Find Academic Supervisors

• Materials Science
• Tribology
• Welding Engineering
• +3 more

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
• +3 more

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)
• +2 more

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
• +3 more

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).

Carmen AcatrineiView profile

Associate Professor

• Online Advertising
• Social Media Marketing
• Customer Relationship Management (CRM)
• +5 more

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.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +3 more

Călin POPA serves as an Associate Professor at Polytechnic University of Timișoara, with institutional affiliation indicated by his email domain cs.upt.ro (Computer Science unit). He maintains audience hours on Monday and Wednesday from 6:00 PM to 8:00 PM and may be contacted via calin.popa@cs.upt.ro . His research scope centers on foundational Computer Science disciplines, extending into critical modern subfields: Software Engineering methodologies Artificial Intelligence systems development Data Science analytics frameworks Machine Learning algorithm design Computer Networks infrastructure No verifiable details regarding laboratory resources, funding grants, academic awards, or student supervision practices were present in the source material.

Radu DragomirView profile

Researcher

• Theoretical Physics
• Computational Physics
• Quantum Transport
• +4 more

Radu Dragomir is a Scientific Researcher at the National Institute of Materials Physics (NIMP) in Magurele, Romania, affiliated with the Laboratory of Theoretical Physics and Computational Modeling. His work bridges theoretical physics and computational modeling, focusing on quantum phenomena in nanoscale systems. His educational background includes: PhD in Theoretical Physics (2012–2016) from the University of Bucharest's Faculty of Physics, with a summa cum laude thesis on "Transport phenomena and exciton dynamics in optically active quantum dots" under Prof. Dr. Virgil Baran and Dr. Valeriu Moldoveanu. MSc in Computer Tomography (2009–2011) focusing on reconstruction algorithms. Undergraduate training at National Informatics College "Tudor Vianu" in mathematics and informatics. Dragomir's research centers on quantum transport , spin dynamics , and nanoelectromechanical systems , employing advanced methods like k.p theory and configuration interaction . His work reveals critical insights into spin-vibron coupling in single-molecule magnets, exciton dynamics in quantum dots, and quantum turnstile operations in NEMS. Key contributions include identifying Rabi oscillations as fingerprints of spin-vibron coupling and demonstrating how vibron-assisted transitions enable molecular spins to climb anisotropy barriers. Analysis of his 2014–2023 publications shows a consistent trajectory in quantum nanoscale physics, with increasing emphasis on hybrid quantum systems where mechanical, electronic, and spin degrees of freedom interact. His research has significant implications for quantum computing components and nanoscale sensor design. Scientific awards include: 2004: First mention (6th place) at National Physics Olympiad 2004: Qualification for IPHO training group 2004: 1st prize at National Physics Contest "Phi" 2004: 1st prize at Schwartz Physical Memorial Contest 2005: Mention (10th place) at National Physics Olympiad 2005: Qualification (5th place) for IPHO training group 2005: 2nd prize at Advertising Physics Contest No student advisement or grant information is documented in the provided materials. His current work within NIMP's Laboratory of Theoretical Physics and Computational Modeling involves collaborative projects on quantum transport simulations and spin dynamics modeling, often utilizing generalized master equation approaches for open quantum systems.

Simona HalungaView profile

Professor

• Wireless Networks
• Internet of Things
• Communication Systems
• +5 more

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 BottaView profile

Researcher

• Biosensors
• Electrochemical Sensors
• Point-of-Care Diagnostics
• +3 more

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.