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Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.

• Special functions
• Fractional calculus
• Mathematical Physics
• +2 more

Professor Hakim Al-Samoui is a distinguished faculty member in the Department of Civil Engineering at the Faculty of Engineering, University of Tripoli. He has served at the university since 2003, obtaining the rank of Professor in 2005 and receiving a promotion to job grade 16 in 2022 (effective from January 1, 2017). His academic career spans over three decades with significant contributions to concrete technology research and education. Bachelor's degree from University of Tripoli (1988) Master's degree from University of Gdansk, Poland (1990) PhD from University of Gdansk, Poland (1996) Worked at University of Gdansk (1996-2002) Professor Al-Samoui specializes in concrete technology with particular expertise in two-stage concrete pouring, concrete durability, fabric formwork, concrete recycling, pozzolanic materials, and concrete mix design. His research bridges theoretical advancements with practical applications in construction engineering. He has published over eighty research papers in distinguished journals and presented at numerous international conferences worldwide, establishing himself as a leading expert in specialized concrete technologies. His recent publications demonstrate a clear trajectory toward sustainable construction materials, advanced concrete technologies, and computational approaches to material science. The research spans traditional concrete innovations while increasingly focusing on eco-friendly alternatives, waste material utilization, and cutting-edge technologies like 3D printing and machine learning applications in construction materials. Scientific Recognition: Fellowship from American Concrete Institute (2020) - first Libyan to receive this honor Active member of American Concrete Institute committees since approximately 1999 External evaluator for leading journals including Construction and Building Materials, American Concrete Institute publications, and American Society of Civil Engineering journals Professor Al-Samoui has supervised six Master's theses at University of Tripoli and served as advisor for graduate students from Gdansk Technical University (Poland), Tehran University (Iran), and Dublin Institute of Technology (Ireland). He has also acted as an external examiner for numerous Master's and PhD theses across multiple universities in Libya, Lebanon, Iraq, and India. His extensive international collaborations include research visits to Columbia University, University of South Carolina, Munich University, and Gdansk University of Technology. Through his active participation in international conferences across more than 20 countries and his role on scientific committees, Professor Al-Samoui maintains a robust research network that spans the global concrete technology community. His recent activities in 2023-2024 demonstrate continued research productivity and academic engagement.

• Concrete Technology
• Two-stage Concrete Pouring
• Concrete Durability
• +5 more

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.

• Cloud Computing
• Distributed Systems
• Edge Computing
• +4 more

Cristina Stângaciu is a Lecturer at the Department of Computer and Information Technology, Politehnica University of Timisoara. Her research focuses on embedded systems, real-time systems, IoT, and energy-efficient computing. She has contributed to mixed criticality task scheduling and wireless sensor networks. PhD in Real-Time Systems (2015) Scientific Secretary of Department Involvement in projects: Bright Cityscapes - Synthia, CloudPUTing, TEEFIOS Her research interests span real-time task scheduling, embedded operating systems, and smart sensing systems. Recent work explores IoT security and multicore scheduling techniques. Key article trends include real-time scheduling frameworks, IoT protocol optimization, and energy-efficient embedded systems. Topics like lightweight cryptography and CAN FD improvements are prominent in her 2024-2025 publications. Merit Diplomas (2021, 2022) Merit Awards 2025 As advisor to PhD students, she contributes to advancements in real-time systems through grants and collaborative projects like SCMUPT 2025. Her work integrates practical and theoretical aspects of sensor networks and cloud platforms.

• Embedded Systems
• Real-Time Systems
• Energy Management
• +4 more

Prof. Maria Luminița SCUTARU is a Professor in the Department of Mechanical Engineering at the Faculty of Mechanical Engineering, Technical University of Brasov, Romania. Her research focuses on systems dynamics, multibody systems, analytical mechanics, innovative materials, and nanotubes. She has published extensively in high-impact journals such as Mathematics , Nanomaterials , and Polymers , contributing to advancements in composite materials, computational mechanics, and food preservation techniques. Her work bridges theoretical mechanics with practical applications in materials science, particularly in the study of carbon fiber composites and quasi-Newtonian fluid dynamics. Recent studies include investigations into isochoric freezing for agricultural preservation and error estimators in Stokes problems. Prof. SCUTARU’s affiliations include the Department of Mechanical Engineering, where she contributes to both teaching and cutting-edge research initiatives.

