Adrian SOICA is a Professor at the Department of Automotive and Transport Engineering, Faculty of Mechanical Engineering, Transilvania University of Brașov, Romania. His academic and research activities focus on vehicle dynamics, safety systems, and transportation-related environmental impact, with a particular emphasis on traffic accident reconstruction and emission reduction strategies. Research Focus: Vehicle-Pedestrian Collisions Research Focus: Automotive Composite Materials Research Focus: Traffic Emission Modeling Research Focus: Smart Transportation Systems His publications span accident reconstruction methodologies, composite material design, and sustainable mobility solutions, including studies on seatbelt mechanics, pretensioner systems, and biodiesel efficiency. Recent work explores AI-driven adaptive traffic control (2025) and metaverse integration for autonomous driving (2022). Scientific awards are not explicitly listed in the available data. Contact: Building N, Room NP12, Politehnicii street, no. 1, Brașov, Romania
Laurentiu Dimitriu is a Professor at the Gheorghe Asachi Technical University of Iasi , affiliated with the Faculty of Electrical Engineering. His research focuses on Automotive Electronics , Real-Time Systems , and Control System Diagnostics , with significant contributions to microprocessor-based control systems and sensor technology. Teaching: Power Supplies and Circuits, Electronic Measuring and Control Devices, Automotive Electronics Contact: dimitriu@etc.tuiasi.ro Research Interests span automotive control systems, thermal engine management, and fuzzy logic applications in engine optimization. His work addresses hardware/software co-design for microprocessor control units, fuel efficiency, and cooling systems. Engineering Trends in his publications highlight real-time communication protocols, sensor diagnostics, and airflow control mechanisms. Over 84 works (including books and patents) demonstrate his expertise in integrating embedded systems with automotive engineering. Scientific Contributions include 14 invention patents for electroacupuncture devices, engine control systems, and sensor technologies. His 1995 book Sisteme electronice de control pentru automobile remains a seminal reference in automotive electronics. Collaborations extend to INMT Bucharest, Transloc R.A. Botosani, and academic-industrial partnerships for real-time engine testing systems.
Adriana Sirbu is a Professor at the Department of Telecommunications, Technical University of Iasi. She holds a Doctorate in Engineering (Electronics) and has conducted research at institutions in Italy (Politecnico di Torino), the UK (Southampton Institute), and France (Université de Lille). Her expertise spans power electronics, coding theory, and hybrid systems modeling. Key research areas include power converter design, error-correcting codes, and MATLAB/Simulink-based simulation tools. She has authored over 50 scientific articles and three books, including Proiectarea asistata de calculator a convertoarelor electronice de putere . Her work emphasizes energy-efficient control systems and robust Fourier analysis in dynamic systems. She is affiliated with the I.C.S.I.T.E. research institute in Bucharest. Research interests include computer-aided design of electronic circuits, hybrid system theory, and optimizing power converter performance. Her publications span journals like European Transactions on Electrical Power Engineering and conferences such as IMACS and EPE. Notable contributions include hybrid rectifier designs and genetic algorithm applications in sensor networks and robotics. She has collaborated internationally on projects involving bond graph frameworks and nonlinear control systems.
Prof. Petru Adrian COTFAS holds a position as Professor in the Department of Electronic and Computers at the Faculty of Electrical Engineering and Computer Science, Technical University of Brașov (UNITBV). His work focuses on advancing renewable energy systems, hybrid energy technologies, and IoT-based monitoring solutions. He leads research on photovoltaic cell optimization, thermoelectric generator performance, and cybersecurity in smart energy systems. His contributions include developing virtual instrumentation frameworks (e.g., LabVIEW-based tools) and experimental setups like the RELab system for studying solar/wind energy dynamics. Research Interests: Characterization of renewable energy systems (hybrid photovoltaic-thermoelectric configurations) IoT integration for remote energy monitoring and control Metaheuristic algorithms for parameter extraction in solar cells Cybersecurity resilience for smart energy infrastructure Energy efficiency in industrial systems (e.g., AHU optimization) Key Contributions: Prof. COTFAS has pioneered studies on dust impact mitigation for solar panels, developed novel methods for concentrated solar power systems, and addressed cybersecurity vulnerabilities in IoT-enabled energy grids. His work bridges theoretical models (e.g., multi-junction solar cell theory) with practical implementations like FPGA-based remote laboratories. Over 60 peer-reviewed articles since 2016 showcase his interdisciplinary approach to energy sustainability and technological innovation.
