جست‌وجوی استاد و پژوهشگر

Riccardo Bevilacquaمشاهده پروفایل

استاد

• Spacecraft Formation Flight
• Space Robotics
• Warhead Fragment Fly-Out Predictions
• +۳ مورد دیگر

Riccardo Bevilacqua is a Professor of Aerospace Engineering and Interim Associate Dean at Embry-Riddle Aeronautical University. He holds a Ph.D. in Applied Mathematics (2007) and M.Sc. in Aerospace Engineering (2002) from Sapienza University of Rome. Research focuses: Spacecraft formation flight, space robotics, warhead fragment prediction Key methodologies: Machine learning, adaptive control, functional analysis His recent publications address machine learning for spacecraft deorbiting, flexible structure modeling, and hypervelocity fragment propagation. Notable projects include CubeSats for advanced control testing and NASA collaborations. Scientific Awards : Air Force/ONR Young Investigator Awards Dave Ward Memorial Lecture Award Air Force Summer Fellowships (multiple) As an educator, he teaches graduate-level courses like AE 800: Dissertation and AE 700: Thesis Research . Leads the Advanced Autonomous Multiple Spacecraft Laboratory (ADAMUS).

• Robotics
• Control Systems
• Medical Robotics
• +۵ مورد دیگر

Rui Cortesao is a Professor at the University of Coimbra, where he leads the Medical Robotics Group at the Institute of Systems and Robotics (ISR-UC) and directs the IPN-LAS technology transfer lab. His work bridges healthcare and Industry 4.0 through collaborative robotic systems. Education: B.Sc. in Electrical Engineering (1994), M.Sc. in Systems and Automation (1997), Ph.D. in Control and Instrumentation (2003) from University of Coimbra Research spans robotics, control systems, and biomedical engineering, with a focus on medical robotics, haptic teleoperation, and human-robot skill transfer. His projects integrate compliant motion control, data fusion, and stiffness estimation for surgical and industrial applications. Recent publications highlight advancements in radiomics for medical imaging, impedance control architectures, noise analysis in robotic representations, and dynamics identification. These works emphasize applications in micro-drilling, tele-echography, and cardiac surgery robotics, reflecting his expertise in real-time adaptive control and human-robot collaboration. Projects include: PrintONorgans: Bioinks for organ printing TOOLING4G: Smart manufacturing tools ROSE: Robotic sensing for tele-echography He serves as Associate Editor for ICRA and IROS, major robotics conferences, and has industry partnerships for technology transfer in collaborative robotics.

Alessandro Tasoraمشاهده پروفایل

استاد

• Theoretical Mechanics
• Numerical Methods in Multibody Dynamics
• Robotics
• +۷ مورد دیگر

Alessandro Tasora is a Full Professor at the University of Parma in the Department of Industrial Engineering and Department of Engineering and Architecture . He directs the Digital Dynamics Lab and serves as Scientific Director of the Smart Production Lab 4.0 . His work spans theoretical mechanics, robotics, and high-performance computing. Director, Digital Dynamics Lab (2019–present) Scientific Director, Smart Production Lab 4.0 (2017–present) National Scientific Qualification for Full Professor (2016) Honorary Associate, University of Wisconsin-Madison (2009–present) Research focuses on non-smooth multibody dynamics , GPU-accelerated simulation , and industrial robotics . He developed the Chrono::Engine software for multibody physics and HyperOCTANT for NLCP problems. His work addresses granular flows in nuclear reactors, vehicle mobility on deformable terrain, and historical structural analysis. Key article trends include GPU-based HPC for large-scale simulations, cone complementarity in contact dynamics, and isogeometric beam formulations for flexible bodies. Collaborations with Argonne National Laboratory and Fraunhofer ITWM highlight his international impact. Top-SNIP Paper (2017) International CAE Conference Poster Award (2015) Best Paper, Asian Conference on Multibody Dynamics (2010) TOP4 Paper, RAAD Robotics Workshop (2011) He has supervised over 40 theses in automation, tribology, and robotics. Grants include FFABR-MIUR , US Army RIF , and CNR projects . Projects involve seismic protection, autonomous AGVs, and Industry 4.0 consulting.

