جستجوی استاد راهنمای دانشگاهی

• Digital Signal Processing
• Parallel Computing Architectures
• Nonlinear Dynamics
• +۳ مورد دیگر

Prof. Victor Grigoras is a faculty member at the Technical University of Iași, holding the rank of Professor. He specializes in electrical engineering and computer science, focusing on signal processing, parallel architectures, and nonlinear dynamics in power systems. His research interests include smart grid technologies, renewable energy integration, and data-driven methodologies for grid optimization. He teaches courses such as 'Semnale, Circuite și Sisteme' and 'Algoritmi și Structuri Paralele de Calcul.' His research spans over 15 recent articles (2021–2025), emphasizing advancements in smart grid automation, machine learning applications in voltage quality analysis, and optimal power flow solutions for renewable integration. Notable trends include SCADA system improvements, energy storage strategies for prosumer grids, and IoT-based energy management. His work addresses challenges in grid reliability, power quality, and future urban grid resilience under high EV adoption scenarios. Prof. Grigoras has contributed to frameworks for electric vehicle charging station placement, hydropower plant optimization via data mining, and demand response mechanisms using smart metering. His methodologies often combine clustering techniques with fuzzy logic or metaheuristic algorithms to solve complex grid problems.

Onet-Marian Zsuzsannaمشاهده پروفایل

مدرس

• Software Engineering
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Dr. Onet-Marian Zsuzsanna is a Lecturer in the Department of Computer Science at Babes-Bolyai University in Cluj-Napoca, Romania. Her research focuses on applying machine learning techniques to software engineering challenges, particularly software defect prediction and restructuring. Academic Rank: Lecturer Affiliation: Babes-Bolyai University Department: Computer Science Email: zsuzsanna.onet@ubbcluj.ro Research Interests : Dr. Marian specializes in developing machine learning models (clustering, association rules, reinforcement learning) for software defect detection, package-level restructuring, and test order optimization. She also explores applications of Formal Concept Analysis in text summarization and music pattern discovery. Recent Publications highlight her work in source-code embeddings, unsupervised learning for software analysis, and comparative studies of online/traditional learning environments. Her methods often integrate domain-specific metrics and AI-driven optimization. Contact : zsuzsanna.onet@ubbcluj.ro | Office: Teodor Mihaly street, Room 440

Adrian Spătaruمشاهده پروفایل

مدرس

• Cloud Computing
• Distributed Systems
• Edge Computing
• +۴ مورد دیگر

Adrian Spătaru serves as a Lecturer at the Faculty of Mathematics and Computer Science, West University of Timisoara, Romania, with his office located in room 058. He maintains active academic engagement through direct contact channels including email (adrian.spataru@e-uvt.ro) and phone ((0256) 592 157), reflecting ongoing institutional affiliation and research activities within computer science. His research centers on the integration of edge, cloud, and high-performance computing resources within the cloud continuum framework. Key focus areas include service orchestration, resource management, blockchain applications for decentralized systems, and AI-driven optimization of cloud infrastructures. His work addresses critical challenges in heterogeneous platform integration, fault tolerance, and predictive maintenance across large-scale distributed environments, with notable contributions to container deployment and accelerator-aware application specification. Analysis of his publication trends reveals sustained emphasis on the edge-cloud-HPC continuum since 2018, evolving toward intent-based AI orchestration and heterogeneous hardware integration in recent works. His research bridges theoretical distributed systems concepts with practical applications in environmental monitoring (solar forecasting, freshwater quality assessment) and industrial cloud reliability, demonstrating both academic rigor and real-world impact. No scientific awards are documented in the provided institutional information. Details regarding student supervision, research grants, or laboratory affiliations are not specified in the available materials. Current research directions appear focused on advancing the edge-cloud-HPC continuum through heterogeneous platform integration, with 2025 publications indicating active development in this domain.

