جست‌وجوی استاد و پژوهشگر

Popescu Florin Gabrielمشاهده پروفایل

دانشیار

• Energy Security
• Power Systems Engineering
• Electrical Safety
• +۵ مورد دیگر

Popescu Florin Gabriel is an Associate Professor at the University of Petroșani within the Faculty of Mechanical and Electrical Engineering , specifically in the Department of Automation, Computers, Electrical and Power Engineering . He serves as Director of the socio-economic relations center, focusing on interdisciplinary collaboration between academia and industry. His research primarily revolves around energy security, electrical infrastructure resilience, occupational safety in power systems, and sustainable energy integration. Notable areas include critical infrastructure protection for power grids, mitigation of electrical hazards in mines, and modernization of electrical installations. He has extensively studied harmonics in power systems, renewable energy integration challenges, and the strategic role of Romania's energy sector in European security contexts. His publications from 2022–2025 emphasize: Risk assessments for high-voltage substations (e.g., Timișoara, Urechesti) Energy security analyses linking national grids to geopolitical stability Innovative solutions like BCI-based mental state recognition and intelligent greenhouse automation Modernization of university laboratory infrastructure Awards/Grants: No specific awards or grants mentioned in the provided texts. His work is primarily funded through institutional and industrial partnerships. Labs/Teams: Leads the Electroenergetics Laboratory modernization efforts and collaborates with industry partners on electrical safety and automation projects.

Ion Fotauمشاهده پروفایل

استاد

• Electrical Engineering
• Power Systems
• Energy Efficiency
• +۳ مورد دیگر

Prof. Ion Fotau is a Professor at the Politehnica University of Timisoara, affiliated with the Faculty of Mechanical and Electrical Engineering. He leads the Department of Automation, Computers, Electrical and Power Engineering, specializing in electrical systems, energy efficiency, and renewable energy integration. His research emphasizes optimizing power distribution, mining electroenergetic systems, and software applications for energy quality control. Research interests span electrical engineering fundamentals, power systems reliability, and sustainable energy solutions. Notable work includes studies on transformer optimization for mining contexts and the implementation of small hydropower plants within virtual power frameworks. He has contributed to foundational topics like aerial electric line mechanics and industrial electrical reliability. His publications reflect a trajectory from foundational electrical engineering principles to modern applications in energy efficiency and renewable integration. Despite no listed awards or grants, his work demonstrates sustained engagement with critical energy infrastructure challenges.

• Grid Computing
• Cloud Computing
• Computer Networking
• +۵ مورد دیگر

Fărcaş Felix serves as an Associate Professor at the Technical University of Cluj-Napoca since 2001, teaching in the postgraduate school and master's program in Applied Informatics. Concurrently, he has been a researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies (INCDTIM) in Cluj-Napoca since 2006, managing the RO-14-ITIM Grid site and developing the EGI-registered itimcloud platform through the project "Development of the INCDTIM DATA CENTER for the realization of a CLOUD platform, integrated in European CDI networks". His academic credentials include: PhD in Systems Engineering, Technical University of Cluj-Napoca, 2010 Master's in Industrial Informatics, Technical University of Cluj-Napoca, 2001 Bachelor's in Systems Engineering, Technical University of Cluj-Napoca, 1998 His research centers on distributed computing infrastructure with deep expertise in Grid and Cloud Computing, Computer Networking (including IPv6), Network Infrastructure, Infrastructure Monitoring, and Linux Systems Administration. Key contributions include Romania's CONDEGRID project for particle physics computing and enterprise R&D projects involving cloud platform integration with European networks. Technical focus areas consistently align with scientific computing requirements rather than social applications despite "Social Networking Websites" appearing in his expertise list. He coordinates research grants as project leader for national and international programs, manages significant R&D projects for enterprises, and serves as a scientific reviewer. His advisory role primarily involves master's students in Applied Informatics, though specific names are unlisted. At INCDTIM, he operates within the Advanced Hi-Tech Engineering and Molecular Technologies research group, maintaining both the RO-14-ITIM Grid site and itimcloud platform. His work directly supports European scientific computing networks like EGI.

