neuroinformatics, Part C Machine-Learning Methods (Eds: Irwin King, Kaizhu Huang, Heike Sichtig), Chap. 14, 223-234, Springer DE, Springer (2013). 

A. Hristoskova, V. Boeva, E. Tsiporkova. An Integrative Clustering Approach Combining Particle Swarm Optimization and Formal Concept Analysis. C.Bohm et al. (Eds.): Information Technology in Bio- and Medical Informatics – ITBAM 2012, Springer, Lecture Notes in Computer Science 7451, 84 -98 Springer-Verlag Berlin Heidelberg (2012).  

E. Kostadinova, V. Boeva and N. Lavesson. Clustering of Multiple Microarray Experiments Using Information Integration. C.Bohm et al. (Eds.): Information Technology in Bio- and Medical Informatics – ITBAM 2011, Lecture Notes in Computer Science 6865, 123-137 Springer-Verlag Berlin Heidelberg (2011). 

V. Boeva and E. Kostadinova. An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets. D. Dicheva and D. Dochev (Eds.): Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science 6304, 221-230. Springer-Verlag Berlin Heidelberg (2010). 

Data Standardization: V. Boeva and E. Tsiporkova (2010). A Multi-purpose Time Series Data Standardization Method. V. Sgurev, M. Hadjiski, J. Kacprzyk (Eds.): Intelligent Systems: From Theory to Practice, SCI 299, 445–460. Springer-Verlag Berlin Heidelberg (2010).  

V. Boeva and E. Tsiporkova, A Novel Adaptive Multiple Imputation Algorithm. M. Elloumi et al. (Eds.): Bioinformatics Research and Development, Communications in Computer and Information Science, 13 (2008) 193-206. Springer-Verlag Berlin Heidelberg. 

E. Tsiporkova and V. Boeva, Modelling and Simulation of the Genetic Phenomena of Additivity and Dominance via Gene Networks of Parallel Aggregation Processes, S. Hochreiter and R. Wagner (Eds.):Bioinformatics Research and Development, Lecture Notes in Bioinformatics 4414 (2007) 199-211 (Springer-Verlag Berlin Heidelberg 2007). 

V. Boeva, E. Tsiporkova and B. De Baets, Modelling Uncertainty with Kripke’s Semantics, F. Giunchiglia (Ed.): Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science, Springer Verlag 1480 (1998) 129-140.  

Статии в списания 

B. Shao, N. Lavesson, V. Boeva and R.M. Khurram. A Mixture-of-Experts Approach for Gene Regulatory Network Inference, International Journal of Data Mining and Bioinformatics 14 3 (2016). 

A. Hristoskova, V. Boeva and E. Tsiporkova. A Formal Concept Analysis Approach to Consensus Clustering of Multi-Experiment Expression Data, BMC Bioinformatics 2014, 15:151. 

A. Borg, M. Boldt, N. Lavesson, U. Melander, V. Boeva, Detecting Serial Residential Burglaries using Minimum Cut Clustering, Expert Systems with Applications – Elsevier 41 11 (2014) 5252-5266. 

V. Boeva, Clustering Approaches for Dealing with Multiple DNA Microarray Datasets, Journal of Computational Science – Elsevier 5 3 (2014) 368-376.  

N. Lavesson, V. Boeva, E. Tsiporkova and P. Davidsson. A Method for Evaluation of Learning Components, Automated Software Engineering Journal (2014) 21(1): 41-63.  

Data Integration: E. Tsiporkova and V. Boeva. Fusing Time Series Expression Data through Hybrid Aggregation and Hierarchical Merge. Bioinformatics (2008) 24(16): i63-i69. 

DTWimpute: E. Tsiporkova and V. Boeva, Two-pass imputation algorithm for missing value estimation in gene expression time series. Journal of Bioinformatics and Computational Biology, 5 5 (October 2007), 1005-1022. 

E. Tsiporkova and V. Boeva, Multi-step Ranking of Alternatives in a Multi-criteria and Multi-expert Decision Making Environment, Information Sciences 176 18 (2006) 2673-2697. 

N. Kasabov and V. Boeva, Bioinformatics: Challenges and Opportunities for Information Science and Knowledge Engineering, Journal of Information Technologies and Control, published by the Bulgarian Union of Automatics and Informatics, 4 11-18 (2005).  

V. Boeva, B. De Baets and E. Tsiporkova, Ranking of Admissible Alternatives in Interval Decision Making, Int. Journal of Systems Science, Special Issue ”Contemporary Intelligent Systems” (V. Jotsov ed.) 36 14 (2005) 897-907.  

V. Boeva and L. Ekenberg, A Transition Logic for Schemata Conflicts, Data & Knowledge Engineering 51 3 (2004) 277-294.  

E. Tsiporkova and V. Boeva, Nonparametric Recursive Aggregation Process, Kybernetika, The Journal of the Czech Society for Cybernetics and Information Sciences, 40 1 51-70 (2004).  

E. Tsiporkova, B. De Baets and V. Boeva, Evidence Theory in Multivalued Models of Modal Logic, International Journal of Applied Non-Classical Logics 10 1 55-81 (2000).  

E. Tsiporkova, V. Boeva and B. De Baets, Evidence Measures Induced by Kripke’s Accessibility Relations, Int. Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 7 6 (1999) 589-613.  

E. Tsiporkova, V. Boeva and B. De Baets, Dempster-Shafer Theory Framed in Modal Logic, International Journal of Approximate Reasoning 21 2 (1999) 157-175.  

