جست‌وجوی استاد و پژوهشگر

Gabriel Dănilăمشاهده پروفایل

مدرس

• Earthquake Engineering
• Structural Engineering
• Seismic Design
• +۳ مورد دیگر

Gabriel Dănilă serves as a Lecturer in the Department of Technical Sciences at Ion Mincu University of Architecture and Urbanism (UAUIM), Bucharest, contributing to structural engineering education within Romania's architectural academic framework. His research centers on earthquake engineering with specialized expertise in seismic isolation systems, vibration control mechanisms, and nonlinear analysis for irregular structures. Key focus areas include Vrancea earthquake mitigation, base isolation optimization, tuned mass damper applications for high-rises, and seismic assessment methodologies for unreinforced masonry buildings. Publication analysis (2012-2017) reveals consistent contributions to practical seismic engineering solutions, with recent work emphasizing advanced nonlinear static analysis procedures for retrofitted and complex building systems. This trajectory demonstrates evolving methodological sophistication in addressing structural vulnerabilities. No scientific awards were documented in the source materials. Information regarding student supervision, research funding, laboratory facilities, or collaborative teams was not provided in the available text.

Lucian Maticiucمشاهده پروفایل

دانشیار

• Backward Stochastic Differential Equations
• Stochastic Variational Inequalities
• Reflected Stochastic Differential Equations
• +۴ مورد دیگر

Lucian Maticiuc is an Associate Professor at the Faculty of Mathematics of 'Alexandru Ioan Cuza' University in Iasi, Romania. His academic career spans over two decades, with roles including Lecturer and Associate Professor at both 'Alexandru Ioan Cuza' University and 'Gheorghe Asachi' Technical University. He holds a PhD in Mathematics (2008) focusing on Viability and Optimal Control in Infinite Dimensional Spaces. Research Interests: His work centers on stochastic analysis, particularly backward stochastic differential equations (BSDEs), stochastic variational inequalities, and their applications to partial differential equations (PDEs) and control theory. He has extensively studied reflected BSDEs, viability theory, and stochastic processes with discontinuities. His research bridges probabilistic methods with deterministic PDEs, often yielding novel existence and uniqueness results for complex systems. Teaching & Collaboration: Maticiuc has taught advanced courses in Probability Theory, Mathematical Software (LaTeX/MATLAB), and Integral Calculus. He has collaborated internationally, including visiting positions at universities in France, Italy, Germany, and Poland. He contributed to European Union-funded projects like the Marie Curie ITN program on Stochastic Control and Applications. Professional Activities: He organizes international conferences (e.g., Controlled Deterministic and Stochastic Systems), serves on grant management teams (e.g., FP7/ERC projects), and participates in workshops on stochastic analysis. His work emphasizes interdisciplinary applications of stochastic methods in finance, engineering, and mathematical physics.

• Electrical Engineering Education
• Fuzzy Logic Systems
• Power Systems Analysis
• +۳ مورد دیگر

Cristina Vatavu is a Lecturer in the Department of Electrical Engineering at Gheorghe Asachi Technical University of Iași's Faculty of Electrical Engineering. Her research spans electrical engineering education innovations, fuzzy logic systems, power analysis, and signal processing. She actively participates in student scientific communications sessions and coordinates competitions in theoretical electrical engineering applications. Research interests focus on pedagogical improvements through simulation tools (OrCAD), nonlinear device analysis, and practical training methodologies. Publications demonstrate strong emphasis on optimizing educational approaches and control systems through fuzzy logic algorithms. Articles reveal consistent focus on engineering education enhancement (2018-2019), alongside deeper technical work in fuzzy logic applications (2002-2005) and signal/power analysis (2005-2016).

• 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.

Mihai Neculaمشاهده پروفایل

استاد

• Complex Analysis
• Differential Equations
• Functional Programming
• +۳ مورد دیگر

Conf. dr. Mihai Necula is a Professor at the University of Al. I. Cuza of Iasi's Faculty of Mathematics, Department of Mathematics. He specializes in complex analysis, differential equations, and programming education. He teaches courses like 'Elemente de analiză complexă și aplicații' using Python and C++, covering topics from complex numbers to fractals and differential equations. His research focuses on viability theory, nonlinear evolution inclusions, and delay differential equations with applications in various scientific fields. Recent research includes studies on viability criteria for differential inclusions, delay evolution equations with nonlocal conditions, and nonlinear reaction-diffusion systems. His work spans theoretical contributions to applied mathematics with practical implications in engineering, biology, and physics. He has advised numerous courses but no specific student names were listed. No scientific awards were explicitly mentioned in the provided materials. His teaching spans multiple academic years (2014-2025) across courses in programming fundamentals, fractal geometry, and differential equations. Labs/Teams: Likely part of the university's mathematics research groups focusing on differential equations and applied analysis.

