جست‌وجوی استاد و پژوهشگر

• 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).

• Engineering Graphics
• Computer-Aided Design
• Mechanical Engineering
• +۳ مورد دیگر

Marianna Vasylivna Skorobogata is a Senior Lecturer at Zaporizhzhia Polytechnic National University, specializing in the Department of ITZ and MK. She has been active in her academic role since 2004, focusing on engineering graphics and computer-aided design education. Her work emphasizes pedagogical methods for student engagement and technical visualization. Position: Senior Lecturer Department: ITZ and MK University: Zaporizhzhia Polytechnic National University Her research interests span: Engineering Graphics Computer-Aided Design Mechanical Engineering Propulsion Systems Thermodynamics Manufacturing Technology Scientific publications reveal expertise in propulsion theory, thermodynamic cycles, and dimensioning techniques in technical drawings. Conference participation highlights her focus on pedagogical innovation and student self-study methodologies. She holds an ORCID: 0000-0002-3296-5515 and maintains a Google Scholar profile. Her educational background includes a mechanical engineering degree from V.Ya. Chubar Mass Media (1990), with specialization in Metal-cutting machines and tools.

• 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.

• Analytical Chemistry
• Organic Chemistry
• Gas Chromatography
• +۶ مورد دیگر

Dr. Covaciu Florina Dorina is a Recognised Researcher (R2) at the Institute for Isotopic and Molecular Technologies (ITIM-CJ), part of the Romanian Academy in Cluj-Napoca. She works in the Department of Isotopic and Molecular Technologies within the Research Team for Isotopic, Elemental and Molecular Fingerprinting. Her office is located in Building A, Room A1.13, and she can be reached at (+40)264-584037, extension 131. Her research focuses on applying analytical chemistry techniques to food quality control, environmental monitoring, and contaminant detection. Dr. Covaciu specializes in gas chromatography, isotopic analysis, elemental profiling, and fatty acid characterization. Her work frequently involves Romanian food products and environmental samples, with particular emphasis on authentication of agricultural products and detection of contaminants. Analysis of her recent publications (2020-2025) reveals consistent research in food authentication methods, particularly using isotopic, elemental, and molecular fingerprinting to differentiate between production systems (backyard vs. barn eggs), geographical origins (pork meat), and cultivation methods (wild vs. cultivated berries). Her work increasingly incorporates machine learning and chemometric approaches to analyze complex datasets from food and environmental samples. Dr. Covaciu has developed expertise in detecting pesticide residues in fruits and vegetables, analyzing fatty acid profiles in edible oils and human milk, and characterizing environmental contaminants. Her research demonstrates strong methodological development in analytical chemistry with practical applications for food safety and quality assessment in the Romanian context.

Emil Pricopمشاهده پروفایل

دانشیار

• Cybersecurity
• Biometric Identification
• Internet of Things
• +۵ مورد دیگر

Dr. Emil Pricop serves as an Associate Professor in the Department of Automation, Computers and Electronics at the University of Petroleum and Gas of Ploiești. His academic credentials include a PhD in Systems Engineering (awarded summa cum laude ), complemented by extensive industry experience in IT infrastructure and security consulting. Research Focus: His work spans critical areas of modern technology including cybersecurity frameworks, biometric identification systems, IoT architectures, and cloud computing security. He integrates machine learning for threat detection and pioneers human-computer interaction models. This interdisciplinary approach bridges hardware security and intelligent software solutions. Awards & Innovations: Patent RO 123364 B1 (2011): Biometric RFID card authentication system Patent RO 129740 B1 (2016): Counter-terrorism airport defense system UEFISCDI Award (PRECBVT-2017) for exceptional patented research Professional Service: As Vice President of IEEE Young Professionals Romania, he actively shapes engineering communities. He founded the International Workshop on Systems Safety & Security (IWSSS) and edits the JEEECCS journal. His IEEE leadership includes former Secretary of the SMC Technical Committee on Systems Safety & Security. Teaching: Coordinates courses in Computer Networks, Software Engineering, and Human-Computer Interaction, emphasizing practical labs for industrial control systems and programmable hardware.

Anca Patricia GRĂDINARUمشاهده پروفایل

مدرس ارشد

• Geodesy
• Cadastre
• Cartography
• +۳ مورد دیگر

Anca Patricia GRĂDINARU is a Senior Lecturer and Head of Academic Works at the Department of Topography and Cadastre, Faculty of Geodesy, Technical University of Civil Engineering of Bucharest (UTCB). She is a professionally authorized natural person (ANCPI category D) for specialized work in cadastre, geodesy, and cartography. Her research focuses on advanced geospatial data processing using Machine Learning techniques, engineering geodetic measurements, and spatial data infrastructures. As a member of the MGIIDS research center and the EU-CONEXUS alliance, she develops interdisciplinary research objectives, identifies cross-institutional thematic synergies, and organizes international scientific workshops and seminars to disseminate findings. Dr. Grădinaru actively serves on organizing and scientific committees for international conferences, facilitating academic collaboration. While no specific scientific awards are documented in the source text, her ANCPI authorization underscores professional recognition in geospatial domains. Her leadership in academic works implies mentorship responsibilities, though no advisees are explicitly listed. Research activities within the EU-CONEXUS framework indicate involvement in grant-funded interdisciplinary projects, with emphasis on sustainable urban development applications through geospatial analytics.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

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.

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.

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).