جست‌وجوی استاد و پژوهشگر

Francesca Mazziaمشاهده پروفایل

استاد

• Numerical Methods
• Ordinary Differential Equations
• Parallel Computing
• +۳ مورد دیگر

Francesca Mazzia is a Full Professor in the Department of Computer Science at the University of Bari (UniBA), Italy. She is a leading expert in numerical methods for differential equations and computational mathematics. Office: Campus - Via Orabona, 4 Bari, Department of Computer Science, fifth floor, room no. 565 Contact: +39 0805443291 | francesca.mazzia@uniba.it Personal website: http://archimede.uniba.it/~mazzia Research Interests: Numerical methods for Ordinary Differential Equations (IVP and BVP) Linear and nonlinear stability properties Parallel implementation techniques Saliency and change detection for hyperspectral images Quasi-interpolation methods Stability and conditioning of linear systems Parallel algorithms for large linear systems Notable Contributions: Co-author of the book Solving Differential Equations in R (Springer, 2012) Developer of the TOM MATLAB solver for boundary value problems Contributor to the QIBSH library and TestSets for IVP/BVP solvers Active participant in international conferences like SCICADE 03 Software Tools: TOM (Top Order Method) for ODE boundary value problems Integration with pde2path for optimal control problems Open-source contributions to MATLAB and R ecosystems

Richard Mitchellمشاهده پروفایل

استاد

• Cybernetics
• Artificial Intelligence
• Control Engineering
• +۴ مورد دیگر

Professor Richard Mitchell is a Professor of Cybernetics at the University of Reading, affiliated with the Department of Computer Science. He serves as the Assessment Lead and School Director of Technology Enhanced Learning. He holds a BSc (Hons) and PhD from the University of Reading, becoming a professor in 2015. His research focuses on Cybernetics, Artificial Intelligence, Control Engineering, Robotics, and Technology-Enhanced Learning, with over £2m in research grants, including Knowledge Transfer Partnership (KTP) projects. Notably, he led a KTP project with Red-Whale awarded 'Best KTP in the UK' in 2021. Teaching includes courses on Cybernetics, AI, Robotics, Neural Networks, and Gaia Theory. He developed interactive web pages for the FutureLearn MOOC Begin Robotics , enhancing student engagement. Awards include a University Teaching Fellowship (2011) and Senior Fellow of the Higher Education Academy (2014). Administratively, he has held roles such as Head of Department and Examinations Officer. He contributes to professional societies like the Thames Valley IET and IEEE Systems, Man, and Cybernetics Society Chapter.

John Yao-Chon Chenمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Optimal Control
• +۳ مورد دیگر

John Yao-Chon Chen is a Professor at Toronto Metropolitan University, where he has been since 1988. He holds a B.A.Sc. from the University of Ottawa and M.A.Sc./Ph.D. degrees from the University of Waterloo. He is a Professional Engineer (P.Eng.) licensed in Ontario. His research focuses on robotics control systems, including optimal control methodologies, fault diagnosis in robotic systems, trajectory planning, and obstacle avoidance strategies. He has contributed to foundational work in the application of numerical methods like B-splines for robot motion control. Key publications span topics from neural network-based fault diagnosis (1996) to time-optimal control structures (1989), demonstrating consistent engagement with core robotics challenges. His work bridges theoretical control systems and practical robotic implementation.

Chaoying Peiمشاهده پروفایل

استادیار

• Non-convex optimization
• Quadratically Constrained Quadratic Programs (QCQPs)
• Optimal control
• +۳ مورد دیگر

Dr. Chaoying Pei is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Missouri University of Science and Technology. Her work focuses on optimization, control systems, and machine learning applications in aerospace engineering. She holds a Ph.D. in Aeronautics and Astronautics from Purdue University, along with master’s and bachelor’s degrees in Inertial Technology and Navigation from Beihang University. She also brings industry experience in autonomous driving technology. Her research interests include non-convex optimization, quadratically constrained quadratic programs (QCQPs), optimal control for space exploration, machine learning integration, and distributed computing. Notable projects involve real-time fuel-optimal guidance systems, reinforcement learning for optimization engines, and trajectory design for spacecraft entry. Dr. Pei has contributed to over 20 publications since 2015, emphasizing algorithmic advancements in control systems, trajectory optimization, and autonomous systems. Her work often bridges theoretical optimization with practical aerospace applications, such as landing guidance and atmospheric entry systems. No scientific awards are explicitly listed, but her prolific research output highlights her technical contributions. Her academic background includes diverse education in inertial technology and navigation, complemented by industry experience in autonomous driving. She has not listed advisees or grants in the provided text, but her research themes suggest involvement in collaborative projects involving distributed optimization and machine learning.

