Dr Iryna Yevseyeva

Iryna Yevseyeva is a Senior Lecturer in Computer Science and Cyber Security and Programme Leader for BSc in Cyber Security and Digital Forensics at the Faculty of Computing, Engineering and Media, School of Computer Science and Informatics. Her research interests are in multi-criteria decision analysis and multiobjective optimisation, and their application in various domains including security, manufacturing, health care and chemo-informatics. At the De Montfort University, Iryna belongs to the Cyber Technology Institute, Cyber Security Centre and works on cyber security decision making and human aspect of cyber security.
Before joining De Montfort she was a leading research associate in the Choice Architecture for Information Security project at the Centre for Cybercrime and Computer Security, School of Computing Science, Newcastle University, UK. This project was also a part of Research Institute in Science of Cyber Security. Earlier Iryna did several post-docs in the Netherlands (at the University of Leiden working on portfolio drug discovery with multicriteria optimisation) and Portugal (at the Polytechnic Institute of Leiria working on spam filtering optimisation, at INESC Porto working on multiobjective scheduling and at the University of Algarve developing a portfolio selection evolutionary algorithm).
Iryna obtained her PhD in Finland at the University of Jyvaskyla for her work on multicriteria decision aiding algorithms for classification. She has (co-) authored > 40 peer reviewed research publications, participated in 10 research projects and obtained >10 small grants as PI and 2 as Co-I. She supervised 2 PhD and >15 MSc students till successfull completion and currently (co-)supervising 6 PhD students. She has experience of helping managing a large EPSRC grant.

Cyber Technology Institute / Cyber Security Centre

Multicriteria decision analysis/aiding, multiobjective optimisation, security decision making, human aspects of cyber security, operational research, security, non-standard applications of portfolio theory.

Research expertise:
Multi-criteria decision analysis and multiobjective optimisation and their application in various domains including security, manufacturing, health care and chemo-informatics.

Operational Research, Optimisation, Cyber Security, Computer Science

IMAT3226 Nonlinear optimisation

IMAT3225 Multicriteria Analysis

IMAT3203 Advanced Operational Research

CTEC3751 Advanced Topics in Security

IMAT1214 Business Technology

CTEC0701 Problem Solving and Programming

2018 DMU Commercialisation award, De Montfort University. December 2018.

Research on “Explicit decision making for evolutionary multiobjective optimization” was funded by half-year grant from Academy of Finland and half-year grant from European Commission Erasmus Mundus in 2008.

Scientific Committee of “IV Seminar on Scientific and Technology Training”, 17/Jun/2016, Unijuí University, Rio Grande do Sul, Brazil. 

European Working Group in Multicriteria Decision Aiding (EWG MCDA), since 2005 www.inescc.pt/~ewgmcda;

International Society on Multiple Criteria Decision Making, since 2005 http://www.mcdmsociety.org/;

European Operations Research Society (EURO), since 2005 www.euro-online.org.

Lorentz Center on MACODA: Many Criteria Optimization and Decision Analysis, Leiden, The Netherlands, 16-20 September, 2019  

http://www.lorentzcenter.nl/lc/web/2019/1160/info.php3?wsid=1160&venue=Oort

EURO2018 – 29th European Conference on Operational Research, Valencia, Spain, 8-11 July, 2018. http://euro2018valencia.com/

CENTERIS 2017: International Conference on ENTERprise Information Systems, Barcelona, Spain, 8-7.11.2017, http://centeris.eiswatch.org/

EMO 2017: Evolutionary Multi-Criterion Optimization: 9th International Conference, Münster, Germany, March 19-22, 2017, http://www.emo2017.org/

Multicriteria Decision Analysis and Optimization for Computational Chemistry and Drug Discovery. Tutorial at the IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB) 23.08.2017, Manchester, UK, http://cibcb2017.org/, together with Michael Emmerich.

