جست‌وجوی استاد و پژوهشگر

• Special functions
• Fractional calculus
• Mathematical Physics
• +۲ مورد دیگر

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.

• Numerical Analysis
• Algorithm Design
• Computational Mathematics
• +۱ مورد دیگر

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 .

Daniela Margareta Chioreanمشاهده پروفایل

استاد

• Graphic Design
• Visual Communication
• Intellectual Property Law
• +۳ مورد دیگر

Daniela Margareta Chiorean serves as University Professor in the Graphics Department at the University of Art and Design Cluj-Napoca, where she has held academic positions since 2000 and currently serves as Prorector responsible for quality assurance (2023-2024). She previously served as Dean of the Faculty of Plastic Arts (2012-2015) and Department Director for Graphics (2015-2023). Concurrently, she maintains an active legal practice as an attorney specializing in civil law and intellectual property at the Cluj Bar Association since 2007. Her educational background includes a PhD in Visual Arts (2007) from UAD Cluj-Napoca with thesis 'Man - Media. Traditional and new media in graphics,' a Master's in Civil Law (2005-2007), Law degree (2001-2005), and dual Master's degrees in Visual Arts (2001-2003). She completed specialized training in intellectual property at WIPO (2002) and cultural management/multimedia in Germany (2002-2003). Chiorean's research bridges graphic design, digital media, and intellectual property law, examining how traditional media interacts with contemporary digital environments. Her work explores symbolic dynamics in advertising, the evolution of typography from Gutenberg to virtual publications, and the legal frameworks governing creative works in digital spaces. She investigates how new technologies transform artistic practices while maintaining connections to historical techniques, with particular focus on remix culture and copyright issues in visual communication. Her publication trends reveal consistent exploration of media transitions, with recent work analyzing digital image processing, urban-nature representations in artificial environments, and comparative studies of display versus print media. These publications demonstrate her interdisciplinary approach connecting artistic practice with scholarly inquiry into media evolution. Premiul UAP România pentru grafică - tineret (2002) Premiul Vespasian Lungu pentru grafică (1997) As a researcher, she has led multiple nationally-funded projects including 'Vector – Design and Book Illustration' (2012) through the National Cultural Fund and 'Center for Promoting Entrepreneurship in Sustainable Development' (2010-2013). She coordinates international collaborations through Erasmus+ and Leonardo da Vinci programs, organizing workshops on infographics, bookbinding, and digital media. Her professional activities span academic leadership, legal practice in intellectual property, and active participation in national and international artistic communities as both creator and evaluator. She coordinates specialized workshops in infographics and bookbinding techniques, and participates annually in the Brâncuși International Workshops for sculpture, painting, and graphics. Her collaborative network extends across European institutions through multiple international partnerships, with recent involvement in Korea's 'O întâlnire și o altă călătorie începe' exhibition (2024).

Stavros Vologiannidisمشاهده پروفایل

استادیار

• Control Theory
• Robotics
• Machine Learning
• +۳ مورد دیگر

Stavros Vologiannidis serves as an Assistant Professor in the Department of Informatics, Computer and Telecommunications Engineering at the International University of Greece. His academic career spans both teaching and research in control theory, robotics, and machine learning applications. Previously, he was associated with the Mathematics Department at Aristotle University of Thessaloniki where he completed his education and conducted postdoctoral research. Education: B.Sc. in Mathematics from Aristotle University of Thessaloniki (1997) Ph.D. in Control Theory from Aristotle University of Thessaloniki (2005) with dissertation titled 'ALGEBRAIC-POLYONYMICAL COMPUTING METHODS IN CONTROL THEORY' Dr. Vologiannidis' research focuses on Classical and Intelligent Control Theory, Robotics, and Machine Learning, with particular expertise in polynomial matrices and automatic control systems. His work bridges theoretical mathematics with practical engineering applications, especially in educational robotics and industrial control systems. He has developed several educational platforms including EUROPA, a ROS-based educational robot for teaching sensor integration and data acquisition. His publication record shows a clear evolution from theoretical control systems research toward applied machine learning and educational technology. Recent work demonstrates increasing focus on practical applications of AI in education, urban feature recognition, industrial monitoring, and robotics education across multiple educational levels from middle school through university. His research combines mathematical rigor with real-world implementation. Scientific Recognition: Excellence Scholarship in the 'Excellence Scholarships 2010' program of the Research Committee Total citations exceeding 250 with Scopus H-index of 9 Dr. Vologiannidis has secured numerous research grants and led multiple projects including 'Rapid Earthquake Damage Assessment Consortium – REDACt', 'Predictive Maintenance 4.0', and 'Development of computational methods for optimization of eigenvalue assignment problems'. He has collaborated extensively with institutions across Europe including UTIA Foundation in Prague and has participated in EU-funded projects like GALENOS and GN4-1 GÉANT Research and Education Networking. His laboratory work centers around the EUROPA educational robotics platform and the StreetScouting urban feature detection system, both of which integrate hardware, software, and educational applications. These projects demonstrate his commitment to translating theoretical research into practical educational and industrial tools.

