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Andang Sunarto is an Associate Professor affiliated with the State Islamic Institute (IAIN) Bengkulu, Indonesia and the Lepage Research Institute, Slovakia . His work bridges Numerical Analysis , Computational Mathematics , and Algorithm Design with applications in Robotics , Image Processing , and Sharia-Compliant Systems . Research Focus: Fractional Calculus, Nonlinear PDEs, GPU-Accelerated Algorithms Collaborations: International institutions including Union of Czech Mathematicians and Physicists and University of Prešov His recent publications (2021–2025) emphasize Iterative Methods for solving Time-Fractional Diffusion Equations and Porous Medium Models . He also explores Digital Islamic Education and Halal Tourism Development . Despite no listed awards, his work spans diverse domains like Mobile Banking Evaluation , Environmental Pollution Analysis , and Ethnobotanical Applications . Andang actively designs EdTech tools (e.g., Wordwall-based modules) and contributes to computational methods in Climate Modeling and Nonlinear Diffusion .

• Numerical Analysis
• Algorithm Design
• Computational Mathematics
• +1 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

• Mobile systems and applications
• Dynamic power management
• Dynamic thermal management
• +4 more

Dr. Libal András is an Associate Professor at the Faculty of Mathematics and Computer Science of Babes-Bolyai University , Romania. His research spans soft condensed matter physics , active matter systems , and artificial spin ice , with a focus on computational modeling and GPU/CPU optimization. He collaborates with institutions like Los Alamos National Laboratory and has contributed seminal work on colloidal spin ice. Alma Mater: Bathory Istvan High School (Cluj), Babes-Bolyai University (BSc), University of Notre Dame (PhD) Past affiliations: Argonne National Lab, Los Alamos National Lab, Johns Hopkins University, Universiteit Antwerpen Research interests include: Computer simulation of soft condensed matter and active matter systems Topological defects in spin ice and granular materials Development of Arduino-based microcontroller applications and IoT systems GPU-accelerated simulation methods Publications focus on vortex dynamics , jamming transitions , colloidal crystals , and active matter across physics, materials science, and computational epidemiology. No scientific awards are explicitly mentioned in available sources.

• Computer Simulation
• Soft Condensed Matter Physics
• Active Matter
• +5 more

Rareș Florin Boian is an Associate Professor at the Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University. He teaches courses such as Algorithms, Models and Concepts in Distributed Systems , GPU and Distributed Architecture Computing , Operating Systems , and Virtual Reality . His research interests align with distributed systems, parallel computing, and operating system design.

• Distributed Systems
• GPU Computing
• Virtual Reality
• +3 more

Bogdan Mursa serves as a Lecturer in the Department of Computer Science at the Faculty of Mathematics and Computer Science, Babeş-Bolyai University in Cluj-Napoca, Romania. His academic profile centers on complex networks research with specialized expertise in network motifs, evidenced through extensive publications spanning theoretical foundations to biological applications. His primary research focuses on network motifs as fundamental building blocks for understanding complex systems, with investigations into motif-topology correlations, dynamic flow across network layers, and efficient detection methodologies. This work integrates graph theory, machine learning, and high-performance computing to address challenges in community detection, node selection, and multi-scale network analysis. His research bridges theoretical network science with practical applications in biological systems and rehabilitation technology. Analysis of his publication trajectory (2014-2024) reveals evolving methodological sophistication: from early biomechanical applications (tongue tracking for stroke rehabilitation) to advanced motif-centric frameworks. Recent work emphasizes evolutionary algorithms for network generation (2024), automated model training techniques (2023), and ant colony social behavior modeling (2022), demonstrating consistent innovation in motif-based network analysis while expanding into interdisciplinary domains. No scientific awards were documented in the provided materials. Available information does not specify graduate student supervision, research grants, or collaborative projects. His current work appears centered on algorithmic development for network motif applications across computational and biological domains, with emerging exploration of automated techniques in model training.

