Dr Valentina Plekhanova


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Senior Lecturer in Computer Science

I am a senior lecturer in Computer Science at the University of Sunderland.

I hold an MSc/MPhil in Applied Mathematics and Mechanics from the Novosibirsk University, Academgorodok, Russia.

My PhD is in Application of Computer Technology, Mathematical Modelling and Mathematical Methods in Scientific Research, from the Institute of Information Technologies and Applied Mathematics, Russian Academy of Sciences.  

I came to Sunderland in 2000 from Sydney, Australia where I worked for the Statistical Hydrology Unit, River Management Branch, Department of Water Resources, NSW GovernmentMacquarie University and University of Technology as a researcher/lecturer. In Sydney, I also ran my own consultancy business (P-Quant) in computer science, mathematics and statistics.

Teaching and supervision

I am module leader/developer for the following MSc modules:

  • Research Skills and Academic Literacy 
  • Intelligent Systems for Management 
  • Decision Support for Management 
  • Managing People & Organisational Development 
  • Managing People and Project Leadership 

    Supervision:

    I supervise PhD students in the interdisciplinary areas of Machine Learning, Data Mining, Data Science and Big Data.

    Some recent research projects are relevant to Learning of Noise Web Data, Ant Colony Optimisation, Application of Profile Theory and Association Rule Mining. 

    I supervise MSc Projects for MSc Information Technology Management, MSc Project Management, MSc Engineering Management Programmes.  


Research interests for potential research students

Data Mining, Machine Learning, Data Science, Big Data, Mathematical Modelling. 

I am the author of new mathematical theory - Profile Theory, which has a number of practical applications, in the fields of Business Intelligence; Data Science, Machine Learning, Data Mining, Software/Web Engineering; Computational Intelligence.

If you you are highly motived and have a strong interest in these research areas please feel free to contact me directly to discuss relevant research opportunities.

Research

In 1997 I invented a new mathematical theory - Profile Theory, which has a number of practical applications, e.g. in the fields of Business Intelligence, Data Science, Machine Learning, Data Mining, Software/Web Engineering, Computational Intelligence. In large measure, Profile Theory is designed to address an important class of problems, which are not addressed by the traditional theories (it includes complex systems theories) in which the central issues relate to capability and compatibility problems of complex systems and/or their elements; and determination of complex system structures. The importance of Profile Theory derives from the fact that in the real world such problems are the norm rather than exception.

Key research issues include: analysis and modelling of complex systems where capabilities and compatibilities of their elements are critical factors.
 
Recent Publications:

Julius Onyancha, Valentina Plekhanova, and David Nelson (2017). Noise Web Data Learning from a Web User Profile, published in Proceedings of the International Conference of Data Mining and Knowledge Engineering, pp.608-611, vol. 2, ISBN, London, UK. 

  1. Matsopoulos S. and Plekhanova V. (2014). Research paper, Connections of Reduced Performance Health Data for Severe Persistent Uncontrolled Allergic Asthma Treated by Omazulimab. In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014), Clinical Problems and Applications; Datamining; Healthcare Management Systems; Practice-based Research Methods for Healthcare IT; Security and Medical Data Access-Control; ISBN 978-989-758-010-9, pages 276-286. ESEO, Angers, Loire Valley, France, DOI: 10.5220/0004763802760286

  2. Valentina Plekhanova, Peter Smith, and Khaled Hamdan, research paper, A Role of Quality of Information for Innovation: Leadership Style and Information Management, Proceedings of the Eighth International Conference on Innovations in Information Technology (Innovations '12), the United Arab Emirates University, in Al-Ain, Abu-Dhabi, United Arab Emirates, March 18 – 20, 2012; pp. 9-14;ISBN: 1569543409; it will be published in the IEEE Xplore digital library (copyright was signed).

  3. Khaled Hamdan, Peter Smith, and Valentina Plekhanova, research paper, Leadership and Cultural Issues: Evaluation and Measurement in the Context of Software Development Projects, International Journal of Information and Education Technology vol. 2, no. 1, pp. 68-76, IJIET 2012, Vol.2(1), ISSN: 2010-3689, 2012.

Publications

Number of items: 15.

