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Mykola Oleksiyovych Zhuravel serves as a Senior Lecturer at Zaporizhia Polytechnic National University within the Department of Occupational Safety and Environmental Protection, part of the Faculty of Construction, Architecture and Design. With over 37 years of service since 1987, he has established himself as a dedicated educator and researcher in occupational safety, civil defense, and environmental protection fields. His research interests span occupational safety, civil defense, environmental safety, life safety, industrial safety, ergonomics, and risk management. Zhuravel's scholarly work consistently addresses practical safety concerns in Ukrainian industrial and educational settings, with a particular focus on regional environmental challenges in Zaporizhzhia. His publications demonstrate a progression from foundational safety principles to contemporary concerns like ecological energy security and digital workplace safety. Analysis of his 15 most recent publications reveals a strong emphasis on practical applications of safety science, with recurring themes in environmental protection, workplace hazard mitigation, and emergency preparedness. His work bridges theoretical safety frameworks with practical implementation strategies, particularly relevant to Ukrainian industrial contexts. Zhuravel maintains active professional development, with numerous certifications through 2024 in occupational safety, civil defense, and academic integrity. He is an associated member of the European Community for Occupational Safety and Health (EUOP register number 13823000211, registered June 12, 2023). As an educator, he teaches multiple safety-related disciplines including Safety of Life of a Specialist with Basics of Labor Protection, Protection of Human Living Environment and Occupational Safety, and Civil Protection and Occupational Safety in Industry. His teaching approach integrates theoretical knowledge with practical safety applications relevant to Ukrainian industrial contexts.

• Occupational Safety
• Civil Defense
• Environmental Safety
• +4 more

Stavros Vologiannidis serves as an Assistant Professor in the Department of Informatics, Computer and Telecommunications Engineering at the International University of Greece. His academic career spans both teaching and research in control theory, robotics, and machine learning applications. Previously, he was associated with the Mathematics Department at Aristotle University of Thessaloniki where he completed his education and conducted postdoctoral research. Education: B.Sc. in Mathematics from Aristotle University of Thessaloniki (1997) Ph.D. in Control Theory from Aristotle University of Thessaloniki (2005) with dissertation titled 'ALGEBRAIC-POLYONYMICAL COMPUTING METHODS IN CONTROL THEORY' Dr. Vologiannidis' research focuses on Classical and Intelligent Control Theory, Robotics, and Machine Learning, with particular expertise in polynomial matrices and automatic control systems. His work bridges theoretical mathematics with practical engineering applications, especially in educational robotics and industrial control systems. He has developed several educational platforms including EUROPA, a ROS-based educational robot for teaching sensor integration and data acquisition. His publication record shows a clear evolution from theoretical control systems research toward applied machine learning and educational technology. Recent work demonstrates increasing focus on practical applications of AI in education, urban feature recognition, industrial monitoring, and robotics education across multiple educational levels from middle school through university. His research combines mathematical rigor with real-world implementation. Scientific Recognition: Excellence Scholarship in the 'Excellence Scholarships 2010' program of the Research Committee Total citations exceeding 250 with Scopus H-index of 9 Dr. Vologiannidis has secured numerous research grants and led multiple projects including 'Rapid Earthquake Damage Assessment Consortium – REDACt', 'Predictive Maintenance 4.0', and 'Development of computational methods for optimization of eigenvalue assignment problems'. He has collaborated extensively with institutions across Europe including UTIA Foundation in Prague and has participated in EU-funded projects like GALENOS and GN4-1 GÉANT Research and Education Networking. His laboratory work centers around the EUROPA educational robotics platform and the StreetScouting urban feature detection system, both of which integrate hardware, software, and educational applications. These projects demonstrate his commitment to translating theoretical research into practical educational and industrial tools.

• Control Theory
• Robotics
• Machine Learning
• +3 more

Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).

• Control Systems
• Robotics
• Mechatronics
• +5 more

Cristina Stângaciu is a Lecturer at the Department of Computer and Information Technology, Politehnica University of Timisoara. Her research focuses on embedded systems, real-time systems, IoT, and energy-efficient computing. She has contributed to mixed criticality task scheduling and wireless sensor networks. PhD in Real-Time Systems (2015) Scientific Secretary of Department Involvement in projects: Bright Cityscapes - Synthia, CloudPUTing, TEEFIOS Her research interests span real-time task scheduling, embedded operating systems, and smart sensing systems. Recent work explores IoT security and multicore scheduling techniques. Key article trends include real-time scheduling frameworks, IoT protocol optimization, and energy-efficient embedded systems. Topics like lightweight cryptography and CAN FD improvements are prominent in her 2024-2025 publications. Merit Diplomas (2021, 2022) Merit Awards 2025 As advisor to PhD students, she contributes to advancements in real-time systems through grants and collaborative projects like SCMUPT 2025. Her work integrates practical and theoretical aspects of sensor networks and cloud platforms.