E. Tsiporkova, B. De Baets and V. Boeva, Dempster’s Rule of Conditioning Translated into Modal Logic, Fuzzy Sets and Systems, Special Issue ”Fuzzy Measures and Integrals” (R. Mesiar and E. Pap, eds.) 102 (1999) 371-383.  

Участия в конференции 

V. Boeva, M. Angelova, E. Tsiporkova. Data-Driven Techniques for Expert Finding. 9th International Conference on Agents and Artificial Intelligence ICAART 2017 (Porto, Portugal, February 24-26, 2017), in press. 

V. Boeva, M. Angelova, L. Boneva, E. Tsiporkova. Identifying a Group of Subject Experts Using Formal Concept Analysis. The 8th IEEE International Conference on Intelligent Systems IS 2016 (Sofia, Bulgaria, September 4-6, 2016), 464-469. 

S. Mikolajczak, T. Ruette, E. Tsiporkova, M. Angelova, V. Boeva. A Semantic Reasoning Engine for Lifestyle Profiling in Support of Personalised Coaching. The Fourth International Conference on Global Health Challenges, GLOBAL HEALTH 2015 (Nice, France, July 19-24, 2015) 79-83. 

E. Kostadinova, V. Boeva, L. Boneva, E. Tsiporkova. An Integrative DTW-based Imputation Method for Gene Expression Time Series Data, The 6th IEEE International Conference on Intelligent Systems (Sofia, Bulgaria, 6-8 September 2012) IS 2012, 258-263. 

V. Boeva, M. Krusheva, E. Tsiporkova, Measuring Expertise Similarity in Expert Networks, The 6th IEEE International Conference on Intelligent Systems (Sofia, Bulgaria, 6-8 September 2012) IS 2012, 53-57. 

V. Boeva, A. Hristoskova, E. Tsiporkova, Clustering of Multiple DNA Microarrays through Combination of Particle Swarm Intelligence and K-means. The 6th International Conference on Computational Intelligence and Bioinformatics (Pittsburgh, USA, November 7-9, 2011), CIB 2011. 

E. Tsiporkova, V. Boeva and E. Kostadinova, Map-Reduce and FCA Approach for Clustering of Multiple-Experiment Data Compendium. The 23rd Benelux Conference on Artificial Intelligence, BNAIC 2011. 

V. Boeva, E. Kostadinova and M. Krusheva, An Approach for Extended Clustering Analysis of Gene Expression Data. In: Proc. of International Conference AUTOMATICS & INFORMATICS 2011. 

V. Boeva, P. Ivanova and N. Lavesson. A Hybrid Computational Method for the Identification of Cell Cycle-regulated Genes. In: Proc. of IS’10, The Fifth IEEE International Conference on Intelligent Systems IS’10 (London, UK, July 7-9, 2010), 390-395. 

E. Tsiporkova, T. Tourwe and V. Boeva. A Collaborative Decision Support Platform for Product Release Definition. In: Proc. of The Fifth International Conference on Internet and Web Applications and Services ICIW 2010 (Barcelona, Spain, May 9 – 15, 2010), 351-356. 

V. Boeva and E. Kostadinova. A Hybrid DTW based Method for Integration Analysis of Time Series Data. In: Proc. of 2009 International Conference on Adaptive and Intelligent Systems – ICAIS’09 (Klagenfurt, Austria, September 24-26, 2009), 49-54. 

E. Tsiporkova and V. Boeva. A novel gene-centric clustering algorithm for standardization of time series expression data. In: Proceedings of IS’2008, (R. Yager, V. Sgurev and V. Jotsov, eds.) The Forth IEEE International Conference on Intelligent Systems IS’2008: Methodology, Models, Applications in Emerging Technologies (Varna, Bulgaria, September 6-8, 2008), vol II, 12 8-13. 

E. Tsiporkova and V. Boeva, Dynamic Time Warping Techniques for Missing Value Estimation in Gene Expression Time Series. In: Proceedings of BENELEARN’2006, The Fifteenth Dutch-Belgium Conference on Machine Learning (Ghent, Belgium, May 11-12, 2006), 97-104. 

V. Boeva and B. De Baets, A New Approach to Admissible Alternatives in Interval Decision Making, In: Proceedings of IS’2004, (R. Yager and V. Sgurev, eds.) The Second Int. IEEE Conference “Intelligent Systems” (June 22-24, 2004, Varna, Bulgaria) Vol. I 110-115.  

E. Tsiporkova and V. Boeva, Multilayer Aggregation Operators, In: Proceedings of AGOP’2003, Int. Summer School on Aggregation Operators and Their Applications (July 14-18, 2003, Alcala de Henares, Madrid, Spain) 165-170.  

V. Boeva and L. Ekenberg, Decision Analysis Based on Kripke’s Semantics, In: Proceedings of IS’2002, The First Int. IEEE Symposium “Intelligent Systems” (September 10-12, 2002, Varna, Bulgaria) Vol. I 154-159.  

V. Boeva, Dempster’s Rule of Combination in Modal Logic, In: Proceedings of ISIPTA’01, (G. De Cooman, T. L. Fine and T. Seidenfeld, eds.) The Second Int. Symposium on Imprecise Probabilities and Their Applications (June 26-29, 2001, Ithaca, New York), Shaker Publishing, Maastricht 62-67 (2001).  

V. Boeva, E. Tsiporkova and B. De Baets, Evidence Measures Induced by Kripke Models, In: Proceedings of ISIPTA’99, The First Int. Symposium on Imprecise Probabilities and Their Applications (June 30-July 2, 1999, Ghent, Belgium) 44-50.