• Complex Networks
• Network Motifs
• Community Detection
• +5 more

Cristina MARINESCU is an Associate Professor at the Politehnica University of Timisoara, Faculty of Automation and Computer Science. She holds a Dr. Eng. degree in Software Engineering from the same institution. Her research focuses on software quality assessment, empirical software engineering, and object-oriented design. She has contributed to projects like Methods and Tools for Continuous Quality Assurance in Complex Software Systems and Quality Assurance for Distributed Software Systems . Her academic roles include teaching Object-Oriented Programming and Algorithms for Parallel Computing labs. She has been involved in research groups like LOOSE and eAustria Institute Timisoara. Notably, she received the Best Reviewer Award at SCAM 2011. Her work spans publications in conferences like IEEE SCAM, ICSM, and WCRE, addressing topics from design flaws detection to cloud-based quality assessment. Her projects emphasize software evolution, design flaw mitigation, and distributed systems analysis. She has collaborated internationally, including with Swiss teams under the NOREX project. Her teaching and research activities reflect a commitment to advancing software engineering practices and education.

• Software Engineering
• Empirical Software Engineering
• Object-Oriented Design
• +3 more

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
• Virtual Reality
• Medical Informatics
• +6 more

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.

• Computer Science
• Medical Imaging
• Virtual Reality
• +4 more

Alina Itu is an Associate Professor at the Department of Automation and Information Technology, Faculty of Electrical Engineering and Computer Science, Transilvania University of Brașov, Romania. Her academic work spans artificial intelligence, cloud computing, and industrial process optimization. Research Interests Artificial intelligence Cloud computing Constraint satisfaction problems Optimization of industrial processes Publications Trends Alina’s research focuses on service-oriented architectures, GPU acceleration, and constraint satisfaction frameworks. Recent work applies these technologies to food processing, geodesic monitoring, and biomedical computations, highlighting interdisciplinary integration of AI and industrial engineering. Publications 2019: Industrial Service Oriented Architecture in milk processing 2019: Enterprise Service Bus for geodesic monitoring 2017: GPU acceleration in medical hemodynamics 2014: Service-oriented architecture for industrial optimization

• Artificial intelligence
• Cloud computing
• Constraint satisfaction problems
• +1 more

Adrian Marius DEACONU is an Associate Professor at the Department of Mathematics and Computer Science, Faculty of Mathematics and Computer Science, University of Brașov. His research focuses on combinatorial optimization, network flow analysis, inverse problems in networks, graph theory, and algorithm design with applications in transportation networks, photovoltaic systems, disaster logistics, and computational epidemiology. Recent work includes developing GPU-accelerated algorithms for maximum flow problems, fuzzy optimization approaches for disaster relief logistics, and parameter estimation methods for photovoltaic cells. He has contributed to theoretical advancements in inverse flow problems and pathfinding algorithms under constraints such as network losses and adversarial disruptions. His publications span diverse applications including vaccination efficacy modeling, robust vehicle routing under attacks, and geomagnetic map construction using inverse methods. He maintains an active research agenda in network optimization with a focus on bridging theoretical mathematics and practical engineering solutions.

• Combinatorial optimization
• Network flow analysis
• Inverse problems in networks
• +5 more

Dan Marius Dobrea is an Assistant Professor at the Technical University of Iasi, specializing in interdisciplinary research at the intersection of Virtual Reality, Medical Electronics, and intelligent systems. His work bridges advanced computational methods with practical applications in transportation monitoring, sensor design, and brain-computer interfaces. University: Technical University of Iasi Academic Rank: Assistant Professor Research interests span UAV systems, deep learning algorithms, and neuro-fuzzy networks. Recent publications highlight real-time tracking solutions for drones, pothole detection in road infrastructure, and sensor-based gesture recognition systems. His focus on lightweight AI architectures for embedded platforms demonstrates a commitment to resource-efficient technologies. Article trends reveal expertise in: Unmanned Aerial Vehicles (UAVs) Real-time computer vision Deep learning for infrastructure monitoring Human-computer interaction via inertial sensors Signal processing for biomedical applications GPU-accelerated algorithm optimization

• Virtual Reality
• Medical Electronics
• Pattern Recognition
• +5 more