جست‌وجوی استاد و پژوهشگر

Jan Awrejcewiczمشاهده پروفایل

استاد

• Nonlinear Mechanics
• Bifurcation and Chaos Phenomena
• Biomechanics
• +۶ مورد دیگر

Prof. Jan Awrejcewicz is a full professor at the Faculty of Mechanical Engineering, Lodz University of Technology, where he has been employed since 1997. He serves as the founding head of the Department of Automation, Biomechanics, and Mechatronics since 1996. His career began at Lodz University of Technology, where he earned his M.Sc. (1977), Ph.D. (1981), postdoctoral degree (1990), and professorship (1994). He also holds a philosophy degree from the University of Lodz (1978). Research Interests: Prof. Awrejcewicz specializes in nonlinear dynamics, bifurcation theory, chaos phenomena, biomechanics, and mechatronics. His work bridges theoretical mechanics with practical applications in vibration control, automation, and biomedical engineering. He has pioneered research in asymptotic methods, discontinuous systems, and engineering biomechanics. Awards & Recognition: Recipient of the prestigious Alexander von Humboldt Foundation Award (2011) Recipient of Poland's national awards including the Złota Lampa (2006) and Mistrz (2009) Decorated with the Officer's Cross of the Order of Poland's Rebirth (2012) Academic Leadership & Service: Organizer of the international conference series Dynamical Systems – Theory and Applications held biennially in Łódź (12 editions) Member of the Central Commission for Degrees and Titles (2013–2016) Vice President of the Polish Society of Biomechanics (2012–2014) Professional Contributions: He has supervised 20 doctoral and 5 postdoctoral theses, authored/co-authored 45 monographs, and published over 300 journal articles. He edits the Journal of Modeling, Simulation, Identification and Control and has reviewed 39 monographs and 35 habilitation works.

• Control Systems
• Mechanical Engineering
• Offshore Engineering
• +۵ مورد دیگر

Christian Holden is an Associate Professor at the Department of Mechanical Engineering and Manufacturing, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on control systems, mechanical engineering, and offshore engineering with applications in robotics, fluid dynamics, and marine systems. He holds a PhD in Modeling and Control of Parametric Roll Resonance (2011). Key research areas include adaptive control systems, drill-string dynamics, riser-tensioner systems, and hydrocyclone optimization. His work combines theoretical modeling with practical applications in offshore operations, robotics, and energy systems. Collaborations with industry and academia have yielded solutions for challenges in subsea engineering, drilling dynamics, and automation. Publications emphasize advanced control methodologies, simulation frameworks, and experimental validation. His recent work explores AI-driven trajectory planning for robotics and control-oriented models for industrial separation processes. Holden's contributions bridge mechanical engineering principles with cutting-edge control theory for real-world engineering systems.

Elżbieta Majewskaمشاهده پروفایل

استادیار

• Financial Economics
• Econometrics
• Time Series Analysis
• +۳ مورد دیگر

Elżbieta Majewska is an Assistant Professor at the University of Białystok's Faculty of Economics and Finance, affiliated with the Department of Business Studies Division of Quantitative Methods. She specializes in financial econometrics, quantitative methods in finance, and sustainable development analysis. Her research focuses on stock market dynamics, crisis periods, entropy-based methods, and policy evaluation. Dr. Majewska has extensively analyzed European and global stock markets, particularly regarding market integration, liquidity, and crisis impacts. Her work integrates statistical techniques like Principal Component Analysis, entropy algorithms, and volatility modeling to address complex financial phenomena. Her publications emphasize multi-criteria analysis for sustainability, crisis identification, and financial stability. She has contributed to understanding market turbulence, informational efficiency during pandemics, and the implications of tax policies. While no specific grants or awards are listed, her active publication record reflects ongoing research in quantitative finance and policy analysis.