Rîșteiu Marius Nicolaeمشاهده پروفایل

استاد

• Automation Engineering
• Electrical Engineering
• Computer Engineering
• +۳ مورد دیگر

Rîșteiu Marius Nicolae is a Professor and Head of Department at the Faculty of Mechanical and Electrical Engineering, UPET. He holds a PhD and specializes in Automation, Computers, Electrical, and Power Engineering. His research interests revolve around interdisciplinary applications in automation systems, power distribution, and advanced control mechanisms. No academic awards, advised students, or published articles were explicitly mentioned in the provided text. His current role as Department Head indicates active involvement in institutional leadership and curriculum development. Further details on grants, labs, or ongoing projects are not available in the given data.

Popirlan Cristinaمشاهده پروفایل

مدرس

• Numerical Analysis
• Projection Algorithms
• Fixed Point Approximation
• +۷ مورد دیگر

Dr. Cristina Popirlan is a Lecturer in the Department of Computer Science at the Faculty of Exact Sciences, University of Craiova, Romania, where she has served as a University Assistant since October 2011. She holds a PhD in Computer Science from the West University of Timișoara, awarded in 2009 for her work on numerical methods for fixed point approximation of demicontractive operators. Her research focuses on Numerical Analysis , Projection Algorithms , Fixed Point Approximation , Mathematical Statistics , and Diagnostic and Decision Systems , with additional expertise in Microsoft technologies and parallel computing. She has contributed to teaching in areas including Numerical Calculation, Dynamic Systems, Computability, and Distributed Numerical Computing. Dr. Popirlan's academic career began with roles as a teaching assistant and preparator at the University of Craiova, progressing to her current position. She also taught at secondary schools in Craiova from 2003 to 2004 before transitioning to higher education. The available publications and research resources indicate a strong foundation in numerical methods, extrapolation techniques, and recurrence relations, drawing from authoritative texts in the field. However, no specific recent articles are listed in the provided materials. Professional Affiliations: Department of Computer Science, Faculty of Exact Sciences, University of Craiova (2011–present) Faculty of Mathematics and Computer Science, University of Craiova (2004–2011) Dr. Popirlan has not been mentioned as receiving any scientific awards or distinctions in the provided text. There is no information available about graduate students she may have advised or research grants she has led.

Diana Maria Bucurمشاهده پروفایل

استاد

• Energy Engineering
• Hydropower Systems
• Hydraulic Machines
• +۷ مورد دیگر

Diana Maria Bucur is a Full Professor in the Department of Hydraulics, Hydraulic Machinery and Environmental Engineering at the Faculty of Power Engineering, Polytechnic University of Bucharest (UPB). She holds a PhD in Energy Engineering and has been a qualified PhD supervisor since 2022. Her academic career has progressed through all levels from junior assistant professor to full professor, achieved in 2023. Her research focuses on hydropower systems, hydraulic machines, fluid mechanics, and renewable energy technologies . She investigates transient flows, performance analysis of hydraulic installations, environmental impacts, and innovative solutions such as hydrokinetic turbines and water quality improvement devices. Her work bridges theoretical modeling, laboratory experimentation, and real-world applications. The 15 most recent articles reflect a consistent trajectory in hydraulic system dynamics, energy efficiency, and sustainable hydropower . Keywords span mechanical engineering, energy systems, and environmental engineering, with sub-fields including transient flow modeling, turbine optimization, eco-friendly designs, and experimental validation. Her publications demonstrate strong integration of computational, experimental, and applied research methodologies. Scientific Awards: International invention patent awarded at national and international invention fairs Advising and Grants: She is a certified PhD supervisor in Energy Engineering and has coordinated 8 research projects as director or responsible, participating in over 40 scientific and applied research initiatives, many involving industry collaboration. While specific student names are not listed, her supervisory qualification confirms active mentorship. Labs and Research Teams: She conducts research within the laboratories of the Department of Hydraulics, Hydraulic Machinery and Environmental Engineering at UPB. She collaborates nationally with UTCB, UPT, UTI, Hidroelectrica, and ICPE-CA, and internationally with LTU (Sweden), NTNU (Norway), IPG (France), TMU (Iran), and SINTEF (Norway), reflecting a strong network in applied hydropower research.

