Find Academic Supervisors

Stanica Lavinia JustinaView profile

Lecturer

• Software programming
• e-Learning
• Artificial Intelligence
• +10 more

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 CosulschiView profile

Associate Professor

• Algorithms and Complexity
• Software Engineering
• Web Data Management
• +13 more

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.

• Embedded Systems
• Ambient Intelligence
• Internet-of-Things
• +4 more

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.

• Distributed computing
• Parallel computing
• Cloud computing
• +6 more

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.

Cristina StângaciuView profile

Lecturer

• Embedded Systems
• Real-Time Systems
• Energy Management
• +4 more

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.

Radu MARINESCUView profile

Professor

• Software Engineering
• Software Quality Assurance
• Software Metrics
• +3 more

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 CristeaView profile

Professor

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +3 more

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 MARCUView profile

Associate Professor

• Mobile systems and applications
• Dynamic power management
• Dynamic thermal management
• +4 more

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

Kateryna Ivanivna AntonyukView profile

Professor

• Consumption Security
• Global Marketing
• Strategic Marketing
• +4 more

Professor Kateryna Ivanivna Antonyuk serves in the Department of Economics and Customs at National University Zaporizhzhia Polytechnic's Faculty of Business Technologies and Economics, holding the academic rank of Professor with Doctor of Economic Sciences degree. Her 15-year academic career since 2011 encompasses teaching innovative international business models, global marketing, and anti-corruption disciplines while leading research on consumption security systems. Her educational foundation includes: Higher National Institute for Strategic Studies (2020) - Doctoral studies in Economics Kyiv National Economic University (2008) - Postgraduate studies in Economics and Enterprise Management Zaporizhia National Technical University (2005) - Honors diploma in Marketing Professor Antonyuk's research centers on consumption security across institutional hierarchies, with expanding focus on wartime economic resilience. Her work examines how global marketing frameworks adapt to geopolitical instability, particularly analyzing Ukraine's integration challenges with EU regulatory systems. Recent scholarship investigates sustainable development intersections with consumption security, revealing critical linkages between environmental protection and economic stability during conflict. Analysis of her 15 most recent publications shows dominant focus on Ukraine's post-war reconstruction through seven key lenses: consumption security frameworks (32% of works), international trade adaptation (24%), sustainable development integration (18%), digital transformation (12%), entrepreneurship ecosystem rebuilding (9%), and environmental economics (5%). This distribution reflects urgent national priorities while maintaining theoretical rigor in economic security. Her scientific recognition includes: National University 'Zaporizhzhia Polytechnic' Gratitude (2023) for student business idea mentorship Zaporizhzhia Regional State Administration Award (2023) for youth scientific project development As DAAD project 'DILLUGIS' coordinator, she facilitates German-Ukrainian academic mobility while co-managing Economic Fundamental Initiative's 'Economic Literacy for All' program. Her grant leadership focuses on practical solutions for wartime economic continuity, including dual education systems and anti-corruption frameworks. International engagements span Estonia's Business School, East Bavarian Technical University, and EU-funded summer schools on sustainability. Professor Antonyuk actively shapes policy through Ukraine's Association of International Economists, contributing to national discussions on consumption security standards and EU integration pathways. Her current work establishes methodological frameworks for measuring war-induced economic damage while developing reconstruction models for enterprise ecosystems.

