جست‌وجوی استاد و پژوهشگر

Gabriel Stoianمشاهده پروفایل

مدرس

• Computer Networks
• Digital Communications
• Operating Systems
• +۷ مورد دیگر

Gabriel Stoian is a Lecturer in the Computer Science Department at the Faculty of Mathematics and Computer Science, University of Craiova, Romania. He has been serving in this role since 2008, having previously held the position of Assistant Professor from 1992 to 2008. His academic and research activities are deeply rooted in computer systems and networking. His educational background includes a PhD from the University of Craiova (2007) with a thesis titled Model for quantitative and qualitative analysis of ADSL communication , and a degree in Computer Science from the Faculty of Automatics, Computers and Electronics at the University of Craiova (1984–1989), where his graduation paper was on a logic analyzer. Gabriel Stoian's research interests include Computer Networks, Digital Communications, Operating Systems, and Computer Architecture. His work emphasizes mobile and broadband communication systems, particularly in WiMAX and ADSL technologies, and explores innovative solutions using mobile agents and optimization algorithms. The recent publications reflect a consistent focus on network performance, traffic management, and communication system design. Key themes include handoff optimization in mobile networks, DSLAM and line card architecture, and intelligent systems for network control. His research bridges theoretical models with practical implementations in telecommunications and embedded systems. IEEE Member (Computer Society, Communication Society), since 2002 Association for Computing Machinery, since 2004 Romanian Mathematical Society (SSMR), since 2000 Research Center of Artificial Intelligence, Craiova, since 2000 Gabriel Stoian has participated in national research grants such as Algebraic Properties of the Labelled Stratified Graphs and Knowledge Representation System Based on Frames . While no formal advising roles are listed, his collaborative publications suggest mentorship and team-based research. He has taught courses including Operating Systems, Computer Networks, and Java Technologies. He is associated with the Research Center of Artificial Intelligence in Craiova and has contributed to projects involving frame-based knowledge systems and fault diagnosis in digital circuits. His ongoing work reflects a strong integration of academic teaching, applied research, and professional engagement in international computing societies.

• Graph algorithms
• Combinatorial optimization
• Artificial intelligence
• +۲ مورد دیگر

Матвій Борисович Ільяшенко is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technologies, Zaporizhzhia Polytechnic National University. He holds a Ph.D. in Computer Engineering from the Institute of Modeling Problems in Energy (NAS of Ukraine, Kyiv) and graduated from ZNTU with honors in 2005. Ph.D. in Computer Engineering (2008) Specialty: Computer Systems and Networks (2005) His research focuses on graph algorithms, combinatorial optimization, and artificial intelligence systems. Recent publications explore blockchain integration in digital twins, neuroevolution for anomaly detection, and spiking neural network synthesis with probabilistic coding. His work spans distributed computing, medical diagnostics, and industrial cybersecurity. Key trends in his publications include: 1) Advanced graph isomorphism algorithms for resource allocation; 2) Neuroevolutionary techniques in time series analysis; 3) Blockchain-enhanced digital twin architectures; 4) Stochastic programming for big data reduction; 5) Probabilistic neural models with neuropattern mechanisms. He teaches Fundamentals of optimization of computer systems and networks and has contributed to specialized digital systems semantic analysis, GRID network resource reservation, and communication channel efficiency optimization. His work bridges theoretical algorithms with practical implementations in industrial and medical domains.

