Vladislav Kaverinskiy received his first master's degree in Applied Materials Science from Donetsk National Technical University in 2010, a Ph.D. degree in Materials Science from the I.M. Frantsevich Institute for Problems of Materials Sciences (IPMS) of NAS of Ukraine in 2015, a second master's degree in Software Engineering from National Aviation University in 2018, and is now pursuing a Senior Doctorate of Engineering in Materials Science at IPMS. He has worked as Leading Engineer (2010 – 2015), Junior Researcher (2015), Researcher (2016 – 2017), and Senior Researcher (2018 – present) at IPMS. From 2023 to present, he is also working at Glushkov Institute of Cybernetics as Senior Researcher. His research topics mainly include mathematical modeling, machine learning and AI systems applications in different areas, advanced data analysis, metal matrix composites production and processing, metal physics experimental and theoretical (calculation) studies, graph databases, and natural language processing.

Chaikovsky Illya, PhD in Medicine (University Duisburg-Essen, Germany, magna cum laude), PhD in Medical Informatics and Cybernetics (International Research and Training Center of Informational Technologies and Systems of NAS of Ukraine, Kyiv).Glushkov Institute for Cybernetics of NAS of Ukraine, Department of Sensor Devices, Systems, and Technology Contactless Diagnostic. Lead Researcher since 2014.Key words: digital health, advanced ECG analysis, magnetocardiography, population health, AI in medicine.

2016: Undergraduate student at Igor Sikorsky Kyiv Polytechnic Institute in the Department of Biomedical Engineering of the Faculty of Biomedical Engineering, specializing in biomedical engineering. 2020: Defended his thesis with honors on designing a stereo hearing aid with a changeable frequency response. 2020: Master's student at Igor Sikorsky Kyiv Polytechnic Institute in the Department of Electronic Engineering of the Faculty of Electronics, specializing in micro and nano system technology. 2022: Graduated from the master's program with honors and defended his master's thesis on the topic "Recognition of the states of electrical activity of the heart using machine learning methods." 2022: PhD student, working on the dissertation "System for detecting cardiac arrhythmias using machine learning methods." At the moment, he is the author of 10 publications in Ukrainian and international journals and conference proceedings, 2 of which are indexed in the "Scopus" and "Web of Science" scientometric databases.

Ryzhenko Tetiana,master’s degree, National Technical University of Ukraine“Igor Sikorsky Kyiv Polytechnic Institute,” Faculty of Electronics, 2002. Glushkov Institute for Cybernetics of NAS of Ukraine,Department of Sensor Devices, Systems and Technology, Contactless Diagnostic, 2002-2025. Researcher since 2018. Key words: digital health, advanced ECG analysis, magnetocardiography, population health.

PhD (Candidate of Military Sciences), Colonel of the Armed Forces of Ukraine, Head of the Research Laboratory for Moral and Psychological Support of Troops (Forces) Activity Department, Ivan Chernyakhovsky National Defense University of Ukraine. Department of Moral and Psychological Support of the Activity of the Troops (Forces), National Defense University of Ukraine Named After Ivan Cherniakhovskyi, Kyiv, Ukraine.

Mr. Kyrylo Malakhov is a research fellow at the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, working in the department of computer facilities and systems and the microprocessor technology lab/subdivision. As a research scientist, he specializes in the study of methods of inference by analogy and inductive inference in order to obtain new knowledge and their use in solving research design problems; computer processing of natural language texts (computational linguistics – NLP, NLU, NLI); ontology engineering; practical development of integrated information systems for supporting the full life cycle of scientific research; digital health; and hybrid e-rehabilitation. The most recent research is related to telemedicine/telehealth and hybrid e-rehabilitation services (smart system for remote support of rehabilitation activities and services): wearables (remote patient monitoring with telemetry data processing), software frameworks (iOS HealthKit, iOS CareKit), and HL7 FHIR and openEHR standards.