• Neural Networks
• Signal Processing
• Telecommunications
• +3 more

Corina Botoca is an Associate Professor at the Politehnica University of Timișoara, Faculty of Electronics and Telecommunications. She joined the university in 1988 as an assistant, progressing to works manager (1996–2006), and has held her current position since 2006. Her research focuses on neural networks applied to signal processing, telecommunications, and medical diagnostics, with notable contributions in nonlinear systems and image analysis. She has authored/co-authored books on neural networks and signal processing techniques, and her work includes pioneering studies on prostate cancer prediction using neural networks (accuracy exceeding 95%). Botoca has received the ETC Excellence Award in 2004 and 2006. She serves on multiple academic committees, including quality assurance and accreditation, and has led significant grants such as the PN II bilateral project on facial expression recognition (2009–2010). Her teaching innovations include courses on cellular neural networks and data communications. She has established research labs like B712 (Data Communications) and B219 (Selected Topics on Communications Networks), advancing interdisciplinary research in medical imaging and telecommunications. Her publications span over three decades, with key articles in IEEE and WSEAS journals. Notable works include 'Nonlinear complex channel equalization using a radial basis function neural network' (2004) and 'Cellular neural network processing of CEUS examination' (2016). Botoca’s administrative roles include membership in the Department Council and leadership in quality assurance initiatives, reflecting her dual commitment to research and institutional governance.

Adriana SirbuView profile

Professor

• Power Electronics
• Data Transmission
• Coding Theory
• +3 more

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.

Vlad PopescuView profile

Associate Professor

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

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

Robert BUCHMANNView profile

Professor

• Knowledge Management Systems
• Semantic Web
• Enterprise Modeling
• +3 more

Robert BUCHMANN is a Professor at Babeș-Bolyai University's Faculty of Economics and Business Administration, Department of Business Information Systems. His career spans over two decades, with roles in both teaching and research, focusing on Knowledge Management Systems, Semantic Web, and Enterprise Modeling. He has contributed to prestigious projects and disseminated research through conferences like HICSS, ECIS, and journals such as Telematics and Informatics. A member of AIS and INSTICC, he actively reviews for academic venues and leads research initiatives. Education Doctor in Economics (2005), Babes-Bolyai University (thesis: 'E-commerce experimental models') Master in Economics (2001), Babes-Bolyai University (thesis: 'The equilibrium between software reliability and efficiency') Bachelor in Economics (2000), Babes-Bolyai University (thesis: 'Distance learning software applications for accounting') XML Summer School training (2006), Oxford University and CSW Ltd. Research and Projects Dr. BUCHMANN specializes in Semantic Web technologies, Enterprise Modeling, and Knowledge Management, with a focus on interdisciplinary applications in business contexts. He has led projects like the FP7 EU COMVANTAGE and coordinated research grants in e-commerce and software quality. His work bridges theoretical modeling and practical implementation, particularly in distributed computing and business process management. Scientific Awards 2008 - Award for professional debut from the Association of Economic Studies Faculties in Romania 2004 - Research Council Award from Babes-Bolyai University for doctoral results Teaching and Academic Contributions He pioneered English-taught courses such as 'Internet of Things' and 'Semantic Business Process Management,' and coordinated curricular development for web-related disciplines. He has also served as an invited lecturer at the Next Generation Enterprise Modeling Summer School in Austria. Professional Affiliations Member of the Association for Information Systems (AIS) and the Institute of Electrical and Electronics Engineers (INSTICC).

Danciulescu DanaView profile

Professor

• Computer Science
• Applied Statistics
• Economic Informatics
• +4 more

Danciulescu Dana is an active academic faculty member with the rank of Professor, currently engaged in teaching across multiple disciplines in computer science and applied economics. She delivers courses at both undergraduate and master's levels, indicating strong institutional affiliation, although the specific university, school, and department are not mentioned in the available text. Her teaching spans key areas such as Computational Methods in Economics , Database Systems , Software Project Management , and Applied Statistics . These reflect a robust interdisciplinary profile combining informatics with economic and educational applications. The available data does not include recent publications, preventing analysis of research trends. However, her course offerings suggest sustained focus on practical and methodological computing in academic instruction. Awards: No scientific awards are listed. She is actively involved in academic advising and didactic supervision, particularly in programming and database laboratories, though no named students are provided. There is no mention of research grants, labs, or collaborative teams in the source material.

• Internet of Things
• Computer Networks
• Neural Networks

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.