• Mathematical Analysis
• Fuzzy Set Theory
• Measure Theory
• +۵ مورد دیگر

Lect. dr. Alina Cristiana Gavriluţ is a faculty member at the Faculty of Mathematics, Al. I. Cuza University of Iaşi, Romania. Her research focuses on advanced topics in mathematical analysis, including set multifunctions, non-additive measures, fuzzy integrals, and their applications in physics and complex systems. She has authored/co-authored multiple books and over 30 peer-reviewed papers in journals like Fuzzy Sets and Systems , Entropy , and Reports on Mathematical Physics . Her work explores regularity properties of set multifunctions, integrability in non-additive settings, and interdisciplinary applications in areas like fractal information, quantum mechanics, and neurosciences. She has also contributed to theoretical frameworks connecting mathematical physics with complex systems, including studies on non-differentiable entropy and spacetime manifolds. Dr. Gavriluţ collaborates extensively with researchers in mathematics and physics, notably Maricel Agop and Anca Croitoru. Her research has implications for diverse fields, from image processing to neuronal network modeling. She actively participates in international conferences, presenting findings on set-valued integration, fractal systems, and transdisciplinary approaches to complex phenomena. Education: PhD in Mathematics from Al. I. Cuza University (year not specified). Key Areas: Mathematical analysis, measure theory, fuzzy set theory, complex systems, non-differentiable dynamics. Grants/Awards: Not explicitly listed in the provided texts, but her prolific publication record indicates sustained academic engagement. Labs/Teams: Affiliated with the Mathematics department at Al. I. Cuza University, contributing to research groups in functional analysis and mathematical physics.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

Călin-Adrian POPA is a Full Professor at the Department of Computer and Software Engineering, Politehnica University of Timişoara. He holds a Ph.D. in Computer Science and Information Technology (2015) from Politehnica University Timişoara, and additional degrees in Mathematics from West University of Timişoara (B.Sc. 2013, M.Sc. 2015). His research focuses on artificial intelligence, machine learning, and neural networks, with specializations in complex-valued systems (octonion, quaternion, Clifford algebra), stability analysis, and synchronization of neural networks. He has been awarded the 'Profesor Bologna' Distinction (2017). Research interests include: Advanced neural network architectures Deep learning for computer vision Fractional-order systems Nonlinear dynamics and control Applications in robotics and astrophysics His publications span 2014–2025, emphasizing theoretical contributions to neural networks and practical applications in computer vision and robotics. He supervises a large cohort of PhD students in AI-related fields.

Radu MARINESCUمشاهده پروفایل

استاد

• Software Engineering
• Software Quality Assurance
• Software Metrics
• +۳ مورد دیگر

Radu Marinescu is a Professor of Software Engineering at the Politehnica University of Timisoara, affiliated with the Department of Computer Science and Engineering. He leads the LOOSE Research Group and is a senior researcher at the e-Austria Institute. His primary roles include teaching graduate courses like Foundations of Software Engineering and Research Topics in Software Engineering. Marinescu's research focuses on software quality assurance, metrics, and maintenance, emphasizing object-oriented systems. He co-founded Intooitus, a spin-off company that develops quality assessment tools like inFusion and inCode. Marinescu holds a Dr. Habil. Eng. and a joint PhD ('magna cum laude') from Politehnica University of Timisoara and University of Karlsruhe. He has authored over 30 international publications and co-authored the best-selling book Object-Oriented Metrics in Practice (Springer). His awards include the IBM John W. Backus Award (2009) and an IBM Eclipse Innovation Award (2006). Marinescu has served as General Chair for ICSM 2010 and on numerous conference program committees. His research projects include developing tools like iPlasma for software analysis and inCode for real-time design flaw detection. Marinescu has advised four PhD students and participated in consultancy projects for companies like Nokia, Alcatel-Lucent, and Siemens VDO Automotive. He actively contributes to the software engineering community through editorial roles, conference organization, and evaluations for EU research programs.