Evans M., He Y., Yevseyeva I, Janicke H. Published incidents and their proportions of human error, Information and Computer Security (accepted) https://www.dora.dmu.ac.uk/xmlui/handle/2086/17640

Ruano-Ordás D., Yevseyeva I., Basto-Fernandes V., Mendez J.R., Emmerich M.T.M., Improving the drug discovery process by using multiple classifier systems, Expert Systems With Applications, 2019, vol. 121, pp. 292-303,  https://www.dora.dmu.ac.uk/xmlui/handle/2086/17599, https://doi.org/10.1016/j.eswa.2018.12.032

Hadlington L., Popovac M., Jones K., Yevseyeva I., Janicke H., Exploring the role of work identity and work locus of control in information security awareness, Computers & Security, 2019, vol. 81, pp. 41-48, https://www.dora.dmu.ac.uk/xmlui/handle/2086/16790, https://doi.org/10.1016/j.cose.2018.10.006 

Yevseyeva I, Lenselink E.B., de Vries A., IJzerman A.P., Back T., A.H. Deutz, Emmerich M.T.M., Application of portfolio optimization to drug discovery, Information Sciences, February 2019, vol. 475, pp. 29-43, https://www.dora.dmu.ac.uk/xmlui/handle/2086/16696, https://doi.org/10.1016/j.ins.2018.09.049

Evans M., He Y., Yevseyeva I., Janicke H. Analysis of published public sector information security incidents and breaches to establish proportions of human error. International Symposium on Human Aspects of Information Security & Assurance (HAISA) 2018, General Cybersecurity Conference, August 29 - 31, 2018, Dundee, United Kingdom, https://www.dora.dmu.ac.uk/xmlui/handle/2086/17168.

Zhao J., Jiao L., Basto-Fernandes V., Yevseyeva I., Zhou Y., Emmerich M.T.M. Multiobjective Sparse Ensemble Learning by Means of Evolutionary Algorithms, Decision Support Systems, July 2018, vol. 111, pp. 86-100, https://www.dora.dmu.ac.uk/xmlui/handle/2086/16397, https://doi.org/10.1016/j.dss.2018.05.003

Zhao J., Jiao L., Liu, F. Basto-Fernandes V., Yevseyeva I., Xia S., Emmerich M.T.M. 3-D fast convex hull based evolutionary multiobjective optimization algorithm, Applied Soft Computing, June 2018, vol. 67, pp. 322-336, https://www.dora.dmu.ac.uk/xmlui/handle/2086/15932, https://doi.org/10.1016/j.asoc.2018.03.005

Basto-Fernandes V., Yevseyeva I., Ruano-Ordas D., Zhao J., Fernandez-Riverola F., Mendez J.R., Emmerich M.T.M. Quadcriteria optimization of binary classifiers: error rates, coverage, and complexity. Tantar AA., Tantar E., Emmerich M., Legrand P., Alboaie L., Luchian H. (eds) EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI. Advances in Intelligent Systems and Computing, vol 674. Springer, Cham, pp. 37-49. November 2017, https://www.dora.dmu.ac.uk/xmlui/handle/2086/15949, https://doi.org/10.1007/978-3-319-69710-9_3

Basto-Fernandes V., Yevseyeva I., Emmerich M.T.M. A Survey of diversity oriented optimization: problems, indicators, and algorithms. EVOLVE – A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation, In: Emmerich M.T.M., Deutz A., Schuetze O., Bäck T., Tantar E., Tantar A.-A., Del Moral P., Legrand P., Bouvry P., Coello Coello C.A., Studies in Computational Intelligence series, Springer, April 2017, pp. 3-23, https://www.dora.dmu.ac.uk/xmlui/handle/2086/15667, https://doi.org/10.1007/978-3-319-49325-1_1

Roldán-Molina G., Almache-Cueva M., Silva-Rabadão C., Yevseyeva I., Basto-Fernandes V. A comparison of cybersecurity risk analysis tools. CENTERIS’17, 9th Conference of ENTERprise Information Systems, Procedia Computer Science, vol 121, 2017, pp. 568-575, doi: https://www.dora.dmu.ac.uk/xmlui/handle/2086/15669, https://doi.org/10.1016/j.procs.2017.11.075

Roldán-Molina G., Almache-Cueva M., Silva-Rabadão C., Yevseyeva I., Basto-Fernandes V. A decision support system for corporations cybersecurity management. In Proceedings of IEEE 12th Iberian Conference on Information Systems and Technologies, CISTI'2017, 21-24 June 2017, Lisbon, Portugal. IEEE, https://www.dora.dmu.ac.uk/xmlui/handle/2086/15670, http://ieeexplore.ieee.org/document/7975826/

