جست‌وجوی استاد و پژوهشگر

Mihai V. MICEAمشاهده پروفایل

استاد

• Intelligent Robotic Environments
• Energy Management and Optimization
• Embedded and Real-Time Systems
• +۵ مورد دیگر

Mihai V. Micea is a Professor and Head of the Department of Computer and Information Technology at the Politehnica University of Timisoara. He also serves as Director of the CCCTI Research Center and Coordinator of the DSPLabs. With a B.Sc., M.Sc., and Ph.D. (Cum Laude) from Politehnica University of Timisoara, he has been a faculty member since 1996. His research focuses on intelligent robotic environments, energy management, embedded systems, and real-time hardware/software systems. He has supervised 4 completed PhD theses and currently oversees multiple doctoral candidates. Micea has authored over 125 publications, 3 patents, and managed over 50 R&D projects worth €1.88M. His awards include the 'Eminent Young Researcher of Timisoara' (2006) and the IEEE Outstanding Reviewer Distinction (2017). Education: B.Sc. in Computer Engineering (Politehnica University of Timisoara, 1995) M.Sc. in Computer Engineering (Politehnica University of Timisoara, 1996) Ph.D. in Computer Engineering (Politehnica University of Timisoara, 2005) Habilitation Degree (2015) Research Interests: His work spans intelligent robotic systems, energy optimization, signal processing, and real-time embedded systems. Key areas include cyber-physical systems, sensor networks, and secure IoT communication protocols. His recent projects include RoNaQCI (Quantum Communication Infrastructure) and TEEFIOS (Time-Efficient Framework for Smart Devices). Grants & Projects: As Principal Investigator/Manager, he has led 29 projects with total funding exceeding €1.88M. Notable projects include CloudPUTing (High-Performance Cloud Platform) and MELISSEVS (Robotic-Sensor Collaboration Models). Awards & Recognition: 2006: Eminent Young Researcher of Timisoara (ANCS) 2017: IEEE T-IM Outstanding Reviewer Labs & Teams: Founder and Coordinator of DSPLabs (Digital Signal Processing Laboratories), focusing on real-time systems and smart sensing. Active in IEEE SSIT Romanian Chapter (2013–2022) and international conference organization (e.g., IEEE ROSE 2014).

• semantic technologies
• modeling
• multi-service systems
• +۳ مورد دیگر

Natalia Anatolyvna Kulikovska serves as a Senior Lecturer at the Department of Computer Systems and Networks within the Faculty of Computer Science and Technology at Zaporizhia National Technical University. She has maintained a continuous academic affiliation with the university since 2010, contributing significantly to both teaching and research initiatives in computer science and technology. Dr. Kulikovska completed her higher education at Zaporizhia National Technical University, graduating in 2010 with a Master's degree in "Specialized Computer Systems" and further specializing in "Organizational Management" in 2011. Her academic credentials are complemented by multiple scholarly identifiers including Scopus (ID: 57208667683), ResearcherID (AAE-4642-2019), Google Scholar, and ORCID (0000-0003-4691-5102). Her research expertise spans semantic technologies, modeling, multi-service systems, ontology, web services, and Service-Oriented Architecture (SOA). Dr. Kulikovska's scholarly work demonstrates a progressive evolution from theoretical foundations in distributed knowledge-based systems toward practical implementations in Internet of Things applications. Her early publications focused on semantic service structures and distributed knowledge systems, while her recent work (2022-2024) shows a pronounced shift toward practical IoT applications addressing real-world challenges in environmental monitoring, temperature control, and security protocols. Analysis of her recent publications reveals a consistent research trajectory focusing on the intersection of semantic technologies with IoT implementations. Her work addresses critical challenges in data transmission integrity, system resilience, security measures for IoT devices in fog computing environments, and the integration of Big Data analytics with distributed sensor networks. Notably, her research on chatbot applications for environmental control represents an innovative fusion of natural language processing with practical IoT solutions. As an educator, Dr. Kulikovska teaches courses in modern internet technologies, information protection, software engineering, and modern programming methods. Her teaching methodology likely integrates her research findings, providing students with current knowledge in rapidly evolving technological domains. While specific details about her advising responsibilities are not available in the provided text, her extensive publication record suggests active mentorship of students in research projects related to distributed systems and IoT technologies. Her laboratory and team affiliations are not explicitly detailed in the available information, though her research focus suggests potential involvement with university centers specializing in computer modeling, intelligent systems, and IoT development. Her work on green computing in Ukraine indicates engagement with sustainability initiatives within the technological sector.

