جستجوی استاد راهنمای دانشگاهی

Ciprian Pungilăمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Operating Systems
• UNIX Programming
• +۳ مورد دیگر

Ciprian Pungilă is a Senior Lecturer at the Faculty of Mathematics and Computer Science , West University of Timișoara, specializing in Software Engineering , Operating Systems , and UNIX Programming . He has supervised multiple courses, projects, and laboratory sessions for Romanian and English informatics classes since 2007, with a focus on design patterns, Java/C++ development, and practical project implementation. His research interests revolve around Software engineering methodologies Operating system design and implementation UNIX/Linux system programming Object-oriented programming patterns . He emphasizes hands-on learning through team projects like the MySQL-XML/XSD Converter and individual assignments requiring strict adherence to coding standards. For contact, students may reach him at cpungila@info.uvt.ro . Laboratories under his supervision cover topics such as process management, file system implementation, XML/XSD conversions, and concurrency control in text editors. Project guidelines stress teamwork, documentation rigor, and innovation in workflow modeling.

• 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.

• 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.

• 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.

• 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.

• 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

• programming and building microprocessor devices
• application programming (Delphi, C++)
• Web programming (.NET, C#, MVC, AJAX)
• +۲ مورد دیگر

Sergey Oleksandrovych Sgadov is a Senior Lecturer in the Department of Computer Systems and Networks at Zaporizhzhia Polytechnic National University. With academic activity at the university since 1998, he has established himself as a dedicated educator and researcher in computer science and microprocessor technologies. His institutional affiliation places him within the Faculty of Computer Sciences and Technologies, where he contributes to both teaching and research initiatives. Education: Graduated from Zaporizhia National University in 1993 with honors, specializing in "Solid-state electronics and microelectronics" and receiving the qualification of "specialist". Dr. Sgadov's research spans multiple domains of computer science and engineering. His primary interests include microprocessor programming, application development using Delphi and C++, web programming with .NET technologies, and computer modeling of physical processes. He has made significant contributions to graph theory, particularly in topological graph drawing algorithms and their applications in printed circuit board design. His work bridges theoretical computer science with practical engineering applications, focusing on creating efficient algorithms for complex computational problems. Analysis of his publication record reveals a strong focus on graph theory applications in electronic design automation, microprocessor systems development, and educational tools for computer engineering. His research has evolved from fundamental theoretical work on graph algorithms to practical implementations in microcontroller programming and educational technology. The consistent thread throughout his work is the application of computational methods to solve complex engineering problems, particularly in circuit design and microprocessor systems. Dr. Sgadov teaches courses in microcontroller programming and programming of microcontroller systems, bringing his research expertise directly into the classroom. His teaching methodology likely incorporates practical, hands-on experience with modern microprocessor technologies, reflecting his research interests in ARM Cortex processors and microcontroller applications.

• molecular dynamics modeling
• artificial intelligence methods
• Data Science
• +۱ مورد دیگر

Dmytro Viktorovych Shyrokorad is a Senior Lecturer at the Department of System Analysis and Computational Mathematics within the Faculty of Computer Science and Technologies at Zaporizhia National Technical University. With a Candidate of Physical and Mathematical Sciences degree and extensive expertise in computational methods and materials science, he contributes significantly to both teaching and research activities at the university since 2017. Dr. Shyrokorad holds three higher education degrees from prestigious Ukrainian institutions: Zaporizhia National Technical University, Faculty of Informatics and Computing Technologies (2012) - Specialist in Systems Analysis Zaporizhia National Technical University, Faculty of Economics and Management (2012) - Financier qualification Zaporizhia National University, Faculty of Mathematics (2012) - Applied Mathematics specialist He defended his Candidate's thesis in Solid State Physics in 2018 at the G. V. Kurdyumov Institute of Metal Physics of the NAS of Ukraine. His research focuses on the intersection of computational physics and artificial intelligence, with particular emphasis on molecular dynamics modeling of nanoscale phenomena and artificial intelligence methods for data analysis. His work bridges theoretical physics with practical applications in materials science and engineering. Dr. Shyrokorad has published extensively on Janus-like nanoclusters, thin film deposition, and neural network applications in various scientific domains. Analysis of his 15 most recent publications reveals a strong research trajectory in computational materials science, particularly in molecular dynamics simulations of nanoclusters and their transformations under various conditions. His work spans both fundamental research in nanoscale phenomena and applied research in data science and machine learning applications. Dr. Shyrokorad actively participates in international conferences, presenting his research findings to the global scientific community. His Google Scholar profile shows consistent scholarly output with increasing impact in his fields of expertise. In addition to his research activities, Dr. Shyrokorad teaches several important courses including "Creating Web resources", "Informatics", "Informatics and computing", and "Computer Engineering and Programming", contributing to the education of the next generation of computer scientists and engineers.

Eduard-Cristian POPOVICIمشاهده پروفایل

دانشیار

• AI-Driven Systems
• Machine Learning
• Cybersecurity
• +۱۱ مورد دیگر

Eduard-Cristian POPOVICI serves as an Associate Professor and Head of the SAIM Lab at the Faculty of Electronics, Telecommunications and Information Technology, Politehnica University of Bucharest. He earned his Ph.D. in Telecommunications in 2001 and previously directed the Telecom Department at the ETTI Faculty. His expertise lies in software architecture and telecommunications. His educational attainment includes a Ph.D. in Telecommunications (2001). Dr. Popovici's research interests are highly diverse and interdisciplinary, covering AI-Driven Systems, Machine Learning, Cybersecurity, Decision Support Systems, Edge and Cloud Computing, Smart Environments and Cities, Space Technologies, Affective Computing, Healthcare, Digital Twins, Omniverse, Microservices, Blockchain, and Quantum Computing. He has made significant contributions to autonomous cybersecurity systems and modern communication networks including 4G/5G, IoT, and blockchain-based solutions. With over 40 research projects to his credit, including more than 20 international collaborations (e.g., BRAVIS, RIWCOS/802.21, BIOMETRIC, FF-RIWER, DEFRAUDIFY4ALL), he has designed frameworks for biometric security, environmental monitoring, distributed videoconferencing, and fraud protection. He founded the SMICES Cybersecurity Master program and currently partners with NVIDIA to build Romania's national AI community. He directs the SAIM Lab (Solutions based on Agility, Innovation & Multidisciplinarity Laboratory), which evolved from the former Services and Applications for Mobile Internet Laboratory (previously supported by NOKIA and SAMSUNG).