Thomas Hobigerمشاهده پروفایل

استاد

• Satellite Navigation
• Inertial Navigation
• Sensor Fusion
• +۷ مورد دیگر

Thomas Hobiger is a Professor and Head of the Institute of Navigation at the University of Stuttgart, Germany, and serves as Dean of Studies for Geodesy and Geoinformatics under Faculty 6: Aerospace Engineering and Geodesy. His research focuses on satellite navigation, inertial navigation systems, sensor fusion, and geodetic applications such as precise orbit determination and GNSS meteorology. He leads a team developing high-precision positioning solutions for autonomous vehicles and airspace surveillance systems. Hobiger holds a PhD from Vienna University of Technology (2005) and has held tenured positions at institutions including Chalmers University of Technology (Sweden) and Japan’s National Institute of Information and Communications Technology (NICT). Notable awards include the AGU Geodesy Section Award (2018) and the NVIDIA Global Impact Award (2016 finalist). He is actively involved in editorial roles for journals like Journal of Geodesy and holds leadership positions in international geodetic organizations. Research interests span navigation hardware/software development, real-time kinematic positioning, and interdisciplinary projects combining GNSS with meteorology and oceanography. His work emphasizes practical applications through collaborations with industry and space agencies, such as JAXA and ESA.

Gregor Gantnerمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +۴ مورد دیگر

Gregor Gantner is a researcher at TU Wien's Department of Numerical Analysis and Partial Differential Equations, part of the Faculty of Mathematics and Geoinformation. He holds a Dipl.-Ing. and Dr.techn. in technical mathematics. His primary research focuses on adaptive numerical methods for partial differential equations (PDEs), particularly boundary element methods (BEM), isogeometric analysis (IGA), and finite element methods (FEM). He investigates topics such as a posteriori error estimation, optimal computational complexity, and convergence analysis of adaptive algorithms. Key research themes include: Design and implementation of adaptive algorithms for BEM and FEM systems Integration of isogeometric analysis with hierarchical B-splines Development of optimal convergence frameworks for nonlinear PDEs Analysis of computational costs and efficiency in adaptive methods Notable contributions include: Establishing rate optimality of adaptive FEM with respect to computational costs Stable MATLAB implementations of adaptive IGABEM techniques Advancements in (h-h/2)-type error estimators for FEM He has advised master's candidates Juliana Kainz (2019) and Stefan Schimanko (2016) on isogeometric BEM applications. His work bridges theoretical foundations with practical implementation, emphasizing algorithmic efficiency and mathematical rigor.

Volker Schwiegerمشاهده پروفایل

استاد

• Geodesy
• Engineering Geodesy
• Integrative Computational Design and Construction
• +۴ مورد دیگر

Volker Schwieger is a Professor at the Institute of Engineering Geodesy , affiliated with the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart . As a Principal Investigator in the Cluster of Excellence IntCDC, he focuses on integrating geodetic measurement technologies into computational design and construction workflows, with emphasis on robotic control, 3D scanning, and quality modeling. Key research areas: Geodesy, Computational Design, Robotics in Construction, Quality Assurance Notable projects: RP 16-1 (Robotic Assembly), RP 18-1 (Holistic Quality Model), AP 7 (Space-Time Point Cloud Modeling) Recent publications demonstrate his work in terrestrial laser scanning (TLS) for deformation analysis, point cloud processing algorithms, and holistic quality models for sustainable construction. He collaborates with institutions like Technical University of Munich and contributes to applications in bio-composites, timber structures, and climate-resilient urban planning. His methodological innovations include patch-based M3C2 analysis and supervoxel registration techniques. Despite extensive research output, no specific awards or educational background details are mentioned in the provided texts.