• Computer Science
• Virtual Reality
• Medical Informatics
• +۶ مورد دیگر

Florica Moldoveanu is a Professor at the Faculty of Automatic Control and Computers, University Politehnica of Bucharest. Their research focuses on Virtual Reality (VR), Medical Informatics, and Human-Computer Interaction with a strong emphasis on healthcare applications, assistive technologies, and educational technology. Developed VR systems for phobia treatment and neuromotor rehabilitation (TRAVEE) Pioneered sensory substitution interfaces for visually impaired individuals Advanced GPU-accelerated medical imaging and 3D reconstruction techniques Contributed to SDN networking and healthcare interoperability standards Research spans VR therapy systems, machine learning for emotion/fear detection, and inclusive gaming for accessibility. Collaborations include projects on real-time medical image processing and augmented reality applications in education and healthcare. Publications emphasize interdisciplinary work combining computer science with medicine/education, with over 100+ peer-reviewed articles across journals like Sensors, IEEE Access, and Symmetry. Active in conferences such as IEEE VR, HCII, and CHI.

• 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.

Radu-Lucian LUPŞAمشاهده پروفایل

مدرس

• Image Processing
• Computer Graphics
• Graph Algorithms
• +۳ مورد دیگر

Radu-Lucian LUPŞA serves as a Lecturer at Babeş-Bolyai University's Faculty of Mathematics and Computer Science in Romania. His academic career spans over two decades with a consistent focus on computer science, particularly in image processing and graph algorithms. His teaching responsibilities include courses on Graph Algorithms and Parallel and Distributed Programming, demonstrating his expertise across theoretical and applied computer science domains. LUPŞA's research interests center around image processing, with significant contributions to compression methods, dithering algorithms, and multiresolution analysis. His work bridges theoretical computer science with practical applications in graphics and healthcare optimization. The evolution of his research shows a progression from fundamental image compression techniques in the late 1990s to more specialized applications in medical imaging and transportation logistics by the late 2000s. Analysis of his publications reveals strong expertise in computational geometry, algorithm design, and optimization problems. His research demonstrates consistent application of mathematical rigor to practical computing challenges, particularly in the areas of image representation and processing. The interdisciplinary nature of his work is evident in publications spanning computer graphics, healthcare logistics, and mathematical optimization. LUPŞA completed his PhD in 2006 with the dissertation titled Contributions to the analysis, processing and representation of images , which serves as a foundation for his subsequent research trajectory. His academic output shows a period of high productivity between 1996-2008 with publications in respected venues including IEEE conferences and academic journals. As an educator, LUPŞA has developed comprehensive teaching materials for graph algorithms, including lecture notes, practical assignments, and evaluation methods. His teaching approach emphasizes both theoretical foundations and practical implementation, as evidenced by the detailed laboratory assignments and programming tasks he has designed for students.