• Embedded Systems
• Real-Time Systems
• Energy Management
• +4 more

Yuriy Mykolayovych Savonov serves as Associate Professor at Zaporizhzhia Polytechnic National University within the Department of Integrated Welding Technologies and Modeling of Structures under the Faculty of Engineering Physics. With continuous academic service since 1979, he maintains active research and teaching roles including courses on Welding Equipment Schematics and Technological Methods for Increasing Machine Parts Service Life . His educational background includes higher education from V.Ya. Chubar State University of Mass Media (1979), Faculty of Mechanics and Metallurgy, with specialization in "Equipment and Technology of Welding Production" and qualification as Mechanical Engineer. He holds the Candidate of Technical Sciences degree (1989) with thesis on "Development and implementation of welding materials for pulp and paper production equipment made of two-phase steel 12X21N5T". Savonov's research centers on weldability challenges of corrosion-resistant austenitic and austenitic-ferritic steels, with significant contributions to electroslag remelting, corrosion resistance in alkaline environments, and restoration techniques for industrial equipment. His work bridges theoretical materials science with practical industrial applications across metallurgical, pulp/paper, and construction sectors. Analysis of his recent publications reveals strong focus on titanium recycling processes, advanced welding technologies for duplex steels, and innovative surface engineering solutions. His research demonstrates consistent evolution from fundamental welding science toward sustainable material processing and equipment longevity enhancement. Professional activity includes regular participation in the university's "Week of Science" conferences through 2022, with collaborative projects spanning multiple Ukrainian technical institutions. His scholarly output exceeds 30 publications including 5 author's certificates and 1 educational manual, primarily published in Ukrainian metallurgical and engineering journals. Current research infrastructure involves laboratory work at university facilities (room 257-a, building 2) with English communication capability at dictionary level. His ORCID (0000-0003-1347-5366) and Scopus (6505863212) profiles document ongoing scholarly contributions.

• Welding Technology
• Materials Science
• Corrosion Resistance
• +2 more

Paul Daniel DUMITRU is an Assistant Professor at the Technical University of Civil Engineering Bucharest (UTCB), Faculty of Geodesy. With a PhD awarded in 2011, he has established himself as a prominent researcher in geodetic sciences, having won the UTCB Award for "Researcher of the Year at the Faculty of Geodesy" three consecutive years (2017-2019). His research focuses on: Geodetic network design (satellite, classical and combined) GNSS and classical geodetic measurements Permanent GNSS station networks Astro-geodetic measurements for vertical deviation determination Coordinate transformations and quasi-geoid modeling GIS database design and geodetic application development DUMITRU's recent publications reveal a strong focus on applying space geodesy to practical problems, with significant work on quasi-geoid modeling using GOCE mission data, validation of satellite radar interferometry for landslide monitoring in the Carpathian regions, and development of CCD-based instruments for vertical deviation measurements. His research demonstrates consistent innovation in measurement techniques with applications spanning disaster management, infrastructure protection, and precision agriculture. His scientific contributions have been recognized with multiple awards, including: UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2017) UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2018) UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2019) DUMITRU has managed research projects with competitive funding, having won 4 projects through competition (PNII, PNIII) as Project Director or Project Partner Responsible. His work spans geodesy, geospatial analysis, and the application of space technologies to practical problems in civil engineering, disaster management, and agriculture. He has developed applications to automate geodetic works using programming languages including C++, MATLAB, and Python, demonstrating strong technical skills alongside his domain expertise in geodesy.

