جست‌وجوی استاد و پژوهشگر

• modeling of the educational process
• information technology in education
• databases
• +۳ مورد دیگر

Natalia Volodymyrivna Shcherbak serves as a Senior Lecturer in the Department of Computer Systems and Networks at Zaporizhia State Technical University's Faculty of Computer Science and Technology, where she also holds the position of Deputy Dean. With over two decades of academic experience since joining the university in 2001, she has established herself as a dedicated educator and researcher in computer science. Dr. Shcherbak graduated from Zaporizhia State Technical University in 2001 with a specialty in "Computer systems and networks" and a qualification as "systems engineer." Her educational background has provided the foundation for her academic career focused on computer science education and research. Her research interests span several key areas including modeling of the educational process, information technology in education (particularly Learning Management Systems), databases, web services, and Service-Oriented Architecture (SOA). Her scholarly work demonstrates a consistent connection between theoretical computer science concepts and practical educational applications, with particular emphasis on developing methodologies for assessing educational quality and optimizing learning experiences through technology. Analysis of her publication trends from 2014-2024 reveals a strong research trajectory in web services quality assessment, decision-making methods for service selection, and educational process modeling. Her recent work (2022-2024) advances multi-criteria decision-making methodologies for QoS-based web service environments, while her earlier publications (2016-2018) focus on test task quality assessment methods and educational resource development. Quality assessment methodologies for web services Educational process modeling and optimization Test task quality and complexity evaluation Computer science curriculum development Throughout her career, Dr. Shcherbak has taught a diverse range of computer science subjects including Assembly language programming, database organization, algorithms and calculation methods, programming, computer logic, and modern programming methods. Her teaching portfolio demonstrates expertise across both theoretical foundations and practical applications in computer science education.

Adriana Guranمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Software Engineering
• Web Technologies
• +۲ مورد دیگر

Adriana Guran is an Associate Professor at the Computer Science Department within the Faculty of Mathematics and Computer Science at Babes-Bolyai University in Cluj-Napoca, Romania. She holds a PhD in Computer Science from the same university, earned in 2008 with distinction ( cum laude ). Her academic journey includes a B.Sc. (2001) and M.Sc. (2002), both completed with top honors. Her research focuses on Human-Computer Interaction (HCI) , software ergonomics , and web technologies , with emphasis on usability evaluation, task modeling, and agent-based systems. Recent publications explore Aspect-Oriented Programming (AOP) for automated usability testing and agent-based predictive modeling for interfaces and pandemic spread. Key trends include interdisciplinary applications in healthcare, energy systems, and adaptive user interfaces. She teaches courses in Algorithmics, Object-Oriented Programming, and Compiler Design, and has supervised practical works for undergraduate and master's students. No grants or awards are documented in available sources.

Dominik Knollمشاهده پروفایل

استادیار

• Model-Based Systems Engineering
• Concurrent Design
• Space Systems Engineering
• +۴ مورد دیگر

Dominik Knoll is an Assistant Professor at the Faculty of Mathematics and Computer Science, Babeș-Bolyai University in Cluj-Napoca, Romania, teaching undergraduate computer science courses since March 2023. His instructional portfolio includes Formal Languages and Compilers (Autumn 2020-2022), Object-Oriented Programming in C++ (Spring 2021-2023), and Computer Architecture (Autumn 2021-2022), delivered primarily in German language to international students. His academic credentials comprise: PhD in Engineering Systems (2014-2019) from Skoltech with thesis Model-based Processes and Tools for concurrent conceptual design of space systems MSc in Applied Computer Science (2004-2007) from University of Salzburg, passed with distinction BSc in Applied Computer Science (2000-2003) from University of Salzburg Knoll's research centers on Model-Based Systems Engineering (MBSE) and concurrent design methodologies, with specialization in aerospace applications. He pioneered the open-source CEDESK tool for collaborative design and has extensive experience in adapting MBSE frameworks to industrial contexts. His work bridges theoretical systems engineering with practical software tool development, emphasizing traceability across engineering lifecycles and cross-disciplinary data integration. Analysis of his 15 most recent publications (2007-2024) reveals an evolving research trajectory from robotics and communications engineering toward comprehensive MBSE frameworks. Recent works (2021-2024) focus on digital thread implementation, PLM-MBSE integration, and traceability in mechatronic systems, while earlier aerospace publications document high-altitude balloon experiments and concurrent design tool development. The corpus demonstrates consistent emphasis on solving data exchange challenges in multi-domain engineering environments. His scientific recognition includes: Stanford Global Balloon Challenge (2015) for inter-balloon communications experiments As an academic advisor, Knoll mentors bachelor students through structured thesis projects in privacy-by-design applications, distributed systems, and academic publication tools. His industrial engagement includes managing a 15-month research project for a major European aerospace company on technology roadmapping adaptation. He maintains active industry collaboration seeking solutions to complex engineering challenges. Knoll established Skoltech's concurrent design facility infrastructure and operations during his doctoral studies. Beyond academia, he co-founded the NGO New Humanity and contributes to the United World Project, promoting intercultural dialogue through initiatives like language exchange programs and community gardening. His technical proficiency spans Java, C++, Python, and web technologies with professional multilingual capabilities (German, English, Italian, Russian, Romanian).

