جست‌وجوی استاد و پژوهشگر

• Differential Geometry
• Riemannian Geometry
• Submanifold Geometry
• +۳ مورد دیگر

Miguel Domínguez Vázquez is an Associate Professor at the Department of Mathematics of the University of Santiago de Compostela and a researcher at the Galician Center for Mathematical Research and Technology (CITMAga). His research focuses on differential geometry, particularly on the interplay between symmetry and shape in Riemannian submanifold geometry. He co-organized the 2025 conference 'Symmetry and Shape' celebrating Prof. C. Olmos's 65th birthday. Affiliations: Universidade de Santiago de Compostela, CITMAga, and the Research Group in Mathematics. Projects: Principal Investigator of national project PID2022-138988NB-I00 and Galician Government project ED431F 2020/04. His research interests include isoparametric hypersurfaces, cohomogeneity one actions, and geometric symmetries in symmetric spaces. Recent work includes studies on positive Ricci curvature, Ricci solitons, and geometric boundary problems. He has advised multiple PhD students, including Tomás Otero and Alberto Rodríguez Vázquez, who received the RSME-BBVA Vicent Caselles prize. Notable collaborations include work with Jürgen Berndt, José Carlos Díaz Ramos, and Andreas Kollross. His contributions span over 30 publications in journals like Compositio Math , Advances in Mathematics , and Mathematische Annalen .

Yilun Shangمشاهده پروفایل

دانشیار

• Complex Systems
• Network Science
• Nonlinear Dynamics
• +۷ مورد دیگر

Yilun Shang is an Associate Professor in the Department of Computer and Information Sciences at Northumbria University. Previously, he held an Associate Professor position at Tongji University's School of Mathematical Sciences (2014–2018). His research interests span complex systems, network science, and nonlinear dynamics. He earned a PhD in Applied Mathematics from Shanghai Jiao Tong University in 2010, followed by postdoctoral appointments at institutions including the University of Texas at San Antonio and the Hebrew University of Jerusalem. Shang's work focuses on three core areas: (1) properties of complex networks (e.g., robustness, percolation, epidemic models), (2) mathematical properties of random graph models (e.g., degree distribution, connectivity, algebraic indices), and (3) nonlinear dynamics in multi-agent systems (e.g., synchronization, consensus algorithms). He has organized international conferences and delivered invited talks on topics like Estrada indices in random graphs. His academic achievements include the 2016 Dimitrie Pompeiu Prize and a presentation at the 2018 International Congress of Mathematicians. He advises postgraduate students in complex networks and systems and investigates resilient consensus protocols, graph metrics, and topological indices with applications in chemistry and engineering.

• Algebraic Topology
• Graded Ring Theory
• Cryptography
• +۳ مورد دیگر

Dr. Mohammad Obiedat is a Professor of Mathematics and Computer Science at Gallaudet University, serving as Mathematics Program Director since 2021. Previously, he directed the Information Technology Program (2013–2016). He holds dual Ph.D.s in Mathematics (1998, Middle East Technical University) and Computer Science (2015, George Washington University). His teaching spans courses from Intermediate Algebra to Advanced Calculus and Cryptography, with over 22 years of experience at Gallaudet. Research Focus: Algebraic topology, cryptography, data structures, and Java programming Notable Service: Chair of Faculty Welfare Committee (2013), member of multiple institutional committees Grants: NSF-funded GenCyber Camp, DoD STEM workforce initiatives, and pedagogy innovation projects Education Background: Ph.D. Computer Science, George Washington University (2015) Ph.D. Mathematics, Middle East Technical University (1998) M.S. Computer Science, George Washington University (2007) M.S./B.S. Mathematics, Yarmouk University (1992/1990) Research Interests: Explores intersections between pure mathematics and computational applications Advocates for inclusive STEM education through mentorship and program development Pioneer in undergraduate research mentoring for deaf and hard-of-hearing students Key Contributions: Co-authored book chapter on undergraduate research in mathematics for deaf students Designed Gallaudet's Cryptography curriculum emphasizing active learning Recipient of multiple federal grants supporting STEM education initiatives

