جستجوی استاد راهنمای دانشگاهی

• Computer Science
• Medical Imaging
• Virtual Reality
• +۴ مورد دیگر

Dr. Victor Asavei is a Lecturer in the Faculty of Automatic Control and Computers at the Politehnica University of Bucharest. His research spans interdisciplinary areas including virtual reality, medical imaging, and high-performance computing. He is affiliated with the 3DUPB Lab, focusing on 3D virtual environments and GPU optimizations for massive multiplayer online systems. His work integrates computer graphics, signal processing, and network engineering, with notable contributions to 3D Smith chart theory, medical image processing for orthopedic applications, and real-time 3D reconstruction techniques. Collaborations include projects on augmented reality in surgery, distributed file systems, and immersive virtual rehabilitation systems. Key research directions include: Virtual Reality (VR) and Augmented Reality (AR) applications in healthcare and education GPU-accelerated algorithms for medical imaging and deferred rendering RF/microwave engineering with focus on nonlinear circuits and impedance analysis Software-Defined Networking (SDN) architectures for data centers Notable publications highlight advancements in 3D Smith chart visualization, real-time depth map processing on mobile devices, and scalable server architectures for 3D virtual spaces. He actively contributes to conferences such as IEEE Microwave Symposium and RoEduNet. Research infrastructure includes collaborations with medical institutions for computer-aided surgery tools and partnerships with industry on nearshore software development methodologies.

Ioan Stamatinمشاهده پروفایل

استاد

• Renewable Energy
• Nanotechnology
• Electrochemical Energy Converters
• +۷ مورد دیگر

Prof. Ioan Stamatin, PhD, is a Professor at the Faculty of Physics of the University of Bucharest and Director of the 3Nano-SAE Center (Nanosciences – Alternative Energy Sources). His research focuses on renewable energy systems, biofuel cells, nanomaterials, and eco-nanotechnologies. He leads interdisciplinary projects involving electrochemical energy converters, material characterization, and rapid prototyping. The 3Nano-SAE Center, established under his direction, bridges academic research with student engagement in areas like biofuel cell development, nanoparticle applications, and sustainable energy solutions. His work emphasizes practical applications of nanotechnology, such as using microorganisms in biofuel cells for platinum recovery and leveraging nanoparticles for plant studies. Prof. Stamatin coordinates national and international projects, including those resulting in patents, and fosters collaboration between faculty, researchers, and students. His contributions span scientific communication, including episodes of the microSCOPE series explaining the Center’s mission and advancements in renewable energy. Prof. Stamatin’s expertise spans electrochemical systems, polymer science, and sustainable technologies. He integrates innovative methods like laser-induced graphene and hybrid energy systems into his research, addressing global challenges in energy storage and environmental sustainability. While no specific grants or awards are listed, his leadership in high-impact projects underscores his significant contributions to the field. The 3Nano-SAE Center serves as a hub for interdisciplinary experimentation, enabling students to apply theoretical knowledge to real-world problems. Ongoing research includes advancements in proton exchange membranes, thermal management composites, and microbial electrolysis cells for hydrogen production.

• Criminal Law
• Criminal Procedural Law
• European Criminal Law
• +۶ مورد دیگر

Prof. Dr. habil. Duvac Constantin serves as Professor and Dean at the Faculty of Law, Romanian-American University since 2020. He obtained his doctorate in criminal law (2008) and habilitation (2016) from the Romanian Academy. His academic journey includes postgraduate studies in Criminal Legal Sciences , International Business Law , Administrative Sciences , Management , and National Security Issues (1998-2013). As PhD supervisor (since 2019) and Editor-in-Chief of the Criminal Law Journal (since 2012), he shapes legal scholarship through mentorship and editorial leadership. Doctoral thesis: "Apparent Plurality of Crimes" (2008) Habilitation: Romanian Academy (2016) Postgraduate: Criminal Legal Sciences (1998), International Business Law (1998), Administrative Sciences (1998-1999), Management (2007) His research focuses on criminal law , criminal procedure , European criminal law , forensic science , and criminology , with particular emphasis on AI integration in legal systems , comparative penal code analysis , and criminal justice modernization . The 15 most recent publications (2016-2025) reveal sustained engagement with comparative legal studies , forensic contributions to judicial performance , and emerging criminal law challenges like digital security and environmental crime. Order 'Manliness and Faith' (Officer rank) (2006) Ioan Tanoviceanu Award (2009) Vintilă Dongoroz Award (2010, 2016) A leading legal scholar , Prof. Duvac has supervised 126 conference studies , authored 13 specialized works , and participated in 10 research projects . His editorial work with the Criminal Law Journal and review articles maintain scholarly discourse continuity. Professional leadership includes presidencies in multiple legal associations (2012-2019).