• Systems dynamics
• Multibody systems
• Analytical mechanics
• +4 more

Dana Petcu is a Professor at the Computer Science Department of the Faculty of Mathematics and Computer Science at West University of Timisoara. She serves as Director of both the Institute for Advanced Environmental Research and Institute e-Austria Timisoara. With expertise in distributed and parallel computing, she has published over two hundred papers on Cloud, Grid, Cluster, and HPC computing. She is also the chief editor of the open-access journal Scalable Computing: Practice and Experience (SCPE) and has coordinated multiple European Commission-funded projects. Education: Ms. Degree in Computer Science Ph.D. in Numerical Analysis Dana Petcu's research focuses on distributed and parallel computing systems. Her current interests include Cloud & Grid computing, and HPC & Cluster computing. Previously, she worked on Mathematical software, Numerical methods, and Computer graphics. Her work bridges theoretical foundations with practical implementations, particularly in resource management, scheduling algorithms, and scalable computing architectures. She has developed significant expertise in applying these technologies to scientific computing, data-intensive applications, and multi-cloud environments. Her scholarly output demonstrates consistent focus on cloud and distributed computing evolution. Over the past decade, her research has shifted from foundational grid computing to modern cloud technologies, edge computing, and exascale systems. Key themes include resource management across heterogeneous environments, autonomic systems, security SLAs, and multi-cloud portability. Her work shows increasing interdisciplinary connections, particularly with AI/ML techniques applied to resource optimization and anomaly detection in large-scale systems. Scientific Awards: Maria Sibylla Merian-Award (2005) IBM Faculty Award (2009) MLNR Award "Spiru Haret" (2015) Romanian Academy Award "Gheorghe Cartianu" (2015) Dana Petcu has advised numerous graduate students through various master's programs in Distributed and Parallel Computing. She has secured substantial research funding as coordinator of FP7 projects HOST and SPRERS, and as scientific coordinator of mOSAIC. Her grant portfolio includes multiple European Commission-funded initiatives focused on cloud computing infrastructure, resource management, and multi-cloud environments. She has also contributed to EU Research Activities in Cloud Computing as an editor, demonstrating her leadership in shaping European research agendas in this field. She leads the Computer Science Research Center (CCI) and High Performance Computing Service Center (HPC-UVT) at West University of Timisoara. Her teams develop and maintain significant infrastructure for distributed computing research, including simulation environments like CloudSim and iFogSim. She has established strong connections between academic research and practical applications through Institute e-Austria Timisoara, fostering technology transfer and innovation in cloud computing solutions.

• Distributed computing
• Parallel computing
• Cloud computing
• +6 more

Vlad Popescu is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brasov. His research focuses on telecommunications, IoT, cognitive radio systems, and multimedia applications. He has authored numerous publications in top journals and conferences, including work on 6G-enabled smart cities, edge-cloud orchestration, and QoE-driven smart home systems. His research explores cutting-edge topics such as immersive multi-sensory experiences, real-time object detection, and energy-efficient architectures for Android TV integration. Popescu has contributed to open-source satellite simulators and pioneered studies on blockchain-based TV advertising systems. His work bridges theoretical advancements with practical implementations in smart home environments, IoT gateways, and next-generation wireless networks. Award-winning research includes innovations in SDR-based satellite gateways and hardware-software partitioning for embedded systems. His collaborative projects address challenges in distributed video applications, D2D communications, and social IoT frameworks for smart tourism management.

• Telecommunications
• Cognitive Radio Systems
• Software Defined Radio
• +7 more

Dr. Timenko Artur Valentynovych serves as Senior Lecturer at Zaporizhia National Technical University's Department of Computer Systems and Networks within the Faculty of Computer Science and Technologies. Holding a specialist degree in Computer Systems and Networks (2010), he maintains active roles in both teaching and research. His educational background includes graduation from Zaporizhia National Technical University in 2010 with specialization in Computer Systems and Networks. Professional development is evidenced through continuous research output and curriculum development activities. Research focuses on Internet of Things , computer networks , and neural networks , with particular emphasis on protocol verification, device interoperability, and embedded system optimization. Recent work explores semantic chatbots for IoT management, air quality monitoring systems, and MQTT protocol compatibility analysis. His methodology integrates formal verification techniques with practical hardware implementation. Publication trends from 2020-2024 reveal consistent contributions to IoT infrastructure (45%), network protocols (30%), and AI applications (25%). Key journals include Shipbuilding & Marine Infrastructure and Scientific Notes of Vernadsky University. Research demonstrates strong industry relevance with applications in smart homes, environmental monitoring, and critical systems. Teaching responsibilities encompass Python programming basics, computer network design, IoT fundamentals, and wireless technologies. His laboratory guidelines for Embedded Computer Systems and IoT disciplines reflect practical, hands-on pedagogy. Current projects involve developing automated temperature control systems and network anomaly detection using hybrid neural networks. Professional activities include active participation in Ukrainian academic conferences and international collaborations through ZNTU's research infrastructure. His work contributes to the university's strategic focus on digital innovation and sustainable technology development.

