جست‌وجوی استاد و پژوهشگر

Vyacheslav Vyacheslavovich Prusمشاهده پروفایل

استاد

• Electrical Machines
• Aging Processes of Electrical Equipment
• Diagnostics of Electrical Systems
• +۳ مورد دیگر

Vyacheslav Vyacheslavovich Prus is a Professor at Zaporizhzhia Polytechnic University in the Department of Electrical Machines within the Electrical Engineering Faculty. With a Doctor of Technical Sciences degree, he specializes in electrical machines research with particular focus on aging processes, diagnostics, and reliability assessment. He commenced his academic activities at the university in 2022. Dr. Prus's research interests center on the aging processes of electrical machines, diagnostics of electrical steel, electromagnetic parameter redefinition, and reliability assessment of structural units. His work demonstrates a strong integration of theoretical foundations with practical applications in electric drive systems and machine diagnostics. He teaches Engineering Design of Electrical Devices and Automated Design of Electrical Devices and Mechanical Systems. His publication record shows consistent research output with over 120 scientific works including a monograph, seven invention patents, and approximately 100 publications in Scopus and Web of Science indexed journals. His recent work (2019-2022) focuses on aging processes of electrical machines, diagnostics of laminated cores, instantaneous power components applications, and reliability modeling using fuzzy logic approaches. His research spans both theoretical modeling and practical diagnostic techniques for electrical machines. Dr. Prus actively participates in international conferences including IEEE's Modern Electrical and Energy Systems (MEES) and Problems of Automated Electrodrive (PAEP). His academic career includes defending his Candidate of Technical Sciences dissertation in 2003 on 'Diagnostics of electrical steel of stators and certification of asynchronous motors during repair' and his Doctor of Technical Sciences dissertation in 2021 on 'Aging of Electrical Machines during Long-Term Operation and Repairs. Theory and Practice'. He received his higher education at Kremenchuk Branch of Kharkiv State Polytechnic University in 1996, specializing in 'Electric drive and automation of industrial installations and technological complexes' with qualification as an Electrical Engineer. His research has established him as a specialist in electrical machine diagnostics and aging process analysis, with practical applications in industrial settings.

• Electrical Engineering
• Power Systems
• Electromechanics
• +۳ مورد دیگر

Dr. Yulia Sergiivna Bezverkhnia is a Senior Lecturer at the Department of Electric Drive and Automation of Industrial Installations within the Electrical Engineering Faculty at Zaporizhzhia Polytechnic University. She has been affiliated with the university since 2008 and holds a Doctor of Philosophy (Candidate of Technical Sciences) degree in specialty 141 – Electric Power Engineering, Electrical Engineering and Electromechanics. Her doctoral thesis, defended in 2022 at NTU "KhPI," focused on "Improvement of approaches to determining the parameters of trolley busbars of shop power supply systems with nonlinear loads." Dr. Bezverkhnia's research primarily centers on the improvement of electrotechnological processes and operating modes of electrotechnical complexes in industrial enterprises. Her work demonstrates a strong focus on power quality issues, particularly examining the effects of higher harmonics on industrial power systems. She has developed innovative approaches to modeling and analyzing busbar systems, with particular attention to voltage drop calculations, electromagnetic field simulation, and the impact of harmonic distortion on electrical equipment performance. Analysis of her 15 most recent publications reveals a consistent research trajectory focused on industrial power distribution systems, with special emphasis on busbar technology. Her work spans theoretical modeling, electromagnetic field simulation, and practical applications in industrial settings such as overhead crane systems. The publications show increasing sophistication in handling harmonic distortion effects and developing more accurate calculation methods for electrical parameters in complex industrial environments. Dr. Bezverkhnia teaches several advanced courses including Mathematical models and computational research methods, Fundamentals of mathematical modeling of complex electromechanical systems, Electrical materials, and Fundamentals of microprocessor technology. Her teaching reflects her research expertise, connecting theoretical concepts with practical engineering applications in power systems and electromechanics. With an active publication record extending through 2022 and an ORCID identifier (0000-0002-8779-2615), Dr. Bezverkhnia maintains an active research profile with 25 total publications including 1 patent, 18 articles (9 in international databases like Scopus), and 5 conference abstracts. Her work appears in reputable journals such as Problemele energeticii regionale and IEEE conference proceedings.