Liu L.-Y., Basto-Fernandes V., Yevseyeva I., Kok J., Emmerich M. Indicator-based evolutionary level set approximation: mixed mutation strategy and extended analysis. In: Ferrández Vicente J., Álvarez-Sánchez J., de la Paz López F., Toledo Moreo J., Adeli H. (eds.) Natural and Artificial Computation for Biomedicine and Neuroscience. Proceedings of the 7^th International Work-Conference on the Interplay between Natural and Artificial Computation. IWINAC2017, La Coruna, Spain 19-23 June, 2017. Lecture Notes in Computer Science, vol 10337, pages 146-156, 2017, https://www.dora.dmu.ac.uk/xmlui/handle/2086/15961, https://doi.org/10.1007/978-3-319-59740-9_15

Ruano-Ordás D., Basto-Fernandes V., Yevseyeva I., Mendez J.R., Evolutionary multi-objective scheduling for anti-spam filtering throughput optimization. In: Martínez de Pisón F.J., Urraca R., Quintián H., Corchado E. Hybrid Artificial Intelligent Systems, HAIS2017, Le Rjoha, Spain, June 21-23, Lecture Notes on Artificial Intelligence, vol. 10334, Springer, pages 137-148, 2017, https://www.dora.dmu.ac.uk/xmlui/handle/2086/15697, https://doi.org/10.1007/978-3-319-59650-1_12

Li L., Yevseyeva I., Basto-Fernandes V., Trautmann H., Jing N., Emmerich M. (2017) Building and using an ontology of preference-based multiobjective evolutionary algorithms. In: Trautmann H. et al. (eds) Proceedings of Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017. Lecture Notes in Computer Science, vol 10173. Springer, Cham. pp 406-421, https://www.dora.dmu.ac.uk/xmlui/handle/2086/13996, https://doi.org/10.1007/978-3-319-54157-0_28

Yevseyeva I, Lenselink E.B., de Vries A., IJzerman A.P., Back T., A.H. Deutz, Emmerich M.T.M., Application of portfolio optimization to drug discovery, Information Sciences, February 2019, vol. 475, pp. 29-43, https://www.dora.dmu.ac.uk/xmlui/handle/2086/16696, https://doi.org/10.1016/j.ins.2018.09.049

Zhao J., Jiao L., Liu, F. Basto-Fernandes V., Yevseyeva I., Xia S., Emmerich M.T.M. 3-D fast convex hull based evolutionary multiobjective optimization algorithm, Applied Soft Computing, June 2018, vol. 67, pp. 322-336, https://www.dora.dmu.ac.uk/xmlui/handle/2086/15932, https://doi.org/10.1016/j.asoc.2018.03.005

Yevseyeva I., Morisset C., van Moorsel A. Modeling and analysis of influence power for information security decisions. Performance Evaluation, April 2016, vol. 98, pp. 36-51, https://www.dora.dmu.ac.uk/xmlui/handle/2086/12089, https://doi.org/10.1016/j.peva.2016.01.003

Basto-Fernandes V., Yevseyeva I., Mendez J.R., Zhao J., Fdez-Riverola F. Emmerich M.T.M., A spam filtering mult-iobjective optimization study covering parsimony maximization and three-way classification, Applied Soft Computing. 2016, vol 48, pp. 111-123, https://www.dora.dmu.ac.uk/xmlui/handle/2086/12477, https://doi.org/10.1016/j.asoc.2016.06.043 

Yevseyeva I., Basto-Fernandes V., van Moorsel, Janicke H., Emmerich M.T.M. Two-stage security controls selection. CENTERIS’16, 8th Conference of ENTERprise Information Systems, Procedia Computer Science, Volume 100, 2016, pages 971-978, https://www.dora.dmu.ac.uk/xmlui/handle/2086/13508, http://dx.doi.org/10.1016/j.procs.2016.09.261