Daniel Tudor Cotfasمشاهده پروفایل

استاد

• Renewable Energy
• Photovoltaic Systems
• Hybrid Energy Systems
• +۵ مورد دیگر

Professor Daniel Tudor Cotfas is affiliated with the Department of Electronic and Computers at the Faculty of Electrical Engineering and Computer Science, University of Technical Education Bucharest. His research focuses on renewable energy systems, particularly photovoltaic (PV) and hybrid energy solutions. He explores topics such as solar thermoelectric generators, low-power sensor networks, and cybersecurity in IoT-integrated energy systems. His work emphasizes improving energy efficiency through advanced materials, optimization algorithms, and policy frameworks. Key research areas include dust impact on PV panel performance, parameter extraction for solar cells using metaheuristic algorithms, and virtual instrumentation for educational and industrial applications. He has contributed to remote laboratory systems and smart energy monitoring technologies. His publications address challenges in concentrated solar power, hybrid PV-thermoelectric systems, and energy harvesting for wireless sensors. Notable collaborations involve experimental setups for studying thermoelectric materials under concentrated light and developing frameworks for secure IoT integration in renewable energy infrastructure. Cotfas is also engaged in educational initiatives, leveraging LabVIEW and FPGA-based tools for hands-on learning in renewable energy and control systems.

Diana Cristeaمشاهده پروفایل

پژوهشگر

• Formal Concept Analysis
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Diana Cristea is a researcher at the Department of Computer Science within Babeș-Bolyai University , Cluj-Napoca, România. Holding a PhD in Computer Science (2016) from both Babeș-Bolyai University and TU Dresden, her work bridges formal methods, data analysis, and software engineering. She has contributed to academic discourse as an organizer of the 12th International Conference on Formal Concept Analysis (ICFCA) and as a paper reviewer for student scientific sessions. Email: diana.cristea@ubbcluj.ro Education: PhD (2016), Master (2013), and Bachelor (2011) in Computer Science and Mathematics from Babeș-Bolyai University, with PhD research at TU Dresden Her research focuses on Formal Concept Analysis (FCA) , with applications spanning static code analysis , healthcare data visualization , and e-learning platform behavior mining . Key contributions include tools for triadic concept navigation, frameworks for detecting junior developer code issues, and FCA-based models for medical diagnostics and educational trend analysis. She has also explored graph databases for healthcare knowledge discovery and analogical reasoning in electronic health records. Teaching activities include supervising Database courses and thesis coordination, with documented requirements for student attendance, project delivery, and examination processes. She utilizes Microsoft Teams for course management and emphasizes rigorous adherence to deadlines and academic integrity in thesis preparation.

Radu-Lucian LUPŞAمشاهده پروفایل

مدرس

• Image Processing
• Computer Graphics
• Graph Algorithms
• +۳ مورد دیگر

Radu-Lucian LUPŞA serves as a Lecturer at Babeş-Bolyai University's Faculty of Mathematics and Computer Science in Romania. His academic career spans over two decades with a consistent focus on computer science, particularly in image processing and graph algorithms. His teaching responsibilities include courses on Graph Algorithms and Parallel and Distributed Programming, demonstrating his expertise across theoretical and applied computer science domains. LUPŞA's research interests center around image processing, with significant contributions to compression methods, dithering algorithms, and multiresolution analysis. His work bridges theoretical computer science with practical applications in graphics and healthcare optimization. The evolution of his research shows a progression from fundamental image compression techniques in the late 1990s to more specialized applications in medical imaging and transportation logistics by the late 2000s. Analysis of his publications reveals strong expertise in computational geometry, algorithm design, and optimization problems. His research demonstrates consistent application of mathematical rigor to practical computing challenges, particularly in the areas of image representation and processing. The interdisciplinary nature of his work is evident in publications spanning computer graphics, healthcare logistics, and mathematical optimization. LUPŞA completed his PhD in 2006 with the dissertation titled Contributions to the analysis, processing and representation of images , which serves as a foundation for his subsequent research trajectory. His academic output shows a period of high productivity between 1996-2008 with publications in respected venues including IEEE conferences and academic journals. As an educator, LUPŞA has developed comprehensive teaching materials for graph algorithms, including lecture notes, practical assignments, and evaluation methods. His teaching approach emphasizes both theoretical foundations and practical implementation, as evidenced by the detailed laboratory assignments and programming tasks he has designed for students.