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.
Dr. Popirlan Claudiu Ionut is a Lecturer in the Computer Science Department at the Faculty of Exact Sciences, University of Craiova, Romania. He has been actively involved in academic and research activities since 2004, progressing from Assistant Lecturer to Assistant Professor and currently serving as a Lecturer. He holds a Ph.D. in Computer Science from the University of Pitesti and has extensive teaching experience in advanced programming, databases, GIS, and software engineering. His educational background includes: Ph.D. in Computer Science, University of Pitesti (2005–2009) Master in Artificial Intelligence, University of Craiova (2003–2004) B.Sc. in Computer Science, University of Craiova (1999–2003) Secondary Education, Fratii Buzesti National College (1995–1999) Dr. Popirlan's research is centered on Artificial Intelligence, with a strong emphasis on Mobile Agents and Multiagent Systems. His work explores knowledge representation, processing, and management using agent-based architectures, with applications in robotics, contact centers, and virtual organizations. He has also contributed to web-based 3D visualization and modeling in mechanical engineering. His technical expertise spans Java technologies, databases, and software engineering. The analysis of his recent publications reveals a consistent focus on mobile agents for knowledge processing, distributed systems, and intelligent control. Themes include agent architectures, knowledge base management, pathfinding algorithms, and simulation systems, indicating a deep and sustained research trajectory in autonomous and intelligent software systems. He has received research grants such as TD CNCSIS and CNCSIS IDEI, where he served as director and team member respectively, focusing on mobile agents and knowledge management. His editorial roles include Scientific Referent for INFO-PRACTIC and Editorial Secretary for the Annals of the University of Craiova. Dr. Popirlan is an active member of the academic community, affiliated with IEEE, IEEE Computer Society, ACM, IBM Academic Initiative, Microsoft Faculty Connection, and the Romanian Mathematical Society. He is also part of the Research Center of Artificial Intelligence in Craiova.
Dr. Timenko Artur Valentynovych serves as Senior Lecturer at Zaporizhia National Technical University's Department of Computer Systems and Networks within the Faculty of Computer Science and Technologies. Holding a specialist degree in Computer Systems and Networks (2010), he maintains active roles in both teaching and research. His educational background includes graduation from Zaporizhia National Technical University in 2010 with specialization in Computer Systems and Networks. Professional development is evidenced through continuous research output and curriculum development activities. Research focuses on Internet of Things , computer networks , and neural networks , with particular emphasis on protocol verification, device interoperability, and embedded system optimization. Recent work explores semantic chatbots for IoT management, air quality monitoring systems, and MQTT protocol compatibility analysis. His methodology integrates formal verification techniques with practical hardware implementation. Publication trends from 2020-2024 reveal consistent contributions to IoT infrastructure (45%), network protocols (30%), and AI applications (25%). Key journals include Shipbuilding & Marine Infrastructure and Scientific Notes of Vernadsky University. Research demonstrates strong industry relevance with applications in smart homes, environmental monitoring, and critical systems. Teaching responsibilities encompass Python programming basics, computer network design, IoT fundamentals, and wireless technologies. His laboratory guidelines for Embedded Computer Systems and IoT disciplines reflect practical, hands-on pedagogy. Current projects involve developing automated temperature control systems and network anomaly detection using hybrid neural networks. Professional activities include active participation in Ukrainian academic conferences and international collaborations through ZNTU's research infrastructure. His work contributes to the university's strategic focus on digital innovation and sustainable technology development.