• Distributed computing
• Parallel computing
• Cloud computing
• +۶ مورد دیگر

Dana Petcu is a Professor at the Computer Science Department of the Faculty of Mathematics and Computer Science at West University of Timisoara. She serves as Director of both the Institute for Advanced Environmental Research and Institute e-Austria Timisoara. With expertise in distributed and parallel computing, she has published over two hundred papers on Cloud, Grid, Cluster, and HPC computing. She is also the chief editor of the open-access journal Scalable Computing: Practice and Experience (SCPE) and has coordinated multiple European Commission-funded projects. Education: Ms. Degree in Computer Science Ph.D. in Numerical Analysis Dana Petcu's research focuses on distributed and parallel computing systems. Her current interests include Cloud & Grid computing, and HPC & Cluster computing. Previously, she worked on Mathematical software, Numerical methods, and Computer graphics. Her work bridges theoretical foundations with practical implementations, particularly in resource management, scheduling algorithms, and scalable computing architectures. She has developed significant expertise in applying these technologies to scientific computing, data-intensive applications, and multi-cloud environments. Her scholarly output demonstrates consistent focus on cloud and distributed computing evolution. Over the past decade, her research has shifted from foundational grid computing to modern cloud technologies, edge computing, and exascale systems. Key themes include resource management across heterogeneous environments, autonomic systems, security SLAs, and multi-cloud portability. Her work shows increasing interdisciplinary connections, particularly with AI/ML techniques applied to resource optimization and anomaly detection in large-scale systems. Scientific Awards: Maria Sibylla Merian-Award (2005) IBM Faculty Award (2009) MLNR Award "Spiru Haret" (2015) Romanian Academy Award "Gheorghe Cartianu" (2015) Dana Petcu has advised numerous graduate students through various master's programs in Distributed and Parallel Computing. She has secured substantial research funding as coordinator of FP7 projects HOST and SPRERS, and as scientific coordinator of mOSAIC. Her grant portfolio includes multiple European Commission-funded initiatives focused on cloud computing infrastructure, resource management, and multi-cloud environments. She has also contributed to EU Research Activities in Cloud Computing as an editor, demonstrating her leadership in shaping European research agendas in this field. She leads the Computer Science Research Center (CCI) and High Performance Computing Service Center (HPC-UVT) at West University of Timisoara. Her teams develop and maintain significant infrastructure for distributed computing research, including simulation environments like CloudSim and iFogSim. She has established strong connections between academic research and practical applications through Institute e-Austria Timisoara, fostering technology transfer and innovation in cloud computing solutions.

Catalina Gabriela MIHALCEAمشاهده پروفایل

پژوهشگر

• Gas Sensing
• Photocatalysis
• Nanomaterials
• +۳ مورد دیگر

Catalina Gabriela MIHALCEA serves as an Assistant Researcher at the Laboratory of Atomic Structures and Defects in Advanced Materials (LASDAM) within the National Institute of Materials Physics. Her work focuses on advanced nanomaterials for gas sensing and photocatalytic applications, with particular expertise in metal oxide semiconductors including TiO 2 , SnO 2 , NiO, and WO 3 . Her research interests span gas sensing mechanisms (particularly for CO 2 , methane, acetone, and hydrogen), defect engineering in nanomaterials , and photocatalytic performance optimization . Key methodologies include hydrothermal synthesis, co-precipitation, and advanced characterization techniques such as EPR spectroscopy, TEM, and XRD. She investigates how morpho-structural properties, synthesis parameters, and environmental conditions (humidity, temperature) affect material performance. Analysis of her 15 most recent publications reveals a strong emphasis on in-field condition testing using computer-controlled Gas Mixing Systems, with significant contributions to understanding charge carrier trapping in phase-transforming TiO 2 , electrode geometry effects in SnO 2 sensors, and humidity-resistant sensing platforms. Her work demonstrates consistent innovation in sensor design and fundamental material behavior under operational conditions. She actively collaborates with researchers across multiple institutions, evidenced by co-authorship on publications spanning materials synthesis, characterization, and application testing. Her technical contributions include developing synthesis protocols for black TiO 2 with enhanced visible-light photocatalysis and optimizing WO 3 sensors for low-concentration acetone detection in high-humidity environments.

