Yevgeniya Kovalchuk

Lecturer in Computer Science

School of Computing and Digital Technology
Email:
yevgeniya.kovalchuk@bcu.ac.uk
Phone:
0121 331 4301
Biography

Yevgeniya joined the School of Computing and Digital Technology and its Cyber Security Research Group as a Lecturer in Computer Science in September 2016. She received an MSc in Economic Cybernetics from the National Technical University of Ukraine and PhD in Computer Science from the University of Essex. During her professional career, she worked in both pure industrial and academic environments, as well as on projects connecting the two. She has a strong track record of applying computer and data science to solve problems across a wide range of business areas, including banking, insurance, logistics, healthcare, sport and entertainment, among many others.

Current Activity

Yevgeniya supervises final-year and PhD projects and serves as a mentor for first-year students. She is involved in curriculum redevelopment and currently teaches on the following modules:

  • CMP4097 Data Analysis UG1
  • CMP5309 Introduction to Software Engineering UG2
  • CMP5213 Research and Professional Practice UG2
  • CMP6102 Individual Project UG3
  • CMP6087 Artificial Intelligence and Machine Learning UG3
Areas of Expertise
  • Artificial intelligence and machine learning
  • Software engineering, embedded systems and software-hardware integration
  • Sensors and wearables
  • Cyber security
  • Mutli-agent systems
  • Healthcare informatics
  • Movement science and movement/art therapy
Qualifications
  • PhD in Computer Science, University of Essex, UK
  • MSc in Economic Cybernetics, Mathematical Methods and Models in Economics Department, National Technical University of Ukraine
  • Level 5 Diploma in Management and Leadership, Chartered Management Institute, UK
Teaching

Yevgeniya designed and is coordinating a new Software Engineering module, and also contributes to the overall Computer Science curriculum development.

She also supervises final year and PhD projects and serves as a mentor for first-year students.

Research

Her current research is concerned with establishing scientific evidence for the connection between mental and physical human performance and health. She is also interested in the potential of tactile internet and wearables for understanding and enhancing dance-movement and art therapies, as well as developing assistive technology and interactive human-machine interfaces.

Studying human behavior and dynamics of the representation of mental and emotional states in bodily coordination patterns has a wide range of applications from finding better treatments for patients with mental and/or physical disorders, through designing usable technology, to developing effective security solutions.

Prospective PhD and Final Year students with interest in one or more of the following areas are welcome to get in touch to discuss project ideas:

  • Tactile Internet
  • Sensors, wearables, biological signal processing
  • Healthcare and wellbeing informatics
  • Movement and art therapy, assistive technology
  • Artificial intelligence and machine learning
  • Natural language and speech processing
  • Big data, streaming, edge analytics
  • IoT and smart cities
  • Cyber security
  • Mutli-agent systems
Postgraduate Supervision

Prospective PhD and final-year students with interest in one or more of the following areas are welcome to get in touch:

  •        Tactile Internet
  •        Sensors, wearables, biological signal processing
  •        Healthcare and wellbeing informatics
  •        Movement and art therapy, assistive technology
  •        Artificial intelligence and machine learning
  •        Natural language and speech processing
  •        Big data, streaming, edge analytics
  •        IoT and smart cities
  •        Cyber security
  •        Mutli-agent systems
Publications
  • Y. Kovalchuk, R. Stewart, M. Broadbent, T. Hubbard, R. Dobson, Analysis of Diagnoses Extracted from Electronic Health Records in a Large Mental Health Case Register, PLOS ONE (2017).

