جست‌وجوی استاد و پژوهشگر

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.

Balázs Vassمشاهده پروفایل

دانشیار

• Network Resilience
• Programmable Packet Scheduling
• Discrete Optimization
• +۳ مورد دیگر

Assoc. Prof. Balázs Vass is an Associate Professor at University Babeș-Bolyai (Cluj-Napoca, Romania) and holds a Marie Skłodowska-Curie Postdoctoral Fellowship for his QoSeRM project. Previously, he conducted postdoctoral research at Budapest University of Technology and Economics (BME) under Gábor Rétvári and visited institutions in Vienna, Jerusalem, and Bucharest. His research focuses on network resiliency, programmable packet scheduling, and discrete optimization in backbone networks. Education: BSc/MSc in Mathematics/Applied Mathematics (ELTE University), PhD in Future Internet Research at BME under János Tapolcai. Postdoctoral work included collaborations with Stefan Schmid (TU Berlin), David Hay (Hebrew University), and Costin Raiciu (UPB). Research priorities include disaster-aware network design, SRLG-disjoint path algorithms, and compiling packet programs for reconfigurable switches. Recent grants include a Romanian Young Teams grant (2025) and a Marie Curie fellowship (2024-2026). Teaching responsibilities at UBB include courses on algorithms, data structures, and communication networks. Supervises PhD students Zoltán Tasnádi and Nándor Bándi, with student advisees winning multiple awards at national informatics competitions. Key projects: SMR-A-DRT (disaster-resilient routing), QoSeRM (QoS optimization), and contributions to frameworks like eFRADIR for network resilience. Active in conference organizing (INFOCOM TPC since 2023) and journal reviewing (ToN, TNSM).

• 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.

• Natural Language Processing
• Computational Linguistics
• Distributional Semantics
• +۵ مورد دیگر

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

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.

Robert BUCHMANNمشاهده پروفایل

استاد

• Knowledge Management Systems
• Semantic Web
• Enterprise Modeling
• +۳ مورد دیگر

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).

Eugen Borcociمشاهده پروفایل

استاد

• Software Defined Networking
• Network Function Virtualization
• 5G/6G Networks
• +۵ مورد دیگر

Eugen Borcoci serves as a Full Professor in the Department of Telecommunications at the National University of Science and Technology Politehnica Bucharest. With an extensive publication record spanning networking technologies, he has established himself as a significant contributor to the field of telecommunications research. His work bridges theoretical networking concepts with practical implementations, particularly in next-generation network architectures. Professor Borcoci's research interests focus on advanced networking paradigms including Software Defined Networking (SDN), Network Function Virtualization (NFV), and 5G/6G network architectures. He has pioneered work in network slicing technologies, particularly for vehicular communications and Internet of Vehicles applications. His research demonstrates a consistent emphasis on practical implementations and validation of theoretical networking concepts through experimental frameworks and open-source platforms. His recent publication trajectory (2021-2025) reveals a strong focus on Open Source MANO for network automation, SDN controller optimization across different network topologies, and specialized applications of network slicing for electric vehicle infrastructure and vehicular communications. This work demonstrates a clear progression from theoretical networking concepts to practical deployment scenarios with industry relevance. Professor Borcoci actively collaborates with international researchers, particularly with Marius Vochin, Frank Y. Li, and Andra Ciobanu, indicating strong international research connections. His work appears primarily in networking conferences and journals focused on telecommunications infrastructure and next-generation network architectures.

• Electrical Engineering
• Electromechanics
• Computer-Aided Design
• +۳ مورد دیگر