• Nonlinear Differential Equations
• Fractional Calculus
• Mathematical Biology
• +۳ مورد دیگر

Juan Jose Nieto Roig is a Professor at the University of Santiago de Compostela (USC) in Spain, affiliated with the Department of Statistics, Mathematical Analysis and Optimization, and the Faculty of Mathematics. He is part of the research group EDNL (Nonlinear Differential Equations) and the Galician Mathematical Research and Technology Center (CITMAga). His research focuses on nonlinear differential equations, fractional calculus, mathematical biology, epidemiological modeling, and optimal control theory. Recent work includes studies on fractional differential operators, stochastic processes, and applications in climate science, epidemiology, and engineering. Publications Highlights: Explores fractional calculus in diverse contexts, including epidemiological models (e.g., Nipah virus, malaria) and reaction kinetics. Develops control strategies for complex systems, such as neural networks and stochastic systems with delays. Applies mathematical models to environmental challenges (e.g., global warming impacts on marine ecosystems). Awards: No awards explicitly mentioned in the provided texts. Grants and Labs: Active in interdisciplinary research through CITMAga, focusing on nonlinear dynamics and real-world applications.

Jingzhi Tieمشاهده پروفایل

استاد

• Analysis
• Applied Mathematics
• Harmonic Analysis
• +۷ مورد دیگر

Jingzhi Tie is a Professor and Associate Department Head in the Department of Mathematics at the University of Georgia, within the Franklin College of Arts and Sciences. He is an active faculty member with a long-standing research program in analysis and applied mathematics. His research interests lie primarily in Analysis and Applied Mathematics , with a focus on harmonic analysis, sub-Riemannian geometry, subelliptic partial differential equations (PDEs), and complex analysis on the Heisenberg group. He frequently employs Laguerre calculus and pseudo-differential operator methods in his work, studying fundamental solutions, heat kernels, spectral projections, and boundary value problems in non-isotropic and CR geometries. The 15 most recent publications reflect a strong continuity in his research themes, particularly the analysis of differential operators on nilpotent Lie groups such as the Heisenberg and Engel groups. His work bridges pure and applied mathematics, with recent forays into financial mathematics involving optimal trading rules under switchable market models. The publications appear in prestigious journals such as Journal of Differential Geometry , Mathematische Annalen , and Communications in PDEs . Jingzhi Tie has not been publicly recognized with scientific awards in the provided text. He advises and mentors students, though specific names are not listed. He has taught a wide range of courses including Ordinary Differential Equations, Partial Differential Equations, Real and Complex Analysis, and Calculus, indicating active engagement in both undergraduate and graduate education. There is no mention of external grants, but his sustained publication record suggests research support. He has been affiliated with several prestigious mathematical institutes such as the Fields Institute, CRM, MSRI, and the Institute for Advanced Study, reflecting broad recognition in the mathematical community.

Jeffrey Geمشاهده پروفایل

استاد

• Robotics
• Mechanical Engineering
• Kinematics
• +۳ مورد دیگر

Jeffrey Ge is a Professor in the Department of Mechanical Engineering at Stony Brook University, where he has been a faculty member since 1993. He has held leadership roles including Undergraduate Program Director, Deputy Chair, Interim Chair, and Chair of the department. His research focuses on CAD/CAM, Machine Design, and Robotics, with an emphasis on geometric and motional challenges. He is a Fellow of ASME and has held significant editorial roles, including co-editor of the ASME Journal of Mechanical Design and founding Editor-in-Chief of ASME Letters in Translational Robotics. Notable awards include the ASME Mechanisms and Robotics Award (2021) and the ASME AT Yang Memorial Award (2022). Education: Ph.D., University of California, Irvine (1990); M.S., University of Pennsylvania (1986); B.S., Shanghai Jiao Tong University (1985) in Mechanical Engineering and Electrical Engineering. Professional Experience: Department of Mechanical Engineering, Stony Brook University (1993–present); University of New Orleans (1991–1993). Leadership: Chair of ASME Mechanisms and Robotics Committee, Chair of ASME Design Engineering Division, and Chair of the USCToMM (2012–2016) and IFToMM Constitution Committee (1999–2023). His research explores motion interpolation, linkages, and robotics applications, with recent work addressing kinematic confidence regions, spatial displacements, and medical robotics. His publications span topics like motion synthesis, geometric modeling, and uncertainty quantification in mechanical systems. Awards: ASME Mechanisms and Robotics Award (2021), ASME AT Yang Memorial Award (2022), Fellow of ASME. Editorial Roles: Co-editor of ASME Journal of Mechanical Design (2021–2024), founding Editor-in-Chief of ASME Letters in Translational Robotics.