Ivana S. Randjelovicمشاهده پروفایل

استادیار

• Metrology and Measurement Technology
• Pseudorandom Encoding
• Virtual Instrumentation
• +۶ مورد دیگر

Ivana S. Randjelovic is an Assistant Professor at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Metrology and Measurement Technology. She has been actively involved in research and academic activities since her appointment as assistant in 2010. Educational Background: Bachelor's Degree: Automation and Electronics, Faculty of Electronics in Niš (2001) Master's Degree: Metrology and Measurement Technology, Faculty of Electronics in Niš (2006) Her research focuses on pseudorandom encoding , virtual instrumentation , and industrial measurement systems , with applications in sensor linearization, position determination, and automation. She has developed high-resolution encoders and nonlinear ADCs for precise industrial sensing. Her publications reveal a consistent trend in the application of pseudorandom binary sequences and virtual instrumentation for robust, high-precision measurement solutions in industrial environments. The work spans encoder design, signal processing, and embedded control systems, with a strong emphasis on practical implementation. Scientific Projects: Participation in 4 scientific research projects funded by the Ministry of the Republic of Serbia Current involvement in 2 national projects Work in the metrology laboratory for electromagnetic quantities at the Faculty of Electronics She contributed to the development of the script "Computerized Measuring and Information Systems in Industry" in collaboration with Austrian Cooperation Eastern Europe WUS Austria (2005). While no formal students are listed, her extensive collaborative research suggests mentorship and advisory roles. No scientific awards are mentioned in the available text.

Dominique Sugnyمشاهده پروفایل

استاد

• Quantum Control
• Molecular Dynamics
• Nuclear Magnetic Resonance (NMR)
• +۳ مورد دیگر

Dominique Sugny is a Professor at Université de Bourgogne and a Hans Fischer Fellow at the TUM Institute for Advanced Study (2015 appointment). He leads the Optimal Control and Medical Imaging focus group, collaborating with Prof. Steffen Glaser at TUM. His primary affiliation is the Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB). Education & Career: PhD in Theoretical Physics (2002), Laboratory of Spectrométrie Physique, Grenoble Habilitation à Diriger des Recherches (2009) Maître de Conférence (2003–2014) and Professor (2014–present) at Université de Bourgogne Visiting Researcher at TUM (2012) Research Focus: Dominique Sugny develops optimal control methods for quantum and classical systems, with applications to molecular dynamics, nuclear magnetic resonance (NMR), and medical imaging. His work bridges theoretical physics, applied mathematics, and collaborations with experimentalists. Key areas include: Quantum control of spin systems and molecular processes Optimal pulse design for MRI contrast enhancement Nonlinear optics and terahertz spectroscopy Time-optimization algorithms for quantum systems Publications & Impact: His recent work emphasizes MRI optimization, quantum control algorithms, and molecular dynamics. Notable contributions include time-optimal RF pulse designs, quantum-classical analogues (e.g., tennis racket effect), and terahertz-driven molecular orientation. Labs & Collaborations: Affiliated with the ICB lab, he collaborates with mathematicians, physicists, and engineers to advance control theory applications in both fundamental and applied sciences.

Hoai Nam NGUYENمشاهده پروفایل

مدرس

• Control Systems
• Model Predictive Control
• Wave Energy Converters
• +۶ مورد دیگر

Hoai Nam NGUYEN is a Lecturer at Telecom SudParis within the ISTeC school. His research focuses on advanced control systems, particularly in model predictive control (MPC), robust control strategies, and applications to renewable energy systems like wave energy converters. He has contributed to the development of efficient algorithms for constrained control systems, including innovative methods for handling uncertainties and disturbances. His work often bridges theoretical advancements with practical implementations in areas such as energy harvesting and system optimization. Key research areas include: robust MPC design, ellipsoidal methods for invariant sets, adaptive control for wave energy systems, and LPV system analysis. His publications emphasize optimizing control performance under constraints, with notable contributions to improving domain of attraction in MPC and enhancing energy efficiency in wave energy converters. Nguyen's recent work (2023-2024) explores scalable command governor techniques and quasi-min-max MPC for LPV systems. He has also developed novel approaches for wave excitation force estimation and real-time control strategies. His research frequently intersects with applied mathematics and systems engineering, aiming to bridge theoretical control methods with real-world applications in renewable energy and automation. Notable collaborations include projects on wind turbine control using LiDAR sensor data and experimental validation of MPC strategies for wave energy prototypes. Despite no explicitly listed awards, his prolific publication record reflects sustained academic impact in control systems and renewable energy domains.

