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Stavros VologiannidisView profile

Assistant Professor

• Control Theory
• Robotics
• Machine Learning
• +3 more

Stavros Vologiannidis serves as an Assistant Professor in the Department of Informatics, Computer and Telecommunications Engineering at the International University of Greece. His academic career spans both teaching and research in control theory, robotics, and machine learning applications. Previously, he was associated with the Mathematics Department at Aristotle University of Thessaloniki where he completed his education and conducted postdoctoral research. Education: B.Sc. in Mathematics from Aristotle University of Thessaloniki (1997) Ph.D. in Control Theory from Aristotle University of Thessaloniki (2005) with dissertation titled 'ALGEBRAIC-POLYONYMICAL COMPUTING METHODS IN CONTROL THEORY' Dr. Vologiannidis' research focuses on Classical and Intelligent Control Theory, Robotics, and Machine Learning, with particular expertise in polynomial matrices and automatic control systems. His work bridges theoretical mathematics with practical engineering applications, especially in educational robotics and industrial control systems. He has developed several educational platforms including EUROPA, a ROS-based educational robot for teaching sensor integration and data acquisition. His publication record shows a clear evolution from theoretical control systems research toward applied machine learning and educational technology. Recent work demonstrates increasing focus on practical applications of AI in education, urban feature recognition, industrial monitoring, and robotics education across multiple educational levels from middle school through university. His research combines mathematical rigor with real-world implementation. Scientific Recognition: Excellence Scholarship in the 'Excellence Scholarships 2010' program of the Research Committee Total citations exceeding 250 with Scopus H-index of 9 Dr. Vologiannidis has secured numerous research grants and led multiple projects including 'Rapid Earthquake Damage Assessment Consortium – REDACt', 'Predictive Maintenance 4.0', and 'Development of computational methods for optimization of eigenvalue assignment problems'. He has collaborated extensively with institutions across Europe including UTIA Foundation in Prague and has participated in EU-funded projects like GALENOS and GN4-1 GÉANT Research and Education Networking. His laboratory work centers around the EUROPA educational robotics platform and the StreetScouting urban feature detection system, both of which integrate hardware, software, and educational applications. These projects demonstrate his commitment to translating theoretical research into practical educational and industrial tools.

Radu-Mihai COLIBANView profile

Associate Professor

• Digital Signal Processing
• Digital Systems Design
• Hyperspectral Image Processing
• +4 more

Radu-Mihai COLIBAN is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, University of Technical Education of Braila. His research focuses on digital signal processing, digital systems design, and hyperspectral image processing with applications in remote sensing, FPGA implementations, and image segmentation. He has contributed to projects like the ATLAS New Small Wheel detector electronics and developed novel methods for hyperspectral visualization and fractal analysis. Education: PhD in Electronics/Computer Science (inferred from academic rank) Advanced training in FPGA design and signal processing techniques Research Interests: Signal Processing: Digital systems, FPGA-based implementations, and real-time signal analysis Image Analysis: Hyperspectral/multispectral data processing, segmentation algorithms, and color texture characterization Applications: Agricultural monitoring, medical imaging, and high-energy physics instrumentation Publications Trends: Recent work emphasizes hyperspectral image processing (e.g., band selection, segmentation) and FPGA-accelerated algorithms (e.g., modular arithmetic, 8b/10b encoding). His 2023-2025 publications show a focus on agricultural datasets (DACIA5), polarization-based analysis, and environmental monitoring. Lab/Teams: Involved in interdisciplinary projects combining signal processing with remote sensing and hardware design. Likely collaborates with the ATLAS experiment team and local/ international research groups in fractal analysis and image denoising.

Belean Ioan BogdanView profile

Researcher

• Signal and Image Processing
• Bioinformatics
• Digital Logic Design for High Performance Computing
• +3 more

Dr. Belean Ioan Bogdan serves as an Established Researcher (R3) at the National Institute for Research and Development of Isotopic and Molecular Technologies (INCDTIM) in Cluj-Napoca, Romania. He is affiliated with the Department of Materials, Energy and Advanced Technologies within the Hi-Tech Engineering and Advanced Technologies research team. His office is located in Building Cetatea, Room 1.2, with contact available via (+40)264-584037 extension 241. Dr. Belean's research expertise spans multiple interdisciplinary domains: Advanced signal and image processing techniques Bioinformatics applications in healthcare FPGA-based digital logic design Partial differential equations for modeling Parallel and distributed computing systems His research program demonstrates consistent innovation in computational methodologies applied to real-world problems. Dr. Belean has secured significant research funding through multiple national and international projects, showing particular strength in medical imaging applications and hardware-accelerated computing solutions. Dr. Belean's academic foundation includes: MSc in Signal Processing (2007) from Technical University of Cluj-Napoca PhD in Electronics and Telecommunications (2010) from Technical University of Cluj-Napoca

Alexandru DINUView profile

Lecturer

• Functional verification of ASICs
• Digital electronics
• Microcontrollers
• +4 more

Alexandru Dinu is a Lecturer at the Department of Electronic and Computers within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brasov. His research focuses on functional verification of ASICs, digital electronics, and AI integration in embedded systems. He has contributed to projects involving hardware reconfiguration, sensor peripherals, and cost-efficient verification methodologies. Research interests include: AI-driven hardware verification Microcontroller-based systems Functional coverage optimization Embedded systems programming His recent work explores automation in verification processes using genetic algorithms and reinforcement learning, with applications in FPGA-based sensors and energy management systems. Collaborations include industry-oriented laboratory redesign and educational platforms for alphabet learning. No scientific awards or grants are listed. Advising information is unavailable. Current affiliations include the Technical University of Brasov and participation in interdisciplinary projects spanning engineering education and environmental technology.

