جست‌وجوی استاد و پژوهشگر

Artyukh Oleksandr Mykolayovychمشاهده پروفایل

دانشیار

• Automotive Engineering
• Vehicle Dynamics
• Hydrogen Technologies in Road Transport
• +۶ مورد دیگر

Artyukh Oleksandr Mykolayovych is Head of the Department of Automobiles, Heat Engines and Hybrid Power Plants at Zaporizhia Polytechnic National University's Faculty of Transport. He holds the academic title of Associate Professor (docent) and has been active at the university since 2003. He is also a member of multiple academic councils and serves as guarantor for the master's educational program "Wheeled and tracked vehicles." Education: Zaporizhia National Technical University, Transport (1998), specialty 8.090211 "Wheeled and tracked vehicles", qualification "mechanical engineer" Postgraduate studies at National Scientific Center "Institute of Mechanization and Electrification of Agriculture" (1999-2002), specialty 05.05.11 "Machines and means of mechanization of agricultural production" Candidate of Technical Sciences (2002) Professor Artyukh's research focuses on automotive engineering, with particular emphasis on hydrogen technologies in road transport, optimization of vehicle smoothness and vibration reduction, and modeling of work processes for special purpose off-road vehicles. His work bridges theoretical research with practical applications in automotive design, diagnostics, and energy systems. He has made significant contributions to understanding vehicle dynamics, particularly in steering geometry and amphibious vehicle design. His recent publications show a clear trend toward sustainable transportation solutions, with increasing focus on hydrogen technologies, electric vehicle integration, and eco-friendly engine improvements. His research spans traditional automotive engineering while adapting to modern challenges like wartime educational constraints and the need for more environmentally friendly transportation systems. Professor Artyukh is actively involved in academic governance as a member of multiple councils and has participated in numerous international collaborations and internships, including recent training in Poland. He has supervised the development of numerous educational materials and has been instrumental in adapting technical education during challenging circumstances.

• Finance
• Banking
• Insurance
• +۵ مورد دیگر

Iryna Georgievna Pakhomova is an Associate Professor at the Department of Finance, Banking and Insurance within the Faculty of Business Technologies and Economics at Zaporizhzhia Polytechnic National University. With academic activity dating back to 1993, she holds the academic degree of Candidate of Economic Sciences and has established herself as a prominent researcher in financial systems and economic development. Her expertise spans across multiple financial domains while maintaining strong connections with practical applications in Ukraine's evolving economic landscape. Her research interests focus on theoretical and methodological aspects of financial system functioning, international financial markets, and contradictions in financial system development during globalization. Dr. Pakhomova has consistently published scholarly work examining Ukraine's financial infrastructure, including analyses of stock exchanges, banking systems, monetary policy implementation, and investment processes. Her recent publications reveal a strategic shift toward contemporary challenges including digital economy development, financial technologies, compliance frameworks, and mechanisms for ensuring financial stability during wartime conditions. Her teaching portfolio includes core finance disciplines such as Money and Credit, Financial Market, and Financial Services Market. While her publication record shows consistent scholarly output across nearly two decades, her most recent work demonstrates adaptation to current economic challenges facing Ukraine, particularly regarding financial system resilience during wartime. Her research trajectory shows progression from traditional financial analysis toward more contemporary issues of digital transformation, compliance frameworks, and financial security in volatile economic conditions. Dr. Pakhomova maintains active academic engagement through conference participation and scholarly publications, with her most recent work published in 2024 demonstrating continued scholarly productivity. Her academic journey reflects a transition from mechanical engineering education to specialized expertise in financial systems, demonstrating intellectual adaptability and commitment to addressing Ukraine's evolving economic challenges through rigorous academic inquiry.

• Computer Science
• Aerospace Engineering
• Medical Informatics
• +۳ مورد دیگر

Mr. Lucian Barbulescu is an Assistant Professor at the University of Craiova , affiliated with the Faculty of Automatic Control, Computers and Electronics . He graduated from the same faculty in 2003 with an engineering degree in computer science, specializing in English-language instruction. Research Interests : Software engineering for aerospace systems, medical informatics, control theory, neural networks, and simulation environments. Notable Projects : Development of tools for satellite trajectory estimation, dynamic inversion flight control, and medical imaging segmentation. Recent Publications : Focus on cardiac diagnostics, orbit perturbations, and simulation frameworks. Contact : lucian.barbulescu@ucv.ro

• Quantitative data analysis
• Factorial survey approach
• Online teaching
• +۱ مورد دیگر

Luiza Meseșan-Schmitz serves as an Associate Professor in the Department of Social Sciences and Communication at the Faculty of Sociology and Communication, Transilvania University of Brașov, Romania. Her institutional base is located at Eroilor Boulevard 25, Building T, Room TII9, Brașov, with primary contact via email at luiza.mesesan@unitbv.ro. Her research program emphasizes: Advanced quantitative data analysis techniques Factorial survey methodology applications Innovations in digital pedagogy and online teaching Community health promotion frameworks Analysis of her 2013-2023 publication record reveals sustained investigation into pandemic-era societal dynamics, particularly examining digital communication in academic environments, occupational stress in social services, and cross-cultural public health responses. Her methodological signature consistently features quantitative frameworks and factorial survey designs applied to contemporary social challenges. Scientific awards: No honors, prizes, or fellowships were documented in the source material. Advising and grants: The available information does not specify graduate student mentorship, postdoctoral supervision, or externally funded research projects.