• Manufacturing Technology
• Joining Technology
• Quality Management
• +۳ مورد دیگر

Prof. Normen Fuchs holds a professorship in Manufacturing Technology (Joining Technology) and Quality Management at Stralsund University of Applied Sciences since 2019, concurrently serving as Dean. He previously worked at Fraunhofer IGP from 2006–2019, leading the Forming and Shaping Working Group and managing an ISO-accredited testing laboratory. His research focuses on lightweight materials joining, corrosion testing, and advanced manufacturing processes. He is an expert assessor for the German Accreditation Body, evaluating testing laboratories' quality systems. Education: Industrial Engineering (Specializing in Manufacturing Engineering and Production Technology) from the University of Rostock. Completed part-time training as an International Welding Engineer at the Welding Institute in Rostock. Research interests include joining technologies, quality management, and material science. Current projects emphasize adhesive bonding, thermal joining, additive manufacturing, and production metrology. He supervises theses at HOST and teaches courses in production technology, materials science, and quality engineering. His technical expertise spans: joining of lightweight materials, corrosion behavior analysis, and advanced manufacturing processes. He collaborates on additive manufacturing and digital product development initiatives.

Esteban Hernandez-Vargasمشاهده پروفایل

استادیار

• Systems Medicine of Infectious Diseases
• Mathematical Biology
• Computational Modeling of Immune Responses
• +۳ مورد دیگر

Esteban Hernandez-Vargas is an Assistant Professor at the Department of Mathematics and Statistical Science, University of Idaho. His research focuses on the interdisciplinary intersection of mathematics, machine learning, and infection biology, particularly through the lens of systems medicine of infectious diseases. He develops multi-scale mathematical approaches to dissect host immune-regulatory mechanisms during infections. University: University of Idaho School: College of Science Department: Department of Mathematics and Statistical Science Rank: Assistant Professor Research Interests: His work spans mathematical biology, computational modeling of immune responses, control theory for biomedical applications, and machine learning integration in biological systems. Specific areas include antibiotic resistance dynamics, viral infection modeling, immune digital twins, and multi-scale approaches to infectious diseases. Recent Publications: His recent articles emphasize control theory in biomedical problems (e.g., antibiotic cycling, viral rebound), hybrid neural differential equations, immune digital twins, and modeling of vaccination impacts. These publications highlight collaborations between mathematical modeling and immunology, leveraging computational frameworks for therapeutic optimization. Contact: esteban@uidaho.edu Lab: Systems Medicine of Infectious Diseases research group

Joseph Winkinمشاهده پروفایل

استاد

• Controlled Dynamic Systems
• Infinite-Dimensional Systems
• Distributed-Parameter Systems
• +۳ مورد دیگر