Professor Serhiy Timofeevich Yarimbash is a faculty member at Zaporizhzhia Polytechnic National University, where he serves in the Department of Electrical Machines within the Faculty of Electrical Engineering. Holding the academic title of Professor with a Candidate of Technical Sciences degree, he graduated from Zaporizhia Machine-Building Institute named after V.Ya. Chubar in 1975 as an electromechanical engineer. His research expertise spans electrical engineering, electromechanics, and computer-aided design systems, with a particular focus on the technological preparation of electrical insulation production. Professor Yarimbash teaches specialized courses including Fundamentals of computer-aided design of electrical devices and electromechanical systems, Engineering design of electrical machines and transformers, and Mathematical models and computational research methods in electromechanics. His scholarly contributions have been published in prominent electrical engineering periodicals such as Power Engineering, Electromachinery and Equipment, Electrical Magazine, and Electrical Engineering and Energy. His work demonstrates a consistent focus on integrating computational methods with traditional electrical engineering practices to improve design and manufacturing processes. Professor Yarimbash has published extensively on CAD support systems for electrical equipment production technology and related topics in electrical machine design and manufacturing. His research trajectory shows a clear progression from theoretical foundations to practical applications of computer-aided systems in electrical engineering production environments. He is proficient in Ukrainian, Russian, and English, facilitating international academic collaboration. His office is located in room 260 at the university's main campus at 64 Zhukovsky Street in Zaporizhia, Ukraine.

• Computer Science
• Aerospace Engineering
• Medical Informatics
• +۳ مورد دیگر

Mr. Lucian Barbulescu is an Assistant Professor at the University of Craiova , affiliated with the Faculty of Automatic Control, Computers and Electronics . He graduated from the same faculty in 2003 with an engineering degree in computer science, specializing in English-language instruction. Research Interests : Software engineering for aerospace systems, medical informatics, control theory, neural networks, and simulation environments. Notable Projects : Development of tools for satellite trajectory estimation, dynamic inversion flight control, and medical imaging segmentation. Recent Publications : Focus on cardiac diagnostics, orbit perturbations, and simulation frameworks. Contact : lucian.barbulescu@ucv.ro

• Automotive Engineering
• Environmental Engineering
• Mechanical Engineering
• +۴ مورد دیگر

Mihai Gingarasu is affiliated with the Alexandru Ioan Cuza University of Galati as a Lecturer in the field of Automotive and Environmental Engineering. His research focuses on reducing pollution from vehicles through advanced diagnostics, material analysis, and sustainable design practices. Key areas of interest include: Automotive Engineering Environmental Engineering Material Science Pollution Control His recent publications analyze the environmental impact of vehicle steering systems, polymeric material fatigue, and air pollution mitigation strategies. Notably, he has explored comparative studies between electric and classic vehicles, brake disc efficiency, and suspension system modeling. Despite his contributions, no scientific awards or honors were explicitly mentioned in the provided texts. His work also emphasizes the intersection of mechanical diagnostics and environmental sustainability, particularly in reducing emissions and optimizing waste management processes.

Bogdan-Gabriel BURDUHOSمشاهده پروفایل

دانشیار

• Solar Energy
• Photovoltaic Systems
• Hybrid Renewable Energy Systems
• +۳ مورد دیگر

Bogdan-Gabriel BURDUHOS is an Associate Professor at the University of Technical Education from Brașov (UNITBV), affiliated with the Faculty of Product Design and Environment and the Department of Product Design, Mechatronics and Environment. His research focuses on solar energy systems, photovoltaic technologies, and building energy management. He holds a strong academic position and has contributed extensively to renewable energy research. His research interests include optimizing solar energy conversion, photovoltaic module efficiency, and hybrid renewable systems. He has conducted field experiments on solar tracking mechanisms and their impact on energy yield, particularly in temperate mountain climates. His work bridges mechanical engineering and energy systems, addressing both technical and architectural integration challenges. Dr. BURDUHOS has published over 50 peer-reviewed articles since 2006, focusing on topics like solar tracking systems, PV module performance under varying conditions, and energy management in buildings. His recent work explores the integration of photovoltaics into landmark buildings and the role of energy management systems in achieving nearly zero-energy structures. No scientific awards or grants are explicitly mentioned in the provided text. His contributions include conceptual designs for renewable energy mixes and sustainable communities, emphasizing practical applications of solar and geothermal systems.