• Power Systems
• Electromechanical Systems
• Neural Networks in Power Engineering
• +۲ مورد دیگر

Shylo Serhiy Ivanovych serves as a Senior Lecturer and head of the educational department at Zaporizhzhia Polytechnic National University's Electrical Engineering Faculty, Department of Electrical Machines. Holding a Candidate of Technical Sciences degree (PhD equivalent), he has been actively contributing to academia since 2004 after completing his Master's in Electromechanics at the same institution. His research spans Power Systems Engineering , Neural Network Applications in transformer diagnostics and medical imaging, and Air Traffic Control Systems . Notable collaborations include IEEE publications on university ecosystem development and predictive modeling for power oil-filled transformers. His work demonstrates strong interdisciplinary connections between electrical engineering, artificial intelligence, and transportation safety systems. Scientific contributions include: Neural network synthesis for medical diagnostics and CAD integration Information modeling for air traffic management Renewable energy integration models High-voltage equipment analysis As an educator, he teaches advanced courses including High Voltage Electrical Devices, Electromechanical Systems Modeling, and Power Electronics, while maintaining active research through ORCID, Scopus, and Web of Science profiles. His technical expertise bridges theoretical research with industrial applications in energy systems.

Maryna Viktorivna Gudzمشاهده پروفایل

استاد

• Management theory
• Personnel management
• Regional management
• +۴ مورد دیگر

Maryna Viktorivna Gudz is a Professor at the Department of Economics and Customs within the Faculty of Business Technologies and Economics at National University Zaporizhzhya Polytechnic, Ukraine. With a Doctor of Economic Sciences degree (2011) and professor title (2014), she specializes in Management Theory, Personnel Management, Regional Development , and Behavioral Economics . PhD in Economics (2011), Doctoral Dissertation on seaside resort areas Candidate of Sciences in History (1992) Her research focuses on socio-economic systems , digital transformation , and post-war economic recovery . Recent work includes HR management in behavioral economies, digitalization during wartime, and coastal region competitiveness. She has published 298 scientific papers, including 23 monographs and 8 Scopus/Web of Science articles. Scientific awards include Ukraine's Ministry of Education Certificate (2012) , 'Distinguished Educator' badge (2024) , and multiple institutional recognitions. She participates in EU projects like Erasmus+ IMEU and coordinates international initiatives.

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.

• Programming Languages and Compilers
• E-learning
• Object-Oriented Programming
• +۴ مورد دیگر

Ciprian-Bogdan Chirila is an Associate Professor at the University Politehnica of Timisoara , affiliated with the Faculty of Automation and Computer Science . He has been with the institution since 2001, progressing from Teaching Assistant to Vice-Dean and UPT Senate Member. His academic roles include teaching Fundamental Concepts of Programming Languages Compiler Design Heuristic Methods Web Applications Security Research Interests focus on programming languages (especially Eiffel) and e-learning innovations. He pioneered reverse inheritance for class hierarchy optimization and developed Auto-generative Learning Objects (AGLO) for dynamic educational content. His work bridges theoretical programming language design with practical educational technology solutions. Recent Publications highlight reverse inheritance implementations in Eiffel (2007-2013) AGLO frameworks for data structures assessment (2017) game-based educational resources (2015) showing consistent focus on code reuse and intelligent learning systems. Scientific Recognition includes 2007 National Competition Grant (>10,000$) 2014 Postdoctoral Scholarship multiple Merit Diplomas Academic Leadership roles: Vice-Dean (2016-2020) UPT Senate Representative (2012, 2016) PhD Thesis Director (2017)