• Geodesy
• Astronomical Geodesy
• GIS
• +7 more

Marius MARCU is an Associate Professor at the Computer and Software Engineering Department , Faculty of Automation and Computers , Politehnica University of Timisoara , Romania. His career spans over two decades, combining academic rigor with industry collaboration, particularly in mobile systems and energy-efficient computing. PhD in Computer Science (2005) Master's in Advanced Computer Engineering (1996) BSc in Computer Systems Engineering (1995) His research focuses on Mobile Systems and Applications , Dynamic Power and Thermal Management , and Power-Aware Applications , with over 60 publications and leadership in 11 R&D projects. His work bridges theoretical advancements with practical implementations in wireless sensor networks and embedded systems. Recent publications emphasize energy characterization , thermal profiling , and wireless positioning accuracy across 2010–2011. He actively contributes to academic governance as Studies Program Manager for the Master of Information Technology and peer reviewer for IEEE and ACM. Merit Diplomas 2021 Project Director, FP7-eMuCo (2008–2010) Advisory roles for Alcatel-Lucent R&D contracts

• Mobile systems and applications
• Dynamic power management
• Dynamic thermal management
• +4 more

Roman Fedorovych Sukhonos is a Senior Lecturer at the Department of Automobiles, Heat Engines and Hybrid Power Plants within the Faculty of Transport at National University "Zaporizhzhia Polytechnic". He has been affiliated with the university since 2011, contributing to both teaching and research activities in the field of internal combustion engines and automotive systems. His educational background includes: Bachelor's degree in Engineering Mechanics from Zaporizhzhia National Technical University (2010) Master's degree in Internal Combustion Engines from Zaporizhzhia National Technical University (2011), with qualifications as "Master in Internal Combustion Engines, Researcher (Engineering Mechanics), Lecturer at Universities and Higher Educational Institutions" Roman Sukhonos specializes in thermal and gas-dynamic processes in internal combustion engines. His research focuses on improving engine performance, efficiency, and emissions characteristics through innovative design approaches and diagnostic methods. He has particular expertise in two-stroke engine technology, resonant supercharging systems, and the analysis of engine misfires and their effects on performance. His recent publications demonstrate a strong focus on practical applications of engine technology, ranging from chainsaw engines to high-performance automotive systems like Ferrari V12 engines. There's a clear trend toward integrating modern diagnostic techniques, including acoustic monitoring and neural networks, with traditional engine design principles. His work spans both theoretical analysis and experimental validation of engine performance characteristics. Dr. Sukhonos has received numerous awards and recognitions for his contributions: Letter of appreciation from Zaporizhzhia Regional State Administration (June 2023) Honorary certificate from Zaporizhzhia Regional Council (June 2022) Letter of appreciation from Rector of National University "Zaporizhzhia Polytechnic" (May 2022) Honorary certificate from Executive Committee of Zaporizhzhia City Council (November 2021) Certificate from Rector of National University "Zaporizhzhia Polytechnic" (December 2019) Certificate from Oleksandrivka District Administration (December 2018) Third degree diploma from Ministry of Education and Science, Youth and Sports of Ukraine (July 2012) Certificate from Executive Committee of Zaporizhzhia City Council (December 2005) While specific details about his advising activities are not explicitly mentioned, his extensive publication record with multiple co-authors suggests active involvement in research mentoring. His participation in numerous conferences and publication of textbooks indicates significant contributions to curriculum development and student education. His research appears to be supported through university affiliations and collaborations with colleagues. Dr. Sukhonos is part of a research team at the Department of Automobiles, Heat Engines and Hybrid Power Plants that focuses on engine diagnostics, performance optimization, and alternative engine designs. His collaborations with colleagues like Georgy Slynko indicate a strong research group working on advancing internal combustion engine technology despite the industry's shift toward electric propulsion.

• Internal combustion engines
• Thermal dynamics
• Gas-dynamic processes
• +4 more