• Solid State Physics
• Nanoelectronics
• Plasmonics
• +۴ مورد دیگر

Vitaliy Igorovich Reva serves as an Associate Professor in the Department of Information Security and Nano-electronics at Zaporizhia Polytechnic National University's Faculty of Information Security and Electronic Communications. With a Candidate of Physical and Mathematical Sciences degree, his academic career at the university began in 2014 following his 2012 graduation with honors from Zaporizhia National Technical University where he earned a Master's degree in Micro- and nanoelectronic devices and devices. Dr. Reva's research spans multiple domains within nanotechnology and solid-state physics, with particular expertise in plasmonics, cluster physics, and positron behavior in solids. His work demonstrates a strong theoretical foundation combined with practical applications in nanoelectronics and materials science. His publications reveal a consistent research trajectory focusing on nanoscale phenomena, particularly the energy characteristics of metal clusters and plasmonic effects in nanostructures. Analysis of his 15 most recent publications shows a clear progression from fundamental studies of metal clusters and vacancies toward more applied research in plasmonics and nanoelectronics. His work bridges theoretical physics with practical applications in solar cell technology, catalysis, and biomedical applications. The research demonstrates strong international collaboration, with publications appearing in journals covering physics, materials science, and nanotechnology. Dr. Reva teaches courses including Process management in quality assurance, Metrological quality assurance of products, Computer Engineering and Programming, Microprocessor technology, and Programming technologies, reflecting his expertise in both theoretical and applied aspects of micro- and nanoelectronics.

Libal Andrasمشاهده پروفایل

دانشیار

• Computer Simulation
• Soft Condensed Matter Physics
• Active Matter
• +۵ مورد دیگر

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.

Marian Barbuمشاهده پروفایل

استاد

• Modelling and Control of Biotechnological Systems
• Renewable Energy Systems
• Nonlinear Systems
• +۱ مورد دیگر

Dr. Marian Barbu is a Professor and Dean of the Faculty of Automation, Computers, Electrical Engineering, and Electronics at Dunarea de Jos University of Galati, Romania. He holds a Ph.D. in Automation (2006) and a Habilitation in System Engineering (2016). His research focuses on Modelling and Control of Biotechnological Systems, Renewable Energy Systems, Nonlinear Systems, and Robust Control. He has authored over 120 publications, 3 textbooks, and serves as an evaluator for the Romanian Agency for Quality Assurance in Higher Education. Education: Ph.D. in Automation, Dunarea de Jos University of Galati (2006) Habilitation Thesis in System Engineering, same university (2016) Research Interests: Wastewater Treatment Process Control Microalgae Cultivation Optimization Machine Learning in Medical Imaging Model Predictive Control (MPC) Applications Professional Activities: General Chair of ICSTCC 2022 and IEEE ETFA 2023 Senior Member of IEEE (since 2020) Editor-in-Chief of the System Theory, Control and Computing Journal Awards: Best Paper Award for Young Researcher (2013) Best Paper Award on Water Resource Management (2010) He leads academic management initiatives and has directed multiple research grants focused on sustainable water systems and industrial automation.