Mehmet Ozenمشاهده پروفایل

استاد

• Information and Coding Theory
• Algebra
• Number Theory
• +۴ مورد دیگر

Prof. Dr. Mehmet Ozen is a faculty member at the Faculty of Science, Department of Mathematics, Sakarya University. His research focuses on Information and Coding Theory , Algebra , and Number Theory , with particular emphasis on Quantum Codes , Cyclic Codes , and Finite Rings . Education : Licence from Aegean University (1994), Master's (1998) and Doctorate (2002) from Sakarya University, all in Mathematics. Research Trends : Analysis of modules with S-Noetherian/Artinian properties, construction of perfect codes over finite rings with RT/Mannheim metrics, and quantum code development using Gaussian/Lipschitz integers. Scientific Awards : TÜBİTAK Scientific Publication Incentive Award (2004) TÜBİTAK Award (2006) TÜBİTAK Awards (2011, 2012) Thesis Supervision : Advised doctoral students on topics including quantum codes over Gaussian integers (2011), spotty weight identities (2010), and DNA code algebra (2009).

Murat SARDUVANمشاهده پروفایل

دانشیار

• Matrix Theory
• Linear Algebra
• Numerical Analysis
• +۳ مورد دیگر

Murat SARDUVAN is an Associate Professor in the Department of Mathematics at Sakarya University . His research focuses on matrix theory, linear and multilinear algebra, numerical analysis, and applied mathematics, with particular interest in special matrix types (tripotent, idempotent, involutive) and their linear combinations. Research spans matrix equations, spectral theory, nonsingularity conditions, and nearness problems Published in journals like Journal of Numerical Mathematics , Linear & Multilinear Algebra , and Acta Universitatis Apulensis Supervised 6 graduate theses on matrix combinations and partial orders Awarded Teşekkür Belgesi and Takdir Belgesi for academic contributions

Bartosz Jabłońskiمشاهده پروفایل

پژوهشگر

• Image processing
• Signal filtering
• Motion capture
• +۱ مورد دیگر

Bartosz Jabłoński is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically the Department of Control Systems and Mechatronics . His research focuses on image processing, signal filtering, motion capture, and partial differential equations. Key research trends across his publications include: Development of quaternion-based algorithms for motion processing and clustering Application of multiscale analysis to improve motion capture systems Implementation of anisotropic filtering techniques for rotational trajectory smoothing Integration of agile methodologies in technical education Use of collaborative tools for Parkinson disease diagnosis His work spans both theoretical algorithm development and practical applications in biomedical engineering and educational reform.

Michał Piórekمشاهده پروفایل

پژوهشگر

• Dynamical systems
• Machine learning
• Geospatial data analysis
• +۱ مورد دیگر

Michał Piórek is a researcher in the Department of Computer Engineering at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology. His research focuses on dynamical systems , machine learning , and geospatial data analysis , with applications in urban planning, biomechanics, and nonlinear time series modeling. His work spans multiple domains including: Development of machine learning surrogate models for urban noise prediction Quaternion-based clustering frameworks PCA modifications for geospatial time series Chaos analysis in nonlinear systems Recent publications highlight interdisciplinary applications of his research in environmental science and human motion analysis. Contact: michal.piorek@pwr.edu.pl