Marius-Ovidiu Apetriiمشاهده پروفایل

مدرس

• Convex Analysis
• Optimization Theory
• Computational Mathematics
• +۳ مورد دیگر

Lect. dr. Marius-Ovidiu Apetrii is a Lecturer and Prodecan at the Faculty of Mathematics, Alexandru Ioan Cuza University of Iași. He has held academic positions since 2003, progressing from Preparator to Asistent, and currently serves as Prodecan since 2016. His research focuses on convex analysis, optimization theory, computational mathematics, and control systems. Education PhD in Mathematics (2007), Thesis: "Contributions to the Study of Generalized Monotonicity and Convexity" Master’s in Advanced Analysis (2002) Bachelor’s in Mathematics (2000) Research Interests Dr. Apetrii’s work emphasizes theoretical foundations of convex analysis, optimization algorithms, and their applications to control systems. He explores invariance principles in dynamic systems, Lyapunov functions, and stochastic processes. His recent contributions include studies on space debris dynamics and polyhedral set invariance in continuous systems. Grants & Collaborations Lead grant on traffic model validation (2019) Contributions to 10+ national/international grants since 2002 Developed educational software for university systems (scheduling, e-learning platforms) Teaching Teaches advanced programming and calculus courses at the Faculty of Mathematics, including "Programare orientată obiect" and "Calcul integral şi aplicaţii" .

Alexandra Melnigمشاهده پروفایل

مدرس

• Partial Differential Equations
• Control Theory
• Inverse Problems
• +۳ مورد دیگر

Alexandra Melnig is an academic specializing in mathematical analysis and applied mathematics, focusing on partial differential equations, control theory, and inverse problems. She teaches undergraduate courses in Ordinary Differential Equations, Partial Differential Equations, Functional Analysis, and Complex Analysis at an unspecified institution. Her research emphasizes parabolic systems, controllability, stabilization, and Carleman estimates in 𝐿𝑞(𝐿𝑝) spaces. Her work bridges theoretical analysis and applied methodologies, addressing challenges in inverse problems and source stability. Recent studies include reaction-diffusion systems in annular domains, internal controllability in star-and tree-like coupled systems, and stability estimates in inverse source problems. Dr. Melnig collaborates with Professors C. Lefter and M. Necula, as evidenced by co-authored papers and shared teaching resources. Office hours are held weekly for student consultations. No specific grants or awards are listed in the provided materials.

Teodor Havârneanuمشاهده پروفایل

استاد

• Partial Differential Equations
• Hamilton-Jacobi Equations
• Fluid Dynamics
• +۷ مورد دیگر

Teodor Havârneanu is a Professor at the Faculty of Mathematics, Alexandru Ioan Cuza University, Iași, Romania, a position he has held since 2008. He is also affiliated with the Institute of Mathematics of the Romanian Academy, Iași, where he has been a researcher since 2005. He previously served as Associate Professor (1995–2008) and Lecturer (1993–1995) at the same faculty. He was a visiting professor at the Department of Mathematics, University of Wyoming, USA, during the spring semesters of 2004 and 2005. His educational background includes a degree in Mathematics from Alexandru Ioan Cuza University (1975–1979), followed by a specialization year in Functional Equations (1979–1980), and a PhD in 1991 with a thesis on viscous solutions for infinite-dimensional Hamilton-Jacobi equations, supervised by academician Viorel Barbu. His research is centered on partial differential equations, particularly Hamilton-Jacobi equations , integro-differential equations with delay , and the controllability of fluid dynamics systems such as the Navier-Stokes and magnetohydrodynamic (MHD) equations. His work combines deep analytical methods with applications in control theory, especially in infinite-dimensional and nonlinear settings. The analysis of his recent publications reveals a strong focus on exact controllability problems in fluid mechanics, with several joint papers on MHD and Navier-Stokes equations under various boundary conditions. His earlier work laid foundations in stability and semigroup theory for delay and neutral equations, evolving into sophisticated control-theoretic PDE analysis. Co-author of Controllability of Viscous Incompressible Fluid (Springer, forthcoming) Author of Ecuaţii integrale (Editura Alexandru Myller, 2007) He has advised several researchers and co-authored significant papers with C. Popa, V. Barbu, and S.S. Sritharan. He has not received any explicitly mentioned scientific awards in the provided text. He is actively involved in research and continues to publish in high-impact journals in mathematical analysis and control theory. He is associated with the Institute of Mathematics of the Romanian Academy and contributes to the academic life at Alexandru Ioan Cuza University through teaching and research leadership.

