Find Academic Supervisors

Stylianos P. TsitsosView profile

Professor

• Wireless Radiocommunications
• Microwave Engineering
• Telecommunication Networks
• +2 more

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.

• Digital Signal Processing
• Parallel Computing Architectures
• Nonlinear Dynamics
• +3 more

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 ZsuzsannaView profile

Lecturer

• Software Engineering
• Machine Learning
• Data Mining
• +3 more

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

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.

Adrian SpătaruView profile

Lecturer

• Cloud Computing
• Distributed Systems
• Edge Computing
• +4 more

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
• +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.

• Computer Architecture
• Database Systems
• Data Mining
• +3 more

Anca Andreica is a Professor at the Faculty of Mathematics and Computer Science, Department of Computer Science, at Babes-Bolyai University of Cluj-Napoca. She leads courses in Computer Systems Architecture (2nd-year Mathematics-Computer Science), Data Mining (1st-year Master's in Databases and Distributed Systems), and supervises the Database Research Project (2nd-year Master's). Research Interests: Her work centers on computer architecture , database systems , and data mining , with a focus on low-level programming , assembly language , and software engineering fundamentals. Course materials highlight expertise in 8086 assembly, interrupt handling, and arithmetic operations. Labs & Teaching: She oversees laboratories such as Arithmetic Expressions , Bitwise Operations , and String Operations , emphasizing hands-on learning in system-level programming. Practical exams are conducted in weeks 13-14.

Adriana BalanView profile

Associate Professor

• Mathematical Foundations of Computer Science
• Category Theory
• Coalgebraic Logic
• +6 more

Adriana Balan is an Associate Professor at the Department of Mathematical Methods and Models within Polytechnic University of Bucharest . Her research spans Mathematical Foundations of Computer Science and Non-Commutative Algebra , with a focus on category theory, coalgebraic logic, Hopf algebras, and quantum groups. She has published extensively on topics like enriched distributivity, Stone duality, and Frobenius-type properties in monoidal categories. Key research areas: Category theory with applications in computer science Coalgebraic logic and modal logic Stone duality and generalized metric spaces Noncommutative algebra and Hopf monads Her recent work explores coalgebraic logics over posets, enriched categories, and distributivity in quantale-enriched contexts. She has presented at international conferences including CALCO , CMCS , and the Congress of Romanian Mathematicians . Adriana teaches courses in Linear Algebra , Category Theory , and Quantum Computing , with a research interest in integrating categorical methods with statistical frameworks.

• Mechanics of Deformable Solids
• Mathematical Modeling
• Structural Dynamics
• +1 more

Anton Volodymyrovych Fasolyak is an Associate Professor and Head of the Department of Mathematics at National University "Zaporizhzhia Polytechnic". He actively participates in academic governance as a member of the university's Academic Council, the Faculty of Mechanical Engineering's Academic Council, and the faculty's competition committee. He also maintains the Department of Mathematics webpage and serves on the university's labor collective conference. Dr. Fasolyak holds a Master's degree in Mathematics from Zaporizhia National University (2014), earned with honors, specializing in "Algebra and Number Theory". He defended his Candidate's thesis on "Dynamics of cylindrical shells in a three-dimensional elastic medium" in 2018. His primary research focus is on the Mechanics of Deformable Solids , with expertise in cylindrical shell dynamics in elastic media. His work bridges theoretical mathematics and practical engineering applications, developing specialized methods using bipolar coordinate systems to model complex structural behaviors. His research has significant implications for pipeline design, underground construction, and structural engineering, contributing to more accurate predictions of structural responses under various loading conditions. Analysis of his publication record reveals consistent progression from fundamental shell dynamics to increasingly sophisticated models of reinforced structures. His research demonstrates growing methodological complexity, expanded consideration of boundary conditions, and increasing interdisciplinary connections between mathematics, mechanics, and engineering applications. Key areas include cylindrical shell dynamics, reinforced structures, and specialized coordinate system applications. Dr. Fasolyak has received notable recognition for his academic contributions: Honorary Diploma (2021) from Department of Education and Science of Zaporizhzhia Regional State Administration for the 121st anniversary of NU "Zaporizhzhia Polytechnic" Diploma (2024) from Executive Committee of Zaporizhzhia City Council for the 124th anniversary of NU "Zaporizhzhia Polytechnic" As Head of the Department of Mathematics, Dr. Fasolyak oversees curriculum development and faculty mentoring while teaching Higher Mathematics courses. His department serves as a hub for mathematical research with engineering applications, particularly in structural mechanics and computational methods. He collaborates extensively with researchers Pozhuyev V.I. and Pozhuyev A.V. on advanced mechanics research, contributing to the university's scientific profile in applied mathematics and engineering.