Joseph Winkin is a Full Professor and Director of the Department of Mathematics at the University of Namur, where he leads the Namur Institute for Complex Systems Research Unit in Applied Mathematics and Complexity. His extensive academic service includes membership in the IEEE Control Systems Society's Technical Committee on Distributed Parameter Systems, the IFAC Technical Committee TC 2.6, and the Steering Committee of the International Workshops on Control of Distributed Parameter Systems (CDPS). His research focuses on Controlled Dynamic Systems , specializing in infinite-dimensional and distributed-parameter systems. Key areas include spectral factorization, positive controlled systems, and the analysis and control of chemical/biochemical tubular reactors. His work integrates mathematical rigor with practical applications in process engineering and biological systems. Analysis of his 15 most recent publications (2017-2024) reveals a strong emphasis on observer design, boundary control, and stabilization techniques for infinite-dimensional systems. His research consistently bridges theoretical control theory with applications in epidemiology (SIRD models), cell population dynamics, and chemical reactors, demonstrating interdisciplinary impact across engineering and life sciences. Scientific awards: Outstanding Reviewer of the IEEE Transactions on Automatic Control (2006) As an academic leader, Winkin serves as Director of Mathematics (since 2015), member of the FRIA commission (since 2010), and Scientific Committee member for the FRS-FNRS Thematic Doctoral School in Mathematics (since 2011). His editorial roles include past associate editorships for the International Journal of Applied Mathematics and Computer Science, IEEE Transactions on Automatic Control, and European Journal of Automated Systems. Current projects focus on state estimators for positive distributed-parameter systems and stabilization of infinite-dimensional systems. He actively contributes to major international conferences as program committee member for IFAC workshops, MTNS symposia, and POSTA conferences, reflecting his leadership in the global control theory community.

Fakhteh Ghanbarnejadمشاهده پروفایل

استاد

• Complex Systems & Networks
• Data Science
• Statistical Physics
• +۳ مورد دیگر

Professor Fakhteh Ghanbarnejad serves as Professor of Computer Science and Program Director for B.Sc. and M.Sc. Computer Science programs at SRH University of Applied Sciences' School of Technology and Architecture in Leipzig. Her career spans prestigious institutions including Sharif University of Technology, Technical Universities of Berlin and Dresden, Max Planck Institute for Physics of Complex Systems, and public health research centers like Robert Koch Institute. Her academic foundation includes: B.Sc. and M.Sc. in Physics from Sharif University of Technology Ph.D. in Bioinformatics from Leipzig University Her research integrates Complex Systems & Networks , Statistical Physics , and Data Science to model contagious phenomena across epidemiology, socio-economics, and language evolution. She employs computational frameworks to analyze epidemic spreading patterns, human mobility dynamics, and cooperative contagion mechanisms, bridging theoretical physics with real-world public health challenges through rigorous mathematical modeling. Recent publications (2024-2025) demonstrate evolving focus on metapopulation epidemic modeling and pandemic mobility analysis, extending her foundational work on cooperative contagions and phase transitions in complex systems. This trajectory reveals consistent application of statistical physics to interdisciplinary problems with increasing emphasis on data-driven public health solutions. Key scientific recognitions include: DFG Eigene Stelle grant at TU Dresden (2020) DFG Eigene Stelle grant at TU Berlin (2017) Government of Ireland Postdoctoral Fellowship (2015) As Principal Investigator for major German and Irish research grants, she directs projects applying complex systems theory to epidemic dynamics. Her teaching portfolio spans 'Programming' and 'Advanced Mathematics' at SRH University alongside previous courses in 'Computational Physics' and 'Non-linear Dynamics & Chaos' at Sharif University, reflecting commitment to training next-generation computational scientists. Her collaborative research network encompasses Max Planck Institutes, Technical Universities, and public health agencies including Helmholtz Centre for Infection Research, enabling cross-institutional studies on contagion phenomena through integrated theoretical and empirical approaches.

• Applied Mathematics
• Inverse Problems
• Fractional Differential Equations
• +۵ مورد دیگر