Eva Kaslikمشاهده پروفایل

استاد

• Fractional Calculus
• Dynamical Systems
• Neural Networks
• +۴ مورد دیگر

Eva Kaslik is a Professor at the Faculty of Mathematics and Computer Science, West University of Timisoara, Romania, with active research contributions in fractional-order dynamical systems and their interdisciplinary applications. Her institutional affiliation includes direct contact via eva.kaslik@e-uvt.ro and office location at Vasile Pârvan Boulevard, No. 4, Timisoara. Research Focus: Her primary expertise spans Fractional Calculus Dynamical Systems Theory Neural Network Modeling Stability and Bifurcation Analysis Mathematical Biology Time-Delay Systems Control Theory She investigates complex behaviors in fractional-order models, particularly addressing non-preservation of periodicity, stability properties of multi-term equations, and emergent dynamics in biological and economic systems. Publication Trends (2022-2025): Her recent work demonstrates concentrated exploration of fractional-order neural networks (Wilson-Cowan, Morris-Lecar), endocrine modeling (pituitary-adrenal axis), ecological dynamics (pest-predator systems), and economic applications (unemployment, oligopoly models). A defining theme is the rigorous analysis of distributed time delays and the unique dynamical phenomena arising in fractional systems compared to integer-order counterparts, with significant contributions to understanding stability boundaries and bifurcation mechanisms. Advising and Infrastructure: While specific student lists and grant details are not provided in source materials, her research output indicates active supervision of graduate projects in mathematical modeling. No dedicated laboratory facilities or named research teams are documented in available information.

• Artificial Intelligence
• Network Administration
• Multi-agent Systems
• +۶ مورد دیگر

Horia Popa is a Lecturer at the Faculty of Computer Science , West University of Timișoara. He has taught courses such as Artificial Intelligence , Network Administration , and Functional and Logic Programming since the 2022-2023 academic year, with additional historical courses dating back to 2011-2012. His teaching emphasizes hands-on lab work, software tools (Jess, CLIPS, WEKA), and project-based learning. Education: Not explicitly mentioned in the text. Research: Focuses on multi-agent systems, distributed constraints, asynchronous search algorithms, and system administration. Research Interests: Horia Popa specializes in Artificial Intelligence and Multi-agent Systems , particularly in asynchronous search techniques and constraint satisfaction problems. His work explores scale-free networks, nogood processors, and distributed execution environments. He also investigates Network Administration (DHCP, firewall configuration, kernel recompilation) and Knowledge Discovery through agent-based modeling. Article Trends: His publications (2001-2015) span Computer Science , Artificial Intelligence , and Multi-agent Systems . Key subfields include Asynchronous Algorithms , Constraint Networks , Protein Folding Simulation , and Kernel-Level System Management . He frequently uses NetLogo for large-scale simulations and integrates Samba/ldap for networked environments. Teaching and Projects: Students in his courses work on projects involving Jess , Prolog , and JADE . Assignments include implementing search algorithms (A*, Hill Climbing, RBFS), configuring NIS and Samba servers, and analyzing system monitoring tools like sar and top . He emphasizes practical implementation and cross-language diversity (e.g., Racket, Prolog).

• Information Technology
• Data Transmission Systems
• Decentralization
• +۳ مورد دیگر

Dr. Galina Hryhorivna Kyrychek is an Associate Professor in the Department of Computer Systems and Networks at Zaporizhzhia National Technical University. With over 25 years of academic service since 1995, her work bridges theoretical and applied computer science, focusing on network infrastructure and wireless systems. Ph.D. in Computer Science Ukrainian and Russian language proficiency Active in international research collaborations Education : Dnipropetrovsk State University (1988) - Physics, Physicist-Teacher Zaporizhzhia National Technical University (2002) - Computer Systems Engineering Research Interests : Her work emphasizes decentralized networks , wireless data transmission , and cloud infrastructure . She explores IoT security , mesh networking , and educational technology , often integrating simulation modeling and optimization techniques. Publication Trends : Recent articles focus on AI-driven network optimization , decentralized mesh networks , and secure remote access . Her work addresses sustainable urban infrastructure and distance learning systems , reflecting interdisciplinary applications of computer science. Technical Expertise : She actively teaches and develops curricula in computer networks , wireless technologies , and network design , maintaining a strong connection between academic instruction and research innovation.