Tilo Arensمشاهده پروفایل

مدرس

• Inverse Problems
• Numerical Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Dr. Tilo Arens is a Lecturer at the Institute for Applied and Numerical Mathematics , part of the Karlsruhe Institute of Technology (KIT) . His research focuses on numerical methods for scattering problems , particularly involving electromagnetic waves , chiral scatterers , and inverse scattering problems . He actively contributes to the Working Group 4: Inverse Problems and collaborates on projects within the CRC 1173 Wave Phenomena . His teaching portfolio includes courses such as Higher Mathematics II for engineering disciplines, Optimization Theory , and Scattering Theory . He also supervises bachelor’s and master’s theses on topics like Approximation of rotation-minimizing frames using B-spline curves and Numerical methods for integral equations . Dr. Arens has authored numerous publications on inverse scattering, integral equations, and computational methods. Notable works include studies on monotonicity-based shape reconstruction , high-order numerical methods for bi-periodic structures , and electromagnetic chirality measurement . His research intersects with applied mathematics, physics, and computational science. He previously collaborated on a student seminar with Heisenberg-Gymnasium Karlsruhe to bridge university and secondary education in mathematics. His habilitation (2010) and PhD (2000) are in electromagnetic and elastic wave scattering, respectively.

Griffith Boyceمشاهده پروفایل

استاد

• Computational mathematics
• Applied mathematics
• Cardiovascular physiology
• +۴ مورد دیگر

Griffith Boyce is a Professor of Mathematics and Biomedical Engineering at the University of North Carolina at Chapel Hill (UNC), with an adjunct appointment in Applied Physical Sciences. He serves as Associate Chair for Research in the Department of Mathematics and leads the Cardiovascular Modeling and Simulation Laboratory. His affiliations include the Carolina Center for Interdisciplinary Applied Mathematics, Computational Medicine Program, and McAllister Heart Institute at UNC School of Medicine. Dr. Griffith earned his BA and BS in Mathematics from Rice University (2000), followed by a PhD in Mathematics from New York University (2005). He completed postdoctoral training at NYU (2005-2008) before joining NYU as faculty (2008-2014), then UNC in 2014. His research focuses on developing computational tools to predict cardiovascular physiology and pathology through fluid-structure interaction (FSI) modeling. Key applications include cardiac hemodynamics, bioprosthetic heart valves, ventricular assist devices, and thrombosis in atrial fibrillation. His group advances the immersed boundary (IB) method and maintains the IBAMR software infrastructure for adaptive mesh refinement in FSI problems. Recent publications highlight innovations in divergence-free numerical methods, viscoelastic flow modeling, and patient-specific cardiovascular simulations. His team's work spans from fundamental FSI algorithms to clinical translation in medical device design. Dr. Griffith collaborates with clinicians, engineers, and computational scientists across academia, industry, and regulatory agencies. His lab includes PhD alumni like Marshall Davey, Charles Puelz, Aaron Barrett, and Cole Gruninger, alongside current researchers. The Cardiovascular Modeling and Simulation Laboratory develops open-source software and interdisciplinary frameworks for predictive biomedical simulations. Their research integrates mathematical modeling, high-performance computing, and experimental validation to address cardiovascular disease mechanisms and therapy optimization.

Thomas Eibertمشاهده پروفایل

استاد

• High-Frequency Engineering
• Electromagnetic Modeling
• Antenna Design
• +۳ مورد دیگر

Prof. Thomas Eibert holds the position of Full Professor of High-Frequency Engineering at the Technical University of Munich (TUM), part of the TUM School of Computation, Information and Technology. His academic journey includes a doctorate from the University of Wuppertal (1997), research at the University of Michigan (USA), and roles at Deutsche Telekom's Technology Center and the Fraunhofer Institute. Specializing in high-frequency electromagnetic processes, his research focuses on novel antenna technologies, electromagnetic modeling algorithms, and field transformation techniques. Key contributions include advancements in near-field imaging, inverse source solutions, and microwave sensor systems. Notable awards include the Best Measurement Paper Award at EuCAP (2020, 2019), the ESA Antenna Workshop's Best Innovative Paper (2013), and the VDE ITG Literature Prize (2008). His work bridges theoretical developments with practical applications in automotive antennas, radar systems, and environmental impact analysis of antenna performance. Current research emphasizes UAV-based measurement systems and low-frequency stabilization methods for electromagnetic simulations. Education: Doctorate in Electrical Engineering (University of Wuppertal, 1997) Professional Roles: Head of Fraunhofer Institute's Antennas and Scattering Department (2002–2005), Professor at University of Stuttgart (2005–2008) Research Groups: Active in the Department of Electrical Engineering, collaborating on projects involving radar imaging, antenna design, and electromagnetic field transformations. Publications span journals such as IEEE Transactions on Antennas and Propagation, focusing on topics like phase retrieval, decoupling networks, and frequency-selective surfaces. His lab develops practical measurement frameworks for large-scale antenna systems and environmental resilience testing.