Irina Markinaمشاهده پروفایل

استاد

• Sub-Riemannian Geometry
• Sub-Lorentzian Geometry
• Partial Differential Equations (PDE)
• +۵ مورد دیگر

Irina Markina is a Professor at the Department of Mathematics, University of Bergen. Her research focuses on Sub-Riemannian and Sub-Lorentzian geometry, Partial Differential Equations (PDEs), and geometric analysis. She has contributed to studies on geometric control theory, Lie groups, and their applications in physics and mathematical physics. Her work spans theoretical frameworks like the analysis of measure-preserving diffeomorphism groups, Stokes graphs in the Rabi problem, and harmonic maps into sub-Riemannian Lie groups. She has led the NordForsk Research Network 'Analysis and Applications', promoting Nordic collaboration in analysis. Key research areas include ultra-hyperbolic operators on pseudo H-type groups, classification of pseudo H-type algebras, and geometric problems on Stiefel/Grassmann manifolds. Her grants include funding from NordForsk, Norwegian Research Council, and Chilean agencies. She has supervised doctoral theses, including those by Anastasia Frolova and Mauricio Godoy Molina.

Karol Koziolمشاهده پروفایل

استادیار

• Representation Theory
• Langlands Program
• p-adic Reductive Groups
• +۴ مورد دیگر

Karol Koziol is an Assistant Professor in the Mathematics Department at Baruch College, City University of New York (CUNY), where his office is located in the Newman Vertical Campus. His research focuses on various aspects of the (local) Langlands Program, specifically representation theory of p-adic reductive groups, associated Hecke algebras, and Galois representations. His work is partially supported by NSF grant DMS-2310225. Dr. Koziol's academic journey includes: Ph.D. from Columbia University under Rachel Ollivier Undergraduate degree from NYU NSF Postdoctoral Fellowship at University of Toronto with Florian Herzig EPDI Postdoctoral Fellowship at Institut des Hautes Études Scientifiques and Max Planck Institute Postdoctoral positions at University of Michigan and University of Alberta His research bridges algebra, number theory, and representation theory with significant contributions to understanding modular representations of p-adic groups. Dr. Koziol's work examines supersingular representations, Hecke module structures, and cohomological aspects of representation theory in characteristic p, advancing knowledge in the modular local Langlands correspondence. Analysis of his publications reveals consistent focus on representation theory of p-adic groups across multiple dimensions: structural properties of Hecke algebras, cohomological behavior of representations, classification problems for specific group types, and connections to broader Langlands program objectives. His collaborative work with leading mathematicians demonstrates strong integration within the international research community. As an educator, Dr. Koziol teaches Elementary Probability (Math 3120) and Graph Theory (Math 4140) at Baruch College. He has mentored multiple undergraduate researchers through REU programs on topics including modular representations of division algebras and quaternion algebras, often collaborating with other prominent mathematicians like Tasho Kaletha and Charlotte Chan. Dr. Koziol actively contributes to the mathematical community through organizational roles including: Co-organizing the Baruch Distinguished Lecture Series Co-founding the CARTOON (Cross Atlantic Representation Theory and Other topics ONline) conference Participating in POINT: New Developments in Number Theory Contributing to MANTIS 2021 and other specialized workshops Preparing materials for the 2025 Arizona Winter School

• Medical Imaging
• Artificial Intelligence
• Biomedical Engineering
• +۳ مورد دیگر