• systems thinking
• artificial intelligence
• cyber-physical systems
• +۶ مورد دیگر

Maria Yurievna Tyagunova is an Associate Professor and Dean at the Faculty of Computer Science and Technology, Zaporizhia National Technical University. She holds a PhD in Computer Systems and has been active at the university since 2006, specializing in cyber-physical systems, artificial intelligence, and neural networks. Education: Master's in Specialized Computer Systems (ZNTU, 2006), PhD in Task Dispatching Methods (2010) Research: Systems thinking, complex systems theory, distributed computing, and AI-driven optimization Teaching: Courses in cyber-physical systems, Industry 4.0, and intelligent systems Her recent publications focus on AI integration in education, decentralized mesh networks, smart infrastructure, and wireless communication challenges. These works reflect trends in scalable systems, real-time data processing, and cybersecurity for critical applications. Contact details include her office at Zhukovsky St., 64, Zaporizhia, Ukraine, with phone +38(061)7642506 and fax +38(061)7642141.

• Materials Science
• Metallurgy
• Foundry Production
• +۴ مورد دیگر

Valeriy Volodymyrovych Netrebko is a Professor at Zaporizhzhia National Technical University, where he has been active since 2003. He is affiliated with the Engineering-Physics Faculty and the Department of Machines and Technology of Foundry Production. As a Doctor of Technical Sciences, he contributes significantly to materials science research with a focus on high-chromium cast irons. His educational background includes: Higher education from Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar, Faculty of Mechanics and Metallurgy (1979) Candidate's degree (1986) with thesis "Increasing the durability of products made of heat-resistant steels" Doctoral degree (2019) with dissertation "Scientific and technological foundations of improving the mechanical and service properties of high-chromium cast irons" Professor Netrebko's research primarily focuses on the analysis of structure formation in high-chromium cast irons to improve their operational and technological properties. His work spans fracture mechanics, wear resistance, corrosion properties, and material behavior under various conditions. He has made significant contributions to understanding how chemical composition and heat treatment affect the performance of cast iron materials used in demanding industrial applications. His recent publications demonstrate a strong trend toward analyzing fracture mechanisms in high-chromium cast irons under abrasive and hydro-abrasive wear conditions. His work combines materials science with practical engineering applications, particularly in industrial construction processes where neural network modeling is increasingly being applied. The research shows progression from fundamental material properties to applied industrial solutions. Professor Netrebko teaches several important courses including Workshop Design, Destruction of Materials during Various Types of Wear, Quality Management System in Welding Production, Project Management, and Physical and Metallurgical Processes in Welding. With over 70 scientific works to his name, including 1 patent, 10 author's certificates, 1 monograph, and 3 textbooks, he has established himself as a significant contributor to his field.

• Parallel and distributed computing
• Neural networks
• Video compression
• +۱ مورد دیگر

Stepan Yuriyovych Skrupsky is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technology, Zaporizhzhya National Technical University (ZNTU). He graduated with honors in 2010 as a Master in Computer Systems and Networks and defended his PhD thesis on "Models and methods of video information compression in distributed computer systems" in 2013 at the Institute of Modeling Problems in Energy. His research focuses on parallel and distributed computing , neural networks , video compression , and artificial intelligence systems . He teaches disciplines such as Computer Architecture, Mobile Application Architecture, and Cloud Technologies. Education : Master in Computer Systems and Networks, ZNTU (2010) PhD Thesis : "Models and methods of video information compression in distributed computer systems" (2013) His scientific works explore parallel computing architectures for AI applications, including neuro-fuzzy models , Internet of Things infrastructure , and rule extraction methods . Publications span topics like big data reduction , medical diagnostics , and software-defined networks . He uses computational intelligence and stochastic optimization for distributed system design. Key trends in his research include parallelization of AI algorithms , resource-efficient distributed systems , and cross-domain applications from medicine to IoT. His articles appear in venues such as Radio Electronics, Computer Science, Control and Automatic Control and Computer Sciences .