Daniel J Bodonyمشاهده پروفایل

استاد

• Fluid-material coupling
• High-enthalpy flows
• Jet noise reduction
• +۷ مورد دیگر

Professor Daniel J. Bodony is a faculty member at the University of Illinois at Urbana-Champaign (UIUC), holding roles such as Blue Waters Professor of Aerospace Engineering and Associate Dean for Graduate Programs in the Grainger College of Engineering. He leads the Aeroacoustics and Flow Physics Research Group, focusing on hypersonic flows, fluid-structure interactions, and computational fluid dynamics. His academic positions include affiliations with the Materials Research Lab, National Center for Supercomputing Applications (NCSA), and Mechanical Science and Engineering. Education: Ph.D. (2005) and M.S. (1999) from Stanford and Purdue Universities, respectively. Research expertise spans aeroacoustics, hypersonics, and data-driven modeling. His work addresses jet noise reduction, thermal protection systems, and plasma jet dynamics. He has received awards such as the NSF CAREER Award (2012) and UIUC’s Rose Teaching Award (2022). Key research interests include fluid-material coupling in high-enthalpy flows, compressible turbulence, and large-scale parallel computing. His grants and collaborations involve the DoD, NASA, and Sandia National Lab. He advises multiple Ph.D. students and postdocs, including Sandeep Murthy (2025) and Fabian Dettenrieder (2024). He teaches advanced courses like AE 451 Aeroelasticity and AE 598 CAA. Service roles include leadership in professional societies (AIAA Fluid Dynamics Technical Committee, APS Division of Fluid Dynamics). His lab’s recent projects include extreme-scale simulations of hypersonic flows and data-driven control of multi-physics systems.

Kasso Okoudjouمشاهده پروفایل

استاد

• Time-frequency analysis
• Pure harmonic analysis
• Applied harmonic analysis
• +۷ مورد دیگر

Kasso Okoudjou is a Professor and Chair of the Department of Mathematics at Tufts University. His academic career spans both pure and applied mathematics with a focus on harmonic analysis and its applications. Education: PhD, Mathematics, Georgia Institute of Technology, 2003 MS, Electrical Engineering, Georgia Institute of Technology, 2003 Maîtrise es Sciences Mathematiques, National University of Benin, 1996 Professor Okoudjou's research interests lie in pure, applied and computational harmonic analysis, especially wavelet analysis, frame theory, and time-frequency analysis of pseudo-differential equations. He is also deeply interested in spectral analysis on fractals and graphs and their applications to data sciences. More recently, he has developed growing interests in mathematics education, particularly in active learning methods for lower-level math courses and broadening participation of underrepresented minorities in undergraduate research in mathematical sciences. His recent publications demonstrate a strong focus on frame theory on graphs, spectral decimation techniques, quantum walks, and time-frequency analysis. The research trends show an increasing integration of fractal analysis with graph theory and quantum information science, while maintaining strong foundations in classical harmonic analysis. Scientific Recognition: Principal Investigator for National Science Foundation grants DMS-2205771 and DMS-2309652 Co-organizer of the 2020 Gene Golub SIAM Summer School (held in 2021 at AIMS South Africa) Author of the book "Modulation Spaces: With Applications to Pseudodifferential Operators and Nonlinear Schrodinger Equations" (2020) Professor Okoudjou has advised numerous PhD students including Martin Buck, Shuang Guan, Matthew Hirn, Clare Wickman, Matt Begué, Chae Clark, Ganiou Atindéou, and Shujie Kang. He has also mentored postdocs such as Jens Christensen, Xuemei Chen, Divyang Bhimani, Gamal Mograby, and Christopher Dock. His teaching portfolio includes advanced courses like Real Analysis, Functional Analysis, and Point Set Topology. He leads two main research groups: one focused on frame theory in finite-dimensional Euclidean spaces, and another developing calculus on fractals such as the Sierpinski triangle.