Eugen Borcoci serves as a Full Professor in the Department of Telecommunications at the National University of Science and Technology Politehnica Bucharest. With an extensive publication record spanning networking technologies, he has established himself as a significant contributor to the field of telecommunications research. His work bridges theoretical networking concepts with practical implementations, particularly in next-generation network architectures. Professor Borcoci's research interests focus on advanced networking paradigms including Software Defined Networking (SDN), Network Function Virtualization (NFV), and 5G/6G network architectures. He has pioneered work in network slicing technologies, particularly for vehicular communications and Internet of Vehicles applications. His research demonstrates a consistent emphasis on practical implementations and validation of theoretical networking concepts through experimental frameworks and open-source platforms. His recent publication trajectory (2021-2025) reveals a strong focus on Open Source MANO for network automation, SDN controller optimization across different network topologies, and specialized applications of network slicing for electric vehicle infrastructure and vehicular communications. This work demonstrates a clear progression from theoretical networking concepts to practical deployment scenarios with industry relevance. Professor Borcoci actively collaborates with international researchers, particularly with Marius Vochin, Frank Y. Li, and Andra Ciobanu, indicating strong international research connections. His work appears primarily in networking conferences and journals focused on telecommunications infrastructure and next-generation network architectures.
Dr. Libal András is an Associate Professor at the Faculty of Mathematics and Computer Science of Babes-Bolyai University , Romania. His research spans soft condensed matter physics , active matter systems , and artificial spin ice , with a focus on computational modeling and GPU/CPU optimization. He collaborates with institutions like Los Alamos National Laboratory and has contributed seminal work on colloidal spin ice. Alma Mater: Bathory Istvan High School (Cluj), Babes-Bolyai University (BSc), University of Notre Dame (PhD) Past affiliations: Argonne National Lab, Los Alamos National Lab, Johns Hopkins University, Universiteit Antwerpen Research interests include: Computer simulation of soft condensed matter and active matter systems Topological defects in spin ice and granular materials Development of Arduino-based microcontroller applications and IoT systems GPU-accelerated simulation methods Publications focus on vortex dynamics , jamming transitions , colloidal crystals , and active matter across physics, materials science, and computational epidemiology. No scientific awards are explicitly mentioned in available sources.
Adrian ALEXANDRESCU is an Associate Professor at the Department of Computer Science and Engineering within the Faculty of Automatic Control and Computer Engineering at “Gheorghe Asachi” Technical University of Iași. He is a member of the Open Infrastructure Research Center and specializes in interdisciplinary research areas such as blockchain technology, distributed systems, artificial intelligence (genetic algorithms, neural networks), and IoT applications. His work bridges theoretical computer science with practical implementations in education, healthcare, and smart technologies. His research interests focus on leveraging blockchain for secure transactions, optimizing distributed systems, and enhancing e-learning through gamification. He has contributed to projects involving sensor networks for health monitoring, real-time driver sobriety tracking, and decentralized identity management systems. His academic contributions span over 20 years, with notable work on genetic algorithms for task mapping in heterogeneous systems and cloud-based solutions for ambient assisted living. Dr. ALEXANDRESCU’s publications emphasize blockchain’s role in trustless systems, IoT-driven healthcare environments, and AI-driven solutions for education and logistics. His work on decentralized article retrieval systems and plagiarism detection frameworks underscores his commitment to ethical and efficient digital ecosystems. Despite no explicitly listed awards, his prolific publication record reflects sustained academic excellence. He advises on projects at the intersection of cloud computing, distributed architectures, and smart technologies. His labs and collaborations focus on developing scalable solutions for real-world challenges such as secure real estate transactions and community-driven academic publishing systems.
Prof. Sergiu Caraman is a Professor and PhD supervisor in System Engineering at Dunărea de Jos University of Galați since 2007. His research focuses on nonlinear process control, biotechnological systems (e.g., wastewater treatment), and artificial intelligence applications in process automation. He has authored/co-authored 17 books and over 100 scientific papers, contributed to 25 research projects, and reviewed for journals like Automatica . As editor-in-chief of the Annals of his university's Fascicle III, he oversees automation and electrical engineering research. Collaborations include GEPEA Lab (University of Nantes), Paris-Saclay’s Laboratory of Signals and Systems, and the University of Mons’ Control Engineering Department. Six doctoral theses have been finalized under his supervision, with a seventh in progress. Research interests include fault diagnosis, model predictive control, and optimization techniques applied to environmental systems. His work spans sewer network management, bioreactor control, and renewable energy integration in energy systems. Key methodologies involve neural networks, fuzzy logic, and genetic algorithms for complex system modeling and automation. Notable contributions include developing modified ASM3 models for trickling filters, multi-objective optimization strategies for sewer networks, and adaptive control structures for bioprocesses. He has also pioneered fuzzy zonal models for biotechnological processes and explored extremum-seeking control for anaerobic digestion optimization.