Emmerich M.T.M., Deutz A., Li L., Maulana A., Yevseyeva I., Maximizing Consensus in Portfolio Selection in Multicriteria Group Decision Making. CENTERIS’16, 8th Conference of ENTERprise Information Systems, Procedia Computer Science, Volume 100, pages 848-855, https://www.dora.dmu.ac.uk/xmlui/handle/2086/13510, http://dx.doi.org/10.1016/j.procs.2016.09.234

Yevseyeva I., Turland J., Morisset C., Coventry L., Gross T., Laing C., van Moorsel A. Addressing consumerisation of IT risks with nudging. International Journal of Information Systems and Project Management. September 2015, vol. 3, N. 3, pp. 5-22, https://www.dora.dmu.ac.uk/xmlui/handle/2086/12060, http://www.sciencesphere.org/ijispm/archive/ijispm-0303.pdf.

Yevseyeva I., Guerreiro A.P., Emmerich M.T.M., Fonseca C.M. A portfolio optimization approach to selection in multiobjective evolutionary algorithms, In T. Bartz-Beielstein, J. Branke, B. Filipič, J. Smith (Eds.) “Parallel Problem Solving from Nature – PPSN XIII”, Ser. LNCS (vol. 8672), Springer, 2014, pp. 672-351, https://www.dora.dmu.ac.uk/xmlui/handle/2086/13919, https://doi.org/10.1007/978-3-319-10762-2_66

Yevseyeva I., Basto-Fernandes V., Ruano-Ordás D., Mendez J.R. Optimizing anti-spam filters with evolutionary algorithms. Expert Systems with Applications. August 2013, vol. 40, N. 10, pp. 4010-4021, https://www.dora.dmu.ac.uk/xmlui/handle/2086/13001, http://dx.doi.org/10.1016/j.eswa.2013.01.008

Yevseyeva I., Miettinen K., Rasanen P., Verbal ordinal classification with multicriteria decision aiding. European Journal of Operational Research, 2008, vol. 185, pp. 964-983, http://dx.doi.org/10.1016/j.ejor.2006.03.058.

Giddeon Angafor, PhD, 1st supervisor;

Maysa Hashemi Tabar, PhD, 1st supervisor;

Mark Evans. PhD, 2nd supervisor;

Mishael, Qadri Izzat Mohammad, PhD, 2nd supervisor;

Fernando Bothalage Suranga Menaka, PhD, 2nd supervisor;

Paul Isaac’s, PhD, 2nd supervisor.

Sadir Fadhil, PhD, 2nd supervisor (completed in 2018)

Richard Reece, PhD, 2nd supervisor (completed in 2017)

Guest Editor of Special Issue of Natural Computing journal on “Stochastic and Deterministic Methods for Multi-Criterion Optimization”, Springer.

Guest Editor of Special Issue of Journal of Global Optimisation for “LeGO2018 Global Optimisation”, Springer.

Workshop organizer: International Workshop on Global Optimization (LeGO) 2018 - 14th Int. Workshop on Global Optimization, Leiden, The Netherlands, 18-21.09.2018. A Special Track & Tutorials on Multiobjective Global Optimization, organizer. http://moda.liacs.nl/LeGO.

Multiobjective Portfolio Optimization and Multicriteria Optimization for Portfolio and Subset Selection, 2 sessions organizer within Multiobjective Optimization stream in EURO2018, 29^th European Conference on Operational Research, Valencia, Spain, 8-11 July, 2018. http://euro2018valencia.com/

Mathematical Modelling Applied to Problem Solving in Engineering” Books Collection, an initiative of the Graduate Program in Mathematical Modelling at Unijuí in association with the Unijuí University Press (a 25 years old editor with over 600 published titles), member of the Editorial Board, since Mar/2016.

Reviewer for journals: European Journal of Operational Research (since 2008), Journal of Multi-Criteria Decision Analysis (since 2013), Environment Systems and Decisions (since 2015), PLOS One (since 2015), Computers & Operations Research (since 2015), Engineering Optimization (since 2016).

A guest member of staff in Applied Computing Research Group, Department of Exact Sciences and Engineering, University Regional of Ijui, Brazil http://www.gca.unijui.edu.br/iyevseyeva/Home

Program committee and reviewer for international conferences: WI 2017, VALUETOOLS 2015, 2016; CENTERIS 2011-2016, EVOLVE 2013, 2015.