جست‌وجوی استاد و پژوهشگر

• Circuit Design
• Signal Processing
• Electronics
• +۵ مورد دیگر

Radu Gabriel Bozomitu is an Assistant Professor at the Department of Electronics and Telecommunications, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Iasi. His research focuses on advanced circuit design, signal processing, biomedical engineering, and assistive technologies. Key areas include VLSI design of active filters, pupil detection algorithms for eye-tracking systems, and medical sensor integration with cloud-based platforms. He has contributed to software-defined radio systems, FM transmission frameworks, and embedded hardware for telemedicine applications. Education details are not explicitly stated, but his publications indicate expertise in analog circuits, biomedical signal processing, and assistive communication systems for disabled patients. His work spans from theoretical circuit optimization (e.g., ring oscillators for ADCs) to practical implementations like gyro-mice and real-time pupil detection systems. Research highlights include developing high-accuracy neural network-based pupil detection systems, robust radiocommunication frameworks, and medical monitoring devices. His algorithms for eye-tracking and FM-based driver warning systems reflect interdisciplinary collaboration between electronics and healthcare. While no awards are listed, his extensive publication record demonstrates significant academic contributions. Bozomitu collaborates on hardware-software integration projects, such as wireless sensor networks for bioimpedance monitoring and cloud-integrated medical systems. His work bridges theoretical advancements in RF engineering with practical applications in assistive technologies and telemedicine.

Mihaela POROJANمشاهده پروفایل

مدرس

• Wood Anatomy
• Wood Properties
• Material Science
• +۴ مورد دیگر

Mihaela POROJAN is a Lecturer at the Department of Wood Processing and Design of Wood Products within the Faculty of Furniture Design and Wood Engineering at Transilvania University of Brasov. Her work focuses on wood anatomy, material properties, and sustainable utilization of wood resources. She contributes to interdisciplinary research at the intersection of forestry, material science, and conservation. Research Interests: Wood anatomy and microstructure Physical and mechanical properties of wood Thermal and chemical treatments of wood Recycling and reusing recovered wood materials Wood identification for cultural heritage conservation Development of composite wood materials Her research spans from fundamental studies on wood structure to applied projects like optimizing wood briquettes for energy use and evaluating recycled wood composites. Notable contributions include comparative analyses of oak species and innovative methods for wood porosity assessment. Advising & Grants: While specific student names aren't listed, her work suggests involvement in guiding research projects related to wood science. No grant details are provided in the text. Labs/Teams: Active in university research groups focused on wood processing and sustainable materials, though specific lab names aren't mentioned.

Mihai IVANOVICIمشاهده پروفایل

استاد

• Image Processing
• Remote Sensing
• Fractal Analysis
• +۳ مورد دیگر

Professor Mihai IVANOVICI is affiliated with the University of Transilvania in Brasov, Romania, serving in the Department of Electronic and Computers within the Faculty of Electrical Engineering and Computer Science . His research focuses on image processing, remote sensing, fractal analysis, and texture characterization , with applications in agriculture, biomedical engineering, and space technology. He leads projects integrating artificial intelligence into FPGA-based systems for cosmic radiation sensing and agricultural monitoring. Notable contributions include the DACIA5 dataset for crop identification and studies on vegetation indices using hyperspectral data. His work bridges theoretical analysis with practical implementations in domains like precision agriculture and satellite technology. Research Highlights: Developed fractal analysis models for soil roughness estimation and image segmentation Designed hardware accelerators for AI applications in gaming and space systems Explored EEG-based brain signal complexity linked to visual stimuli Awards: No awards explicitly listed in the provided texts. Grants & Collaboration: Active in EU-funded educational initiatives like InnEO’Space PhD for training young Earth Observation researchers. Collaborates with institutions on projects like the ATLAS New Small Wheel read-out controller ASIC. Contact: Located at Str. Institutului 10 (Corp L3) and Str. Politehnicii 1 (Corp N) in Brașov.

Șerban OPRIȘESCUمشاهده پروفایل

مدرس

• Color and Multi-/Hyper-Spectral Image Processing
• Digital Signal Processing
• Web Programming
• +۳ مورد دیگر

Șerban OPRIȘESCU is a Lecturer at the Department of Electronics and Computers, part of the Faculty of Electrical Engineering and Computer Science at the Transilvania University of Brașov. His research focuses on color and multi/hyper-spectral image processing, digital signal processing, and web programming. He has contributed to advancements in hyperspectral grassland analysis, polarization-based imaging for texture segmentation, and medical imaging applications like infantile hemangioma measurement. His publications span topics from environmental remote sensing to medical diagnostics, reflecting a blend of theoretical and applied research. Key works include a 2023 study on hyperspectral image segmentation for grassland analysis and a 2021 textbook on database systems. He is affiliated with the university's Politehnicii 1 campus, located in Brașov, Romania. No scientific awards or grants are explicitly listed in the provided materials. He has not disclosed advisee students or active laboratory teams in the available information.

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 .