Cătălin Petrea IONView profile

Associate Professor

• Rotating Electrical Machines
• Renewable Energy Sources
• Micro Hydro Power Plants
• +3 more

Cătălin Petrea ION is an Associate Professor at the Department of Electrical Engineering and Applied Physics, Faculty of Electrical Engineering and Computer Science, Transilvania University of Brașov, Romania. His research focuses on rotating electrical machines, renewable energy systems, and micro-hydro power plant technologies. Key Research Areas: Rotating electrical machines, renewable energy sources, micro-hydro power plants Publications: 6 notable works (2011–2023) on induction generators, PMSM design, and microgrid integration His recent publications emphasize energy efficiency in electric machines, sustainable power generation from hydro sources, and integration of autonomous systems into modern grids. Despite no explicit awards or student mentoring details in the text, his work highlights technical contributions to renewable energy infrastructure and applied physics in electrical engineering contexts.

• Natural Language Processing
• Computational Linguistics
• Distributional Semantics
• +5 more

Ana-Sabina Uban is an Associate Professor at the Faculty of Mathematics and Computer Science, University of Bucharest . She earned her Ph.D. in Computer Science in 2020 under the supervision of Professor Liviu Dinu with a thesis on distributional and stylistic aspects of natural language. She teaches and coordinates courses in natural language processing, AI, and machine learning for both computer science and digital humanities students. Education: Ph.D. in Computer Science, University of Bucharest (2020) – Thesis: "Distributional aspects of natural language. Semantic and stylistic dimensions of text" Research Interests: Dr. Uban’s research is strongly interdisciplinary, bridging natural language processing , computational linguistics , psychology , and cognitive science . She explores historical computational linguistics , distributional semantics , and multilingualism , while also investigating explainability in AI models and mental health disorder detection using social media data. Research Trends & Publication Focus: Her recent publications span clinical NLP , mental health detection , historical linguistics , and multilingual cognate identification . A recurring theme is the application of advanced NLP techniques—such as transformer models, contrastive learning, and ensemble classification—to real-world problems in health, literature, and historical language study. Teaching & Student Supervision: Dr. Uban currently teaches and coordinates the following courses: Bio-medical NLP – Master’s level (English) Artificial Intelligence – Bachelor’s level for Mathematics students Practical Introduction to Machine Learning – Master’s level for Digital Humanities students Natural Language Processing 1 & 2 – Master’s labs and projects Contact: auban@fmi.unibuc.ro

Márton LőrincView profile

Professor

• Control Theory of Dynamic Networks
• Nonlinear Systems Control
• Population Dynamics Modeling
• +3 more

Lőrinc Márton is a Professor of Control Systems at the Sapientia Hungarian University of Transylvania, where he serves as deputy head of the Department of Electrical Engineering and leads the Networked and Autonomous Control Systems research group. He also acts as a PhD supervisor at the Doctoral School of Information Science and Technology, University of Pannonia. Research Interests: Control-oriented modeling of dynamic systems Fault diagnosis in interconnected networks Delay compensation in communication systems Population dynamics and migration modeling Robot swarm coordination Key Contributions: Developed control strategies for chemical reaction networks Created delay-robust algorithms for computer networks Formulated migration cost-based population stabilization methods Contact: martonl@ms.sapientia.ro | Office: 1C Calea Sighisoarei, Corunca, Mures 94305, RO

Catalina Gabriela MIHALCEAView profile

Researcher

• Gas Sensing
• Photocatalysis
• Nanomaterials
• +3 more

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.

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