• Computer Science
• Mathematics
• Programming Languages
• +۴ مورد دیگر

Corina Ştefania Nănău is a Lecturer at the Department of Mathematics and Computer Science, Faculty of Mathematics and Computer Science, Transilvania University of Brașov, Romania. She teaches C# and Java programming and conducts research in network theory and wireless communication. Contact: Building P, Room PII8, Iuliu Maniu 50, Brașov, Romania | Phone: +40 268 414.016 Research Focus: Her work centers on Delay-Tolerant Networks (DTNs) , with emphasis on routing protocols, buffer management, and queuing theory. She applies graph theory and optimization techniques to network challenges in disaster response scenarios using drones and UAVs. Publications highlight her contributions to: Static and dynamic flow analysis in constrained DTNs Buffer management algorithms for UAV-based data delivery Queuing theory applications in wireless network performance Routing protocol design for disconnected mobile networks Path optimization in isolated areas

• Cryptography
• Cryptanalysis
• Information Security
• +۱ مورد دیگر

Galina Leonidivna Kozina serves as an Associate Professor at the Department of Information Security and Nano-electronics within the Faculty of Information Security and Electronic Communications at Zaporizhzhia Polytechnic National University. Dr. Kozina graduated in 1978 with a specialty in Mathematics and earned her Candidate of Physical and Mathematical Sciences degree in 1994 with a dissertation titled "Algorithms and estimations for some problems of vector optimization on multicolor graphs" in specialty 05.15.16 "Application of computing technology, math. modeling and math. methods in scientific research". Her primary research focuses on Cryptography and Cryptanalysis , with significant contributions to theoretical foundations of secure communications. She teaches specialized courses including Cryptographic means of information protection, Steganographic information protection, Programming crypto conversions, and Cryptanalysis methods. Dr. Kozina maintains an active scholarly profile with numerous publications in her field, though specific titles aren't detailed in the available information. Her work represents important contributions to Ukraine's cybersecurity research landscape. She communicates professionally in both Ukrainian and Russian languages and maintains an ORCID profile (0000-0002-4787-6865) for scholarly identification. Dr. Kozina can be contacted at the Department of Information Security and Nano-electronics, Zaporizhzhia Polytechnic National University, located at 64 Zhukovsky Street, Building 3, Office 32-A, Zaporizhzhia, Ukraine (Phone: +38(061)7-698-597).

Liviu P. Dinuمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Information Processing
• +۲ مورد دیگر

Liviu P. Dinu is a Professor at the Faculty of Mathematics and Computer Science, University of Bucharest, with a career spanning three decades. He holds a PhD (2003) and Dr. habil (2014) in Computer Science and has served as Director of the Human Language Technologies Research Center. His work bridges computational linguistics, natural language processing, and bioinformatics. PhD: 2003, University of Bucharest (supervisor: Solomon Marcus) Dr. habil: 2014, University of Bucharest Bachelor’s: 1994, University of Bucharest His research explores computational methods for historical linguistics, including cognate identification, semantic change analysis, and proto-word reconstruction. He also investigates applications of NLP in mental health (depression/gambling detection), financial text analysis, and DNA sequence similarity. Recent work focuses on multimodal transformers, few-shot learning, and AI-generated text detection. Article trends reveal interdisciplinary work in historical linguistics , mental health informatics , and bioinformatics . He employs rank distance , ensemble methods , and deep learning frameworks across applications from semantic divergence to emotion detection in Romanian tweets. Scientific awards include the Grigore C. Moisil Prize (2007, Romanian Academy) and In Hoc Signo Vinces Prize (2005, National Research Council) . He has supervised 7 completed PhDs and mentors ongoing students at the Interdisciplinary Doctoral School (ISDS) and Computer Science Doctoral School. Current projects involve multi-agent systems for authorship attribution , algorithms for graph structure identification , and linguistic tools for historical analysis . His lab collaborates internationally on DNA sequence analysis and cross-lingual semantic laws research.