Aurica Luminița PARVمشاهده پروفایل

استاد

• Industrial Engineering
• Lean Management
• Supply Chain Management
• +۳ مورد دیگر

Aurica Luminița PARV is a full Professor in the Department of Manufacturing Engineering at the Faculty of Technological Engineering and Industrial Management , Transilvania University of Brașov, Romania. Her academic profile spans industrial engineering, lean operations, and supply chain systems. Current faculty member with active research in manufacturing and sustainability Active contributor to Production Engineering and Industrial Systems literature Research Focus: Professor Parv specializes in advanced manufacturing optimization, integrating Industry 4.0 technologies with sustainable practices. Her work addresses: Smart factory implementations Lean-Sustainability frameworks Agent-based production simulation NDT 4.0 quality systems Supply chain efficiency models Publication Trends: Recent outputs demonstrate cross-disciplinary applications of digital manufacturing technologies. Key themes include: Industry 4.0 sustainability metrics Energy-efficient production design Data-driven quality control Academic-industry collaboration models

Gabriel DANCIUمشاهده پروفایل

مدرس

• Artificial Intelligence
• Big Data Analysis
• Intelligent IoT Systems
• +۳ مورد دیگر

Gabriel DANCIU is a Lecturer at the Department of Electronic and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Banat. His research focuses on Artificial Intelligence, Big Data Analysis, and Intelligent IoT Systems, with particular emphasis on machine learning applications in healthcare, embedded systems, and hardware verification. His work spans disciplines such as automated ML for medical diagnostics (e.g., arrhythmia and pneumonia detection), optimization techniques in FPGA and digital design verification, and IoT-driven environmental monitoring systems. He has contributed to advancements in functional verification using genetic algorithms, adaptive image sensor scaling, and noise pollution tracking via mobile crowd sensing. Publications highlight methodological innovations in blob separation for image segmentation, RGB-D camera scene recognition, and erythema assessment for dermatological evaluation. His research bridges computer science with practical engineering challenges, emphasizing interdisciplinary problem-solving. No scientific awards or grants are explicitly mentioned in the provided texts. He advises no formal students but collaborates on projects involving verification methodologies, AI-driven debugging, and medical imaging systems.

Ioana Cristina PLAJERمشاهده پروفایل

مدرس

• Image processing
• Multispectral imaging
• Artificial Intelligence
• +۷ مورد دیگر

Ioana Cristina PLAJER is a Lecturer at the Department of Mathematics and Computer Sciences, Faculty of Mathematics and Computer Sciences, Transilvania University of Brașov. Her work focuses on image processing, multispectral imaging, artificial intelligence, machine learning, formal languages, and compiler design. She has contributed to both theoretical and applied research, including advancements in spectral data analysis, medical imaging segmentation, and automata theory applications in diverse fields like dog breeding risk assessment and game design. Dr. PLAJER's research explores the intersection of computational methods and real-world challenges, particularly in remote sensing, medical diagnostics, and compiler optimization. Her publications span topics such as satellite data fusion, neural cellular automata for texture synthesis, and deep learning models for improving X-ray angiogram quality. She actively participates in international conferences, presenting work at venues like the IEEE Emerging Technologies and Factory Automation (ETFA) and the International Symposium on Signals, Circuits and Systems (ISSCS). Her technical contributions include developing algorithms for NDVI computation from hyperspectral imagery, creating datasets like DACIA5 for agricultural monitoring, and advancing techniques for tumor segmentation in CT scans. These efforts highlight her commitment to bridging algorithmic innovation with practical applications in healthcare and environmental science.

