Dr Viktor Sowinski-Mydlarz

Dr Viktor Sowinski-Mydlarz is a post-doctoral researcher at the Cyber Security Research Centre at London Met and a lecturer in Computer Science and Applied Computing.

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More about Dr Viktor Sowinski-Mydlarz

Dr Viktor Sowinski-Mydlarz is a post-doctoral researcher at the Cyber Security Research Centre at London Metropolitan University. He's also a lecturer in Computer Science and Applied Computing within the School of Computing and Digital Media. He's teaching programming, software engineering, ethical hacking, computer networking and recently cloud computing.

His PhD is in the area of hybrid frameworks for data processing, which combine semantic and machine learning methods for data analysis. He is experienced in software integration, particularly in containerization, orchestration and monitoring of data analytics engines on the cloud.

Within the last five years, Dr Sowinski-Mydlarz has been working on a number of research projects, funded by Lloyds Banking Group and Innovate UK. He is currently working on Urban Data Space (air quality analysis), Microsoft Azure Cluster (NHS prescription data statistics with Machine Learning) and a bioinformatics project regarding 3d modelling of Coronavirus variants.

Dr Viktor Sowinski-Mydlarz teaches on various topics including programming, software engineering, ethical hacking, computer networking and recently cloud computing.

Sowinski-Mydlarz, V., Li, J., Ouazzane, K. and Vassilev, V., "Threat intelligence using machine learning packet dissection". In: Proc. 20th International Conference on Security & Management (SAM'21), 26-29 July 2021, Las Vegas, USA. Transactions on Computational Science and Computational Intelligence. Springer (2021); ISSN 2569-7072. 

Vassilev, V., Sowinski-Mydlarz, V., Gasiorowski, P. et al., "Intelligence Graphs for Threat Intelligence and Security Policy Validation of Cyber Systems". In: P. Bansal, M. Tushir, V. Balas and R. Srivastava (eds.), Advances in Intelligent Systems and Computing, Vol. 1164, pp. 125-140. Springer (2020); ISSN 978-981-15-4991-5.

Vassilev, V., Ilieva, S., Sowinski-Mydlarz, V. et al., "AI-based Hybrid Data Platforms”. In: Curry, E., Scerri, S. and Tuikka, T. (eds.), Data Spaces: Design, Deployments and Future Directions. Springer (2021, in print).

Dr Viktor Sowinski-Mydlarz,

Lecturer in Computer Science and Applied Computing

w.sowinskimydlarz@londonmet.ac.uk