Article

Onyancha, Julius and Plekhanova, Valentina (2018) ‘Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests'. International Journal of Information and Education Technology, 12 (1). pp. 7-14. ISSN 2010-3689

Plekhanova, Valentina, Smith, Peter and Hamdan, Khaled (2012) A Role of Quality of Information for Innovation: Leadership Style and Information Management. Proceedings of the Eighth International Conference on Innovations in Information Technology (Innovations '12). 344 -349. ISSN 1569543409

Hamdan, Khaled, Smith, Peter and Plekhanova, Valentina (2012) Leadership and Cultural Issues: Evaluation and Measurement in the Context of Software Development Projects. International Journal of Information and Education Technology, 2 (1). pp. 68-76. ISSN 2010-3689

Plekhanova, Valentina (2003) Co-operative Learning in Cognitive Systems. Mathematical Modelling, 12 (15). pp. 109-118.

Book Section

Onyancha, Julius, Plekhanova, Valentina and Nelson, David (2018) ‘Learning Noise in Web Data Prior to Elimination'. In: Transactions on Engineering Technologies: 25th World Congress on Engineering (WCE 2017). Springer. (In Press)

Plekhanova, Valentina (2017) A Capability and Compatibility Approach to Modelling of Information Reuse and Integration for Innovation. In: Springer Series "LECTURE NOTES IN DATA ENGINEERING AND COMMUNICATION SYSTEMS". Springer Series . Springer Series. ISBN 978-3-319-75927-2 (In Press)

Onyancha, Julius, Plekhanova, Valentina and Nelson, David (2017) Noise Web Data Learning from a Web User Profile: Position Paper. In: , Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2017 Volume II. IAENG, pp. 608-611. ISBN 978-988-14048-3-1

Plekhanova, Valentina (2009) Learning Systems Engineering. In: Encyclopedia of Information Science and Technology. Information Science Reference, pp. 2404-2410. ISBN 978-1- 60566-026-4

Plekhanova, Valentina (2005) Learning Systems Engineering. In: Encyclopedia of Information Science and Technology. Idea Group Inc., pp. 1820-1826. ISBN 159140553X

Plekhanova, Valentina (2005) Respecting Diverse Talents and Ways of Learning. In: Encylopedia of Distance Learning (C. Howard, J.V. Boetttcher, L. Justice, K. Schenk P.L. Rogers and G.A. Berg Eds.). Idea Group Inc., pp. 1573-1580. ISBN 1591405556

Bokma, Albert, Tsakopoulos, Stamatios and Plekhanova, Valentina (2003) Partner Evaluation and Selection in Virtual Enterprises Using a Profile Theory Based Approach. In: Processes and Foundations for Virtual Organisations. Kluwer Academic Publishers, pp. 73-84. ISBN 140207638X

Conference or Workshop Item

Onyancha, Julius and Plekhanova, Valentina (2018) A user-centric approach towards learning noise in web data. In: 12th International Conference on Intelligent Systems and Knowledge Control, 24-26 Nov 2017, Nanjing, Jiangsu.

Onyancha, Julius, Plekhanova, Valentina and Nelson, David (2017) Noise Web Data Learning from a Web User Profile: Position Paper. In: WCE 2017, 5-7 Jul 2017, London, UK.

Hamdan, Khaled, Smith, Peter and Plekhanova, Valentina (2011) A Formal Approach to the Measurement of Leadership and Cultural Capabilities. In: International Conference on Engineering and Information Management (ICEIM 2011), 15-17 Apr 2011, Chengdu, China. (In Press)

Plekhanova, Valentina (2004) Concurrent Engineering the Virtual Enterprises: Agents and their Structural Organisation. In: Proceedings of the 11th European Concurrent Engineering Conference (ECEC 2004): Worldwide Partnerships and Mergers.

This list was generated on Thu May 24 18:14:43 2018 BST.

Areas of expertise

  • Data Mining
  • Machine Learning
  • Data Science
  • Data Analytics
  • Big Data
  • Knowledge Engineering
  • Computational Intelligence and Intelligent Systems
  • Business Intelligence

Further information

Editor of the book on Intelligent Agent Software Engineering.

A member for a number of International Conference Program Committees including International Conference of Data Mining and Knowledge Engineering; International Conference of Computational Intelligence and Intelligent Systems; International Conference on Fuzzy Computation; International Conference on Business Intelligence and Data Warehouse; International Conference on Software Engineering; International Conference on Green IT; International Conference on Fuzzy Computation Theory and Applications; International Conference on Natural Computation; International Conference on Fuzzy Systems and Knowledge Discovery.

Guest speaker for a number of international conferences/seminars in the UK Australia, Germany and Russia.