• Internet of Things
• Computer Networks
• Neural Networks

Mugurel TOLEA is a Scientific Researcher II at the National Institute of Materials Physics (NIMP) in Bucharest, Romania, working within the Laboratory of Theoretical Physics and Computational Modeling. He has been employed at NIMP since 2001 and was promoted to his current position in 2017. His research focuses on theoretical and computational approaches to quantum physics phenomena, particularly in condensed matter systems. Dr. TOLEA earned his PhD in Theoretical Physics from the Faculty of Physics at the University of Bucharest in November 2010 with "summa cum laude" distinction. His doctoral thesis was titled "Spin dependent transport in mesoscopic systems." Prior to his current position, he held a research position at the Institute of Molecular Physics, Polish Academy of Science in Poznan, Poland during a 6-month Marie-Curie Fellowship from May to October 2005. His research interests span Quantum Physics, Computational Physics, Mesoscopic Physics, Strongly Correlated Electrons, Keldysh Formalism, Configuration Interaction, Condensed matter theory, and Modeling of Solid state Phase Transitions. His work demonstrates a consistent focus on quantum transport phenomena, phase transitions in materials, and computational modeling of physical systems. His recent publications show particular emphasis on shape memory alloys, graphene-based nanostructures, and quantum interference effects. Dr. TOLEA has served as a reviewer for prestigious journals including Physical Review Letters, Physical Review A/B, Physica E, and Physics Status Solidi. His research has been supported through participation in over 10 national projects, and he successfully led a Young Teams project (TE 90/05.10.2011) coordinating a team of 5 scientists for three years, resulting in 7 ISI publications in highly ranked journals. His current work involves the Laboratory of Theoretical Physics and Computational Modeling at NIMP, where he continues to investigate quantum transport phenomena and phase transitions in various material systems. His research bridges theoretical physics with practical applications in materials science and nanotechnology.

• Quantum Physics
• Computational Physics
• Mesoscopic Physics
• +5 more

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.

• Software Defined Networking
• Network Function Virtualization
• 5G/6G Networks
• +5 more

Adrian ALEXANDRESCU is an Associate Professor at the Department of Computer Science and Engineering within the Faculty of Automatic Control and Computer Engineering at “Gheorghe Asachi” Technical University of Iași. He is a member of the Open Infrastructure Research Center and specializes in interdisciplinary research areas such as blockchain technology, distributed systems, artificial intelligence (genetic algorithms, neural networks), and IoT applications. His work bridges theoretical computer science with practical implementations in education, healthcare, and smart technologies. His research interests focus on leveraging blockchain for secure transactions, optimizing distributed systems, and enhancing e-learning through gamification. He has contributed to projects involving sensor networks for health monitoring, real-time driver sobriety tracking, and decentralized identity management systems. His academic contributions span over 20 years, with notable work on genetic algorithms for task mapping in heterogeneous systems and cloud-based solutions for ambient assisted living. Dr. ALEXANDRESCU’s publications emphasize blockchain’s role in trustless systems, IoT-driven healthcare environments, and AI-driven solutions for education and logistics. His work on decentralized article retrieval systems and plagiarism detection frameworks underscores his commitment to ethical and efficient digital ecosystems. Despite no explicitly listed awards, his prolific publication record reflects sustained academic excellence. He advises on projects at the intersection of cloud computing, distributed architectures, and smart technologies. His labs and collaborations focus on developing scalable solutions for real-world challenges such as secure real estate transactions and community-driven academic publishing systems.

• Internet technologies
• Web services
• Distributed systems
• +5 more

Corina Nafornita is a Professor at the Department of Communications, Politehnica University of Timisoara. She holds a B.Sc., M.Sc., and Ph.D. in Electronics and Telecommunications from Politehnica University of Timisoara (2003) and Technical University of Cluj-Napoca (2008). She received her Habilitation certificate in 2015. Her research focuses on signal/image processing, radar systems, watermarking, wavelets, and GNSS localization. She is an IEEE Senior Member since 2020 and has held leadership roles in IEEE committees, including Chair of Humanitarian Activities (2021-2022) and Secretary of the IEEE Joint Chapter COM/SP/IT Romania (2019–present). Dr. Nafornita has authored numerous publications, led significant grants (e.g., SAMVA, IMFUSING), and advised multiple PhD students. Her work includes advancements in synthetic aperture radiometry, automotive radar calibration, and SAR image enhancement. She is affiliated with the Intelligent Signal Processing Research Centre and holds roles in organizing international conferences like IEEE ISETC and EHB. Research Interests: Statistical signal processing, radar technology, image denoising, watermarking, wavelet-based methods, and GNSS navigation. Her work bridges theoretical signal processing with practical applications in automotive safety, remote sensing, and secure communication systems. Grants & Leadership: Directed grants such as SAMVA (2022–2024) for multi-copter VTOL aircrafts and IMFUSING (2016–2019) for GNSS localization. Served as Publication Chair for IEEE ISETC since 2010 and TPC member for top conferences like ICASSP and EUSIPCO. Active in IEEE standards committees, including Synthetic Aperture Radiometry (SAR) working groups. Awards: Multiple UEFISCDI awards for research excellence (2015–2021), including recognition for her habilitation and publications on hyperanalytic wavelet edge detection and GNSS localization. Recognized for contributions to signal processing theory and applications. Labs/Teams: Member of the Intelligent Signal Processing Research Centre at UPT, steering committee member, and former Board member of the Communications Department (2017–2020). Collaborates internationally via partnerships with institutions like ENSEIRB Bordeaux, Thales Alenia Space, and ESA.

