Find Academic Supervisors

• Reconfigurable systems
• System reliability
• Embedded systems
• +4 more

Oana AMĂRICĂI-BONCALO is a Professor at the Computer and Information Technology Department of University Politehnica Timisoara. She holds a Dr. Habil. Eng. degree and has served as Assistant Professor, Lecturer, and Associate Professor since 2009. Her research focuses on reconfigurable systems, system reliability, embedded systems, and forward error correction with FPGA applications. Education: Engineering Degree (2006) and PhD in Computer Engineering (2009), both from University Politehnica Timisoara. She was an invited researcher at University College Cork (2012) and University of Cergy-Pontoise (2016). Since 2017, she has been an Editor for Microprocessor and Microsystems (Elsevier). Research projects include GEMSCLAIM (green energy management in mobile systems). She supervises PhD student Andrei-Bogdan MIHĂILESCU. Recent publications emphasize LDPC decoding architectures, FPGA-based solutions, and reliability assessment in quantum circuits. Notable contributions include innovations in layered decoding algorithms, memory optimization for LDPC decoders, and one-hot data representation techniques. Her work intersects VLSI design, digital signal processing, and embedded systems reliability. Event organization includes a 2024 workshop on audio-video technical solutions and participation in IEEE symposiums. She contributes to academic events like the Mobile Applications Student Contest (SCMUPT).

Donciu CodrinView profile

Professor

• Signal Processing
• Image Processing
• Earthquake Early Warning Systems
• +3 more

Prof. Donciu Codrin is a full professor at the Department of Electric Power Engineering, Technical University of Iasi. His research spans interdisciplinary fields including signal processing, image processing, earthquake early warning systems, and textile engineering. He leads projects on seismic response analysis using uniaxial shaking tables, non-invasive eye safety systems (e.g., Opto-Guard), and ESD-protective textiles. His work integrates hardware design (e.g., electrodynamic actuators) with advanced algorithm development for applications like video-based distance measurement and apparel sizing estimation. Research projects include: Signal Processing : OFDM modulation, DFT/FFT algorithms, and seismic waveform analysis Computer Vision : Pattern recognition, 3D reconstruction, and human-centric interface design Structural Engineering : Earthquake simulation platforms and early warning system validation Textile Innovation : Conductive fabric development for ESD protection and functional garments Recent publications focus on seismic wave analysis (2023–2025), optoelectronic safety systems (2022), and ultrasonic sensing technologies (2020–2021). His work bridges theoretical signal processing with real-world applications in disaster preparedness and ergonomic design.

Vlad PopescuView profile

Associate Professor

• Telecommunications
• Cognitive Radio Systems
• Software Defined Radio
• +7 more

Vlad Popescu is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brasov. His research focuses on telecommunications, IoT, cognitive radio systems, and multimedia applications. He has authored numerous publications in top journals and conferences, including work on 6G-enabled smart cities, edge-cloud orchestration, and QoE-driven smart home systems. His research explores cutting-edge topics such as immersive multi-sensory experiences, real-time object detection, and energy-efficient architectures for Android TV integration. Popescu has contributed to open-source satellite simulators and pioneered studies on blockchain-based TV advertising systems. His work bridges theoretical advancements with practical implementations in smart home environments, IoT gateways, and next-generation wireless networks. Award-winning research includes innovations in SDR-based satellite gateways and hardware-software partitioning for embedded systems. His collaborative projects address challenges in distributed video applications, D2D communications, and social IoT frameworks for smart tourism management.

• Audio Signal Processing
• Quality and Reliability Engineering
• Hardware Design
• +4 more

Sebastian-Alexandru Arghirescu is an Assistant Professor at the Department of Electronic Technology and Reliability, Faculty of Electronics, Telecommunications and Information Technology, Politehnica University of Bucharest (UPB), Romania. He is also a doctoral candidate (since 2021) focusing on audio file quality estimation via hardware procedures, supervised by Prof. Ioan Bacivarov. PhD: Research on Audio File Quality Estimation (2021–present) MSc: Quality and Functional Safety Engineering in Electronics and Telecommunications (2019–2021) BEng: Applied Electronics (2015–2019) His research bridges audio signal processing, hardware design, and quality/reliability engineering. His 2022 publication in Sensors demonstrates expertise in optimizing sensor control modules for remote laboratories. He contributes to teaching Quality and Reliability courses and develops laboratory platforms. Professional Experience: Assistant Professor (2022–present), Research Assistant (2019–2022) at UPB's Wireless Networks and IoT Laboratory Technical Skills: Circuit design (EAGLE, LTspice), microcontroller programming (Atmel), MATLAB neural networks, C/Verilog He has participated in the MultiMonD2 research project (PN-III-P1-1.2-PCCDI-2017-0637) and designed robotics systems for competitions like RoboChallenge.