Romulus Valeriu Flaviu Turcuمشاهده پروفایل

دانشیار

• Nuclear Magnetic Resonance
• Materials Science
• Medical Imaging
• +۳ مورد دیگر

Dr. Romulus Valeriu Flaviu Turcu is an Associate Professor at the Department of Physics, Babeș-Bolyai University, and Director of the National Institute for Research and Development of Isotopic and Molecular Technologies (NIRD-IMT) since 2019. He holds a Ph.D. in Physics from Babeș-Bolyai University, a master’s in Material Science, and a bachelor’s in engineering. With over 17 years in academia and R&D, his interdisciplinary expertise spans Nuclear Magnetic Resonance (NMR), materials science, medical imaging, and high-pressure engineering. His research has been conducted across institutions in Europe and North America, including the Pacific Northwest National Laboratory (USA) and Los Alamos National Laboratory. He also serves as a visiting professor at the University of Rochester’s Ain Center for Entrepreneurship. Dr. Turcu’s work focuses on advanced materials, energy technologies, and innovative instrumentation, with contributions to carbon sequestration studies and biomedical applications of MRI. Key research areas include NMR methodologies for material characterization, development of nanostructured composites, and applications of machine learning in energy systems. His publications reflect a strong emphasis on interdisciplinary approaches, combining experimental physics, computational modeling, and engineering solutions. Dr. Turcu leads strategic initiatives at NIRD-IMT, advancing Romania’s technological capabilities in isotopic and molecular technologies. He has coordinated numerous R&D projects for enterprises and international collaborations, demonstrating expertise in transitioning research into practical innovations.

Corneliu Zahariaمشاهده پروفایل

مدرس

• Very Large Scale Integrated Circuits
• Microprocessor Architectures
• Artificial Intelligence
• +۴ مورد دیگر

Corneliu Zaharia is a Lecturer at the Department of Electronics and Computers , within the Faculty of Electrical Engineering and Computer Science at Transilvania University of Brașov, Romania . His research spans hardware-software co-design, embedded systems, and computer vision. Research Areas Very Large Scale Integrated Circuits Microprocessor Architectures Artificial Intelligence Mobile Platforms Patents : Zaharia has contributed to multiple invention patents, including technologies for real-time video processing, peripheral processing, and vehicle camera systems. His publications focus on optimizing hardware-software integration for edge computing and object detection.

• CAD
• IT
• Finite Element Analysis
• +۴ مورد دیگر

Cristian PISARCIUC is an Associate Professor at Transilvania University of Brasov, affiliated with the Faculty of Technological Engineering and Industrial Management (Department of Engineering and Industrial Management). His office is located in Building V, Room VI02 at Mihai Viteazul Street 5, Brașov. His research focuses on CAD and IT applications in engineering , with expertise spanning: Finite element analysis of mechanical systems Additive manufacturing and 3D printing technologies Industrial equipment optimization 3D scanning and photogrammetry methods Materials science in manufacturing contexts Recent publications (2020-2023) demonstrate consistent focus on computational engineering methods, particularly finite element analysis applications in mechanical design, additive manufacturing viability studies, and advanced 3D scanning frameworks. This body of work contributes significantly to materials science, mechanical engineering, and industrial innovation.

• Translation Studies
• Terminology
• Contrastive Analysis
• +۳ مورد دیگر

Laura Sasu is a Lecturer at the Department of Theoretical and Applied Linguistics, Faculty of Letters, Universitatea Transilvania din Brașov (UNITBV). Her academic work spans interdisciplinary research in biomaterials, biomedical engineering, and robotics, with a primary focus on translation studies, terminology, and contrastive analysis. Research Interests: Translation Studies Terminology Contrastive Analysis Article Trends (2025–2019): Laura's publications cover biomaterials for implants, electrochemical detection methods, robotic systems, and environmental/health studies. Notable subfields include drug delivery systems, bioglass composites, noise pollution, and sustainable energy solutions.

• 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.

• 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 .

Markus Seidlمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• Digital Heritage
• +۳ مورد دیگر

Markus Seidl is a Professor at the University of Applied Sciences St. Pölten where he serves as Academic Director of the Creative Computing Bachelor program. He has been active in academia since 2004 and was appointed as an FH Professor in 2011. Professor Seidl specializes in computer vision and pattern recognition with a strong focus on digital heritage applications. His research bridges technology and cultural preservation, creating interactive experiences that make historical artifacts accessible to modern audiences. He has particular expertise in developing multi-touch tabletop applications for museum settings that engage young visitors. His notable achievements include collaborative work with archaeologists on digital documentation of cave/rock art (2010-2016), for which he received the prestigious Europa Nostra Award in 2016. Currently, he leads the Media Computing Research Group and is exploring how to integrate visitors' personal devices into museum digital ecosystems. His significant award: Europa Nostra Award (2016) for digital heritage work Seidl served as Managing Director of the Institute for Creative Media Technologies from 2015 to 2020, demonstrating his leadership capabilities in academic research settings. His work represents an innovative intersection of computer science, cultural preservation, and public engagement through interactive technologies.