He Yang is an Associate Professor in the Department of Mathematics at Augusta University, affiliated with the College of Science and Mathematics. His research and teaching are centered in applied mathematics, with a focus on inverse problems, fractional differential equations, and mathematical modeling. Research Interests: His primary research areas include inverse problems in partial differential equations, fractional calculus, and data-driven modeling. He applies these to physical systems such as structural beams and wave propagation, as well as societal applications like crime prediction. His methodological work involves numerical analysis and analytical techniques for nonlinear and non-local equations. Recent Publications Trends: His recent publications (2021–2023) demonstrate a strong focus on inverse problems involving time-fractional equations and coefficient recovery in hyperbolic systems. He also contributes to numerical methods for nonlinear wave equations, particularly using conservative discontinuous Galerkin schemes. These works span journals in applied mathematics, mechanics, and modeling, indicating interdisciplinary impact. CURS Summer Scholars Program Mentor, Center for Undergraduate Research and Scholarship, Augusta University, 2024 CURS Summer Scholars Program Mentor, Center for Undergraduate Research and Scholarship, Augusta University, 2023 CURS Summer Scholars Program Mentor, Center for Undergraduate Research and Scholarship, Augusta University, 2022 Excellence in Research Award, College of Science and Mathematics, Augusta University, 2022 Nominated for the Louis K. Bell Research Award, Augusta University, 2021 Advising and Service: He has mentored undergraduate researchers through the CURS program and the Math Alliance. He serves on numerous committees, including as Chair of the Applied Math Seminar and Technology and Facilities Committee, and as a member of promotion, curriculum, and faculty development committees at departmental, college, and university levels. Laboratories and Teams: While no formal lab is mentioned, he leads the Applied Math Seminar and is actively involved in research collaborations through his publications and professional reviewing activities in journals such as Symmetry , Mathematical Modelling and Analysis , and Applied Mathematics and Mechanics .

Michael Vogeliusمشاهده پروفایل

استاد

• Partial Differential Equations
• Numerical Analysis
• Mathematical Analysis
• +۴ مورد دیگر

Michael Vogelius serves as Board of Governors Professor in the Department of Mathematics at Rutgers University, New Brunswick. He joined the faculty in 1989 after seven years at the University of Maryland, College Park, and has held visiting appointments at Stanford University, École Polytechnique Fédérale de Lausanne, and the University of Copenhagen. His current teaching includes Math 550: Linear Algebra and Applications, and he maintains active research leadership in mathematical analysis. Education: PhD from University of Maryland under advisor Ivo Babuška Postdoctoral training at New York University with George Papanicolaou Research Interests: Professor Vogelius specializes in Partial Differential Equations and Numerical Analysis, with core contributions to blow-up phenomena in nonlinear boundary conditions, scattering effects of small inhomogeneities, metamaterials theory, and non-scattering wave characterization. His work bridges rigorous mathematical analysis with applications in electromagnetic imaging, cloaking technologies, and inverse problems. Recent projects emphasize finiteness of non-scattering wave numbers, crack reconstruction via energy methods, and asymptotic models for thin inhomogeneities in conductive media. Publication Trends: His 2020-2025 publications demonstrate sustained focus on inverse problems and wave scattering in complex media. Key patterns include developing rigorous frameworks for crack reconstruction in Calderón's problem, establishing finiteness results for non-scattering phenomena, and advancing cloaking techniques for broadband and anisotropic settings. These works consistently employ sophisticated asymptotic analysis and error estimation for thin or small-scale defects, reflecting his expertise in connecting theoretical PDE analysis with practical electromagnetic applications. Collaborations and Funding: Vogelius maintains extensive collaborations including Robert V. Kohn (10 publications, 1984-2010), Fadil Santosa (9 publications, 1990-2000), and recent partnerships with Henrik Garde and Matti Lassas (2024). His research is supported by the National Science Foundation through the Division of Mathematical Sciences (DMS), as evidenced by his participation in DMS updates and conference organization. The Mathematics Department website references student advisement and postdoc mentorship, though specific trainee names aren't detailed in the provided text.

• Flight Dynamics
• Synthetic Sensors
• Urban Air Mobility
• +۴ مورد دیگر

Angelo Lerro is a Fixed-term tenure-track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. He specializes in Flight Dynamics , Synthetic Sensors , and Urban Air Mobility , with expertise in Aerospace Engineering and Control Systems . Research interests include synthetic sensor development, flight mechanics, and control algorithms for urban air mobility vehicles. His work spans machine learning applications in aerospace systems and unconventional aircraft configurations . Recent projects involve neural networks for air data systems and nonlinear control models . Publications focus on Kalman filtering , UAV formation control , and VTOL design . Articles highlight advancements in flight data analysis and aerodynamic modeling . Awards : Proof of Concept Network (2015) by Area Park Trieste, Italy Teaching and supervision include PhD courses like Introduction to Flight Experimentation and mentoring students such as Giorgio Antonio Orlando and Gabriele Tarascio. He serves as a Scientific Manager for commercial research projects and Visiting Researcher at UCLA (2011).