• Solar Thermal Systems
• Mechanical Systems
• Solar Energy Conversion
• +۲ مورد دیگر

Daniela Ciobanu is an Associate Professor at the Faculty of Product Design and Environment of Transilvania University of Brașov, Romania, where she works in the Department of Product Design, Mechatronics and Environment. Her research focuses on solar thermal systems, mechanical systems, and solar energy conversion technologies. Research Interests : Kinematic modeling, sustainable energy systems, and hybrid energy solutions. Affiliation : Transilvania University of Brașov, Romania. Recent publications highlight her expertise in solar thermal collector tracking systems, hybrid energy algorithms, and mechanism design for renewable energy applications. While no formal awards or students are listed in the provided text, her work contributes to advancements in sustainable energy and mechanical engineering.

• Power Systems
• Electromechanical Systems
• Neural Networks in Power Engineering
• +۲ مورد دیگر

Shylo Serhiy Ivanovych serves as a Senior Lecturer and head of the educational department at Zaporizhzhia Polytechnic National University's Electrical Engineering Faculty, Department of Electrical Machines. Holding a Candidate of Technical Sciences degree (PhD equivalent), he has been actively contributing to academia since 2004 after completing his Master's in Electromechanics at the same institution. His research spans Power Systems Engineering , Neural Network Applications in transformer diagnostics and medical imaging, and Air Traffic Control Systems . Notable collaborations include IEEE publications on university ecosystem development and predictive modeling for power oil-filled transformers. His work demonstrates strong interdisciplinary connections between electrical engineering, artificial intelligence, and transportation safety systems. Scientific contributions include: Neural network synthesis for medical diagnostics and CAD integration Information modeling for air traffic management Renewable energy integration models High-voltage equipment analysis As an educator, he teaches advanced courses including High Voltage Electrical Devices, Electromechanical Systems Modeling, and Power Electronics, while maintaining active research through ORCID, Scopus, and Web of Science profiles. His technical expertise bridges theoretical research with industrial applications in energy systems.

Viorica Vasilacheمشاهده پروفایل

پژوهشگر

• Cultural Heritage Conservation
• Archaeological Artifact Analysis
• Materials Science
• +۲ مورد دیگر

Dr. Viorica Vasilache serves as a Scientific Researcher II at the Interdisciplinary Department of Sciences, ARHEOINVEST Center of Alexandru Ioan Cuza University (UAIC), specializing in cultural heritage conservation through advanced scientific methodologies. With over 25 years of dedicated research, she directs analytical efforts at the Laboratory for Scientific Investigation and Conservation of Cultural Heritage, employing techniques such as SEM-EDX, micro-FTIR, and derivatography to authenticate artifacts and develop preservation protocols. Her research spans cultural heritage conservation , archaeological materials analysis , and environmental science applications , with a recent focus on integrating artificial intelligence for forgery detection. Key projects include interdisciplinary studies of prehistoric pottery, authentication of artworks by Rembrandt and Magritte, and analysis of historical musical instruments, reflecting her commitment to bridging scientific rigor with cultural stewardship. Publication trends reveal growing emphasis on AI-driven authentication frameworks and sustainable conservation materials, particularly in textile dye extraction and salt-related environmental research. Vasilache has mentored 25 doctoral students (23 Romanian, 2 international) and contributed to over 20 national research initiatives, including Romania's participation in EUROINVENT innovation exhibitions. As secretary of the International Journal of Conservation Science (ISI-indexed), she advances scholarly discourse in heritage conservation while leading component projects in salt-related environmental and therapeutic research. Her laboratory maintains cutting-edge capabilities in non-invasive analysis, supporting ongoing collaborations with international institutions for artifact authentication and preservation.

Gabriela Strnadمشاهده پروفایل

دانشیار

• Materials Science and Engineering
• Materials Processing
• Nanostructured Titanium-Based Coatings
• +۳ مورد دیگر

