جستجوی استاد راهنمای دانشگاهی

• 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.

• 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).

• 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.

• graph theory
• economic and mathematical modeling
• clustering methods
• +۲ مورد دیگر

Anton Yevgenyevich Ryabenko serves as an Associate Professor at the Department of Systems Analysis and Computational Mathematics within the Faculty of Computer Science and Technologies at Zaporizhzhia Polytechnic National University. He has been actively contributing to the university since 2010. His educational background includes a diploma with honors from Zaporizhzhia State Engineering Academy (1999) in economic cybernetics, where he earned the qualification of economist-mathematician. He holds the academic degree of Candidate of Physical and Mathematical Sciences, which he obtained in 2003 from Dnipropetrovsk National University with his thesis titled 'MATHEMATICAL MODELS AND METHODS FOR VECTOR PROBLEMS OF OPTIMIZATION OF ORGANIZATIONAL STRUCTURES AND LAND USE'. Ryabenko's research spans graph theory, economic and mathematical modeling, and clustering methods. His work demonstrates a strong focus on optimization problems and computational approaches to complex systems. He teaches computer science and information systems in management, bridging theoretical knowledge with practical applications. His scholarly contributions include publications in systems engineering, with recent work on dimension reduction and functionality expansion of control automata systems. His research shows consistent engagement with mathematical optimization techniques applied to real-world problems. Ryabenko actively participates in academic conferences, having presented at events such as SAIT 2014 (KPI) on 'Graph-theoretical modeling of the formation of small working groups' and MPZIS-2013 (DNU) on 'Finding the optimal structure of investing in precious metals with the help of linear programming problem solving'. Fluent in both Ukrainian and English, Ryabenko maintains an office in room 361 at the university's main campus on Zhukovsky Street, 64 in Zaporizhzhia.

Carmen Acatrineiمشاهده پروفایل

دانشیار

• Online Advertising
• Social Media Marketing
• Customer Relationship Management (CRM)
• +۵ مورد دیگر

Carmen Acatrinei serves as Associate Professor at the Department of Marketing, Faculty of Marketing, Bucharest University of Economic Studies. With over 15 years of academic experience since joining in 2008, she teaches undergraduate and graduate courses including Direct Marketing, Online Advertising, Social Media Marketing, and Customer Relationship Management in both Romanian and English. Her educational background includes: Postdoctoral Studies in Marketing (2015) PhD in Marketing (2011) Master's Degree in Marketing (2009) Bachelor's Degree in Business Administration (2007) Dr. Acatrinei's research focuses on three interconnected domains: online advertising effectiveness (particularly social media platforms), AI-enhanced CRM systems, and data-driven direct marketing strategies. Her work bridges theoretical marketing frameworks with practical digital applications, emphasizing consumer behavior analysis in online environments and the ethical implications of data usage. She investigates how emerging technologies transform traditional marketing paradigms while maintaining consumer-centric approaches. Her publication portfolio demonstrates consistent thematic focus across digital marketing domains, with recent works examining energy consumption paradoxes in digital societies, gamification mechanics in affiliate programs, and privacy literacy measurement frameworks. The research shows progressive sophistication in methodology, evolving from exploratory assessments toward data mining applications and cross-disciplinary integration with sustainability science. Dr. Acatrinei actively participates in national research projects (POC, PNCDI III, IDEI, PN II) and international Erasmus+ initiatives, contributing to collaborative research teams focused on digital marketing innovation. Her teaching directly incorporates these research insights, creating a synergistic relationship between academic inquiry and educational practice.

Simona Halungaمشاهده پروفایل

استاد

• Wireless Networks
• Internet of Things
• Communication Systems
• +۵ مورد دیگر

Simona Halunga is a Full Professor at the National University of Science and Technology Politehnica Bucharest, Faculty of Electronics, Telecommunications and Information Technology. She leads research in the Wireless Networks and Internet of Things Laboratory, focusing on cutting-edge communication technologies and security aspects. Her research interests span a wide spectrum of modern communication technologies. She specializes in Wireless Networks, Internet of Things, 5G/6G technologies, Signal Processing, and Network Security. Her work particularly focuses on practical implementations of communication systems in challenging environments, including UAV communications, LoRaWAN networks, and secure data transmission. She has made significant contributions to understanding electromagnetic vulnerabilities, TEMPEST security, and the development of secure communication protocols for IoT applications. Her publication record shows consistent focus on emerging communication technologies, with recent work examining the integration of AI and machine learning in network management, optimization of wireless resources, and addressing security challenges in distributed systems. Her research often bridges theoretical concepts with practical implementations, as evidenced by numerous experimental studies and real-world testing campaigns. 212 publications with 44,818 reads 2,233 citations Professor Halunga has been actively involved in numerous research projects, including the EREMI project funded under ERASMUS+ KA203, which focuses on developing advanced interdisciplinary higher education curriculum for resource efficiency in manufacturing. She collaborates extensively with researchers both within her institution and internationally. Her laboratory work encompasses both theoretical research and practical implementation, with significant contributions to understanding electromagnetic vulnerabilities of various devices, development of secure communication protocols, and optimization of wireless network performance in diverse scenarios.

Daciana Bottaمشاهده پروفایل

پژوهشگر

• Biosensors
• Electrochemical Sensors
• Point-of-Care Diagnostics
• +۳ مورد دیگر

Dr. Daciana Botta serves as a Researcher at the National Institute of Materials Physics within the Laboratory of Functional Nanostructures. Her work centers on developing advanced electrochemical biosensors and point-of-care diagnostic platforms utilizing flexible porous substrates including paper and electrospun polymeric fibers. Her research spans electrochemical biosensing , point-of-care diagnostics , and fluid dynamics in porous media with emphasis on genosensor development, nucleic acid detection, and wicking phenomena. She integrates materials science, electrochemistry, and fluid mechanics to create innovative diagnostic tools, particularly focusing on gold-coated electrospun fibers for genosensors and paper-based electrochemical sensors for rapid nucleic acid quantification. Recent publications demonstrate a clear trend toward miniaturized diagnostic devices achieving exceptional sensitivity (5.00 fM for genetic markers) and speed (3-minute assays). Her work optimizes electrode architectures on flexible substrates while addressing challenges in fluid transport, analyte retention, and non-specific adsorption in porous media. Dr. Botta actively contributes to the Laboratory of Functional Nanostructures, where her research advances portable biosensing technologies for clinical diagnostics through interdisciplinary collaboration on electrode design, fluid dynamics modeling, and sensor validation.