Dan Cristeaمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۳ مورد دیگر

Prof. Dan Cristea is a faculty member at the Faculty of Computer Science, Alexandru Ioan Cuza University (UAIC), specializing in Artificial Intelligence and Natural Language Processing. He holds a PhD and is a corresponding member of the Romanian Academy. His research focuses on computational linguistics, knowledge representation, and historical document deciphering, with notable projects like DeLORo for old Cyrillic texts and EUROLAN Summer Schools. He has supervised numerous students in AI and NLP projects, including systems for question-answering, sentiment analysis, and agent-based models. His work bridges theoretical linguistics with practical applications in digital heritage preservation and multilingual technologies. Education: PhD (not explicitly stated in text), but his academic rank implies doctoral qualifications. Research Interests: AI applications in NLP, discourse analysis, computational linguistics, and cultural heritage digitization. Projects include MappingBooks for geographical text navigation, CoBiLiRo for bimodal corpora, and Sentimatrix for sentiment analysis. He collaborates internationally on corpora like EuReCo and has developed tools for dependency parsing and semantic annotation. Key Achievements: Corresponding member of the Romanian Academy Lead developer of the Corpus of Contemporary Romanian Language (CoRoLa) Pioneered AI-driven historical document transcription systems Grants and Collaborations: Involved in EU-funded projects like i-Librarian and i-Publisher. Collaborates with institutions globally on NLP and corpus linguistics. Labs/Teams: Director of the NLP-Group@UAIC-FII and heads the DeLORo project team.

Mihai Mocanuمشاهده پروفایل

مدرس

• Machine Learning
• Educational Data Mining
• Medical Imaging
• +۳ مورد دیگر

Mihai Mocanu is a Lecturer at the University of Craiova, affiliated with the Faculty of Automatic Control, Computers and Electronics. His work spans machine learning, educational data mining, and medical imaging technologies. Research Interests: He focuses on developing interpretable machine learning models, particularly using decision trees for educational data mining and GIS analysis. His work also includes designing e-learning systems with personalized recommendation workflows and enhancing engagement through data-driven approaches. Notable Contributions: Mihai has pioneered segmentation techniques for 3D medical imaging, created adaptive learning systems with stacked models, and explored social network impact on education. His research integrates pedagogical agents and usability evaluation frameworks in e-learning platforms.

• Multimedia
• Image Processing
• Software Engineering
• +۵ مورد دیگر

Cosmin Stoica Spahiu is a Senior Lecturer in the Department of Computer Science and Information Technology at the University of Craiova's Faculty of Automatic Control, Computers and Electronics. He holds a PhD in Computer Science from the University Politehnica of Bucharest (advisor: Prof. Mircea Petrescu) and graduated with a Software Engineering degree in 2004. Courses: Database Design, Human-Computer Interaction, Software Testing Research Focus: Multimedia and image processing, particularly in medical imaging and semantic processing Scientific Recognition: Received two Best Paper awards at international conferences (MMEDIA 2010, ICCGI 2010). Participated in 7 national/international research projects related to medical imaging, distributed databases, and content-based retrieval systems.

• Signal Processing
• Wavelet Analysis
• Image Processing
• +۳ مورد دیگر

Prof. Dr. Ing. Alexandru Isar is a Full Professor at the Department of Communications, Faculty of Electronics and Telecommunications, Politehnica University of Timișoara. He holds academic ranks since 1990 (Adjunct Professor), 1995 (Associate Professor), and 1999 (Full Professor). His research focuses on signal processing, wavelet analysis, and medical imaging. He has advised 5 Ph.D. students and currently supervises 2 doctoral candidates. Isar has published extensively in IEEE journals and authored books on time-frequency representations and network security. **Education**: Ph.D. in Engineering (1993), supervised by Prof. Eugen Pop. Completed postdoctoral research at Telecom Bretagne, France (2003). **Grants**: European Space Agency-funded projects (2013-2017) and national grants (IDEI 2009-2011). **Research Directions**: Introduced time-frequency representations and wavelet theory applications. **Notable Contributions**: Inventions in ultrasonic control systems (1987), development of the Hyperanalytic Wavelet Transform (2008), and SAR/SONAR image denoising algorithms. **Administrative Roles**: Deputy Dean (2001-2004), Department Director (2012-2020). **Collaborations**: European Space Agency projects, international conferences (Brest, Bordeaux), and peer reviews for IEEE journals. His work bridges theoretical signal processing with practical applications in healthcare and telecommunications.