Madalina Raschipمشاهده پروفایل

دانشیار

• Constraint satisfaction
• Evolutionary Computation
• Hybrid metaheuristics
• +۴ مورد دیگر

Madalina Raschip is an Associate Professor at the Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi , Romania. Her academic work spans constraint satisfaction, evolutionary computation, hybrid metaheuristics, and data mining. She earned her PhD at the same university and completed post-doctoral studies at the University of Neuchatel, Switzerland, supported by a Sciex Fellowship. Research Interests : Constraint satisfaction, evolutionary algorithms, hybrid optimization, data mining, graph neural networks, and automated algorithm selection. Teaching : Offers courses in Artificial Intelligence, Data Structures, Deep Learning in NLP, and Experimental Analysis of Algorithms. Publications : Focus on hybrid metaheuristics, constraint programming, sorting networks, and biomedical applications. Her work includes collaborations on medical data analysis, ant colony systems, and SAT solving. Awards : Sciex Fellowship for postdoctoral research. Research Groups : Member of the Evolutionary Computing Research Group and DECO (Data Engineering for Constraints Optimization).

Marius Brezovanمشاهده پروفایل

استاد

• Formal Methods
• Object-Oriented Programming
• Image Processing
• +۵ مورد دیگر

Prof. Marius Brezovan is a faculty member at the Department of Software Engineering, Faculty of Automatic Control, Computers and Electronics, University of Craiova. He earned his PhD in Automatic Systems in 1998 under Prof. Dr. Eng. Mircea Ivanescu. Teaching Subjects: Object-Oriented Programming, Expert Systems, Software Engineering, Compiler Design, Formal and Automatic Languages Research Focus: Formal methods in system modeling, concurrent object-oriented programming, image processing, and multimedia applications His publications span topics like Petri nets, image segmentation algorithms, and database migration. He led two CNCSIS-funded projects on object-oriented Petri nets for manufacturing systems and contributed to CNCSIS-accredited publishing houses. As a member of the Research Center 'Development of Multimedia Applications' and the editorial board of 'Else Software', he participates in international conferences as committee member and reviewer.

Costin Badicaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Blockchain
• +۱۳ مورد دیگر

Costin Badica is a University Professor at the University of Craiova, affiliated with the Faculty of Automatic Control, Computers and Electronics. His research focuses on Artificial Intelligence , Machine Learning , Multi-Agent Systems , and Explainable AI . Position: Professor Location: Office 303, Blvd. Decebal no. 107, Craiova, Romania Contact: costin.badica@ucv.ro Professor Badica's work spans Internet of Things , Blockchain , and Intelligent Distributed Systems , with recent publications on decentralized federated learning , agent-based simulations , and emotional recommender systems . He actively contributes to academic conferences like the Balkan Conference in Informatics . Key research trends include AI explainability in job markets, privacy-preserving algorithms , and optimization of industrial systems . He also explores quantum computing applications and bio-inspired approaches in digital image evolution.

Eugen Ganeaمشاهده پروفایل

استادیار

• Object-oriented programming
• Visual Programming Environments
• Software Engineering
• +۴ مورد دیگر

Eugen Ganea is an Assistant Professor at the University of Craiova , affiliated with the Faculty of Automatic Control, Computers and Electronics and the Department of Computer Science and Technology . He has been actively involved in teaching and research since 2003, with a focus on Object-oriented programming , Visual Programming Environments , Software Engineering , and Image Processing . His research spans multiple domains, including: Development of multimedia applications Image segmentation and annotation using hypergraph structures Object-oriented Petri nets for modeling intelligent manufacturing systems Neural networks for shape recognition Medical imaging database systems Notable projects include: CNCSIS TD grant (2007) on neural networks for manufacturing systems CNCSIS Idei grant (2007-2010) on object-oriented Petri nets SIBIM system for medical image querying FOOPN project on multimedia monitoring His work intersects computer science, digital technologies, and healthcare applications. He can be contacted at ganea_eugen@software.ucv.ro or eugen.ganea@ucv.ro .