Iryna Mykhailivna Kilymnyk is an Associate Professor at the Department of Mathematics, Faculty of Mechanical Engineering, Zaporizhzhia Polytechnic National University. With a distinguished career spanning nearly five decades since joining the university in 1976, she has established herself as a respected academic in both mathematical education and applied mechanics, maintaining active research and teaching activities through 2024. Education: Diploma with honors from Dnipropetrovsk State University, Faculty of Mechanics and Mathematics (1976), specialty: Applied Mathematics Candidate of Technical Sciences (equivalent to PhD) with thesis 'Object-oriented modeling of the thermal stress-strain state of the "casting - metal mold" system' (1997) Research Interests: Dr. Kilymnyk specializes in the mechanics of deformable solid bodies and the methodology of teaching mathematics in higher education. Her work bridges theoretical mathematics with practical engineering applications, particularly in electromagnetic processes simulation and power transformer modeling. She has developed innovative approaches to mathematical modeling of complex physical systems, with a focus on industrial applications. Her research has contributed significantly to understanding thermal stress-strain states in casting processes and electromagnetic field behavior in industrial equipment, with publications spanning mathematical theory, engineering applications, and interdisciplinary medical research. Publication Trends: Over her extensive career, Dr. Kilymnyk has published more than 50 scientific papers, with 9 indexed in Scopus. Her recent work (2023-2024) shows continued productivity with publications spanning mathematical education textbooks, electromagnetic modeling, and interdisciplinary medical applications. Her research demonstrates a consistent focus on applying mathematical principles to solve practical engineering problems while maintaining strong contributions to mathematics education methodology. The breadth of her work reflects both deep expertise in core mathematical disciplines and the ability to apply these principles across diverse fields including electrical engineering, materials science, and medical applications. Awards and Honors: Honorary Diploma of the Ministry of Education and Science of Ukraine (2000, 2004) Zaporizhzhia Polytechnic National University Badge 'For Impeccable Work' (3rd degree, 2008) Zaporizhzhia Polytechnic National University Badge 'For Impeccable Work' (2nd degree, 2015) Badge of the Ministry of Education and Science of Ukraine 'Distinguished Educator of Ukraine' (2020) Zaporizhzhia Polytechnic National University Badge 'For Impeccable Work' (1st degree, 2024) Academic Service: Dr. Kilymnyk serves as responsible for the educational and methodological direction of the Department of Mathematics and is a member of the university staff conference. She has maintained an active research profile while contributing significantly to curriculum development and mathematical education at the university. Her scientific contributions include 1 patent, 3 textbooks, and over 50 scientific papers, with consistent publication activity well into her later career years, demonstrating remarkable scholarly dedication and productivity.

• Mechanics of a deformable solid body
• Methodology of teaching mathematics in higher education
• Electromagnetic processes simulation
• +3 more

Volodymyr Valentynovych Vasilevsky is a Senior Lecturer at Zaporizhzhia Polytechnic National University's Faculty of Electrical Engineering. Holding a Candidate of Technical Sciences degree, his career has focused on electromechanical systems and power transformer insulation analysis since joining the university in 2012. Education: Master's in Electrical Machines and Devices (Zaporizhia National Technical University, 2011) Research: Specializing in insulation resource modeling, neural network applications for transformer diagnostics, and lifecycle management of power equipment Key Contributions: Developed layered models for insulation resource consumption, automated evaluation systems for transformer diagnostics, and defect distribution dynamics models Contact: Email lisses@ukr.net , Office 520a, Zhukovsky St. 64

• Electrical Engineering
• Power Transformers
• Insulation Materials
• +3 more

Yuriy Alekseevich Krysan is an Associate Professor at the Department of Electrical Drive and Automation of Industrial Installations at Zaporizhia Polytechnic University. With over 20 years of experience since joining the university in 2002, he has established himself as a specialist in electrical engineering with a focus on electric drive systems and steelmaking furnace regulation. Zaporizhia State Technical University, 1998: Electrical Engineer in "Electrical drive and automation of industrial installations" Zaporizhia State Technical University, 1999: Master of Electromechanics in "Electromechanical automation systems and electric drive" Dr. Krysan's research primarily focuses on the regulation of powerful steelmaking furnaces and electromagnetic processes in electrical equipment. His work spans theoretical modeling, practical implementation, and educational applications in electric drive systems. He has made significant contributions to understanding variable load impacts on synchronous electric drives, optimization of technological processes, and development of monitoring systems for energy converters. His recent publications (2017-2022) demonstrate a consistent focus on electromagnetic processes, electric drive stability, and optimization of steel production systems. The research shows progression from theoretical modeling to practical implementation of control systems, with increasing emphasis on computerized solutions and energy efficiency. Honorary certificate of the October District Administration, Zaporizhzhia, 2008 Dr. Krysan teaches Electric Drive Theory, Computerized Electric Drive Systems, and Electronics and Microprocessor Technology. His educational contributions include developing laboratory stands for asynchronous electric drive research and universal remote control systems for MICROMASTER 440 drives. He has also integrated software tools like Trace Mode into the educational process. His laboratory work focuses on electrical drive systems, particularly for industrial applications including steel production. He has developed specialized test stands for research and educational purposes, contributing to both theoretical understanding and practical implementation of electric drive technologies.

