search button

    Close window

      Close window

      Latest updates on COVID-19 (Coronavirus)
      Contact
      Share
      Section navigation

      Dr Roman Belavkin

      ROLE: Associate Professor in Informatics
      SCHOOL: Science & Technology
      DEPARTMENT: Computer Science
      TELEPHONE: +44 (0)20 8411 6263
      EMAIL: R.Belavkin@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        Qualifications

        Publications:

        • Belavkin, R. V. (2012). Optimal measures and Markov transition kernels.Journal of Global Optimization. Springer. [DOI: 0.1007/s10898-012-9851-1]
        • Belavkin, R. V. (2011). Mutation and Optimal Search of Sequences in Nested Hamming Spaces. InIEEE Information Theory Workshop[DOI: 10.1109/ITW.2011.6089592]
        • Belavkin, R. V. (in press). Maximal Connectivity and Constraints in the Human Brain. InFields Institute Communications: Workshop on Optimization and Data Analysis in Biomedical Informatics(Vol. 63), American Mathematical Society.
        • Belavkin, R. V., Channon, A., Aston, E., Aston, J., Knight, C. G. (2011). Theory and Practice of Optimal Mutation Rate Control in Hamming Spaces of DNA Sequences. In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo and R. Doursat, eds.Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, MIT Press
        • Channon, A., Aston, E., Day, C., Belavkin, R. V., Knight, C. G. (2011). Critical Mutation Rate Has an Exponential Dependence on Population Size. In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo and R. Doursat, eds.Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, MIT Press
        • Belavkin, R. V. (2011). On Evolution of an Information Dynamic System and its Generating Operator.Optimization Letters. Springer. [DOI: 10.1007/s11590-011-0325-z]
        • Belavkin, R. V. & Huyck, C. R. (2010). Conflict Resolution and Learning Probability Matching in a Neural Cell-Assembly Architecture.Cognitive Systems Research. Elsevier. [DOI: 10.1016/j.cogsys.2010.08.003].
        • Belavkin, R. V. (2010). Utility and value of information in cognitive science, biology and quantum theory. In L. Accardi, W. Freudenberg & M. Ohya (Eds.)Quantum Bio-Informatics III(Vol. 26). World Scientific.
        • Belavkin, R. V. (2010). Information trajectory of optimal learning. In M. J. Hirsch P. M. Pardalos & R. Murphey (Eds.)Dynamics of Information Systems: Theory and Applications(Vol. 40). Springer.
        • Belavkin, R. V. & Huyck, C. R. (2009). A Model of Probability Matching in a Two-Choice Task Based on Stochastic Control of Learning in Neural Cell-Assemblies. InProceedings of the 9th International Conference on Cognitive Modelling. (PDF, 88Kb)
        • Belavkin, R. V. (2009). Bounds of optimal learning. InIEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning(pp. 199--204). Nashville, TN, USA, IEEE (2009). (PDF, 167K)
        • Belavkin, R. V. (2008). The Duality of Utility and Information in Optimally Learning Systems. In 7th IEEE International Conference on 'Cybernetic Intelligent Systems'. Middlesex University, London, UK.
        • Belavkin, R. V. (2008). Information Evolution of Optimal Learning. In PASCAL 2008 Workshop on 'Approximate Inference in Stochastic Processes and Dynamical Systems'. Cumberland Lodge, UK.
        • Belavkin, R. V. (2007). Do Neural Models Scale up to a Human Brain? In Proceedings of The International Joint Conference on Neural Networks. IEEE.
        • Belavkin, R. V. (2006). Towards a Theory of Decision-Making without Paradoxes. In D. Fum, F.D. Missier& A. Stocco (Eds.) Proceedings of the Seventh International Conference on Cognitive Modelling (pp. 38-43). Trieste, Italy: Edizioni Goliardiche (ISBN 88-7873-031-9).
        • Belavkin, R. V. (2005). Acting irrationally to improve performance in stochastic worlds. In M. Bramer, F. Coenen, & T. Allen (Eds.) Proceedings of AI-2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. (Vol. XXII, pp. 305--316). Cambridge: Springer (ISBN 1-84628-225-X) www.cs.mdx.ac.uk/staffpages/rvb/publications/rvb-sgai05.pdf.
        • Belavkin, R. V. (2005). A test for irrational thinking. AISB Quarterly, 122. ISSN 0268-4179.
        • Belavkin, R. V. (2005). Entropy and Information in Models of Learning Behaviour. AISB Quarterly, 119:5. ISBN 0268-4179.
        • Belavkin, R. V. & Ritter, F. E. (2004). OPTIMIST: A New Conflict Resolution Algorithm for ACT--R. In Proceedings of the Sixth International Conference on Cognitive Modelling. USA, (PDF, 477Kb).
        • Belavkin, R. V. (2004). On Relation between Emotion and Entropy. In C.Johnson (Ed.), Proceedings of the AISB'04 Symposium on Emotion, Cognition and Affective Computing (pp. 1--8). Leeds, UK. ISBN 1-902956-36-6 (PDF, 104Kb).
        • Belavkin, R. V. (2003). On Emotion, Learning and Uncertainty: A Cognitive Modelling Approach. PhD Thesis (PDF, 2.17Mb).
        • Belavkin, R. V. (2003). Conflict Resolution by Random Estimated Costs. In D. Al-Dabass (Ed.), Proceedings of 17th European Simulation Multiconference (pp. 105--110). Nottingham, England. ISBN 3-936150-25-7 (PDF 465K).
        • Belavkin, R. V.& Ritter, F. E. (2003). The Use of Entropy for Analysis and Control of Cognitive Models. In F. Detje, D. D\"orner,& H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modelling (pp. 21--26). Bamberg, Germany: Universit\"ats-Verlag Bamberg (PDF, 197K).
        • Belavkin, R. V. (2001). Modelling the Inverted-U Effect in ACT-R. In E. M. Altmann, A. Cleeremans, C. D. Schunn, & W. D. Gray (Eds.), Proceedings of the 2001 Fourth International Conference on Cognitive Modelling (pp. 275--276). Mahwah, New Jersey, London: Lawrence Erlbaum (PDF, 74K).
        • Belavkin, R. V. (2001). The role of emotion in problem solving. In Proceedings of the AISB'01 symposium on Emotion, Cognition and Affective Computing (pp. 49--57). Heslington, York, England (PDF, 715K).