• Neural Networks
• Signal Processing
• Telecommunications
• +۳ مورد دیگر

Corina Botoca is an Associate Professor at the Politehnica University of Timișoara, Faculty of Electronics and Telecommunications. She joined the university in 1988 as an assistant, progressing to works manager (1996–2006), and has held her current position since 2006. Her research focuses on neural networks applied to signal processing, telecommunications, and medical diagnostics, with notable contributions in nonlinear systems and image analysis. She has authored/co-authored books on neural networks and signal processing techniques, and her work includes pioneering studies on prostate cancer prediction using neural networks (accuracy exceeding 95%). Botoca has received the ETC Excellence Award in 2004 and 2006. She serves on multiple academic committees, including quality assurance and accreditation, and has led significant grants such as the PN II bilateral project on facial expression recognition (2009–2010). Her teaching innovations include courses on cellular neural networks and data communications. She has established research labs like B712 (Data Communications) and B219 (Selected Topics on Communications Networks), advancing interdisciplinary research in medical imaging and telecommunications. Her publications span over three decades, with key articles in IEEE and WSEAS journals. Notable works include 'Nonlinear complex channel equalization using a radial basis function neural network' (2004) and 'Cellular neural network processing of CEUS examination' (2016). Botoca’s administrative roles include membership in the Department Council and leadership in quality assurance initiatives, reflecting her dual commitment to research and institutional governance.

Donciu Codrinمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Earthquake Early Warning Systems
• +۳ مورد دیگر

Prof. Donciu Codrin is a full professor at the Department of Electric Power Engineering, Technical University of Iasi. His research spans interdisciplinary fields including signal processing, image processing, earthquake early warning systems, and textile engineering. He leads projects on seismic response analysis using uniaxial shaking tables, non-invasive eye safety systems (e.g., Opto-Guard), and ESD-protective textiles. His work integrates hardware design (e.g., electrodynamic actuators) with advanced algorithm development for applications like video-based distance measurement and apparel sizing estimation. Research projects include: Signal Processing : OFDM modulation, DFT/FFT algorithms, and seismic waveform analysis Computer Vision : Pattern recognition, 3D reconstruction, and human-centric interface design Structural Engineering : Earthquake simulation platforms and early warning system validation Textile Innovation : Conductive fabric development for ESD protection and functional garments Recent publications focus on seismic wave analysis (2023–2025), optoelectronic safety systems (2022), and ultrasonic sensing technologies (2020–2021). His work bridges theoretical signal processing with real-world applications in disaster preparedness and ergonomic design.

Ilarion Mihăilăمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Laser Ablation
• Optical Diagnostics
• +۴ مورد دیگر

Ilarion Mihăilă is a Scientific Researcher III at the Department of Exact Sciences and Natural Sciences, CERNESIM Center, Alexandru Ioan Cuza University of Iasi. He specializes in plasma physics, with expertise in plasma diagnostics, laser ablation, and thin film deposition. His work spans environmental, biomedical, and materials science applications. PhD in Physics (Plasma Physics), Faculty of Science and Engineering, Saga University, Japan Master’s and Bachelor’s in Physics (Plasma Physics), Faculty of Physics, Alexandru Ioan Cuza University of Iasi Research interests: Production and diagnosis of DC, AC, and RF plasmas (low pressure/atmospheric pressure), laser ablation for thin film deposition, mass spectrometry, and applications in pollutant destruction, biomedical treatments, and astrophysical carbon dust analogues. His studies explore plasma-seed interactions, flexible electronics substrates, and plasma-activated media in cancer therapy. Prominent article trends: Recent works focus on non-thermal plasma applications in agriculture (quinoa seed germination under saline stress), biomedical innovations (plasma-assisted chemotherapy), and materials science (surface relief gratings for flexible electronics). His plasma jet diagnostics and computational modeling address industrial and environmental challenges, while earlier studies emphasize magnetron sputtering, laser ablation, and fundamental plasma physics.

Tripon Carmenمشاهده پروفایل

پژوهشگر

• Atomic and Molecular Physics
• Photothermal Techniques
• Pharmaceutical Solid-State Research
• +۲ مورد دیگر

Dr. Carmen Tripon is a senior researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies in Cluj-Napoca, Romania, where she contributes to the Advanced Materials, Energy and Technologies Department through her work in quantum engineering and material science. MSc in Physics of Oxidic Systems (2002, Babeș-Bolyai University) PhD in Physics (2009, Babeș-Bolyai University) Her research focus spans atomic and molecular physics, photothermal techniques for material characterization, screening pharmaceutical solid forms, solid-state NMR for molecular structure elucidation, and UV-induced DNA degradation in plants. She develops advanced materials for environmental remediation, drug delivery systems, and energy storage solutions. Recent publications highlight her expertise in environmental science (adsorbent design, photocatalysis), biomedical engineering (nanocarriers for wound healing/melanoma imaging), and energy technology (supercapacitors, magnetic fluids). Key subfields include graphene-based sensors, metal-doped nanomaterials, and sustainable waste valorization for pollutant removal.