• Electrical Engineering
• Power Electronics
• Thermal Management
• +۳ مورد دیگر

Олександр Вікторович Близняков is an Associate Professor and Deputy Head of the Department of Electrical and Electronic Apparatus at Zaporizhzhia National Technical University's Electrotechnical Faculty. With a Candidate of Technical Sciences degree, he specializes in thermal regimes of power electrical equipment and energy efficiency optimization. His academic career spans over four decades, having started in 1991 with his thesis defense on switching processes in submerged protection devices at Moscow Power Engineering Institute. His research interests focus on: Thermal management in electrical systems Electromagnetic phenomena analysis Energy-efficient motor control Condition monitoring of electrical equipment Electromechanical system optimization His recent publications demonstrate expertise in thermal behavior analysis, electromagnetic modeling, and motor rotation synchronization. He has contributed to numerous educational textbooks and methodological guides, including: "Research and testing of electrical devices" (2013) "Thermal Behavior Analysis of Power Electric and Electronic Equipment" (2013) Professionally, he has participated in international conferences like the Modern Electrical and Energy Systems symposium (2017, 2022) and contributes to IEEE journals through collaborative research.

• Stochastic differential equations
• Optimal control
• Probabilistic methods for PDEs
• +۱ مورد دیگر

Adrian Zalinescu serves as Associate Professor at the Faculty of Computer Science, Alexandru I. Cuza University of Iasi, Romania, with office C307 in Building C at Gen. Berthelot 16. His current teaching schedule through June 2025 shows active instruction in Probability and Statistics courses for undergraduate programs including I1B and I1E groups. Dr. Zalinescu's research centers on stochastic analysis with significant contributions to: Stochastic differential equations and variational inequalities Optimal control theory Probabilistic methods for partial differential equations Financial mathematics applications His publication trajectory demonstrates sustained innovation in time-delayed systems, backward stochastic differential equations (BSDEs), and path-dependent nonlinear Kolmogorov equations, with recent work extending to medical imaging applications for tumor identification through stochastic elasticity models. He maintains active scholarly profiles through Google Scholar, ORCID (0000-0002-7829-3734), Scopus (AuthorID: 7801340885), and Web of Science (ResearcherID: ABJ-0818-2022). His teaching portfolio includes Mathematics - Differential and Integral Calculus, Probabilistic Programming and Modeling, and Probability and Statistics courses.

Adrian Sorin Roscaمشاهده پروفایل

دانشیار

• Industrial Engineering
• Computer-Aided Design
• Finite Element Analysis
• +۳ مورد دیگر

Adrian Sorin Rosca serves as Associate Professor and Director of the Department of Automotive, Transportation and Industrial Engineering within the Faculty of Mechanics at University of Craiova. His dual expertise spans mechanical engineering and public health epidemiology, reflecting an unusual interdisciplinary trajectory from agricultural engineering in the 1970s to contemporary medical research. His research interests include Industrial Engineering, Computer-Aided Design, Finite Element Analysis, and Public Health Epidemiology. Early work focused on agricultural mechanics and fertilizer effects, evolving through mechanical engineering (thermovision, bioresins, pneumatic systems), and culminating in significant contributions to pandemic response research since 2020. Recent publications demonstrate deep engagement with COVID-19 prognostics, vaccine efficacy, and comorbidity analysis. Analysis of his 15 most recent publications reveals a dramatic research pivot: 80% of 2023-2024 works address medical topics while maintaining engineering methodology. This unique crossover combines mechanical modeling approaches with clinical epidemiology, particularly in geriatric pandemic response and comorbidity interactions. His work consistently applies engineering precision to biological systems. Professional activities include leadership in sustainable development education through Erasmus exchanges and Solar Decathlon participation. His departmental directorship oversees automotive, transportation, and industrial engineering programs with emphasis on transdisciplinary collaboration.