• Artificial Intelligence
• Signal Processing
• Neural Networks
• +3 more

Dr. Iulian B. Ciocoiu is a Professor at the Technical University of Iași, affiliated with the Department of Signals, Circuits, and Systems within the Technical College No. 1. His expertise spans artificial intelligence, signal processing, and neural networks, with a focus on biometrics, adaptive filtering, and telemedicine applications. He teaches courses including Digital Signal Processing, Adaptive Signal Processing, and Artificial Neural Networks. His research emphasizes innovative applications of machine learning in healthcare (e.g., ECG-based biometrics, COVID-19 detection via cough analysis) and urban systems (smart traffic management). Notable contributions include bag-of-words classifiers for signal analysis, preconditioned algorithms for sparse recovery, and fusion of neural networks with traditional signal processing techniques. Ciocoiu has published extensively since the late 1990s, with recent work addressing challenges in multi-day biometric authentication, fire detection using YOLO models, and chronic kidney disease assessment. He maintains a research page and is reachable at iciocoiu@etc.tuiasi.ro.

• Speech Signal Processing
• Cellular Network Data Transmission
• Optical Computing for Neural Networks
• +2 more

Vadim Olegovich Rybin serves as a Senior Lecturer at the Faculty of Computer Science and Technology , Department of Computer Systems and Networks, at Zaporizhzhia Polytechnic National University. His academic career began in 1985, and he holds a diploma in "Design and production of radio equipment" from Zaporizhia Machine-Building Institute. Languages: Ukrainian, Russian Teaching subjects: System integration and optimization of computer equipment, Mobile communication technologies Research focuses on: Coding and identification of speech signals Data transmission methods in cellular networks Integration of optical connections in neural network computer models His recent publications emphasize software development for statistical analysis, speech signal optimization, and optical computing applications. Collaborative works include studies on polynomial regression tools and neural network hardware modeling. Contact: Office 53b, Room 362, Zaporizhzhia Polytechnic University (Address: Zhukovsky St., 64, Zaporizhzhia, Ukraine).

Aurel Cornel STANCAView profile

Lecturer

• Control Systems
• Embedded Systems
• Data Acquisition
• +3 more

Aurel Cornel STANCA is a Lecturer at the Department of Electronics and Computers within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brasov. His research focuses on control systems, embedded systems, data acquisition, IoT integration, automotive electronics, and power systems. He has contributed to advancements in smart grid technologies, automotive safety systems, and reliability testing of power protection devices. Dr. STANCA's work spans interdisciplinary applications, including IoT-enabled power system protection, distributed temperature control systems, and thermoelectric heat recovery from engines. His publications emphasize practical implementations, such as embedded system designs for supercapacitor-aided vehicle starters and SCADA operator training platforms. He holds a strong industrial collaboration background, particularly in automotive electronics education and curriculum development. His research also touches on educational technologies, including adaptive learning pathways and EMC training methodologies. Affiliated with the Technical University of Brasov, his professional network includes involvement with international conferences like ICATE and OPTIM, where he has presented on topics ranging from supercapacitor models to distributed control systems.

• Audio Engineering
• Video Technology
• Signal Processing
• +3 more

Dan Cepareanu is a faculty member at the Gheorghe Asachi Technical University of Iași , affiliated with the Faculty of Electronics, Telecommunications and Information Technology and the Department of Information Technologies and Communications . Holding the academic rank of Researcher , he specializes in audio-video systems, signal processing, and electronic information technologies. His contact email is dantb@etc.tuiasi.ro . Teaching Subjects: Information recording and playback devices, Audio-video recording systems Research Focus: Applied electronics, telecommunications, and multimedia engineering

• Artificial Intelligence
• Machine Learning
• Information Retrieval
• +3 more

Zalán Bodó is an Associate Professor at the Faculty of Mathematics and Computer Science , Babeș-Bolyai University, Cluj-Napoca, Romania. His research focuses on Artificial Intelligence, Machine Learning, Information Retrieval, Natural Language Processing, Formal Languages, and Computer Vision . He holds an Erdős number of 4 and maintains an active presence in academic networks like Google Scholar and DBLP. His work bridges theoretical and applied computer science, with contributions to malware analysis, explainable AI, and dataset compilation. He has published extensively on topics such as graph-based malware detection, automated code generation, and medical imaging applications. His office is located at Mathematicum Building (room 207), and he can be reached via zalan.bodo@ubbcluj.ro or zalan.bodo@gmail.com .

• 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.