• distributed and parallel computing
• blockchain technology
• decentralized platforms
• +۳ مورد دیگر

Тетяна Сергіївна Дьячук є старшим викладачем кафедри комп'ютерних систем та мереж Факультету комп'ютерних наук і технологій Запорізької національної технічної політехніки, де працює з 2006 року після закінчення університету з відзнакою. Вона є активним членом академічної спільноти, зосереджуючись на сучасних напрямках комп'ютерних наук та технологій. Освіта: Запорізька національна технічна політехніка, 2006 рік, спеціальність "Комп'ютерні системи та мережі", кваліфікація "Магістр комп'ютерних систем та мереж" (з відзнакою) Запорізька національна технічна політехніка, 2006 рік, кваліфікація "Менеджер-економіст" Наукові інтереси Тетяни Сергіївни охоплюють ключові напрями сучасних комп'ютерних технологій, зокрема розподілені та паралельні обчислення, блокчейн-технології, децентралізовані платформи та оптимізацію обчислень. Вона також активно займається дослідженнями в галузі Android-програмування та розробки мобільних додатків. Її наукова робота характеризується практичною спрямованістю, що знаходить відображення в численних публікаціях та конференціях. Аналіз наукових публікацій Тетяни Сергіївни показує чітку еволюцію її наукових інтересів від фундаментальних досліджень розподілених систем та алгоритмів планування ресурсів до сучасних технологій блокчейну, штучного інтелекту та автоматизації процесів програмування. Особливо вражає її здатність поєднувати теоретичні дослідження з практичними застосуваннями в різних галузях, від медичної діагностики до розробки мов високого рівня. Наукові досягнення: Понад 15 наукових публікацій в провідних наукових виданнях Активна участь у міжнародних наукових конференціях Реєстрація в наукометричних базах: Scopus, Web of Science, Google Scholar, ORCID Тетяна Сергіївна активно бере участь у науково-педагогічній діяльності, викладаючи курси, що відповідають сучасним тенденціям в комп'ютерних науках. Вона також займається науковою роботою зі студентами, сприяючи їх інтеграції в наукову спільноту через участь у наукових конференціях та проєктах. Незважаючи на те, що конкретні науково-дослідні гранти не зазначені в доступних джерелах, її публікаційна активність та участь у конференціях свідчать про продуктивну наукову діяльність. Хоча конкретні лабораторії або наукові групи, якими керує Тетяна Сергіївна, не зазначені в доступних джерелах, її наукова робота тісно пов'язана з розвитком сучасних технологій розподілених систем та обчислень, що ймовірно відбувається в рамках кафедри комп'ютерних систем та мереж Запорізької політехніки.

• Materials Science
• Tribology
• Welding Engineering
• +۳ مورد دیگر

Serhiy Mykolayovych Popov is a Professor at the Department of Physical Materials Science within the Engineering-Physical Faculty at Zaporizhzhia Polytechnic National University. With over 140 scientific works including 4 patents, 11 certificates, 3 monographs, and 4 educational manuals, he specializes in wear-resistant welded alloy coatings, tribosystem optimization, and social philosophy. Doctor of Philosophy (Social Philosophy, 2012, National Pedagogical University named after M.P. Dragomanov) Candidate of Sciences (Materials Science, 1991, Kharkiv Automobile and Road Institute) Mechanical Engineer (Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar, 1985) His research focuses on multifactor tribosystems , combining systems approach with mathematical optimization of chemical, structural, and mechanical properties of materials. Recent works include abrasive wear analysis of high-chromium cast irons, electroslag process efficiency improvements, and mathematical modeling of welded deposit layers. Scientific recognitions include the USSR Inventor Medal and 'Distinguished Educator of Ukraine' honor. He supervises student research and has received multiple certificates from Ukrainian Ministry of Education for his mentoring excellence.

• Digital systems design on programmable logic chips
• FPGA-based computing acceleration
• Control automata optimization
• +۳ مورد دیگر

Dr. Irina Zeleneva is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technologies, Zaporizhzhia Polytechnic National University. With a Ph.D. in Computers, Systems, and Networks, she has 15+ years of academic experience since joining the university in 2003. Specializes in FPGA-based digital system design Focuses on hardware acceleration and reliability optimization Teaches advanced topics in microprocessor architecture Her research includes: Development of energy-efficient FPGA systems Hardware-software co-design Neural network text classification accelerators Reliable embedded control architectures Recent publications analyze FPGA implementation of floating-point multipliers, finite state machines with elementary state chains, and AI-enhanced educational frameworks . Her work frequently appears in international conferences like IDAACS and PIC S&T, with multiple Scopus/WoS indexed articles. Dr. Zeleneva's contributions: Co-author of two monographs on FPGA acceleration PI in multiple university research projects Active participant in annual "Week of Science" conferences