Ram V Iyerمشاهده پروفایل

استاد

• Systems and Control Theory
• Smart Materials and Structures
• Hysteresis Modeling
• +۵ مورد دیگر

Ram V. Iyer is a Professor in the Department of Mathematics and Statistics at Texas Tech University (College of Arts and Sciences). His research spans systems and control theory, smart materials modeling, biomedical optics, and cybersecurity of networked critical infrastructure systems. Education: Indian Institute of Technology, Bombay (undergraduate scholarship 1986-1990) Appointments: Program Committee roles (SPIE, IEEE, SIAM) and editorial/reviewing duties Research interests include: Smart Materials: Hysteresis modeling in magnetostrictive actuators, energy harvesting schemes with University of Sannio. Biomedical Applications: Custom contact lenses for keratoconic patients, smoothing spline methods for corneal reconstruction, low-Reynolds capillary flow analysis. Cybersecurity: Physical constraints-based defense for infrastructure systems (pipelines, smart grids). Control Systems: Hypersonic/autonomous vehicle control, insect-vision inspired navigation sensors. Recent publications focus on corneal imaging algorithms, hysteresis compensation, UAV control under wind conditions, and biharmonic modeling for contact lenses. Scientific awards include multiple Air Force Fellowships, Phi Beta Kappa Professor of the Year (2008, 2015, 2018), and NSF grants for cybersecurity and biomedical research. Advises PhD and MS students in control theory, magnetostrictive systems, and ocular aberration correction. Collaborates with University of Sannio (Italy) through the MATH in ITALY program, teaching math courses in Benevento while incorporating cultural excursions (Pompeii, Amalfi Coast). Holds inventions like the Hybrid Motor and patents related to contact lens design.

Gantumur Tsogtgerelمشاهده پروفایل

دانشیار

• Applied Mathematics
• Partial Differential Equations
• Numerical Analysis
• +۳ مورد دیگر

Gantumur Tsogtgerel is an Associate Professor in the Department of Mathematics and Statistics at McGill University. His research focuses on applied mathematics, with a strong emphasis on partial differential equations (PDEs), numerical analysis, and computational methods. He explores topics such as fluid dynamics, semiconductor models, geometric analysis, and mathematical physics. His work often involves developing and analyzing numerical techniques for solving complex PDE systems, such as finite element methods and polyharmonic splines. He also contributes to theoretical aspects of geometric PDEs, including curvature problems and the Einstein constraint equations. Dr. Tsogtgerel's research spans interdisciplinary areas, combining analytical rigor with computational innovation. Notable themes in his recent work include the study of relaxation limits in semiconductor hydrodynamics, geometric PDEs on manifolds, and adaptive numerical schemes for fluid dynamics models. His methods address challenges in accuracy, convergence, and efficiency, with applications ranging from ocean circulation modeling to general relativity. No scientific awards or grants are explicitly listed in the provided texts. His academic contributions are centered on advancing theoretical frameworks and numerical tools for solving real-world problems in applied mathematics and physics.

• Statistical Modeling
• Biostatistics
• Environmental Data Analysis
• +۴ مورد دیگر

Prof. Vito Michele Rosario Muggeo is a Full Professor in the Department of Economics, Business and Statistics at the University of Palermo. His research focuses on statistical modeling, biostatistics, environmental data analysis, and regression techniques. He teaches courses such as Statistical Inference/Statistics 2 and Statistical Methods. Active in academic evaluations, his work spans over two decades with publications in statistical methodologies, public health, and environmental science. Notable contributions include advancements in segmented regression, quantile regression, and applications in healthcare and ecology. His research often involves collaboration with international journals and conferences, addressing topics like cardiovascular health in cancer survivors and pandemic modeling. He is also involved in software development for statistical analysis, contributing R packages like 'segmented' and 'quantregGrowth'. Education & Professional Experience: - Full Professor at University of Palermo (STAT-01/A) - Active in teaching and research since at least 2000, evidenced by publications from 2000s onward. Research Interests: - Development of statistical methodologies for complex data structures. - Applications in public health, oncology, and environmental studies. - Quantile regression, penalized regression, and segmented modeling techniques. Recent Article Trends: - Focus on pandemic analysis (Covid-19 monitoring), cardiovascular outcomes in leukemia survivors, and innovative statistical tools for predictive modeling. Grants & Advising: - No explicit grants listed, but extensive collaboration in research projects across disciplines. - Advises on statistical methodologies via software development (R packages).