• Control Theory
• Linear Systems
• Numerical Analysis
• +۳ مورد دیگر

Dr. Jens Jordan is a lecturer at the Institute of Mathematics, Faculty of Mathematics and Computer Science, University of Würzburg. His office is located in Building 40 (Mathematics East), Room 00.007, on the Hubland Nord campus. He teaches courses including "Introduction to Discrete Mathematics" and "Analysis in Several Variables (Foundations of Analysis 2)". Dr. Jordan's academic background includes: Dissertation: "Reachable Sets of Numerical Iteration Schemes: A System Semigroup Approach" (2008), University of Würzburg Diploma Thesis: "Spektralmengen nichtlinearer Operatoren und Lösbarkeit nichtlinearer Operatorengleichungen" (2000) Dr. Jordan's research spans several interconnected areas in mathematics and control theory. His work primarily focuses on the application of control theory to numerical analysis and linear systems. He has made significant contributions to understanding reachability and controllability of linear systems, particularly over finite fields. His research also explores the intersection of numerical methods with control theory, examining how iterative solution methods for linear systems can be optimized using control principles. Additionally, he investigates the application of algebraic geometry concepts, such as Grassmann manifolds, to control problems. Analysis of Dr. Jordan's publication record reveals a consistent focus on the intersection of control theory and numerical analysis. His work demonstrates a progression from theoretical foundations to practical applications, with particular emphasis on linear systems, reachability analysis, and numerical iteration schemes. The recurring themes across his publications include the application of system theory to solve problems in numerical mathematics, the exploration of geometric structures in control problems, and the development of novel approaches to classical numerical methods through the lens of control theory. Dr. Jordan advises students in the Department of Mathematics at the University of Würzburg. His teaching responsibilities include foundational courses in discrete mathematics and multivariable analysis. While specific grant information is not detailed in the available materials, his research collaborations with prominent scholars like Uwe Helmke, Gunther Dirr, and Julia Lieb suggest involvement in research projects that likely received institutional or external funding. Dr. Jordan is part of the research team at the Institute of Mathematics at the University of Würzburg, where he collaborates with colleagues on projects related to control theory, numerical analysis, and system theory. His work contributes to the institute's broader research efforts in applied mathematics and mathematical systems theory.

John Lataireمشاهده پروفایل

پژوهشگر

• Time Varying Systems
• Frequency Response
• Nonlinear Distortion
• +۹ مورد دیگر

John Lataire is a researcher at the Vrije Universiteit Brussel (VUB) , focusing on system identification, electrochemical impedance spectroscopy, and applications in bionics and biomedical engineering. He leads projects on time-varying systems and nonlinear distortions, collaborating with institutions like KU Leuven, University of Warwick, and others. Key Research Areas: Time Varying Systems, Frequency Response, Electrochemical Impedance Spectroscopy, Bionics His recent publications (2024–2025) explore kernel-based estimation, vibration control for robotic manipulators, and impedance estimation for respiratory systems. These works highlight his expertise in integrating control theory with practical applications in materials science and healthcare. He has also contributed to operando monitoring techniques for aluminum surface treatments and anodizing processes. Scientific Awards: Measurement Science and Technology Award (2009) J. Barry Oakes Advancement Award (2017) Best Junior Presentation Award (2010) IEEE Outstanding Associate Editor (2017) Advising: Supervised PhD projects for Vijayan Prabhu (VUB–KU Leuven joint program) and Hallemans Noël (VUB–University of Warwick), focusing on joint stiffness identification and bionic lower limbs. Labs/Collaborations: Collaborates with teams in Belgium, the Netherlands, and the UK, working on bionics, electrochemical systems, and flexible robotics.