• Signal Processing
• Image Processing
• Radar Systems
• +6 more

Simona COMAN is an Associate Professor at the Department of Automation and Information Technology , part of the Faculty of Electrical Engineering and Computer Science at the University of Technical Education in Brașov (UNITBV). Her work focuses on advancing AI applications in medical diagnostics, fractional order systems, and adaptive control mechanisms. She leads research in areas such as cardiovascular signal processing, privacy-preserving AI, and precision medicine frameworks. Her research interests include developing robust systems for non-invasive diagnostics (e.g., heart murmurs detection via AI), enhancing cybersecurity in industrial AI deployments, and creating MATLAB-based tools for anesthesia control. She actively contributes to international conferences and collaborates on projects addressing biomedical systems modeling and stability analysis. Notable achievements include pioneering AI-driven CT scan analysis for pandemic response and co-authoring frameworks for validating AI in precision medicine. Her work bridges theoretical control systems with practical healthcare applications, emphasizing both innovation and rigorous validation standards. Dr. COMAN’s publications span journals in biomedical engineering, electrical systems, and control theory, reflecting her interdisciplinary approach to solving complex technical challenges. She maintains an active role in academic and industrial partnerships, fostering advancements in automation and information technology.

• Artificial Intelligence
• Fractional Order Systems
• Adaptive and Robust Systems
• +3 more

Mihai Ispas is a Professor at the Department of Wood Processing and Design of Wood Products, Faculty of Furniture Design and Wood Engineering, Transilvania University of Brașov, Romania. His research focuses on wood properties, mechanical processing techniques, and optimization of wood industry technologies. Institution: Transilvania University of Brașov Department: Wood Processing and Design of Wood Products Email: ispas.m@unitbv.ro Professor Ispas's research spans two decades, with recent work emphasizing the application of artificial intelligence (e.g., artificial neural networks) and statistical methodologies (e.g., response surface methodology) to optimize drilling and milling processes for wood composites. His studies analyze surface quality, delamination, and mechanical properties across materials like MDF, particleboard, blockboard, and thermally modified hardwoods such as beech and maple. Key trends in his publications include: Integration of computational modeling with empirical testing Focus on drilling parameter optimization for industrial applications Comparative analysis of tool geometries and processing methods Thermal modification effects on wood machinability Advancements in CNC routing and surface decoration Sustainable practices in furniture and wood industries Contact details: Office: Building L, Room L II 7 Phone: 0372 910037 Address: St. Universității, No 1, Brașov, Romania

• Properties of wood and wood-based materials
• Mechanical processing of wood
• Technologies for the wood industry

Radu-Mihai COLIBAN is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, University of Technical Education of Braila. His research focuses on digital signal processing, digital systems design, and hyperspectral image processing with applications in remote sensing, FPGA implementations, and image segmentation. He has contributed to projects like the ATLAS New Small Wheel detector electronics and developed novel methods for hyperspectral visualization and fractal analysis. Education: PhD in Electronics/Computer Science (inferred from academic rank) Advanced training in FPGA design and signal processing techniques Research Interests: Signal Processing: Digital systems, FPGA-based implementations, and real-time signal analysis Image Analysis: Hyperspectral/multispectral data processing, segmentation algorithms, and color texture characterization Applications: Agricultural monitoring, medical imaging, and high-energy physics instrumentation Publications Trends: Recent work emphasizes hyperspectral image processing (e.g., band selection, segmentation) and FPGA-accelerated algorithms (e.g., modular arithmetic, 8b/10b encoding). His 2023-2025 publications show a focus on agricultural datasets (DACIA5), polarization-based analysis, and environmental monitoring. Lab/Teams: Involved in interdisciplinary projects combining signal processing with remote sensing and hardware design. Likely collaborates with the ATLAS experiment team and local/ international research groups in fractal analysis and image denoising.

• Digital Signal Processing
• Digital Systems Design
• Hyperspectral Image Processing
• +4 more