Simona COMANمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Fractional Order Systems
• Adaptive and Robust Systems
• +۳ مورد دیگر

Simona COMAN is an Associate Professor at the Department of Automation and Information Technology , part of the Faculty of Electrical Engineering and Computer Science at the University of Technical Education in Brașov (UNITBV). Her work focuses on advancing AI applications in medical diagnostics, fractional order systems, and adaptive control mechanisms. She leads research in areas such as cardiovascular signal processing, privacy-preserving AI, and precision medicine frameworks. Her research interests include developing robust systems for non-invasive diagnostics (e.g., heart murmurs detection via AI), enhancing cybersecurity in industrial AI deployments, and creating MATLAB-based tools for anesthesia control. She actively contributes to international conferences and collaborates on projects addressing biomedical systems modeling and stability analysis. Notable achievements include pioneering AI-driven CT scan analysis for pandemic response and co-authoring frameworks for validating AI in precision medicine. Her work bridges theoretical control systems with practical healthcare applications, emphasizing both innovation and rigorous validation standards. Dr. COMAN’s publications span journals in biomedical engineering, electrical systems, and control theory, reflecting her interdisciplinary approach to solving complex technical challenges. She maintains an active role in academic and industrial partnerships, fostering advancements in automation and information technology.

Adrian Virgil CRĂCIUNمشاهده پروفایل

دانشیار

• Electronic circuits analysis and design
• Electronic devices and circuits modeling
• Data acquisition systems
• +۷ مورد دیگر

Adrian Virgil CRĂCIUN is an Associate Professor at the Department of Electronic and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brașov. His research focuses on analog electronics, electronic circuit modeling, and data acquisition systems. He has published extensively on topics like VHDL-based filter design, low-power amplifiers, and FPGA security. His work includes both theoretical contributions and practical implementations in medical electronics and embedded security systems. Education Background: No explicit education details provided in text Research Interests: Dr. CRĂCIUN specializes in electronic circuit analysis and design, with emphasis on analog systems. His work integrates hardware security (PUF-based solutions), low-power medical electronics, and advanced simulation techniques using VHDL. Recent efforts focus on optimizing power consumption in complex integrated circuits and developing robust FPGA identification methods. Grants & Collaborations: No grant information explicitly stated Labs & Teams: Participates in university-based electronics research groups focused on analog circuit design and embedded systems security.

Mihai Lucanuمشاهده پروفایل

استاد

• Multi-level voltage source inverters
• Pulse duration modulation by space vector modulation
• Power factor correction converters
• +۲ مورد دیگر

Mihai Lucanu is a Professor at the Gh. Asachi Technical University of Iasi , serving as Dean of the Faculty of Electronics and Telecommunications. His academic work focuses on advanced power electronics and electromagnetic phenomena. Subjects taught: Industrial Electronics, Power Electronics, Pulse Width Modulation Techniques Research areas: Power Converters, Fuzzy Controllers, Electromagnetic Scattering Research Highlights: His expertise spans power electronics optimization, including soft switching converters , power factor correction , and multi-level inverters . In computational electromagnetics, he specializes in Wave Iterative Process simulations for complex scattering problems. Academic Output: His publications cover topics from high-frequency AC choppers to electromagnetic diffraction analysis, with recent 2025 work on voltage ripple and neural network implementations in 3D semiconductor technology. Contact: mlucanu@etc.tuiasi.ro

• Control Systems
• Electrical Engineering
• Automotive Engineering
• +۳ مورد دیگر

Lazar Alexandru is an Associate Professor at the Technical University of Iasi, specializing in control systems and electrical engineering. His research focuses on predictive control, model-free algorithms, and their applications in automotive systems, electric machines, and robotics. He has published extensively on topics such as motor control, vehicle platooning, and industrial automation. His work emphasizes practical implementation and simulation using tools like MATLAB and LabVIEW. Research interests include advanced control strategies for electric drives, nonlinear systems, and data-driven methods. His contributions span theoretical development and experimental validation, with a particular emphasis on automotive and aerospace applications. His articles explore predictive current control, model-free adaptive systems, and real-time control architectures. Despite his prolific output, no awards or grants are explicitly mentioned in the text. Advising details are also unavailable, though his work suggests involvement in graduate research projects.

Radu-Mihai COLIBANمشاهده پروفایل

دانشیار

• Digital Signal Processing
• Digital Systems Design
• Hyperspectral Image Processing
• +۴ مورد دیگر

Radu-Mihai COLIBAN is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, University of Technical Education of Braila. His research focuses on digital signal processing, digital systems design, and hyperspectral image processing with applications in remote sensing, FPGA implementations, and image segmentation. He has contributed to projects like the ATLAS New Small Wheel detector electronics and developed novel methods for hyperspectral visualization and fractal analysis. Education: PhD in Electronics/Computer Science (inferred from academic rank) Advanced training in FPGA design and signal processing techniques Research Interests: Signal Processing: Digital systems, FPGA-based implementations, and real-time signal analysis Image Analysis: Hyperspectral/multispectral data processing, segmentation algorithms, and color texture characterization Applications: Agricultural monitoring, medical imaging, and high-energy physics instrumentation Publications Trends: Recent work emphasizes hyperspectral image processing (e.g., band selection, segmentation) and FPGA-accelerated algorithms (e.g., modular arithmetic, 8b/10b encoding). His 2023-2025 publications show a focus on agricultural datasets (DACIA5), polarization-based analysis, and environmental monitoring. Lab/Teams: Involved in interdisciplinary projects combining signal processing with remote sensing and hardware design. Likely collaborates with the ATLAS experiment team and local/ international research groups in fractal analysis and image denoising.