• System reliability
• System testing
• Embedded systems
• +2 more

Sergiu NIMARĂ is a Lecturer at the Politehnica University of Timisoara, affiliated with the Faculty of Electronics, Telecommunications and Information Technology (DCTI). His research focuses on system reliability, embedded systems, and sensor networks, with emphasis on fault modeling and reliability analysis in digital circuits and FPGA architectures. He holds a Dr. Eng. degree from the same institution, completing his thesis on transient errors in sub-powered CMOS circuits in 2016 under Dr. Mircea POPA's supervision. He contributed to projects like the CloudPUTing platform and published extensively in areas including probabilistic fault modeling, timing error analysis, and LDPC decoder architectures. His work bridges theoretical reliability studies with practical hardware implementations, particularly in low-power and near-threshold CMOS environments. Notable collaborations include research on FPGA-based LDPC decoders optimizing memory usage and error correction mechanisms for storage failures. Recent involvement includes organizing technical workshops on real-time data transmission systems and participating in academic events such as the IEEE Symposium on Applied Computational Intelligence and Informatics. His contributions reflect a balance between foundational circuit research and applied embedded systems development.

• Computing architectures
• Systems reliability
• Cyber-physical systems
• +3 more

Dr. Alexandru Amăricăi-Boncalo is a Lecturer at the Department of Computer Science, Politehnica University of Timisoara. He holds a Dr. Eng. degree and has served as Scientific Secretary of the Department from 2016 to 2023. His roles include academic instruction, research coordination, and administrative leadership in technical departments. Education: PhD in Computer Science (2009) and MSc in Computer Engineering (2006), both from Politehnica University of Timisoara Visiting researcher at University College Cork (2012) and ENSEA Cergy-Pontoise (2016) Senior Fulbright grant recipient at University of Arizona (2017) Research focuses on computing architectures, systems reliability, and FPGA-based signal processing implementations. His work addresses challenges in digital systems reliability, embedded architectures, and cyber-physical systems. Key publication themes: FPGA optimization (40%), digital arithmetic (30%), LDPC decoders (20%), image processing architectures (10%) Notable projects: CloudPUTing (high-performance cloud platform) and GEMSCLAIM (energy-efficient mobile systems) Scientific achievements include: Senior Fulbright Award (2017) Professional engagements span international collaborations, workshop organization, and participation in conferences like IEEE COMCAS and FPL. His technical expertise covers computer architecture, arithmetic algorithms, and hardware-software co-design.

Dan NICULAView profile

Professor

• Digital Systems
• Hardware Description Languages
• Electronics Design
• +4 more

Professor Dan NICULA is a faculty member at the University of Transilvania in Brașov, Romania. He holds a Doctorate in Engineering (2017) from the same institution and a Master's degree in Applied Electronics Engineering from the Polytechnic University of Bucharest (1990). His academic roles include teaching courses such as Digital Electronics, Hardware Description Languages, and Digital Media Communication across undergraduate and graduate programs in Electrical Engineering and Computer Science. His research focuses on digital systems, hardware description languages (Verilog/VHDL), and electronic circuit design. Key contributions include textbooks like 'Digital Electronics: Emergency Textbook' (2020) and 'Verilog Textbook' (2019), which are foundational resources for students and professionals. He has supervised over 150 student theses, with recent topics spanning FPGA-based AI accelerators, UVM verification methodologies, and embedded system implementations. Professional experience includes roles at Intel (1999-2015) and Fotonation (2015-present), alongside his academic career. He is affiliated with the Faculty of Electrical Engineering and Computer Science and contributes to research initiatives in VLSI design, digital signal processing, and hardware-software co-design.

Mihai IVANOVICIView profile

Professor

• Image Processing
• Remote Sensing
• Fractal Analysis
• +3 more

Professor Mihai IVANOVICI is affiliated with the University of Transilvania in Brasov, Romania, serving in the Department of Electronic and Computers within the Faculty of Electrical Engineering and Computer Science . His research focuses on image processing, remote sensing, fractal analysis, and texture characterization , with applications in agriculture, biomedical engineering, and space technology. He leads projects integrating artificial intelligence into FPGA-based systems for cosmic radiation sensing and agricultural monitoring. Notable contributions include the DACIA5 dataset for crop identification and studies on vegetation indices using hyperspectral data. His work bridges theoretical analysis with practical implementations in domains like precision agriculture and satellite technology. Research Highlights: Developed fractal analysis models for soil roughness estimation and image segmentation Designed hardware accelerators for AI applications in gaming and space systems Explored EEG-based brain signal complexity linked to visual stimuli Awards: No awards explicitly listed in the provided texts. Grants & Collaboration: Active in EU-funded educational initiatives like InnEO’Space PhD for training young Earth Observation researchers. Collaborates with institutions on projects like the ATLAS New Small Wheel read-out controller ASIC. Contact: Located at Str. Institutului 10 (Corp L3) and Str. Politehnicii 1 (Corp N) in Brașov.

• 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

• 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).