• Programming Languages
• Compilers
• E-learning
• +۳ مورد دیگر

Ciprian-Bogdan Chirila is an Associate Professor at the Faculty of Automation and Computers, University Politehnica Timisoara (UPT), within the Computers and Information Technology Department. He holds a Dr. Eng. degree and has served as Vice-Dean of the Faculty since 2016. His academic roles include teaching courses in compiler design, programming languages, and heuristic methods at both bachelor and master levels. Chirila’s research focuses on programming language mechanisms (especially reverse inheritance in statically typed OOP languages) and e-learning innovations such as Auto-Generative Learning Objects (AGLO). Education: PhD (cotutelle with University Nice Sophia-Antipolis, 2010), Master’s in Computer Science (UPT, 2002), and Engineer diploma (UPT, 2001). Research emphasizes bridging theoretical programming language constructs with practical educational applications. His notable projects include the RoNaQCI national quantum communication initiative and AGLO frameworks for adaptive learning. Awards include Microsoft’s recognition at Student Scientific Communications (2001) and third place in MecRob’98 robotics contest. Leadership roles include Senate membership at UPT and supervision of interdisciplinary teams. Active in curriculum development, he has designed automated systems for academic records and plagiarism detection, leveraging Java/SpringBoot frameworks.

• Discrete Optimization
• Graph Theory
• Fuzzy Logic Systems
• +۴ مورد دیگر

Elina Valentynivna Tereshchenko serves as Associate Professor and Head of the Department of Systems Analysis and Computational Mathematics at Zaporizhzhia Polytechnic National University's Faculty of Computer Science and Technologies. Holding a Candidate of Physical and Mathematical Sciences degree (equivalent to PhD), she graduated from Dnipropetrovsk State University in 1992 with specialization in 'automatics and control in technical systems'. Her research spans discrete optimization , graph theory , and fuzzy logic systems , with recent publications focusing on ontology engineering, team formation algorithms, and agricultural data analysis. Current projects include ontology control systems in Neo4j (2025), competition-based team optimization models (2024), and sunflower cultivation ontologies for Ukrainian agricultural contexts. Her 15 most recent publications (2022-2025) reveal strong interdisciplinary work connecting computer science with agricultural informatics, cybersecurity, and economic modeling. Key trends include graph-theoretic formulations for team formation, fuzzy logic applications in access control, and optimization under resource uncertainty. Professional affiliations include: ORCID: 0000-0001-6207-8071 Scopus: 57202151469 Google Scholar: https://scholar.google.com/citations?user=DwEYAVcAAAAJ&hl=uk She teaches core subjects including discrete mathematics , optimization methods , algorithm theory , and decision-making theory . Her departmental leadership involves developing educational programs such as the bachelor's curriculum 'Intelligent Technologies and Decision Making in Complex Systems' (2021). Research infrastructure includes work on the HELIANTHUS ontology for sunflower cultivation and analytics modules for war damage assessment systems. Current projects integrate graph theory with competitive dynamics for high-performance team design.

• Automating Design and Diagnosis of Information Systems
• Computer Graphics
• Web Technologies

Konstantin Nikolaevich Kasyan serves as Associate Professor at the Department of Computer Systems and Networks within the Faculty of Computer Science and Technologies at Zaporizhzhia National Technical University, where he has maintained academic activity since 1998. He graduated with honors from Zaporizhzhia Machine-Building Institute's Faculty of Electronic Engineering in 1993, specializing in Radio Engineering with qualification as Radio Engineer. His Candidate of Sciences degree (defended 1998/1999) established his expertise in diagnostic methodologies for electronic systems. His research spans three core domains: automating design and diagnosis of information systems, computer graphics methodologies, and web technologies. This interdisciplinary focus manifests in practical applications ranging from hardware diagnostics to smart home systems. His work demonstrates consistent evolution from foundational electronics reliability research in the 1990s toward contemporary IoT and computer vision applications. His publication trajectory reveals distinct chronological phases: 1990s-2000s concentrated on electro-radio diagnostics and reliability engineering; 2000s-2010s expanded into computer graphics and text recognition; while 2010s-2021 shifted toward IoT integration, smart home technologies, and machine learning applications. This progression reflects both technological advancements and his adaptability across computing subfields. Kasyan teaches modern Internet technologies, computer graphics, computer systems design, and computational methods in scientific research, directly translating his research into pedagogical practice. His academic presence is maintained through Scopus, Web of Science, Google Scholar, and ORCID profiles, indicating active scholarly engagement despite the absence of formal awards or documented grants in available records.