        Languages spoken

        Russian


        Languages Spoken

      • Learning &
        Teaching Interests

      • Research Outputs &
        Interests

        • Dynamics of information
        • Learning, adaptive and evolving systems
        • Duality of utility and information
        • Cognitive science of decision making

        Research Supervision:

         

        Completed PhD students:

        • Dmitri Ioutinski
        • Kailash Nadh

        Director of Studies:

        • Pawel Chwalinski
        • Artemis Parvizi

        Second Supervisor:

        • Fawad Jamshed

        Publication Feed

        Environmental pleiotropy and demographic history direct adaptation under antibiotic selection

        Gifford, Danna R. and Krašovec, Rok and Aston, Elizabeth and Belavkin, Roman V. and Channon, Alastair and Knight, Christopher G. (2018) Environmental pleiotropy and demographic history direct adaptation under antibiotic selection. Heredity . ISSN 0018-067X (Published online first)

        Opposing effects of final population density and stress on Escherichia coli mutation rate

        Krašovec, Rok and Richards, Huw and Gifford, Danna R. and Belavkin, Roman V. and Channon, Alastair and Aston, Elizabeth and McBain, Andrew J. and Knight, Christopher G. (2018) Opposing effects of final population density and stress on Escherichia coli mutation rate. The ISME journal . ISSN 1751-7362 (Published online first)

        Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence

        Belavkin, Roman V. (2018) Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence. In: IGAIA IV 2016: Information Geometry and Its Applications, 12-17 June 2016, Liblice, Czech Republic.

        Critical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover

        Aston, Elizabeth and Channon, Alastair and Belavkin, Roman V. and Gifford, Danna R. and Krašovec, Rok and Knight, Christopher G. (2017) Critical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover. Scientific Reports , 7 (1). ISSN 2045-2322

        Spontaneous mutation rate is a plastic trait associated with population density across domains of life

        Krašovec, Rok and Richards, Huw and Gifford, Danna R. and Hatcher, Charlie and Faulkner, Katy J. and Belavkin, Roman V. and Channon, Alastair and Aston, Elizabeth and McBain, Andrew J. and Knight, Christopher G. (2017) Spontaneous mutation rate is a plastic trait associated with population density across domains of life. PLOS Biology , 15 (8). e2002731. ISSN 1545-7885

        182396

      • Funded Research &
        Knowledge Exchange Projects

      • Engagement &
        Impact

      In this section

      Back to top

      We use Cookies

      View our Privacy and Cookie policy

      Accept