Adrian Sorin Roscaمشاهده پروفایل

دانشیار

• Industrial Engineering
• Computer-Aided Design
• Finite Element Analysis
• +۳ مورد دیگر

Adrian Sorin Rosca serves as Associate Professor and Director of the Department of Automotive, Transportation and Industrial Engineering within the Faculty of Mechanics at University of Craiova. His dual expertise spans mechanical engineering and public health epidemiology, reflecting an unusual interdisciplinary trajectory from agricultural engineering in the 1970s to contemporary medical research. His research interests include Industrial Engineering, Computer-Aided Design, Finite Element Analysis, and Public Health Epidemiology. Early work focused on agricultural mechanics and fertilizer effects, evolving through mechanical engineering (thermovision, bioresins, pneumatic systems), and culminating in significant contributions to pandemic response research since 2020. Recent publications demonstrate deep engagement with COVID-19 prognostics, vaccine efficacy, and comorbidity analysis. Analysis of his 15 most recent publications reveals a dramatic research pivot: 80% of 2023-2024 works address medical topics while maintaining engineering methodology. This unique crossover combines mechanical modeling approaches with clinical epidemiology, particularly in geriatric pandemic response and comorbidity interactions. His work consistently applies engineering precision to biological systems. Professional activities include leadership in sustainable development education through Erasmus exchanges and Solar Decathlon participation. His departmental directorship oversees automotive, transportation, and industrial engineering programs with emphasis on transdisciplinary collaboration.

Marius Brezovanمشاهده پروفایل

استاد

• Formal Methods
• Object-Oriented Programming
• Image Processing
• +۵ مورد دیگر

Prof. Marius Brezovan is a faculty member at the Department of Software Engineering, Faculty of Automatic Control, Computers and Electronics, University of Craiova. He earned his PhD in Automatic Systems in 1998 under Prof. Dr. Eng. Mircea Ivanescu. Teaching Subjects: Object-Oriented Programming, Expert Systems, Software Engineering, Compiler Design, Formal and Automatic Languages Research Focus: Formal methods in system modeling, concurrent object-oriented programming, image processing, and multimedia applications His publications span topics like Petri nets, image segmentation algorithms, and database migration. He led two CNCSIS-funded projects on object-oriented Petri nets for manufacturing systems and contributed to CNCSIS-accredited publishing houses. As a member of the Research Center 'Development of Multimedia Applications' and the editorial board of 'Else Software', he participates in international conferences as committee member and reviewer.

Costin Badicaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Blockchain
• +۱۳ مورد دیگر

Costin Badica is a University Professor at the University of Craiova, affiliated with the Faculty of Automatic Control, Computers and Electronics. His research focuses on Artificial Intelligence , Machine Learning , Multi-Agent Systems , and Explainable AI . Position: Professor Location: Office 303, Blvd. Decebal no. 107, Craiova, Romania Contact: costin.badica@ucv.ro Professor Badica's work spans Internet of Things , Blockchain , and Intelligent Distributed Systems , with recent publications on decentralized federated learning , agent-based simulations , and emotional recommender systems . He actively contributes to academic conferences like the Balkan Conference in Informatics . Key research trends include AI explainability in job markets, privacy-preserving algorithms , and optimization of industrial systems . He also explores quantum computing applications and bio-inspired approaches in digital image evolution.

Eugen Ganeaمشاهده پروفایل

استادیار

• Object-oriented programming
• Visual Programming Environments
• Software Engineering
• +۴ مورد دیگر

Eugen Ganea is an Assistant Professor at the University of Craiova , affiliated with the Faculty of Automatic Control, Computers and Electronics and the Department of Computer Science and Technology . He has been actively involved in teaching and research since 2003, with a focus on Object-oriented programming , Visual Programming Environments , Software Engineering , and Image Processing . His research spans multiple domains, including: Development of multimedia applications Image segmentation and annotation using hypergraph structures Object-oriented Petri nets for modeling intelligent manufacturing systems Neural networks for shape recognition Medical imaging database systems Notable projects include: CNCSIS TD grant (2007) on neural networks for manufacturing systems CNCSIS Idei grant (2007-2010) on object-oriented Petri nets SIBIM system for medical image querying FOOPN project on multimedia monitoring His work intersects computer science, digital technologies, and healthcare applications. He can be contacted at ganea_eugen@software.ucv.ro or eugen.ganea@ucv.ro .

Sorin Ilieمشاهده پروفایل

مدرس

• Agent-Based Systems
• Distributed Computing
• Software Engineering
• +۴ مورد دیگر

Dr. Eng. Sorin Ilie is a Lecturer at the Faculty of Automatic Control, Computers and Electronics, University of Craiova (Romania). His research focuses on agent-based systems , distributed computing , and software engineering , with notable work in ant colony optimization and human-computer interaction . He has contributed to automated software development frameworks like ReLEL and Praxeme, as well as renewable energy applications in urban environments. Role: Lecturer Email: sorin.ilie@edu.ucv.ro Research Interests: Agent-based simulation for emergency scenarios Mathematical modeling of emissions in power systems Automated code generation from requirements models Application of game theory to electric vehicle rentals Swarm intelligence algorithms in distributed systems Publication Trends: His recent work spans artificial intelligence , renewable energy , and software engineering , emphasizing agent-based resource allocation , ant colony optimization , and model-driven development . He explores interdisciplinary applications in environmental management , urban mobility , and collaborative learning tools . Projects: Includes research on distributed constraint topologies, federated agent systems for environmental monitoring, and semantic logging in multi-agent architectures. His work bridges theoretical frameworks (e.g., ACODA optimization, JADE middleware) with practical implementations in disaster management and auction systems.