Darius Bufnea is an Associate Professor at the Department of Computer Science, Faculty of Mathematics and Computer Science, Babeş-Bolyai University in Cluj-Napoca, Romania. His academic address is at No. 1 Mihail Kogalniceanu Street, RO-400084 Cluj-Napoca. He teaches various courses including Web Programming, Security Protocols in Communications, Web Security and Internet, Web Traffic Control, and Operating Systems for Parallel and Distributed Architectures. Dr. Bufnea's research spans multiple domains within computer science, with a strong focus on parallel and distributed computing systems. His work explores innovative frameworks like PowerList-based programming models and their implementation in Java. He has made significant contributions to web security research, particularly in detecting and measuring scraper sites and clickbait content. His research bridges theoretical computer science with practical applications in web technologies and parallel programming paradigms. His publication record shows a consistent trajectory of research in parallel computing frameworks, with recent work expanding into web security and content analysis. The trend indicates a progression from foundational parallel programming models toward applied research in web technologies, security, and educational approaches for teaching complex computing concepts. His work on measuring "scrappiness level" of websites represents an innovative approach to quantifying web spam and content duplication issues. Dr. Bufnea actively engages with students through undergraduate and dissertation thesis supervision, with specific research topics available through university channels. His teaching philosophy emphasizes hands-on learning, as evidenced by detailed laboratory assignments covering web technologies from HTML/CSS to advanced JavaScript and server-side programming.
Mihoc T. D. serves as a Lecturer at Babeș-Bolyai University in Cluj Napoca, Romania, teaching Artificial Intelligence, Computer Graphics, and Quantum Computing. He earned his Ph.D. in Computer Science from the same institution in 2011 with a dissertation on evolutionary approaches to game-theoretic equilibria under Prof. D. Dumitrescu. His academic career includes prior service as an Assistant Professor (2012-2017) and foundational experience as a Mathematics and Computer Science Teacher (2000-2008). His educational background features: Ph.D. in Computer Science, Babeș-Bolyai University (2011) Research centers on optimization and game theory, with evolutionary algorithms for Nash equilibrium detection in large-scale games. His work extends to quantum computing implementations, computer graphics applications, and human-computer interaction systems for education and healthcare. Recent publications demonstrate a strategic pivot toward educational technology, examining student perceptions of AI ethics and learning behavior analytics in computer science education. Publication trends reveal a clear evolution: 2010-2017 focused on computational game theory foundations (Cournot oligopolies, equilibrium refinements), while 2023-2025 articles emphasize AI education (ethics perception, assessment techniques, entrepreneurship training). This trajectory shows deliberate expansion from theoretical game theory to applied educational technology solutions. No scientific awards were documented in available sources. Information regarding student advising, research grants, and laboratory affiliations was not provided in the source material. His current teaching responsibilities include course delivery, seminars, and laboratory sessions across three advanced computing domains.
Dr. Florentin Bota is a Part-Time Lecturer at Babeș-Bolyai University. His research spans interdisciplinary domains including Machine Learning , Game Theory , and Software Development , with a focus on integrating Human Behavior Modeling into computational systems. His notable work includes the Sotirios virtual learning game and studies on Multi-agent Systems , Temporal Discounting , and Software Fault Prediction . He has contributed to 3D Computational Models and Community Structure Detection in complex networks. For academic inquiries, contact florentin.bota@ubbcluj.ro or reach out via Microsoft Teams.
Shaza Al-Wifati is a Lecturer in the Department of Biomedical Engineering at the University of Tripoli, affiliated with the College of Engineering. She has held multiple leadership roles including Founding Member of the Biomedical Engineering Department (2019-2022), Documentation Coordinator for the University Website (2023), and Program Coordinator roles (2025). Her research focuses on Optimal control of infectious diseases Medical device design and programming Artificial intelligence applications in medical engineering Digital and embedded systems for healthcare linking theoretical control systems to practical biomedical solutions. Her recent publications (2018-2025) span epidemic control modeling, medical imaging AI for skin cancer detection, and reactor control systems. These works demonstrate expertise in integrating neural networks , optimization techniques , and embedded systems into biomedical challenges.