Liviu P. Dinuمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Information Processing
• +۲ مورد دیگر

Liviu P. Dinu is a Professor at the Faculty of Mathematics and Computer Science, University of Bucharest, with a career spanning three decades. He holds a PhD (2003) and Dr. habil (2014) in Computer Science and has served as Director of the Human Language Technologies Research Center. His work bridges computational linguistics, natural language processing, and bioinformatics. PhD: 2003, University of Bucharest (supervisor: Solomon Marcus) Dr. habil: 2014, University of Bucharest Bachelor’s: 1994, University of Bucharest His research explores computational methods for historical linguistics, including cognate identification, semantic change analysis, and proto-word reconstruction. He also investigates applications of NLP in mental health (depression/gambling detection), financial text analysis, and DNA sequence similarity. Recent work focuses on multimodal transformers, few-shot learning, and AI-generated text detection. Article trends reveal interdisciplinary work in historical linguistics , mental health informatics , and bioinformatics . He employs rank distance , ensemble methods , and deep learning frameworks across applications from semantic divergence to emotion detection in Romanian tweets. Scientific awards include the Grigore C. Moisil Prize (2007, Romanian Academy) and In Hoc Signo Vinces Prize (2005, National Research Council) . He has supervised 7 completed PhDs and mentors ongoing students at the Interdisciplinary Doctoral School (ISDS) and Computer Science Doctoral School. Current projects involve multi-agent systems for authorship attribution , algorithms for graph structure identification , and linguistic tools for historical analysis . His lab collaborates internationally on DNA sequence analysis and cross-lingual semantic laws research.

• Computing architectures
• Quantum computing
• System design and co-design
• +۶ مورد دیگر

Prof. Mihai UDRESCU-MILOSAV is a Professor at the Department of Computer and Information Technology (DCTI) within the Politehnica University of Timisoara. He holds a Dr. Habil. Eng. degree and specializes in computing architectures, quantum computing, system design, and cyber-physical systems. His research bridges emerging technologies with practical applications in sensor networks and machine learning. He has been awarded Merit Diplomas in 2023 and 2021. Research Interests: Prof. UDRESCU-MILOSAV's work focuses on advancing computing architectures, quantum systems, and real-time embedded systems. He explores system reliability, machine learning applications, and data mining techniques for complex networks. His recent projects include RoNaQCI (Romanian National Quantum Communication Infrastructure) and PollStream (agent-based opinion prediction models). Key Contributions: He has supervised multiple PhD theses and actively participates in international conferences like SACI. His articles span IoT security, autonomous systems, and real-time scheduling, demonstrating expertise in both theoretical and applied domains. He contributes to workshops on innovative audio-video solutions for data transmission and management.

Csaba Zoltán KERTÉSZمشاهده پروفایل

مدرس

• Embedded Systems
• Microcontroller Applications
• Graphical User Interfaces
• +۷ مورد دیگر

Csaba Zoltán KERTÉSZ is a Lecturer at the Department of Electronic and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brașov. His research focuses on embedded systems, microcontroller applications, graphical user interfaces, digital signal processing, and real-time operating systems. He has contributed to IoT/M2M communication, wireless sensor networks, and SDR platforms. He has also explored the use of GitHub in collaborative learning and automotive industry-supported curriculum design. Key research interests include: Embedded GUI development frameworks IoT gateway systems using SDR Real-time monitoring and control systems HbbTV architecture performance analysis His recent work (2021-2024) emphasizes: AI-driven programming assessment tools SIMD extension optimization Wireless sensor networks for water distribution Reconfigurable IoT infrastructure Publications span over 15 years, showing sustained contributions in embedded systems, telecommunications, and educational technology. No specific awards mentioned. Labs/Teams: Actively involved in the University's embedded systems and IoT research groups.

• Automating Design and Diagnosis of Information Systems
• Computer Graphics
• Web Technologies