Gabriela Strnad is an Associate Professor in the Department of Industrial Engineering and Management at George Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureş, Romania. She holds expertise in materials science and engineering, with a focus on nanostructured biomedical coatings and surface engineering. Her work includes developing titanium-based coatings for implants via anodization and PVD techniques. She has coordinated research projects like NanoBio EA, NanoSurf AL, and BioMat CA, focusing on surface modification and biomedical applications. Education: She earned a PhD in Materials Science and Engineering (2008), researching wear-resistant nanocomposite materials. Her research spans materials processing, biomedical applications, and advanced characterization methods. Research Interests: Her studies emphasize nanostructured coatings for biomedical implants, surface engineering, and materials processing. She investigates methods to enhance biocompatibility, osseointegration, and mechanical properties of materials through techniques like electrochemical anodization and PVD. Grants & Projects: As project coordinator/director, she has led grants such as PN-III-P2-2.1-PED-2016-0142 (2017–2018) and PN-III-P1-1.1-MCD-2018-0219 (2018), advancing technologies for biomedical and aluminum-based materials. She is affiliated with the Biomaterials’ Surface Engineering Laboratory ( website ). Publications: Over 73 research papers and 17 books, focusing on topics like TiO2 nanotubes, biomedical scaffold immersion, and material characterization. She serves as a reviewer for journals including Surface and Coatings Technology and Journal of Materials Science. Labs/Teams: Leads the Biomaterials’ Surface Engineering Laboratory, exploring surface modifications for biomedical applications. Her work integrates interdisciplinary approaches in materials science and engineering.

Lehel Csatóمشاهده پروفایل

استاد

• Machine Learning
• Probabilistic Robotics
• Data Analysis
• +۴ مورد دیگر

Lehel Csató is a Professor at the Faculty of Mathematics and Informatics of Babeș-Bolyai University in Cluj-Napoca, Romania. His academic journey includes a PhD from Aston University and a postdoctoral position at the Max Planck Institute for Biological Cybernetics. He specializes in Machine Learning, Probabilistic Robotics, and Nonparametric Bayesian Methods, with a focus on Gaussian Processes and their applications in data analysis and robotics. Teaching includes courses in Logic and Functional Programming (Hungarian), Numerical Modelling in Data Analysis (English), and Artificial Intelligence (Hungarian). His research emphasizes sparse Gaussian Process approximations and their use in reinforcement learning, robotics, and medical image analysis. He contributed to the development of the Sparse Online Gaussian Process toolbox. Publications span topics from deep learning architectures to optimization techniques in neural networks. He has organized the ClujUAV drone navigation competition and collaborated on interdisciplinary projects involving robotics, vision, and medical data analysis.

• Artificial Intelligence
• Machine Learning
• Information Retrieval
• +۳ مورد دیگر

Zalán Bodó is an Associate Professor at the Faculty of Mathematics and Computer Science , Babeș-Bolyai University, Cluj-Napoca, Romania. His research focuses on Artificial Intelligence, Machine Learning, Information Retrieval, Natural Language Processing, Formal Languages, and Computer Vision . He holds an Erdős number of 4 and maintains an active presence in academic networks like Google Scholar and DBLP. His work bridges theoretical and applied computer science, with contributions to malware analysis, explainable AI, and dataset compilation. He has published extensively on topics such as graph-based malware detection, automated code generation, and medical imaging applications. His office is located at Mathematicum Building (room 207), and he can be reached via zalan.bodo@ubbcluj.ro or zalan.bodo@gmail.com .

Corneliu Mandrescuمشاهده پروفایل

دانشیار

• Control Systems
• Electrical Engineering
• Automation
• +۳ مورد دیگر

Corneliu Mandrescu is an Associate Professor at the Faculty of Mechanical and Electrical Engineering of the University of Petroșani, Department of Automation, Computers, Electrical and Power Engineering. His work focuses on control systems, electrical engineering, and automation, with a strong emphasis on sensorless control, motor control, and optimization techniques. He has contributed to advancements in vector control systems, Kalman filter applications, and system stability analysis. His research interests include the modeling and simulation of control systems, particularly in mining and industrial contexts, such as coal flow analysis in longwall mining systems and electric vehicle motion control. He has also explored sensor technology, transducers, and continuous process control, reflecting his interdisciplinary approach to automation challenges. Mandrescu’s publications span from foundational studies on system identification and estimator design to applied work in electrical drive systems and induction motor control. His work often integrates theoretical models with practical implementation, addressing real-world engineering problems. While no specific grants or awards are noted, his extensive publication record highlights sustained contributions to the field. He has advised no listed students, and his professional activities, including lab affiliations or ongoing projects, are not detailed in the provided text.

Isabela Dramnescمشاهده پروفایل

دانشیار

• Automated Reasoning
• Logic
• Mathematical Theory Exploration
• +۱ مورد دیگر

Isabela Dramnesc is an Associate Professor at the West University of Timisoara , Faculty of Mathematics and Computer Science, Department of Computer Science. Her research focuses on Automated Reasoning , Logic , Mathematical Theory Exploration , and Algorithm Synthesis . EU Erasmus+ projects: ARC (2019-2022, KA203 Strategic Partnerships) and AiRobo (2023-2026, KA220 Cooperation Partnerships). Teaching: Graph Theory and Combinatorics , Automated Theorem Proving , Algorithm Synthesis , and Logic Programming at bachelor's and master's levels. Publications: Two peer-reviewed articles in the Journal of Symbolic Computation (2015, 2019) on algorithm synthesis and automated reasoning for data structures. Contact: isabela.dramnesc@e-uvt.ro