Adam Piórkowski is an Associate Professor at AGH University of Science and Technology, affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. He works in the Department of Biocybernetics and Biomedical Engineering, focusing on interdisciplinary research at the intersection of artificial intelligence, medical imaging, and biomedical engineering. Education: PhD, DSc, Eng. Collegial Roles: Member of the Faculty College, Rector's Ethics Committee, and Biomedical Engineering Discipline Council His research centers on medical image processing, with recent work exploring AI-driven diagnostics, texture analysis in CT/MRI images, and biometric authentication systems. He has pioneered quaternion-based filtering techniques for image enhancement and developed machine learning models for automated disease assessment in radiographs. Key trends in his publications include advancements in CT/MRI image quality assessment, applications of deep learning in musculoskeletal imaging, and innovations in cancelable biometric systems for IoT security. His work bridges computational methods with clinical applications, particularly in bone age assessment and cardiovascular imaging. Contact: pioro@agh.edu.pl | Office: C-3, 2nd floor, room 206 | Website: http://home.agh.edu.pl/~pioro

• Discontinuous ordinary differential equations
• Functional analysis
• Hypercomplex and quaternionic analysis
• +۷ مورد دیگر

Vincenzo Recupero is an Associate Professor at the Department of Mathematical Sciences (DISMA) , Politecnico di Torino . His research focuses on mathematical analysis and its applications to complex systems. Scientific Branch : MATH-03/A - Mathematical Analysis ERC Sectors : Analysis, Application of mathematics in sciences, Mathematical physics, ODE and dynamical systems, Operator algebras SDG Goals : Quality education (Goal 4), Reduced inequalities (Goal 10) His research interests include partial differential equations for phase transitions (Penrose-Fife and Stefan models), quaternionic functional analysis in noncommutative frameworks, and rate independent processes like Moreau’s sweeping processes. These are applied to elastoplasticity, economic theory, crowd motion modeling, and electric circuits. The 9 recent articles highlight his expertise in Mathematical Analysis , Partial Differential Equations , and Operator Theory . Key trends include continuity methods for sweeping processes, BV solutions in variational inequalities, and advancements in quaternionic semigroups and Clifford algebras. Recupero teaches Mathematical Analysis II and Mathematical Methods for Engineering to undergraduate and graduate students. He has held research positions at Tongji University (2013). Conference Roles : Program committee, International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2025) Chairman, Summer School on Multi-Rate Processes (2017, 2019) He contributes to the Nonlinear Analysis and Calculus of Variations research group and explores connections between hypercomplex analysis and quantum mechanics .

Sven Buchholzمشاهده پروفایل

استاد

• Applied Computer Science
• Data Management
• Data Mining
• +۶ مورد دیگر

Prof. Dr.-Ing. Sven Buchholz serves as a Professor in the Department of Computer Science and Media at Brandenburg University of Technology in Brandenburg an der Havel, Germany. His office is located in Building C, Room C.2.18 at Magdeburger Straße 50, with contact information including telephone +49 3381 355-482 and email sven.buchholz@th-brandenburg.de. Specializing in Applied Computer Science , Prof. Buchholz focuses on data management and data mining with a distinctive research trajectory in geometric algebra applications. His scholarly work demonstrates expertise across multiple domains including neural network architectures using Clifford algebra, solving complex partial differential equations, protein structure prediction, and computer vision systems. The evolution of his research shows progression from foundational theoretical work on Clifford neurons in the early 2000s to increasingly interdisciplinary applications in recent years. Analysis of his publication history reveals a significant research focus spanning over 15 years, with a notable resurgence of activity in 2024. His recent work demonstrates sophisticated applications of geometric algebra to solve challenging problems across physics (Maxwell's equations, Navier-Stokes equations), molecular biology (protein structure prediction), and robotics (camera pose estimation). This interdisciplinary approach connects mathematical theory with practical implementations in scientific computing and artificial intelligence. Prof. Buchholz maintains an active research profile with multiple high-impact publications in 2024, indicating ongoing contributions to the advancement of geometric algebra applications in computational science. His work bridges theoretical mathematics with practical machine learning implementations, contributing to both academic knowledge and potential real-world applications in scientific computing and data analysis.