• Electrical Engineering
• Electromechanical Systems
• Electric Drive Systems
• +2 more

Vitaliy Igorovich Reva serves as an Associate Professor in the Department of Information Security and Nano-electronics at Zaporizhia Polytechnic National University's Faculty of Information Security and Electronic Communications. With a Candidate of Physical and Mathematical Sciences degree, his academic career at the university began in 2014 following his 2012 graduation with honors from Zaporizhia National Technical University where he earned a Master's degree in Micro- and nanoelectronic devices and devices. Dr. Reva's research spans multiple domains within nanotechnology and solid-state physics, with particular expertise in plasmonics, cluster physics, and positron behavior in solids. His work demonstrates a strong theoretical foundation combined with practical applications in nanoelectronics and materials science. His publications reveal a consistent research trajectory focusing on nanoscale phenomena, particularly the energy characteristics of metal clusters and plasmonic effects in nanostructures. Analysis of his 15 most recent publications shows a clear progression from fundamental studies of metal clusters and vacancies toward more applied research in plasmonics and nanoelectronics. His work bridges theoretical physics with practical applications in solar cell technology, catalysis, and biomedical applications. The research demonstrates strong international collaboration, with publications appearing in journals covering physics, materials science, and nanotechnology. Dr. Reva teaches courses including Process management in quality assurance, Metrological quality assurance of products, Computer Engineering and Programming, Microprocessor technology, and Programming technologies, reflecting his expertise in both theoretical and applied aspects of micro- and nanoelectronics.

• Solid State Physics
• Nanoelectronics
• Plasmonics
• +4 more

Răzvan UDROIU is an Associate Professor in the Department of Manufacturing Engineering at the University of Transilvania of Brașov, Faculty of Technological Engineering and Industrial Management. His research focuses on additive manufacturing, composite materials, and aerospace engineering applications. Academic affiliation: University of Transilvania of Brașov Department: Manufacturing Engineering Faculty: Technological Engineering and Industrial Management His work primarily investigates additive manufacturing technologies , particularly 3D printing and Polyjet , with applications in aerospace engineering and composite material fabrication. Research themes include quality control in polymer jetting, surface performance analysis, and mold manufacturing optimization. Publication trends show consistent contributions to additive manufacturing since 2011, with recent Q1 journal articles in Polymers and Materials focusing on aerospace applications and composite manufacturing. Key methodologies involve statistical process capability analysis, tooling optimization, and CFRP production.

• Additive manufacturing
• 3D printing
• Composite materials
• +1 more

Dan Rosenberg serves as an Associate Professor in the Department of Automation and Information Technology at the Faculty of Electrical Engineering and Computer Science, Transilvania University of Brașov, Romania. His academic role integrates teaching with advanced research in automation and information systems within the university's engineering framework. His research spans Artificial Intelligence, Control Systems, Smart Buildings, and Photovoltaic Systems, with emphasis on applying computational intelligence to real-world engineering challenges. Key investigations include neural network applications for fire safety systems and reliability testing methodologies for renewable energy infrastructure, demonstrating strong interdisciplinary connections between computer science and sustainable engineering. Recent publications reveal a consistent focus on deep learning techniques for safety-critical systems and photovoltaic technology optimization. His 2022 work on fire detection using regularized CNNs bridges AI theory with practical building safety applications, while his 2016 photovoltaic testing research contributes to renewable energy reliability standards. Though specific student supervision details aren't enumerated, his research profile indicates active mentorship in automation and AI fields. His patented innovations in photovoltaic testing and medical implant technologies suggest significant grant-funded research activity and industry collaboration potential within Transilvania University's engineering ecosystem.

• Artificial Intelligence
• Control Systems
• Smart Buildings
• +3 more

Mihai Mocanu is a Lecturer at the University of Craiova, affiliated with the Faculty of Automatic Control, Computers and Electronics. His work spans machine learning, educational data mining, and medical imaging technologies. Research Interests: He focuses on developing interpretable machine learning models, particularly using decision trees for educational data mining and GIS analysis. His work also includes designing e-learning systems with personalized recommendation workflows and enhancing engagement through data-driven approaches. Notable Contributions: Mihai has pioneered segmentation techniques for 3D medical imaging, created adaptive learning systems with stacked models, and explored social network impact on education. His research integrates pedagogical agents and usability evaluation frameworks in e-learning platforms.

• Machine Learning
• Educational Data Mining
• Medical Imaging
• +3 more