• Control Theory
• Mathematical Modeling
• Signal Processing
• +۲ مورد دیگر

Mykola Volodymyrovych Yefymenko is a Professor and Head of the Department of Computer Systems and Networks at Zaporizhzhia Polytechnic National University. He holds a Doctor of Technical Sciences degree and has been active in academia since 2004. Education: Dnipropetrovsk State University (1978), Automatic Control Systems Academic Achievements: Candidate's thesis (1999) and Doctoral dissertation (2000) on spacecraft orientation control His research interests focus on control theory of complex dynamic systems , modeling methods , and signal processing . His work addresses spacecraft orientation, including algorithms for magnetic stabilization and time-optimal spatial reversal. Recent publications emphasize mathematical models using Rodrigo-Hamilton parameters for spacecraft dynamics. Scientific Honors: Cabinet of Ministers of Ukraine Award for Innovative Technologies (2013) He teaches automatic control theory and digital signal/image processing . Contact: 41, Zhukovsky St., Zaporizhia, Ukraine; rector@zp.edu.ua .

• Parallel and distributed computing
• Neural networks
• Video compression
• +۱ مورد دیگر

Stepan Yuriyovych Skrupsky is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technology, Zaporizhzhya National Technical University (ZNTU). He graduated with honors in 2010 as a Master in Computer Systems and Networks and defended his PhD thesis on "Models and methods of video information compression in distributed computer systems" in 2013 at the Institute of Modeling Problems in Energy. His research focuses on parallel and distributed computing , neural networks , video compression , and artificial intelligence systems . He teaches disciplines such as Computer Architecture, Mobile Application Architecture, and Cloud Technologies. Education : Master in Computer Systems and Networks, ZNTU (2010) PhD Thesis : "Models and methods of video information compression in distributed computer systems" (2013) His scientific works explore parallel computing architectures for AI applications, including neuro-fuzzy models , Internet of Things infrastructure , and rule extraction methods . Publications span topics like big data reduction , medical diagnostics , and software-defined networks . He uses computational intelligence and stochastic optimization for distributed system design. Key trends in his research include parallelization of AI algorithms , resource-efficient distributed systems , and cross-domain applications from medicine to IoT. His articles appear in venues such as Radio Electronics, Computer Science, Control and Automatic Control and Computer Sciences .

• Materials Science
• Tribology
• Welding Engineering
• +۳ مورد دیگر

Serhiy Mykolayovych Popov is a Professor at the Department of Physical Materials Science within the Engineering-Physical Faculty at Zaporizhzhia Polytechnic National University. With over 140 scientific works including 4 patents, 11 certificates, 3 monographs, and 4 educational manuals, he specializes in wear-resistant welded alloy coatings, tribosystem optimization, and social philosophy. Doctor of Philosophy (Social Philosophy, 2012, National Pedagogical University named after M.P. Dragomanov) Candidate of Sciences (Materials Science, 1991, Kharkiv Automobile and Road Institute) Mechanical Engineer (Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar, 1985) His research focuses on multifactor tribosystems , combining systems approach with mathematical optimization of chemical, structural, and mechanical properties of materials. Recent works include abrasive wear analysis of high-chromium cast irons, electroslag process efficiency improvements, and mathematical modeling of welded deposit layers. Scientific recognitions include the USSR Inventor Medal and 'Distinguished Educator of Ukraine' honor. He supervises student research and has received multiple certificates from Ukrainian Ministry of Education for his mentoring excellence.

• Digital systems design on programmable logic chips
• FPGA-based computing acceleration
• Control automata optimization
• +۳ مورد دیگر

Dr. Irina Zeleneva is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technologies, Zaporizhzhia Polytechnic National University. With a Ph.D. in Computers, Systems, and Networks, she has 15+ years of academic experience since joining the university in 2003. Specializes in FPGA-based digital system design Focuses on hardware acceleration and reliability optimization Teaches advanced topics in microprocessor architecture Her research includes: Development of energy-efficient FPGA systems Hardware-software co-design Neural network text classification accelerators Reliable embedded control architectures Recent publications analyze FPGA implementation of floating-point multipliers, finite state machines with elementary state chains, and AI-enhanced educational frameworks . Her work frequently appears in international conferences like IDAACS and PIC S&T, with multiple Scopus/WoS indexed articles. Dr. Zeleneva's contributions: Co-author of two monographs on FPGA acceleration PI in multiple university research projects Active participant in annual "Week of Science" conferences