  • Z. Ibrahim, S.J. Kiddle, H. Wu, M. Kerz, Y. Kovalchuk, S. Miles, R. Dobson, Health-record Embedded Comparative Effectiveness Trials: A Case for Employing Multi-agent Systems, BMC Medical Informatics and Decision  Making (under review).
  • S. Crichton, B. Barrat, A. Spiridou, U. Hoang, S. F. Liang, Y. Kovalchuk, S. Beevers, F. Kelly, B. Delaney, and C. Wolfe, Associations between Exhaust and Non-exhaust Particulate Matter and Stroke Incidence by Stroke Subtype in South London, Science of the Total Environment Journal, Elsevier (2016).
  • S.F. Liang, A. Taweel, S. Miles, Y. Kovalchuk, A. Spiridou, B. Barratt, U. Hoang, S. Crichton, B.C. Delaney, C. Wolfe, Semi Automated Transformation to OWL Formatted Files as an Approach to Data Integration: A Feasibility Study Using Environmental, Disease Register & Primary Care Clinical Data, Methods of Information in Medicine 53,4 (2015).
  • Y. Kovalchuk, Y. Chen, S. Miles, S. F. Liang, A. Taweel, Provenance-aware Pervasive Computing in Clinical Applications, Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob, 2013), 308-313.
  • Y. Kovalchuk, Talking Things, Proc. of the 9th Int. Conf. on Intelligent Environments, IOS Press (2013), 284-293.
  • Y. Kovalchuk, Folk’s wisdom on a chip: Back into the future or Symphony of the body (2012).
  • Y. Kovalchuk, G. Howells, H. Hu, D. Gu, and K.D. McDonald-Maier, A Practical Proposal for Ensuring the Provenance of Hardware Devices and Their Safe Operation, Proceedings of the IET Conferences on System Safety and Cyber Security (2012).
  • Y. Kovalchuk, G. Howells, H. Hu, D. Gu, and K.D. McDonald-Maier, ICmetrics for Low Resource Embedded Systems, Proceedings of the third International Conference on Emerging Security Technologies (2012).
  • Y. Kovalchuk, D. Newman, G. Howells, S. Kelly, H. Hu, D. Gu, and K.D. McDonald-Maier, Investigation of Properties of ICmetrics Features, Proceedings of the third International Conference on Emerging Security Technologies (2012).
  • Y. Kovalchuk, G. Howells, and K.D. McDonald-Maier, Overview of ICmetrics Technology – Security Infrastructure for Autonomous and Intelligent Healthcare System, International Journal of u- and e- Service, Science and Technology, 4 (3) (2011), 49-60.
  • Y. Kovalchuk, The Ministry of Interfaces (Doors), Workshop Proceedings of the 7th International Conference on Intelligent Environments, IOS Press, (2011).
  • Y. Kovalchuk, Scientific Theatre: Multidisciplinary Approach to Designing Intelligent Environments, Workshop Proceedings of the 7th International Conference on Intelligent Environments, IOS Press (2011), 585-594.
  • Y. Kovalchuk and L. Mova, Movement as a Means of Communication, Workshop Proceedings of the 7th International Conference on Intelligent Environments, IOS Press (2011), 610.
  • M. Fasli and Y. Kovalchuk Learning Approaches for Developing Successful Seller Strategies in Dynamic Supply Chain Management, Information Sciences 181 (2011), 3411-3426.
  • Y. Kovalchuk and M. Fasli, A Demand-Driven Approach for a Multi-Agent System in Supply Chain Management, E. David et al. (Eds.): LNBIP 59, Springer-Verlag Berlin Heidelberg (2010), 88–101.
  • Y. Kovalchuk and V. Callaghan, A Self-Organizing System for Online Maintenance of a Living Organism, Proceedings of the 6th International Conference on Intelligent Environments, IOS Press (2010), 283-288.
  • Y. Kovalchuk, Knowing yourself, Intelligent Environments, Creative Science, IOS Press (2010), 271-280.
  • Y. Kovalchuk, A Conceptual Model of the System for Online Maintenance of a Living Organism, Technical Report CES-501, University of Essex (2009).
  • R. Tagiew and Y. Kovalchuk, Barter Double Auction as Model for Bilateral Social Co-operations, Technical Report CES-502, University of Essex (2009).
  • Y. Kovalchuk and M. Fasli, Deploying Neural-Network-Based Models for Dynamic Pricing in SCM, Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (2008), 680-685.
  • Y. Kovalchuk, Seller’s Strategies for Predicting Winning Bid Prices in Online Auctions, Proceedings of the International Conference on Intelligent Agents, Web Technologies and Internet Commerce (2008), 1-6.
  • Y. Kovalchuk and M. Fasli, Evaluating Adaptive Customer Strategies in TAC SCM, Proceedings of the Workshop on Trading Agent Design and Analysis (TADA), AAAI-2008, Chicago (2008), 57-61.
  • Y. Kovalchuk and M. Fasli, Adaptive Strategies for Predicting Bidding Prices in Supply Chain Management, Proceedings of the tenth International Conference on Electronic Commerce (ICEC’2008).
  • Y. Kovalchuk, Multi-Agent Decision Support System for Supply Chain Management, Proceedings of the Doctoral Consortium of the 10th International Conference on Electronic Commerce (ICEC’2008).
  • A. Agapitos, M. Dyson, Y. Kovalchuk, and S. M. Lucas, On the Genetic Programming of Time-Series Predictors for Supply Chain Management, Proceedings of the 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), 1163-1170.
  • Y. Kovalchuk, Information System for Analysis and Prediction of Stock Rates, in Proceedings of the third Scientific Conference on Problems of Implementation of Information Systems and Technologies in Economics and Business, Trade Economic University of Ukraine, Kyiv, Ukraine (2002).
  • Y. Kovalchuk, Usage of the Unified Modelling Language (UML) for Developing Information Systems, in Proc. of the Scientific Conference on Modern Technologies of Running Business in Ukraine, NTUU "KPI", Kyiv, Ukraine (2002).
  • Y. Kovalchuk, Information System for Analysis and Prediction of Stock Rates, in Proceedings of the second Scientific Conference on World Theory and Practice in Ukrainian Business, NTUU "KPI", Kyiv, Ukraine (2001).