• 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

• text processing algorithms
• classification of texts
• data processing and analysis
• +۳ مورد دیگر

Голуб Тетяна Василівна serves as an Associate Professor in the Department of Computer Systems and Networks at Zaporizhzhia National Technical University's Faculty of Computer Science and Technologies. With over 12 years of academic experience since joining the university in 2011, she specializes in computer electronics, computer circuitry, signal and image processing, and reliability of computer systems. Dr. Golub's research focuses on text processing algorithms, text classification, and data processing with particular emphasis on hardware acceleration using FPGA technologies. Her work bridges theoretical computer science with practical engineering applications, developing efficient methods for natural language processing tasks through specialized hardware implementations. She has pioneered approaches to optimize text classification speed while maintaining accuracy through innovative vector space modeling and stemming algorithms. Her publication record shows a strong trajectory from foundational work on text classification methods (2019) through hardware acceleration techniques (2020-2021) to current research on AI applications in education and neural network-based classification systems (2023-2025). The research demonstrates consistent focus on improving computational efficiency of text processing systems while expanding into educational technology applications. Dr. Golub maintains active scholarly presence with verified profiles on Scopus (ID: 57189328111), Web of Science (Researcher ID: G-9688-2019), Google Scholar, and ORCID (0000-0001-6024-008X), reflecting her commitment to academic transparency and international scholarly communication. She teaches core computer engineering subjects while conducting research that combines theoretical computer science with practical hardware implementation. Her laboratory work in computer electronics provides students with hands-on experience in circuit design and digital systems. Fluent in English, Ukrainian, and Russian, Dr. Golub operates from room 53b at the university's Zaporizhzhia campus (69063, Ukraine, Zhukovsky Street, 64).

• Philology
• Ukrainian Language Studies
• Literary Analysis
• +۳ مورد دیگر

Iryna Oleksandrivna Voronyuk is an Associate Professor at the Department of General Language Training within the Humanities Faculty of Zaporizhzhia Polytechnic National University. She holds a Candidate of Philological Sciences degree, which is equivalent to a PhD in the Western academic system. Her academic work focuses on Ukrainian language studies, literary analysis, and the cultural phenomena surrounding national identity and emigration literature. Dr. Voronyuk's research interests include "Prophecy" as an ideological and cultural phenomenon, national ideas, emigration literature, and the culture of the word. Her scholarly work demonstrates a deep engagement with Ukrainian literary traditions, particularly examining how national identity is expressed through literature, especially among Ukrainian writers in the first wave of emigration. Over the past decade, Dr. Voronyuk has published extensively on topics ranging from Ukrainian terminology development to media literacy in higher education. Her recent work has expanded to address contemporary issues such as information security during martial law in Ukraine, reflecting her ability to connect traditional philological research with current societal challenges. Her publications appear in professional journals from various Ukrainian academic institutions including Zaporizhzhia State University and the Zaporizhzhia Center for the Study of the Ukrainian Diaspora. Dr. Voronyuk has received recognition for her scholarly contributions through her ORCID (0000-0003-2900-7700), Google Scholar, and Web of Science ResearcherID profiles, indicating her active participation in the academic community. Her work has been cited by other scholars, contributing to ongoing discussions in Ukrainian philology and cultural studies. As an educator, Dr. Voronyuk teaches "Ukrainian Language and Literature" and "Ukrainian language for professional purposes," helping students develop both general and specialized language competencies. Her teaching approach appears to integrate traditional philological methods with contemporary educational technologies, as evidenced by her research on brainstorming techniques for enhancing student motivation.

Nicholas Evangelopoulosمشاهده پروفایل

دانشیار

• Latent Semantic Analysis
• Text Mining
• Information Systems
• +۳ مورد دیگر

Nicholas Evangelopoulos is an Associate Professor in the Information Technology and Decision Sciences department at the University of North Texas. His academic career spans over a decade with consistent research contributions in information systems and text mining methodologies. Dr. Evangelopoulos's research focuses on Latent Semantic Analysis (LSA) and its applications across various domains. His work bridges theoretical methodological developments with practical applications in areas including: Text mining and analysis of unstructured data Quality management and customer feedback analysis E-democracy and citizen engagement Information systems research methodology Sentiment analysis and public agenda setting His publication record from 2007-2014 demonstrates consistent scholarly output with a focus on methodological innovations in text analysis and their practical applications. Dr. Evangelopoulos has contributed to understanding how textual data can be leveraged for quality control, government decision support, and analyzing public discourse on social issues like human trafficking. Notable contributions include: Methodological improvements to Latent Semantic Analysis including orthogonal rotations Applications of text mining to e-democracy and citizen feedback analysis Integration of LSA with quality control methodologies Studies on research diversity within the information systems discipline Dr. Evangelopoulos frequently collaborates with researchers like Anna Sidorova, suggesting a collaborative research approach. His work demonstrates both theoretical contributions to methodology and practical applications across multiple domains, positioning him as a researcher who effectively bridges academic theory with real-world problems.