Stoicuta Olimpiuمشاهده پروفایل

دانشیار

• Control Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Associate Professor Olimpiu Stoicuta is affiliated with the Polytechnic University of Timișoara's Faculty of Mechanical and Electrical Engineering, Department of Automation, Computers, Electrical and Power Engineering. His research focuses on advanced control systems for electrical motors, renewable energy integration, and econometric analysis of energy policies. He has extensive expertise in sensorless vector control, induction motor modeling, and optical communication technologies. Education details are not explicitly stated in the provided text, but his work indicates a strong background in electrical engineering and control systems. He has published widely on topics including adaptive observers, energy transformation systems, and underground communication solutions. His research interests span multiple domains: (1) Electrical Engineering with emphasis on motor control and power electronics; (2) Renewable Energy focusing on system integration and efficiency improvements; (3) Data Communication involving LiFi and optical networks for industrial applications; and (4) Econometric Modeling related to energy policy analysis in Romania and the EU. Recent publications (2020-2025) highlight trends in AI-driven network optimization, sensorless motor control advancements, and energy policy studies. Articles frequently address practical engineering challenges like underground communication reliability and EV autonomy enhancement. No specific awards or grants are mentioned, though his prolific publication record suggests sustained research activity. Laboratory and team involvement can be inferred through his work on robotics (exoskeleton control) and collaborative projects in industrial automation systems.

Vira Ivanivna Shmyrkoمشاهده پروفایل

دانشیار

• Materials Science
• Corrosion-Mechanical Properties
• Gas Turbine Engineering
• +۴ مورد دیگر

Vira Ivanivna Shmyrko is an Associate Professor at Zaporizhzhia Polytechnic National University with over 30 years of academic experience since 1991. She holds a Candidate of Technical Sciences degree and specializes in two distinct yet complementary fields: materials science for gas turbine engineering and psychophysiological safety. Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar (1990), Engineering and Physics faculty Candidate's thesis in Materials Science (2001): "Evaluation and prediction of corrosion-mechanical and strength properties of materials of working blades under conditions of aggressive influence of gas turbine fuel" Her research spans two primary domains with increasing integration in recent years. Initially focused on materials science for gas turbine components, her work examined corrosion-mechanical properties and durability prediction of turbine blades under aggressive conditions. Since approximately 2015, her research has expanded significantly into occupational safety, psychophysiological safety, and emergency situation management, with particular emphasis on educational settings and wartime conditions. Her recent publications (2023-2025) demonstrate a sophisticated integration of these domains, especially in assessing psycho-emotional states of university students in frontline regions as a tool for labor protection. Her publication record shows consistent scholarly output with 30 scientific works including 2 patents. The most recent articles (2023-2025) reveal a strong focus on wartime safety challenges, particularly the psycho-emotional conditions of students in conflict zones, while maintaining her technical expertise in gas turbine materials. This dual focus reflects her ability to address both technical engineering challenges and human factors in safety management. Chest Sign "For Impeccable Work" III degree from Zaporizhzhia Polytechnic University (2020) Associated Member of the European Community for Occupational Safety and Health (ESOSH), registration No. 13823000217 (June 16, 2023) Professor Shmyrko actively contributes to academic development through participation in international scientific and pedagogical internships, including the VI International Scientific Congress "Society of Ambient Intelligence" (2023) and the International Scientific and Practical Conference "Business Ecosystems: Sustainable Development 2025" (February 2025). She teaches "Safety of life of a specialist with the basics of labor protection" and "Labor Protection in the Industry," connecting theoretical knowledge with practical safety applications. Her recent professional development includes specialized training in legislative acts on labor protection, occupational hygiene, first aid, electrical safety, and fire safety (March 2024). Based in classroom 22a at Zaporizhzhia Polytechnic National University (Zhukovsky Street, 64), Professor Shmyrko maintains an active research program that bridges traditional engineering materials science with contemporary psychosocial safety challenges, particularly relevant in Ukraine's current context.

• 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.

• Electronic Measurement Instruments
• Software Engineering for Electronics
• Passive Components and Circuits
• +۴ مورد دیگر

Clarissa Gatlan holds the position of Lecturer in the Department of Electronics and Information Technology. Her research focuses on electronic measurement systems, optoelectronic structures, reliability analysis of electronic components, and materials science applications in electronics. She also specializes in passive circuit design and software engineering methodologies for electronic systems. Key research areas include developing robust electronic devices (I and II tiers), investigating optoelectronic technologies, and advancing materials for next-generation electronics. No specific publications, awards, or grants are listed in the provided information. Contact details include a listed telephone number: 0232-213737.