Konstantin Nikolaevich Kasyan serves as Associate Professor at the Department of Computer Systems and Networks within the Faculty of Computer Science and Technologies at Zaporizhzhia National Technical University, where he has maintained academic activity since 1998. He graduated with honors from Zaporizhzhia Machine-Building Institute's Faculty of Electronic Engineering in 1993, specializing in Radio Engineering with qualification as Radio Engineer. His Candidate of Sciences degree (defended 1998/1999) established his expertise in diagnostic methodologies for electronic systems. His research spans three core domains: automating design and diagnosis of information systems, computer graphics methodologies, and web technologies. This interdisciplinary focus manifests in practical applications ranging from hardware diagnostics to smart home systems. His work demonstrates consistent evolution from foundational electronics reliability research in the 1990s toward contemporary IoT and computer vision applications. His publication trajectory reveals distinct chronological phases: 1990s-2000s concentrated on electro-radio diagnostics and reliability engineering; 2000s-2010s expanded into computer graphics and text recognition; while 2010s-2021 shifted toward IoT integration, smart home technologies, and machine learning applications. This progression reflects both technological advancements and his adaptability across computing subfields. Kasyan teaches modern Internet technologies, computer graphics, computer systems design, and computational methods in scientific research, directly translating his research into pedagogical practice. His academic presence is maintained through Scopus, Web of Science, Google Scholar, and ORCID profiles, indicating active scholarly engagement despite the absence of formal awards or documented grants in available records.

• Materials Science
• Welding Technology
• Mechanical Properties of Metals
• +۱ مورد دیگر

Stanislav Petrovych Berezhny is an Associate Professor at the Department of Information Security and Nanoelectronics, Faculty of Information Security and Electronic Communications, Zaporizhzhia Polytechnic University. With a Candidate of Technical Sciences degree and 50+ scientific works (including 3 textbooks), his research focuses on enhancing mechanical properties of weld metals and surface modification techniques. Education: Mechanical Engineer from Zaporizhzhia Machine-Building Institute (1989), specialty 'Equipment and Technologies of Welding Production' His work involves electrode coating optimization for improved fatigue resistance in welds, plasma-pulse surface modification of steels, and inoculation methods in electroslag remelting. Scientific contributions include 50+ publications and participation in international conferences like PolyWeld-2016. Scientific Awards: Honorary Certificate of the Zaporizhzhia City Council Dr. Berezhny holds ORCID 0000-0001-6835-4022 and Scopus ID 6504376996. He teaches 'Descriptive Geometry' and 'Engineering and Computer Graphics' and has been active at the university since 1988.

• Engineering Graphics
• Descriptive Geometry
• Architectural Design
• +۲ مورد دیگر

Svitlana Anatoliivna Bovkun is a Senior Lecturer at the Department of Integrated Technologies of Welding and Modeling of Structures within the Engineering Faculty of Zaporizhzhia Polytechnic National University. With academic activities since 2005, she specializes in engineering graphics and descriptive geometry, contributing to educational materials and interdisciplinary research at the intersection of design, mathematics, and technical visualization. Education: Electrical Engineer from V.Ya. Chubar Mass Media (1987) Her research focuses on geometric principles in technical representation, including linear perspective techniques and spatial modeling. She has authored textbooks and conference papers exploring dimensional constraints in manufacturing, geometric illusions, and biomimetic design applications. Scientific Activities: Though no formal awards are listed, her work spans 15+ publications, including two major textbooks. She actively participates in the university’s Science Week conferences, presenting research on geometric forms in architecture and bionics in design. Languages: English (with dictionary assistance) Contact: Room 341, 64 Zhukovsky St., Zaporizhzhia, Ukraine Phone: +380(61)769-82-60

• Engineering Graphics
• Computer-Aided Design
• Mechanical Engineering
• +۳ مورد دیگر

Marianna Vasylivna Skorobogata is a Senior Lecturer at Zaporizhzhia Polytechnic National University, specializing in the Department of ITZ and MK. She has been active in her academic role since 2004, focusing on engineering graphics and computer-aided design education. Her work emphasizes pedagogical methods for student engagement and technical visualization. Position: Senior Lecturer Department: ITZ and MK University: Zaporizhzhia Polytechnic National University Her research interests span: Engineering Graphics Computer-Aided Design Mechanical Engineering Propulsion Systems Thermodynamics Manufacturing Technology Scientific publications reveal expertise in propulsion theory, thermodynamic cycles, and dimensioning techniques in technical drawings. Conference participation highlights her focus on pedagogical innovation and student self-study methodologies. She holds an ORCID: 0000-0002-3296-5515 and maintains a Google Scholar profile. Her educational background includes a mechanical engineering degree from V.Ya. Chubar Mass Media (1990), with specialization in Metal-cutting machines and tools.

