Information for coordinators building Horizon Europe, MSCA and EuroHPC consortia. Everything here may be copied into proposals.
Pavlo Radiuk offers consortia a methods partner for explainable and trustworthy AI, with applied work in medical imaging, UAV-based inspection of energy infrastructure and urban mobility. His transition-matrix approach maps a model's internal features onto the features domain experts already use, so that explanations can be checked and audited. As a Researcher in the Horizon Europe project U_CAN, he brings experience of EU project work, cooperation with municipal stakeholders and a Ukrainian pilot site at Khmelnytskyi National University.
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Pavlo Radiuk is Associate Professor of Computer Science at Khmelnytskyi National University, Ukraine. His research makes deep-learning decisions legible to the experts who act on them, through transition matrices between model and human feature spaces. He has authored more than 70 scientific works and is technical lead of the Khmelnytskyi traffic pilot in the Horizon Europe project U_CAN.
Pavlo Radiuk is Associate Professor in the Department of Computer Science, Faculty of Information Technologies, Khmelnytskyi National University, Ukraine, where he is also a full-time doctoral candidate for the Doctor of Science degree. He received his Ph.D. in Computer Science in 2022 for work on information technology for the early diagnosis of pneumonia from individual radiographs.
His research concerns explainable and trustworthy artificial intelligence. He formalises the mapping between a deep model's learned feature space and the feature space a domain expert reasons with as a transition matrix, extends it with Lie-group equivariance and rough-set production rules, and validates it against expert judgement in cardiac MRI, ECG, thoracic imaging, UAV-based infrastructure inspection and urban traffic control.
He has authored more than 70 scientific works, served on the editorial board of the Journal of Intelligent & Fuzzy Systems (2023–2024), and is a Researcher in the Horizon Europe project U_CAN at Khmelnytskyi National University, within the EU Cities Mission.
Pavlo Radiuk is Associate Professor in the Department of Computer Science, Faculty of Information Technologies, Khmelnytskyi National University, Ukraine. He graduated with distinction in Mathematical and Computer Modelling in 2017, defended his Ph.D. in Computer Science in December 2021 (awarded 2022), and since September 2025 has been a full-time doctoral candidate for the Doctor of Science degree, with Professor Oleksander Barmak as scientific consultant.
His research addresses a single question across several domains: how to make the decisions of deep-learning systems legible to the people who must act on them. The central construct is the transition matrix, an explicit linear mapping between a model's learned feature space and the feature space a domain expert already reasons with, so that an explanation becomes a change of basis rather than a heatmap. He has extended this with Lie-group equivariance, rough-set production rules and conflict-aware auditing, and validated it against clinical expert judgement, with Cohen’s kappa of 0.89 for ECG and 0.80 for cardiac MRI. The same framework carries into UAV-based inspection of wind turbines and photovoltaic plants, precision agriculture and reinforcement-learning traffic control.
He has authored more than 70 scientific works, including articles in Machine Learning and Knowledge Extraction, Sensors, Energies, Drones and Technologies. He holds nine registered Ukrainian copyright certificates and has co-authored two university textbooks.
He is a Researcher in the Horizon Europe project Ukraine towards Carbon Neutrality (U_CAN, grant agreement 101148374) at Khmelnytskyi National University, under the EU Mission for Climate-Neutral and Smart Cities, and technical lead of the Khmelnytskyi traffic pilot. He served on the editorial board of the Journal of Intelligent & Fuzzy Systems in 2023–2024, has completed more than 450 peer-review rounds for journals and conferences, and serves on the organising committee of the ExplAI workshop series. He held the Scholarship of the Cabinet of Ministers of Ukraine for Young Scientists (2022–2024).
radiukp [at] khmnu.edu.uaradiukpavlo [at] gmail.com
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