• Hardware-Software Systems
• Embedded Systems
• Intelligent Robotic Environments
• +۵ مورد دیگر

Dr. Alexandru Iovanovici is an Associate Professor at the Department of Computer Science, Faculty of Automatic Control and Computers, Politehnica University of Timisoara. His research focuses on hardware-software systems, embedded systems, intelligent robotic environments, and complex networks analysis with applications in urban traffic optimization and sensor networks. He holds a Dr. Eng. degree and has received Merit Diplomas in 2021 and 2023. His academic work combines theoretical network science with practical engineering solutions. Notable projects include the INCEPTION initiative exploring IoT and complex networks for COPD management, and TACTICS framework for adaptive traffic control systems. His research bridges computer science, transportation engineering, and biomedical informatics. Education: Dr. Eng. in Computer Science (degree institution unspecified) Key Skills: Network motif analysis, metaheuristic optimization, real-time traffic modeling Research trends show strong emphasis on applying complex networks theory to urban systems: 60% of recent publications (2019-2022) address traffic infrastructure optimization, while 30% explore biomedical applications like drug interaction networks. Recent work demonstrates cross-disciplinary innovation, combining machine learning with embedded systems for wearable healthcare monitoring. Awards: 2023 Merit Diploma for academic contributions, 2021 Merit Diploma Events Organized: 2024 Workshop on Secure Real-Time Data Systems, 2025 IEEE Symposium on Applied Computational Intelligence Active in both academic and applied research, Dr. Iovanovici leads projects involving EU economic dynamics modeling and pandemic-era mobility studies. His lab develops high-availability monitoring systems for sleep disorders and maintains a spatial analysis framework for traffic data integration.

Adrian Marius DEACONUمشاهده پروفایل

دانشیار

• Combinatorial optimization
• Network flow analysis
• Inverse problems in networks
• +۵ مورد دیگر

Adrian Marius DEACONU is an Associate Professor at the Department of Mathematics and Computer Science, Faculty of Mathematics and Computer Science, University of Brașov. His research focuses on combinatorial optimization, network flow analysis, inverse problems in networks, graph theory, and algorithm design with applications in transportation networks, photovoltaic systems, disaster logistics, and computational epidemiology. Recent work includes developing GPU-accelerated algorithms for maximum flow problems, fuzzy optimization approaches for disaster relief logistics, and parameter estimation methods for photovoltaic cells. He has contributed to theoretical advancements in inverse flow problems and pathfinding algorithms under constraints such as network losses and adversarial disruptions. His publications span diverse applications including vaccination efficacy modeling, robust vehicle routing under attacks, and geomagnetic map construction using inverse methods. He maintains an active research agenda in network optimization with a focus on bridging theoretical mathematics and practical engineering solutions.

Horia-Nicolai Teodorescuمشاهده پروفایل

استاد

• Artificial Intelligence
• Biomedical Engineering
• Complex Systems Theory
• +۵ مورد دیگر

Horia-Nicolai Teodorescu is a Professor at the Technical University of Iasi and a Corresponding Member of the Romanian Academy, affiliated with the Institute of Theoretical Computer Science. His academic leadership includes doctoral supervision and teaching advanced subjects like Intelligent Systems, Medical Electronics, and Neuro-Fuzzy Systems. Research Focus: Core interests span Artificial Intelligence (neuro-fuzzy networks, A-Life, VR systems), Biomedical Engineering (medical signal processing, diagnostics), and Complex Systems Theory. Recent work emphasizes sensor technology, IoT resilience, speech analysis under clinical constraints, and network robustness. Publications & Awards: Author of 300+ works and 20+ patents, with extensive editorial contributions including managing FUZZY SYSTEMS & A.I. Reports and Letters . Recognized as IEEE Senior Member and Romanian Academy Correspondent.