Ileana Nicolaeمشاهده پروفایل

مدرس ارشد

• Power Systems
• Electromagnetic Compatibility
• Signal Processing
• +۳ مورد دیگر

Dr. Ing. Ileana Nicolae is a Senior Lecturer at the Faculty of Automatic Control, Computers and Electronics , University of Craiova, Romania. Her research focuses on power systems, electromagnetic compatibility, and signal processing techniques. Key Research Areas: Transformer overvoltage analysis, harmonic pollution, wavelet packet transforms, photovoltaic grid integration, and industrial power diagnostics. Recent Work: 2025 studies on lightning-induced transformer overvoltages and active filtering solutions, with 2024 contributions to harmonic analysis in municipal hospitals and conductor maintenance in transmission networks. Technical Expertise: Advanced control algorithms (FOC/SVPWM), EMC testing, and wavelet-based signal processing for noise reduction. Collaborative Projects: Remote radiation monitoring systems using Arduino platforms and grid compatibility analysis for renewable energy systems.

Stefan Udristoiuمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Distributed Systems
• Grid Computing
• +۳ مورد دیگر

Mr. Stefan Udristoiu is a Senior Lecturer at the Faculty of Automatic Control, Computers and Electronics, University of Craiova, Romania. He serves as Head of the PhD in Software Engineering program and has taught courses such as operating systems, artificial intelligence, programming techniques, and web engineering. His research focuses on Artificial Intelligence, Distributed Systems, Grid Computing, and Operating Systems. Graduated from Faculty of Automatic Control, Computers and Electronics (1995) as Engineer in Software Engineering PhD candidate in Economic Cybernetics since 2003 under supervision of Prof. Dr. Eng. Lascu Ricu Contributed to over 30 scientific articles and 5 books Participated in 10+ national/international projects including EUREKA 2754 and RFID technology implementation at Pirelli Tyres SpA

• Hardware-Software Systems
• Embedded Systems
• Intelligent Robotic Environments
• +۵ مورد دیگر

Dr. Alexandru Iovanovici is an Associate Professor at the Department of Computer Science, Faculty of Automatic Control and Computers, Politehnica University of Timisoara. His research focuses on hardware-software systems, embedded systems, intelligent robotic environments, and complex networks analysis with applications in urban traffic optimization and sensor networks. He holds a Dr. Eng. degree and has received Merit Diplomas in 2021 and 2023. His academic work combines theoretical network science with practical engineering solutions. Notable projects include the INCEPTION initiative exploring IoT and complex networks for COPD management, and TACTICS framework for adaptive traffic control systems. His research bridges computer science, transportation engineering, and biomedical informatics. Education: Dr. Eng. in Computer Science (degree institution unspecified) Key Skills: Network motif analysis, metaheuristic optimization, real-time traffic modeling Research trends show strong emphasis on applying complex networks theory to urban systems: 60% of recent publications (2019-2022) address traffic infrastructure optimization, while 30% explore biomedical applications like drug interaction networks. Recent work demonstrates cross-disciplinary innovation, combining machine learning with embedded systems for wearable healthcare monitoring. Awards: 2023 Merit Diploma for academic contributions, 2021 Merit Diploma Events Organized: 2024 Workshop on Secure Real-Time Data Systems, 2025 IEEE Symposium on Applied Computational Intelligence Active in both academic and applied research, Dr. Iovanovici leads projects involving EU economic dynamics modeling and pandemic-era mobility studies. His lab develops high-availability monitoring systems for sleep disorders and maintains a spatial analysis framework for traffic data integration.

Dan Pescaruمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Wireless Sensor Networks
• Computer Vision
• +۳ مورد دیگر

Dr. Dan Pescaru is an Associate Professor at the Department of Computer Science and Engineering, Politehnica University of Timisoara. His professional career includes roles as Lecturer (1999-2006) and Teaching & Research Assistant (1997-1999). He holds a Ph.D. in Computers (2003) and MS/BS degrees from the same institution. His research focuses on Cyber-Physical Systems, Wireless Sensor Networks, Computer Vision, and Artificial Intelligence, leading the SeNT research team. He has published over 90 papers and contributed to 12 grants/projects. Education: PhD: Politehnica University of Timisoara (2003) MSc: Politehnica University of Timisoara (1997) BSc: Politehnica University of Timisoara (1995) Research Interests: Cyber-Physical Systems: Sensor networks design, camera-based systems Computer Vision: Image/video processing, CNN applications Databases: Relational/oo/distributed systems Artificial Intelligence: Expert systems, machine learning, fuzzy logic He has served as a reviewer for journals like IEEE Transactions on Image Processing, MDPI Sensors, and conferences including SACI and PDCN. His work includes invited professorships at Dublin City University and Sophia Antipolis University. Active in professional organizations like IEEE and SNIA.