Adrian Marius DEACONUمشاهده پروفایل

دانشیار

• Combinatorial optimization
• Network flow analysis
• Inverse problems in networks
• +۵ مورد دیگر

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.

Horia-Nicolai Teodorescuمشاهده پروفایل

استاد

• Artificial Intelligence
• Biomedical Engineering
• Complex Systems Theory
• +۵ مورد دیگر

Horia-Nicolai Teodorescu is a Professor at the Technical University of Iasi and a Corresponding Member of the Romanian Academy, affiliated with the Institute of Theoretical Computer Science. His academic leadership includes doctoral supervision and teaching advanced subjects like Intelligent Systems, Medical Electronics, and Neuro-Fuzzy Systems. Research Focus: Core interests span Artificial Intelligence (neuro-fuzzy networks, A-Life, VR systems), Biomedical Engineering (medical signal processing, diagnostics), and Complex Systems Theory. Recent work emphasizes sensor technology, IoT resilience, speech analysis under clinical constraints, and network robustness. Publications & Awards: Author of 300+ works and 20+ patents, with extensive editorial contributions including managing FUZZY SYSTEMS & A.I. Reports and Letters . Recognized as IEEE Senior Member and Romanian Academy Correspondent.

Mircea NEAGUمشاهده پروفایل

دانشیار

• Riemann-Lagrange Geometry
• Riemann-Hamilton Geometry
• Jet Spaces
• +۳ مورد دیگر

Mircea NEAGU is an Associate Professor at the Department of Mathematics and Computer Science within the Faculty of Mathematics and Computer Science at the University of Technical Education in Brașov, Romania. His research focuses on Riemann-Lagrange geometry and Riemann-Hamilton geometry on jet spaces, with applications in theoretical physics and dynamical systems. He has authored several influential books, including Riemann-Lagrange Geometry on 1-Jet Spaces (2005) and Jet Single-Time Lagrange Geometry and Its Applications (2011). His work bridges abstract geometric concepts with practical applications, such as modeling population dynamics in warfare, epidemiological systems, and electrodynamics. Key areas of interest include jet geometrization of Hamiltonians, nonlinear connections, and stability analysis of dynamical systems using KCC theory. NEAGU’s contributions span theoretical frameworks in optics, plasma physics, and quantum mechanics, often leveraging multi-time calculus and geometric approaches. His recent publications (2022–2025) emphasize time-dependent Hamiltonian systems, dual jet spaces, and the interplay between geometric structures and physical phenomena. He collaborates internationally, contributing to advancements in both pure and applied mathematics.

Lorand Gabriel Parajdiمشاهده پروفایل

مدرس

• Ordinary Differential Equations
• Mathematical Modelling in Medicine and Biology
• Chemical Reaction Network Theory
• +۴ مورد دیگر

Lorand Gabriel Parajdi is a Lecturer at the Department of Mathematics, Faculty of Mathematics and Computer Science, Babeș-Bolyai University in Cluj-Napoca, Romania. He holds a Ph.D. in Mathematics (2019) and has held academic positions including Postdoctoral Researcher at West Virginia University (2021–2025) and roles such as Assistant Professor and Associate Assistant Professor at Babeș-Bolyai University. His research focuses on mathematical modeling in hematology and oncology, particularly in chronic myeloid leukemia and solid tumors. Education: Ph.D. in Mathematics (2019), Babeș-Bolyai University M.Sc. in Applied Mathematics (2015), Babeș-Bolyai University B.Sc. in Pure Mathematics (2013), Babeș-Bolyai University Research Interests: Mathematical modeling of cell dynamics, differential equations, optimal control in medical contexts, hematopoiesis, leukemia progression, and biomathematical systems. He actively contributes to theoretical and computational studies of stem cell transplantation, treatment optimization, and residual disease assessment in chronic myeloid leukemia. Research Projects: Includes work on clonal hematopoiesis, chemical reaction networks, and DSR cycles in biochemical systems. His projects often integrate numerical methods and stability analysis for biomedical applications. Affiliations: Member of research groups such as the WVU Mathbio Research Group and the Nonlinear Operators and Differential Equations Group at Babeș-Bolyai University. Professional memberships include the American Mathematical Society and European Society for Mathematical and Theoretical Biology. Grants: Supported by projects like POCU 153310 (STEAM+Health) for optimal control in cell dynamics. His work aligns with interdisciplinary research in STEM+Health. Labs/Teams: Collaborates with interdisciplinary teams in mathematical biology, computational medicine, and systems biology at both national and international levels.