• Mechanical Engineering
• Materials Science
• Engineering Graphics
• +۳ مورد دیگر

Olena Borysivna Kornienko is a Senior Lecturer at the Department of ITZ and MK (Industrial Technologies and Materials Science?) at Zaporizhzhia Polytechnic National University. With a career spanning over 30 years since 1996, her work bridges technical education and innovative teaching methodologies. Specialist in Descriptive Geometry and Engineering & Computer Graphics Conducts research at the intersection of Materials Science , Thermodynamics , and Educational Technology Developed interactive whiteboard applications for engineering education Education : Bachelor of Science in Materials Science in Mechanical Engineering (ZNTU, 1996) Research Trends : Focuses on integrating digital tools into engineering pedagogy while contributing to propulsion theory and sustainable design. Her 2016-2022 publications span thermodynamic modeling , jet engine efficiency , and eco-conscious design . Conference Participation : 2022: Presented on eco-style in design 2020: Explored test control systems in education 2018: Demonstrated interactive whiteboard implementation in engineering curricula Professional Development : Completed a 6-credit internship (April-June 2023) on metallurgical technologies and innovative software development for foundry production.

Shalomeev Vadim Anatoliyovychمشاهده پروفایل

استاد

• Materials Science
• Metallurgy
• Magnesium Alloys
• +۳ مورد دیگر

Vadim Anatoliyovych Shalomeev is Doctor of Technical Sciences and Professor who serves as Vice-Rector for Research at Zaporizhzhia Polytechnic University. With a career spanning since 1984, he specializes in magnesium alloys, particularly their development for both aircraft engine manufacturing and medical applications (specifically biodegradable implants for osteosynthesis). Professor Shalomeev's research focuses on the development and research of magnesium alloys for aircraft engine manufacturing and medicine. His work bridges materials science, metallurgy, and biomedical engineering, with particular emphasis on improving the properties of magnesium alloys through various alloying techniques, processing methods, and surface treatments. His research has significant applications in demanding fields like aerospace engineering and medical implant technology. Analysis of his recent publications reveals a strong focus on biodegradable magnesium alloys for medical implants, with particular attention to alloying elements (silver, gold, noble metals), microstructure characterization, corrosion resistance, and mechanical properties. His work also extends to steel alloys and resource-saving technologies in metallurgy. Professor Shalomeev has contributed to numerous patents related to magnesium alloys and has published extensively in journals covering materials science, metallurgy, and biomedical engineering. His research has practical applications in both the medical field (osteosynthesis implants) and industrial sectors (aerospace, mining). In addition to his research responsibilities, Professor Shalomeev teaches Descriptive geometry, engineering and computer graphics, contributing to the education of future engineers at Zaporizhzhia Polytechnic University.

• Image Processing
• Computer Graphics
• Database Systems
• +۳ مورد دیگر

Associate Professor Dan Laurentiu Lacrămă is a faculty member at Tibiscus University of Timisoara with active research and teaching commitments. He previously served as President of the University Senate from 2012 to 2018, demonstrating significant institutional leadership. His educational qualifications include a PhD in Electronics (1999) and a graduate degree from Politehnica University of Timisoara (1987). Dr. Lacrămă's research spans interdisciplinary technical domains: Image Processing Computer Graphics Database Systems Object-Oriented Programming Advanced Multimedia Applications Internet and Intranet Technologies His scholarly output comprises 52 scientific articles and 7 research-design contracts, reflecting consistent contributions to computational sciences and engineering education. Recognition: Medal 'Merit for Education' 3rd class (2004) He has developed and taught 6 university courses including Image Processing, Computer Graphics, and Object-Oriented Databases. His administrative tenure as Senate President underscores dual expertise in academic governance and technical instruction within Timisoara's higher education ecosystem.