Ana-Maria Gînsacمشاهده پروفایل

پژوهشگر

• history of the Romanian language
• Romanian philology
• onomastics
• +۶ مورد دیگر

Dr. Ana-Maria Gînsac serves as Scientific Researcher II at the Department of Socio-Human Sciences within the Institute for Interdisciplinary Research and concurrently as Associate Lecturer at the Faculty of Letters (Classical Philology) at Alexandru Ioan Cuza University of Iași. Her scholarly profile integrates historical linguistics, philology, and cultural heritage conservation with emphasis on premodern Romanian textual traditions. Her core research investigates the evolution of the Romanian language during the 16th-17th centuries, specializing in early Bible translations from Greek/Latin/Slavonic sources ( Monumenta linguae Dacoromanorum. Biblia 1688 ) and the adaptation of foreign onomastics in premodern texts (1780-1830). Expertise spans Romanian-Cyrillic paleography, historical lexicography, and digital corpus development for cultural heritage preservation. Current projects analyze psalters, lexicons, and administrative documents through philological and computational lenses. Recent publications demonstrate methodological rigor in examining lexical relics, calque translations, and toponym adaptation across European biblical traditions. Her work reveals systematic patterns in vernacular translation choices (e.g., Psalm 67:26 variants) and grammaticalization clusters in medieval documents, establishing Romania's role in pan-European linguistic transmission networks. Digital humanities approaches feature prominently in corpus alignment and manuscript analysis.

• Mobile Computing
• Distributed Systems
• File Systems
• +۳ مورد دیگر

Dan Cojocar is a Lecturer in the Department of Computer Science at Babeș-Bolyai University, Cluj-Napoca, Romania. He serves as Lab Instructor for the Mobile Applications course (2024-2025) teaching third-year English-speaking students, and instructs multiple undergraduate courses including Operating Systems laboratories, Web Services and Middleware Technologies, IoT & Android Things, and Tutoriat sessions. His academic responsibilities span course development, laboratory instruction, and bachelor thesis supervision across both semesters of the academic year. Cojocar's research centers on distributed systems with emphasis on the BBUFs (Babeș-Bolyai University File System) framework, mobile computing architectures, and formal verification methods. His scholarly work explores replication strategies, synchronization mechanisms, IPv6-based lookup systems, and aspect-oriented programming for monitoring. The research demonstrates strong integration between theoretical computer science (π-Calculus modeling) and practical system implementation, particularly in Unix-based distributed environments and mobile network routing. Analysis of Cojocar's publication timeline (2006-2015) reveals progressive specialization from foundational web application development toward advanced distributed systems. Early work focused on model-driven approaches (2006) and session management (2007), evolving into BBUFs architecture (2008-2009) and sophisticated replication strategies (2011). The research trajectory shows increasing sophistication in formal methods application while maintaining practical relevance to file system design and mobile networking challenges, with later publications integrating mobile ambient concepts into network routing schemes (2015). Through his GitHub repository (dancojocar/ma), Cojocar maintains comprehensive Mobile Applications course materials used since 2016, featuring multi-language support (Kotlin 40.1%, Java 34.4%) and contemporary mobile development practices. His educational contributions include developing laboratory frameworks for Android, Flutter, and Firebase integration, with course infrastructure utilizing Microsoft Teams and GitHub for student collaboration. The repository's academic adoption (21 stars, 38 forks) demonstrates recognition of his pedagogical approach to mobile computing education.

• Complex Networks
• Network Motifs
• Community Detection
• +۵ مورد دیگر

Bogdan Mursa serves as a Lecturer in the Department of Computer Science at the Faculty of Mathematics and Computer Science, Babeş-Bolyai University in Cluj-Napoca, Romania. His academic profile centers on complex networks research with specialized expertise in network motifs, evidenced through extensive publications spanning theoretical foundations to biological applications. His primary research focuses on network motifs as fundamental building blocks for understanding complex systems, with investigations into motif-topology correlations, dynamic flow across network layers, and efficient detection methodologies. This work integrates graph theory, machine learning, and high-performance computing to address challenges in community detection, node selection, and multi-scale network analysis. His research bridges theoretical network science with practical applications in biological systems and rehabilitation technology. Analysis of his publication trajectory (2014-2024) reveals evolving methodological sophistication: from early biomechanical applications (tongue tracking for stroke rehabilitation) to advanced motif-centric frameworks. Recent work emphasizes evolutionary algorithms for network generation (2024), automated model training techniques (2023), and ant colony social behavior modeling (2022), demonstrating consistent innovation in motif-based network analysis while expanding into interdisciplinary domains. No scientific awards were documented in the provided materials. Available information does not specify graduate student supervision, research grants, or collaborative projects. His current work appears centered on algorithmic development for network motif applications across computational and biological domains, with emerging exploration of automated techniques in model training.

GRIGORESCU IOANA GABRIELAمشاهده پروفایل

استادیار

• Microeconomics
• Macroeconomics
• Economic Education
• +۳ مورد دیگر

Asist.univ.dr. GRIGORESCU IOANA GABRIELA is a university assistant at the Faculty of Managerial Informatics, Romanian-American University in Bucharest. She graduated from the Faculty of European Economic Studies at the Romanian-American University in 2007 and earned her doctorate in economic sciences in 2015. She serves as a member of the department council for 'Commerce, Economic Integration and Business Administration' and focuses on teaching micro and macroeconomics while developing students' communication skills and teamwork abilities. Her educational background includes: 2007: Graduated from the Faculty of European Economic Studies, Romanian-American University, Bucharest 2015: Doctor in Economic Sciences Dr. Grigorescu's research spans digital economics, business administration, and educational technology. Her scholarly work demonstrates a progression from traditional economic topics like credit rating agencies and banking industry structure (2014-2015) toward more contemporary issues including digital analysis of emotional intelligence, government-funded businesses, and pandemic impacts on transport. She has developed ASANA, a program for digitizing university teaching activities, reflecting her commitment to educational innovation. Her publications reveal consistent scholarly output with increasing focus on digital methodologies and contemporary economic challenges facing Romania. Her scientific contributions include: Quantitative analysis of emotional and motor intelligence by gender differences Empirical studies of Romanian start-ups and government-funded businesses Development of digital tools for university teaching activities Analysis of pandemic impacts on regional transport systems Research on ERP software implementation in the digital economy Dr. Grigorescu maintains professional interests beyond her academic work, particularly in gardening as a direct connection with nature and dancing as an innovative communication method between partners and means of expression through elegance and energy, reflecting her holistic approach to education and personal development.

• nanometrology
• nanophysics
• nanotechnology
• +۵ مورد دیگر

Valentin Valterovich Pogosov is a Professor at the Department of Physical Materials Science within the Engineering-Physics Faculty of National University Zaporizhzhia Polytechnic. With a career spanning over four decades since 1979, he has established himself as a leading researcher in nanotechnology and condensed matter physics. Dr. Pogosov earned his degree as an Electronics Engineer from Moscow Power Engineering Institute in 1977. He completed his Candidate's thesis on 'Electrophysical properties of small metal particles in low-temperature plasma' in 1987 at the Institute of High Temperatures of the USSR Academy of Sciences, and his Doctoral dissertation on 'Theoretical study of the energy properties of polyatomic complexes with a surface of significant curvature: clusters, vacancies' in 1997 at the Institute of High Temperatures of the Russian Academy of Sciences. His work was nostrified at Taras Shevchenko National University of Kyiv in 1998. Professor Pogosov's research focuses on the frontier of nanoscale physics, with particular expertise in nanometrology, nanophysics, cluster physics, surface physics, and plasma physics. His work bridges fundamental theoretical physics with practical applications in nanotechnology. He has made significant contributions to understanding the behavior of positrons in solids and liquids, and the development of single-electronic devices. His research has evolved from studying fundamental properties of small metal particles to more complex systems involving nanoclusters, vacancies, and bimetallic structures. His recent publications demonstrate continued focus on optical properties of nanomaterials, energy characteristics of nanoclusters, and the behavior of charged systems at the nanoscale. The research shows strong interdisciplinary connections between physics, materials science, and nanotechnology, with applications spanning from fundamental quantum phenomena to potential device implementations. Professor Pogosov has been recognized with numerous awards: Honorary Diploma of the Ministry of Education of Ukraine (2000) Honorary Diploma of the Zaporizhzhia Regional State Administration (2005) Badge 'Excellence in Education of Ukraine' (2007) Badge 'Petro Mohyla' (2011) Badge 'For Impeccable Work' III degree (2013) Throughout his career, Professor Pogosov has secured significant international funding, including from the Russian Foundation for Basic Research, Soros Foundation, and NATO's 'Science for Peace' Programme. He has actively participated in the Academic Council of National University 'Zaporizhzhia Polytechnic' and the IIRE Academic Council FRET. His expertise has been shared through teaching courses in Physical Chemistry, Solid State Physics, Physics of Nanoclusters and Thin Films, Fundamentals of Surface Physics, and Modern Directions of Nanotechnology. Professor Pogosov maintains strong international collaborations and has presented his research at numerous international conferences focused on clusters, nanostructured materials, and thin film technologies. His work continues to advance our understanding of nanoscale phenomena and their applications.

• Machine Learning
• Computer Vision
• Bioinformatics
• +۴ مورد دیگر

Adriana Birlutiu is a Lecturer in the Computer Science Department at 1 December 1918 University of Alba Iulia , Romania. Her expertise lies in machine learning, computer vision, bioinformatics, and transfer learning, with a recent focus on porcelain-industry optimisation. Education Ph.D., Radboud University Nijmegen, Netherlands (2011) M.Sc., Babeș-Bolyai University of Cluj-Napoca & University of Lorraine (Erasmus), 2005 B.Sc., Babeș-Bolyai University of Cluj-Napoca, 2004 Research Interests Adriana's research spans machine learning , deep learning , computer vision , and bioinformatics . She has contributed to preference learning, domain adaptation, protein–protein interaction prediction, and automated quality control in porcelain manufacturing. Her recent projects integrate deep neural networks with industrial computer-vision systems to detect defects and recognise characters on ceramic surfaces. Publication Trends Across 15 recent publications (2010-2019), Adriana has consistently explored transfer learning , multi-task learning , and Bayesian methods . Articles cluster around two major axes: biomedical applications (protein networks, cancer relapse prediction, respiratory-motion modelling for radiotherapy) and industrial AI (porcelain defect detection, character recognition). The work shows a clear evolution from theoretical machine-learning foundations to practical, domain-specific implementations. Grants & Projects SIVAP (2016-2018): Intelligent ML & computer-vision system for porcelain manufacturing optimisation, UEFISCDI PN-III-P2-2.1-BG-2016-0333. CMRCC (2017-2018): Computational Models for Reproducing Ceramics Colors, UEFISCDI PN-III-P2-2.1-PED-2016-1835. Student Supervision & Mentoring Adriana has supervised more than 25 undergraduate and master’s theses. Her students have won multiple awards at national conferences such as In-Extenso and SCCSS-IEECC , covering topics from automated defect detection to web applications for academic scheduling. Teaching Responsibilities She teaches courses including Machine Learning , Mathematical Software , Fundamental Algorithms , Object-Oriented Databases , and Modelling and Simulation at both undergraduate and master levels.

• Real and Complex Singularities
• Stratifications
• Real Algebraic Geometry
• +۳ مورد دیگر

Laurentiu Paunescu is a Professor in the School of Mathematics and Statistics at the University of Sydney. He specializes in Real and Complex Singularities, Stratifications, and Algebraic Geometry. His research explores geometric criteria for singularity analysis, blow-analytic equivalence, and the interplay between real and complex Milnor fibers. He teaches Metric Spaces (Advanced) and organizes workshops like the Australian-Japanese Real and Complex Singularities Workshop. His work includes contributions to stratification theory, polynomial equations for topological surfaces, and connectivity of complex hypersurfaces. Key research interests focus on the geometric and topological properties of singular spaces, including curvature concentration, Lipschitz invariants, and algebraic stratifications. His publications span over four decades, addressing topics from singularity theory to algebraic geometry applications.