Hannelore Liseiمشاهده پروفایل

دانشیار

• Probability Theory
• Stochastic Analysis
• Statistics
• +۴ مورد دیگر

Assoc. Prof. Hannelore Lisei holds a position at Babeş-Bolyai University's Department of Mathematics (Faculty of Mathematics and Computer Science) in Cluj-Napoca, Romania. She specializes in Probability Theory, Stochastic Analysis, and Numerical Analysis. Her research includes stochastic partial differential equations, optimal control, and variational calculus. She has organized multiple international conferences on numerical analysis and approximation theory and contributed to projects funded by the Deutsche Forschungsgemeinschaft (DFG) and Romanian national grants. Notable works include co-editing volumes on stochastic equations and authoring textbooks on probability theory. Professional experience includes teaching at TU Berlin and leading research teams in applied mathematics. Education and Professional Experience: Lecturer in Analysis at Technical University Berlin (Germany) Lecturer in Numerical Analysis, Probability, Statistics at Babeş-Bolyai University Research Interests: Focuses on stochastic processes, optimal control of PDEs, and applications in physics. Her work bridges theoretical mathematics with practical problems in engineering and environmental science. Grants and Projects: DFG-funded projects on stochastic dynamical systems (Germany) National grants in Romania (e.g., CNCSIS, CEEX) for stochastic differential equations and numerical methods Organizational Roles: Member of organizing committees for international conferences on numerical analysis and stochastic phenomena since 2006.

Gabriel BABYمشاهده پروفایل

دانشیار

• Occupational Health and Safety
• Industrial Risk Management
• Mining Engineering Safety
• +۳ مورد دیگر

**Gabriel BABY** is an Associate Professor at the Faculty of Mining , Politehnica University of Timisoara , in the Department of Management and Industrial Engineering. His research focuses on occupational health and safety, industrial risk assessment, and safety management systems in high-risk industries such as mining, manufacturing, and telecommunication. He specializes in human error analysis, chemical risk evaluation, and the integration of AI in ergonomic design. His work addresses legislative frameworks for occupational safety in Romania, emphasizing proactive risk management and compliance with international standards. Recent projects include case studies on multinational company risk assessments and safety protocols for working at heights in telecommunication operations. He has contributed to developing safety databases and tools for coal mining and military structures, highlighting the importance of safety culture and data-driven decision-making. Education**: PhD (title not specified in text). Research Interests**: Industrial safety, occupational risk assessment, mining safety engineering, ergonomic systems, and regulatory compliance in hazardous industries. Key Contributions**: Over 30 peer-reviewed articles on risk mitigation, safety protocols, and technological applications in safety management. His work bridges theoretical frameworks with practical tools for industries facing specific risks like methane accumulation, chemical exposure, and workplace accidents. Awards**: None explicitly mentioned in the provided text. Grants/Projects**: Focus on EU-funded projects related to occupational safety in mining and manufacturing sectors (details not specified). Labs/Teams**: Involved in safety research groups at the Faculty of Mining, collaborating with industry partners on risk assessment methodologies and safety training programs.

Stoicuta Olimpiuمشاهده پروفایل

دانشیار

• Control Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Associate Professor Olimpiu Stoicuta is affiliated with the Polytechnic University of Timișoara's Faculty of Mechanical and Electrical Engineering, Department of Automation, Computers, Electrical and Power Engineering. His research focuses on advanced control systems for electrical motors, renewable energy integration, and econometric analysis of energy policies. He has extensive expertise in sensorless vector control, induction motor modeling, and optical communication technologies. Education details are not explicitly stated in the provided text, but his work indicates a strong background in electrical engineering and control systems. He has published widely on topics including adaptive observers, energy transformation systems, and underground communication solutions. His research interests span multiple domains: (1) Electrical Engineering with emphasis on motor control and power electronics; (2) Renewable Energy focusing on system integration and efficiency improvements; (3) Data Communication involving LiFi and optical networks for industrial applications; and (4) Econometric Modeling related to energy policy analysis in Romania and the EU. Recent publications (2020-2025) highlight trends in AI-driven network optimization, sensorless motor control advancements, and energy policy studies. Articles frequently address practical engineering challenges like underground communication reliability and EV autonomy enhancement. No specific awards or grants are mentioned, though his prolific publication record suggests sustained research activity. Laboratory and team involvement can be inferred through his work on robotics (exoskeleton control) and collaborative projects in industrial automation systems.