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Vladyslav Gamolya

Academic Director of Undergraduate Studies in Artificial Intelligence



Biography

As a PhD student at the Department of Cybersecurity at Lviv Polytechnic National University, he focuses on advanced topics in artificial intelligence, including efficient deep learning, distributed learning, machine learning model interpretation, resource optimization, and heterogeneous systems. His research approach is characterized by a deep technical understanding and the ability to integrate theoretical knowledge with practical applications.

Since 2020, he has been a Senior Data Scientist at MacPaw.

Publications: 

  • Melnyk, V., Hamolia, V. (2023). Investigation of reconfigurable hardware platforms for 5G protocol stack functions acceleration. Applied Aspects of Information Technology, Vol. 6, N 1, pp. 84-99.

  • Hamolia, V., Melnyk, V., Zhezhnych, P., & Shilinh, A. (2020). INTRUSION DETECTION IN COMPUTER NETWORKS USING LATENT SPACE REPRESENTATION AND MACHINE LEARNING. International Journal of Computing, 19(3), 442-448.

  • V. Hamolia and V. Melnyk, “A Survey of Machine Learning Methods and Applications in Electronic Design Automation,” 2021 11th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf, Germany, 2021, pp. 757-760.