Fiacre Ó Cairbreمشاهده پروفایل

دانشیار

• Mathematics Education
• Dynamical Systems
• Control Theory
• +۳ مورد دیگر

Fiacre Ó Cairbre is an Associate Professor in the Department of Mathematics and Statistics at Maynooth University (Faculty of Science & Engineering). He holds a Ph.D. in Mathematics from the University of California, Berkeley. His research bridges Mathematics Education and Dynamical Systems, with a focus on historical context, public engagement, and control theory. Key themes include Hamiltonian mechanics, switching systems, and the pedagogical value of mathematical storytelling. 2014–2016: Publications on Hamilton Walk's educational impact 2007–2010: Works on control theory and stability analysis 2001–2004: Contributions to dynamical systems and bifurcation theory He has authored books on calculus for Maynooth University and collaborated on projects like the Hamilton Walk, promoting mathematics outside the classroom. His email is fiacre.ocairbre@mu.ie .

• Differential Geometry
• Mathematical Physics
• Kinematics
• +۳ مورد دیگر

GÜL TUĞ is an Associate Professor in the Department of Mathematics at Karadeniz Technical University's Faculty of Science, specializing in differential geometry and mathematical physics. She has held academic positions at KTU since 2010, progressing from Research Assistant to Associate Professor. Education: PhD in Mathematics, Karadeniz Technical University (2011-2017) Postgraduate studies at Ankara University (2008-2010) and KTU (2010-2011) BSc in Mathematics, Ankara University (2004-2008) Research Interests: Her work focuses on geometric structures in relativistic spaces, including lightlike manifolds, accretive growth kinematics, and curve evolution in Minkowski spacetime. She explores applications in mathematical biology and physics through differential geometry frameworks. Publication Trends: Her 14 recent articles predominantly investigate kinematic surface growth, lightlike hypersurfaces, and curve evolution in Lorentz-Minkowski spaces, blending theoretical mathematics with physics applications. Research consistently utilizes Darboux frames, quaternionic methods, and geometric flow models. Advising: Supervised postgraduate research on Ricci solitons in lightlike hypersurfaces (2021). No significant grants or lab affiliations documented.

FAIK BABADAĞمشاهده پروفایل

دانشیار

• Algebra
• Number Theory
• Quantum Calculus
• +۶ مورد دیگر

Associate Professor Faik Babadağ is affiliated with the Faculty of Engineering and Natural Sciences in the Department of Mathematics , specializing in Algebra and Number Theory . His research focuses on advanced mathematical structures, including number sequences, quaternions, and dual spaces, with applications in quantum calculus and differential geometry. Recent publications highlight his work on Tessarine numbers , split quaternions , and Bicomplex matrices , integrating quantum calculus and polar representations. Articles from 2023–2025 explore connections between number theory, matrix analysis, and geometric transformations in semi-Euclidean and dual spaces. While no specific awards or student advising details are provided in the text, his contributions to mathematical sciences are evident through his extensive publication record and collaborations in specialized fields.

• Control Theory
• Mathematical Modeling
• Signal Processing
• +۲ مورد دیگر

Mykola Volodymyrovych Yefymenko is a Professor and Head of the Department of Computer Systems and Networks at Zaporizhzhia Polytechnic National University. He holds a Doctor of Technical Sciences degree and has been active in academia since 2004. Education: Dnipropetrovsk State University (1978), Automatic Control Systems Academic Achievements: Candidate's thesis (1999) and Doctoral dissertation (2000) on spacecraft orientation control His research interests focus on control theory of complex dynamic systems , modeling methods , and signal processing . His work addresses spacecraft orientation, including algorithms for magnetic stabilization and time-optimal spatial reversal. Recent publications emphasize mathematical models using Rodrigo-Hamilton parameters for spacecraft dynamics. Scientific Honors: Cabinet of Ministers of Ukraine Award for Innovative Technologies (2013) He teaches automatic control theory and digital signal/image processing . Contact: 41, Zhukovsky St., Zaporizhia, Ukraine; rector@zp.edu.ua .