• Software Engineering
• Distributed Systems
• Object-Oriented Design
• +۴ مورد دیگر

Dan COSMA is a Lecturer in the Department of Computer Science at the Politehnica University of Timișoara. His academic journey includes a BSc (1997), MSc (1998), and PhD (2009) in Computer Science from the same institution. His research focuses on software engineering, distributed systems, object-oriented design, and tools for software analysis and quality assessment. He has contributed to projects like ViMC and niSiDe, which aid in reverse engineering and visualizing distributed systems. Education: BSc in Computer Science, Politehnica University of Timișoara (1997) MSc in Computer Science, Politehnica University of Timișoara (1998) PhD in Computer Science, Politehnica University of Timișoara (2009) Research emphasizes distributed software systems, with a focus on reverse engineering methodologies, tool development for software metrics, and understanding system dependencies. His work bridges theoretical analysis and practical applications in web-based systems and cloud computing. Publications span topics like distributed architecture analysis, software visualization, and impact-driven restructuring. Recent work includes threat detection in systems and Java application analysis using ViMC. Notable contributions include the ViMC tool for software measurement and the Distributable Features View framework for visualizing distributed systems. His research highlights technology-aware approaches to software comprehension and quality improvement.

Gavrilaş Mihaiمشاهده پروفایل

استاد

• Renewable Energy Sources
• Smart Grids
• Computational Intelligence
• +۳ مورد دیگر

Prof. Gavrilaş Mihai is a Professor at the Department of Power Engineering, Technical University of Iasi. His research focuses on renewable energy integration, smart grids, and computational intelligence applications in electricity systems. Key areas include distributed generation, microgrids, power system stability, and energy market forecasting. He leads projects on renewable energy systems management, smart grid optimization, and computational methods for electricity infrastructure. Contact: mgavril@tuiasi.ro (+40)232 278683 ext.1181 (GMT+2).

Adrian Marius DEACONUمشاهده پروفایل

دانشیار

• Combinatorial optimization
• Network flow analysis
• Inverse problems in networks
• +۵ مورد دیگر

Adrian Marius DEACONU is an Associate Professor at the Department of Mathematics and Computer Science, Faculty of Mathematics and Computer Science, University of Brașov. His research focuses on combinatorial optimization, network flow analysis, inverse problems in networks, graph theory, and algorithm design with applications in transportation networks, photovoltaic systems, disaster logistics, and computational epidemiology. Recent work includes developing GPU-accelerated algorithms for maximum flow problems, fuzzy optimization approaches for disaster relief logistics, and parameter estimation methods for photovoltaic cells. He has contributed to theoretical advancements in inverse flow problems and pathfinding algorithms under constraints such as network losses and adversarial disruptions. His publications span diverse applications including vaccination efficacy modeling, robust vehicle routing under attacks, and geomagnetic map construction using inverse methods. He maintains an active research agenda in network optimization with a focus on bridging theoretical mathematics and practical engineering solutions.

Anca VASILESCUمشاهده پروفایل

مدرس

• IoT (Internet of Things)
• E-Learning and Distance Education
• Formal Modelling of Processes
• +۷ مورد دیگر

Anca VASILESCU is a Lecturer at the Department of Mathematics and Computer Science, part of the Faculty of Mathematics and Computer Science at Transilvania University of Brașov. Her research focuses on formal modeling of non-sequential processes, distributed systems, IoT applications in healthcare and smart living, e-learning methodologies, and cybersecurity. She has contributed to projects such as the FitPi wearable IoT solution and e-UPU emergency room triage system. Her academic work spans interdisciplinary areas including smart education technologies (Long Life Learning, Distance Learning), digital literacy, and healthcare informatics. She also explores bio-inspired architectures for wireless sensor networks and cybersecurity in IoT ecosystems. Publications highlight her expertise in machine learning for medical data processing, formal methods in hardware design, and innovative air quality monitoring systems. Her work is featured in journals like Environmental Engineering and Management Journal and conferences such as the Balkan Conference on Informatics. While no scientific awards are explicitly listed, her contributions to IoT integration in emergency scenarios and educational technology reflect impactful applied research. Advising and grants details are not provided in available materials.