Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production
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Dive into the research topics where Iuliia Yamnenko is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Exploring the role of wavelet decomposition order in deep learning-based network-wide traffic prediction
Hassanzada, M. J., Yamnenko, I. & Antoniou, C., Feb 2026, In: Journal of Traffic and Transportation Engineering (English Edition). 13, 1, p. 148-167 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Vertical federated learning for transport mode detection using multi-modality data
Yang, N., Singh, R., Shtykalo, O., Yamnenko, I. & Antoniou, C., Mar 2026, In: Transportation Research Part C: Emerging Technologies. 184, 105546.Research output: Contribution to journal › Article › peer-review
Open Access -
Efficient Cloud-Sourced Transport Mode Detection Using Trajectory Data: A Semi-Supervised Asynchronous Federated Learning Approach
Yang, N., Lu, Q. L., Yamnenko, I. & Antoniou, C., 2025, In: IEEE Internet of Things Journal. 12, 9, p. 11841-11857 17 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Vehicle Trajectory Prediction in Congested Urban Traffic Leveraging Liquid Neural Network and UAV Data
Mohebbi, M. R., Tavasoli, M., Döller, M., Abad, J. M. N., Zada, M. J. H. & Yamnenko, I., 2025, Proceedings of 17th International Conference on Machine Learning and Computing - ICMLC 2025. Huang, L. & Greenhalgh, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 193-210 18 p. (Lecture Notes in Networks and Systems; vol. 1475 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Anisotropic Charge Transport in HPHT Diamonds
Grushko, V., Chaplynskyi, R. Y., Yamnenko, I. S., Leshchuk, O. O., Mitskevich, E. I., Ivakhnenko, S. O., Lysakovskyi, V. V., Zanevskyi, O. O., Petrosyan, E. E. & Mykytiuk, T. V., Feb 2024, In: Journal of Superhard Materials. 46, 1, p. 23-31 9 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations