جست‌وجوی استاد و پژوهشگر

Alexandra BELIBOUمشاهده پروفایل

مدرس

• Music Education
• Music Therapy
• Music Technology
• +۳ مورد دیگر

Alexandra BELIBOU is a PhD Lecturer at the Department of Music Performance and Pedagogy, Faculty of Music, Transilvania University of Brașov. Her work bridges musicology with modern interdisciplinary approaches, focusing on music education technology, therapeutic applications, and 20th-century compositional analysis. She holds a prominent position in advancing digital pedagogy through software integration. Research Interests: Music therapy methodologies emphasizing pluralistic approaches in clinical settings AI applications in music composition and education Analysis of 20th-century composers like Schoenberg, Reich, and Pärt Cultural studies of folk music traditions (e.g., Irish dance music, Romanian psalmic liturgy) Publications Trends: Recent work explores pandemic-era musician well-being, AI-assisted composition tools, and the intersection of music with medicine/physics. Earlier research delves deeply into psalmic text settings across centuries, minimalist techniques, and numerical symbolism in atonal music. Her teaching and research emphasize bridging traditional musicology with emerging technologies, as seen in proposals for software-based creativity workshops and interdisciplinary curricula.

Stylianos P. Tsitsosمشاهده پروفایل

استاد

• Wireless Radiocommunications
• Microwave Engineering
• Telecommunication Networks
• +۲ مورد دیگر

Professor Stylianos P. Tsitsos is a distinguished academic at the Technological Educational Institute of Serres, Greece, where he serves in the Department of Informatics and Communications within the School of Technological Applications. With a career spanning over two decades in academia and industry, he has established himself as an expert in microwave engineering and telecommunications. His educational background includes a first-class Honors degree in Electrical Engineering from Democritus University of Thrace (1989), a Master's in Telecommunications and Digital Electronics from UMIST, UK (1991), and a PhD in Microwave Engineering from UMIST (1994). His research interests focus on Wireless Radiocommunications, Microwave Engineering, Telecommunication Networks, Numerical Methods in Microwave Devices, and Telecommunications Systems Simulation. Professor Tsitsos' publication record demonstrates consistent contributions to microwave filter design and analysis, with particular emphasis on ceramic monoblock filters for PCS and UMTS mobile communication systems. His work shows a progression from fundamental electromagnetic analysis techniques to practical filter design applications, reflecting both theoretical depth and engineering relevance in the telecommunications field. As a dedicated researcher, he has led multiple significant projects including the ARCHIMEDES II program focused on developing new methods for microwave filter analysis and design, and has collaborated with international organizations including TDK Corporation (Japan) and EPSRC (UK). Throughout his academic career, Professor Tsitsos has held significant administrative responsibilities, serving as Department Head from 2006-2010 and as Acting Director of the School of Technological Applications from 2009-2010, demonstrating his commitment to educational leadership alongside his research activities.

Stavros Vologiannidisمشاهده پروفایل

استادیار

• Control Theory
• Robotics
• Machine Learning
• +۳ مورد دیگر

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.

• Software Reusability
• Reverse Inheritance
• E-Learning
• +۵ مورد دیگر

Ciprian Bogdan Chirila is a Senior Lecturer at the University Politehnica of Timisoara (Faculty of Automation and Computer Science, Computing and Information Technology Department) and also teaches at Ioan Slavici University . His career spans over two decades, with roles in teaching, research, and software development. Education : PhD in Computer Science (2010, University Politehnica Timisoara & University Nice-Sophia Antipolis) Master's in Computer Science & Software Engineering (2002) Engineer Diploma in Automation & Computer Science (2001) Analyst-Programmer Diploma (1996) Research Interests : His work focuses on reverse inheritance for software reusability, generative learning objects for education, and software quality assessment using code metrics. He explores interdisciplinary applications in healthcare, mathematics education, and industrial IT services. Article Trends : Recent publications emphasize adaptive e-learning frameworks , gamification in education , and model-driven development . Key themes include automated assessment , dynamic content generation , and integration of standards like SCORM and xAPI . Scientific Awards : Microsoft Award, Student Scientific Communications Session (2001) Award, Student Scientific Communications Session (2002) Third Place, Mechanics and Robotics Contest (1998) Fourth Place, Traian Lalescu Mathematics Contest (1998) Teaching & Development : He has led laboratory sessions and lectures in Data Structures , Compiler Design , Operating Systems , and Heuristic Methods . He organizes programming contests and develops centralized materials management software as a volunteer engineer.

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

Stanica Lavinia Justinaمشاهده پروفایل

مدرس

• Software programming
• e-Learning
• Artificial Intelligence
• +۱۰ مورد دیگر

Lavinia Stănică Justina is a university lecturer at the Faculty of Managerial Informatics, Romanian-American University (URA), with 18 years of teaching experience in software programming and e-learning domains. Holding a PhD in Cybernetics and Economic Statistics since 2011, she teaches courses in Romanian and English at both bachelor's and master's degree programs. Her research focuses on ICT's role in innovation, educational technologies, and data analysis for energy consumption, with over 30 publications and multiple coordinated research projects. Faculty: Managerial Informatics University: Romanian-American University Academic Rank: Lecturer Teaching Experience: 18 years PhD: Cybernetics and Economic Statistics (2011) Her research interests include: e-Learning systems and technology integration Artificial Intelligence applications in education ICT's impact on innovation performance Mathematical content modeling Energy consumption data analysis Internet of Things implementations Fractal techniques in imaging Recent publications highlight trends in: Comparative innovation-ICT readiness analysis AI education accessibility Smart energy systems Competitive programming metrics Neural network energy forecasting IoT cloud solutions Modular educational software As Erasmus coordinator since 2013 and Institutional Erasmus Coordinator since 2020, she actively promotes internationalization efforts and academic collaboration with partner universities across Europe.

Mirel Cosulschiمشاهده پروفایل

دانشیار

• Algorithms and Complexity
• Software Engineering
• Web Data Management
• +۱۳ مورد دیگر

Mirel Cosulschi is an Associate Professor in the Department of Computer Science at the University of Craiova, Romania, where he has been a faculty member since 1997. He is affiliated with the Faculty of Automation, Computers and Electronics and teaches courses in Graph Algorithms, Software Engineering, Web Data Management, and Fundamentals of Programming at both undergraduate and master's levels. PhD in Computer Science, University of Craiova, 2006 MSc in Artificial Intelligence, University of Craiova, 1998 BSc in Computer Science, University of Craiova, 1997 His research interests include algorithms and complexity, software engineering, web data management, semantic web, distributed programming, and cloud computing. He has supervised numerous BSc and Master’s theses focusing on web applications, mobile development, data processing, and software modeling. His teaching emphasizes algorithmic thinking, structured programming, and modern software development practices. While no formal scientific publications are listed, his academic contributions include authored textbooks such as Algoritmica grafurilor si aplicatii (2014) and Practica programarii in C (2014), indicating active engagement in curriculum development and educational materials. He is involved with the MSDN Academic Alliance and utilizes tools like Windows Installer MSI and Advanced Web Ranking. Mirel Cosulschi has advised over 100 students in thesis projects related to software development, data management, and web technologies. Although no external grants or awards are mentioned, his long-standing academic career and consistent supervision reflect sustained scholarly activity. He maintains a professional web presence at http://inf.ucv.ro/~mirel and can be contacted via email at mirelc@central.ucv.ro . He is currently active in teaching and academic supervision, with no indication of retirement or part-time status.

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.

• Embedded Systems
• Ambient Intelligence
• Internet-of-Things
• +۴ مورد دیگر

Răzvan-Virgil Bogdan is an Assistant Professor at the Faculty of Automation and Computer Science, Politehnica University of Timisoara (PUT), with expertise in Embedded Systems , Automotive Software Testing , and Dependability of Computer Systems . His research bridges Internet-of-Things and e-Learning , focusing on reliability, testing, and intelligent environments. University: Politehnica University of Timisoara School: Faculty of Automation and Computer Science Contact: razvan.bogdan@cs.upt.ro | Room B413A Research Focus: Bogdan's work emphasizes system reliability , embedded software quality , and automotive electronics , with projects like GEMSCLAIM (energy-efficient mobile systems) and HURO JCBICS (cross-border educational infrastructure). He also drives industrial collaborations (e.g., AC_G_xBU_Academy with Continental Automotive Romania). Teaching Career: Bogdan has taught courses such as Embedded Systems , Microprocessor Systems , and Advanced Embedded Systems at PUT, blending theoretical rigor with hands-on lab work in the Vector Lab . His pedagogical approach integrates software testing methodologies and energy-aware system design . Scientific Contributions: He has contributed to embedded systems validation, security frameworks for distributed systems (e.g., TD/54 project ), and automotive software tools. His publications span ACTA POLYTECHNICA HUNGARICA , BRAIN: Broad Research in Artificial Intelligence and Neuroscience , and conference proceedings like IEEE Sustainability and SACI. Awards: Mercy Diplomas 2021 Mercy Diplomas 2020 Memberships: IEEE ACM Prospective Students: Bogdan actively seeks undergrad, Masters, and PhD candidates, emphasizing practical research in automotive embedded systems and IoT . His lab provides direct access for project collaboration and discussions.

Cristina Stângaciuمشاهده پروفایل

مدرس

• Embedded Systems
• Real-Time Systems
• Energy Management
• +۴ مورد دیگر

Cristina Stângaciu is a Lecturer at the Department of Computer and Information Technology, Politehnica University of Timisoara. Her research focuses on embedded systems, real-time systems, IoT, and energy-efficient computing. She has contributed to mixed criticality task scheduling and wireless sensor networks. PhD in Real-Time Systems (2015) Scientific Secretary of Department Involvement in projects: Bright Cityscapes - Synthia, CloudPUTing, TEEFIOS Her research interests span real-time task scheduling, embedded operating systems, and smart sensing systems. Recent work explores IoT security and multicore scheduling techniques. Key article trends include real-time scheduling frameworks, IoT protocol optimization, and energy-efficient embedded systems. Topics like lightweight cryptography and CAN FD improvements are prominent in her 2024-2025 publications. Merit Diplomas (2021, 2022) Merit Awards 2025 As advisor to PhD students, she contributes to advancements in real-time systems through grants and collaborative projects like SCMUPT 2025. Her work integrates practical and theoretical aspects of sensor networks and cloud platforms.

Lorand Szaboمشاهده پروفایل

استاد

• Electrical Machines
• Variable Reluctance Motors
• Linear Electric Generators
• +۴ مورد دیگر

Lorand Szabo is a Full Professor at the Department of Electrical Machines and Drives , Faculty of Electrical Engineering , Technical University of Cluj-Napoca , Romania. He has been affiliated with this institution since 1990, transitioning from Research and Design Engineer to Lecturer (1999), Associate Professor (2007), and Full Professor (current). He also served as an Invited Professor at Pannon University (Hungary, 2007-2008) and University of Pavia (Italy, 2015). Teaching : Special Electrical Machines (1985-present), Electrical Machines and Drives (1996-present), Computer Aided Design of Electromechanical Systems (2009-present). Supervision : Ph.D. supervisor since 2007 for 8 students (6 completed). Research Focus : Linear and variable reluctance electrical machines, fault-tolerant designs, bearing fault detection in motors, and condition monitoring. His work extends to automotive applications (electric vehicles, hybrid systems), wind energy generators, and sustainable material sourcing for electrical machines. Recent Publications (2023-2025) address critical topics in sustainable mobility, including rare earth material dependency, deep-sea mining for electric technologies, battery management systems, and resource-efficient motor designs. These works reflect his interdisciplinary approach combining electrical machine innovation with environmental and industrial systems thinking. Technical Expertise : Finite element analysis (JMAG, ANSYS Motor-CAD), LabVIEW modeling, fault detection algorithms (wavelet transforms, kurtosis deconvolution), and modular motor construction for automotive and renewable energy applications.

• 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.

Radu MARINESCUمشاهده پروفایل

استاد

• Software Engineering
• Software Quality Assurance
• Software Metrics
• +۳ مورد دیگر

Radu Marinescu is a Professor of Software Engineering at the Politehnica University of Timisoara, affiliated with the Department of Computer Science and Engineering. He leads the LOOSE Research Group and is a senior researcher at the e-Austria Institute. His primary roles include teaching graduate courses like Foundations of Software Engineering and Research Topics in Software Engineering. Marinescu's research focuses on software quality assurance, metrics, and maintenance, emphasizing object-oriented systems. He co-founded Intooitus, a spin-off company that develops quality assessment tools like inFusion and inCode. Marinescu holds a Dr. Habil. Eng. and a joint PhD ('magna cum laude') from Politehnica University of Timisoara and University of Karlsruhe. He has authored over 30 international publications and co-authored the best-selling book Object-Oriented Metrics in Practice (Springer). His awards include the IBM John W. Backus Award (2009) and an IBM Eclipse Innovation Award (2006). Marinescu has served as General Chair for ICSM 2010 and on numerous conference program committees. His research projects include developing tools like iPlasma for software analysis and inCode for real-time design flaw detection. Marinescu has advised four PhD students and participated in consultancy projects for companies like Nokia, Alcatel-Lucent, and Siemens VDO Automotive. He actively contributes to the software engineering community through editorial roles, conference organization, and evaluations for EU research programs.

Dan Cristeaمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۳ مورد دیگر

Prof. Dan Cristea is a faculty member at the Faculty of Computer Science, Alexandru Ioan Cuza University (UAIC), specializing in Artificial Intelligence and Natural Language Processing. He holds a PhD and is a corresponding member of the Romanian Academy. His research focuses on computational linguistics, knowledge representation, and historical document deciphering, with notable projects like DeLORo for old Cyrillic texts and EUROLAN Summer Schools. He has supervised numerous students in AI and NLP projects, including systems for question-answering, sentiment analysis, and agent-based models. His work bridges theoretical linguistics with practical applications in digital heritage preservation and multilingual technologies. Education: PhD (not explicitly stated in text), but his academic rank implies doctoral qualifications. Research Interests: AI applications in NLP, discourse analysis, computational linguistics, and cultural heritage digitization. Projects include MappingBooks for geographical text navigation, CoBiLiRo for bimodal corpora, and Sentimatrix for sentiment analysis. He collaborates internationally on corpora like EuReCo and has developed tools for dependency parsing and semantic annotation. Key Achievements: Corresponding member of the Romanian Academy Lead developer of the Corpus of Contemporary Romanian Language (CoRoLa) Pioneered AI-driven historical document transcription systems Grants and Collaborations: Involved in EU-funded projects like i-Librarian and i-Publisher. Collaborates with institutions globally on NLP and corpus linguistics. Labs/Teams: Director of the NLP-Group@UAIC-FII and heads the DeLORo project team.

Marius MARCUمشاهده پروفایل

دانشیار

• Mobile systems and applications
• Dynamic power management
• Dynamic thermal management
• +۴ مورد دیگر

Marius MARCU is an Associate Professor at the Computer and Software Engineering Department , Faculty of Automation and Computers , Politehnica University of Timisoara , Romania. His career spans over two decades, combining academic rigor with industry collaboration, particularly in mobile systems and energy-efficient computing. PhD in Computer Science (2005) Master's in Advanced Computer Engineering (1996) BSc in Computer Systems Engineering (1995) His research focuses on Mobile Systems and Applications , Dynamic Power and Thermal Management , and Power-Aware Applications , with over 60 publications and leadership in 11 R&D projects. His work bridges theoretical advancements with practical implementations in wireless sensor networks and embedded systems. Recent publications emphasize energy characterization , thermal profiling , and wireless positioning accuracy across 2010–2011. He actively contributes to academic governance as Studies Program Manager for the Master of Information Technology and peer reviewer for IEEE and ACM. Merit Diplomas 2021 Project Director, FP7-eMuCo (2008–2010) Advisory roles for Alcatel-Lucent R&D contracts