Federico Thomasمشاهده پروفایل

استاد پژوهشی

• Robotics
• Kinematics
• Distance Geometry
• +۶ مورد دیگر

Federico Thomas is a Professor of Research at the Spanish National Research Council (CSIC), based at the Institut de Robótica i Informàtica Industrial (IRI), affiliated with the Technical University of Catalonia (UPC), Barcelona, Spain. He has held visiting and invited professorships at the University of Massachusetts, Oxford University, École Centrale de Nantes, and the University of Ferrara. Telecommunications Engineering Degree, 1984, UPC Ph.D. in Computer Science, 1988, UPC NATO Postdoctoral Fellow, University of Massachusetts, 1991 His research lies at the intersection of Geometry and Kinematics , with strong applications in Robotics , Computer Vision , and Computer Graphics . He specializes in Distance Geometry and Clifford Algebras , developing mathematical frameworks for solving complex robotic motion and configuration problems. His work enables precise modeling of mechanisms such as lobster-inspired arms and parallel robots. His recent publications (2022–2025) reveal a deep engagement with geometric computation, focusing on rotation matrices, sphere tangents, ellipse intersections, and singularity analysis in parallel robots. These works consistently apply advanced algebraic and geometric methods to practical robotic challenges, demonstrating a trajectory of theoretical rigor with engineering relevance. His scientific honors include the NATO Postdoctoral Fellowship. He has served as an Associate Editor for IEEE Transactions on Robotics (2005–2009, and currently), ASME Journal of Mechanisms and Robotics (2009–2012, and currently), and The International Journal of Mechanics and Control . Federico Thomas was the former director of IRI. He advises students in robotics and geometry, as indicated by the 'Students' section on his homepage. He has not received major grants explicitly listed, but his sustained publication record and editorial roles suggest continuous research support. His 'Art and Science Tapas' initiative reflects an interdisciplinary outreach effort, blending history, art, and science. He leads research activities within the IRI, particularly in computational robotics and geometric methods. His team likely includes collaborators such as J.M. Porta, S. Sarabandi, and B. Bongardt, with whom he co-authors frequently. The 'Kinematics Virtual Library' and 'Tapas' projects suggest an educational and cultural component to his lab’s mission.

Jiří Žáraمشاهده پروفایل

استاد

• Virtual Reality
• Computer Graphics
• Computational Geometry
• +۳ مورد دیگر

Jiří Žára is a Professor at the Czech Technical University in Prague, currently serving as Head of the Department of Computer Graphics and Interaction within the Faculty of Electrical Engineering. With a career spanning over four decades at the institution, he has held roles from PhD student (1982-1986) through Assistant Professor (1986-1997), Associate Professor (1997-2007), to Full Professor status since 2007. Department Head: 2008-present Computer Graphics Group Leader: 2002-2008 Supervisor: Computer Graphics Laboratory His research focuses on Virtual Reality , 3D Modeling , and Computational Geometry , with particular emphasis on VR educational applications, historical city visualization, and geometric algorithms. He has contributed significantly to VRML standards and interactive visualization techniques. Key research trends evident in his 96+ publications include real-time deformation techniques for 3D models, adaptive caching systems in rendering, and automated colorization algorithms for historical cartoons. His work demonstrates strong interdisciplinary connections between computer graphics , cultural heritage preservation , and educational technology . As academic supervisor, he has guided numerous students including: Ondřej Pluhař (Interactive Tokamak Golem Model, 2011) Daniel Šrám (Virtual Gallery in St. Peter & Paul Church, 2010) Jan Zimandl (Castle Park VRML Tour, 2009) He leads multiple EU-funded projects including: ARiSE (Augmented Reality in School Environments) VHCE (Virtual Heart of Central Europe for cultural heritage) V3C (Visual Computing Competence Center) RCI (Research Center for Informatics)

• Algebra and Number Theory
• Discrete Mathematics
• Sequences and Series
• +۴ مورد دیگر

Prof. Dr. Ömür DEVECİ is a Professor of Mathematics at Kafkas University's Faculty of Arts and Sciences, specializing in Algebra and Number Theory. He holds a PhD from Atatürk University (2010), an MSc from Kafkas University (2007), and a BSc from Atatürk University (2002). His research focuses on sequences such as Fibonacci, Pell, Jacobsthal, and Padovan in group theory, modular arithmetic, and algebraic structures. He has advised over 30 graduate students and led 9 research projects. His work appears in journals like Notes on Number Theory and Discrete Mathematics and Communications in Algebra . Education: PhD: Algebra and Numbers (Atatürk University) MSc: Mathematics (Kafkas University) BSc: Mathematics (Atatürk University) Key Research Areas: Algebraic sequences in finite groups, modular arithmetic, combinatorial identities, and number pattern analysis. Grants & Projects: "Gruplarda Circulant ve Hurwitz Tipli Diziler" (2018-2019) "Arrowhead-Pell ve Arrowhead-Jacobsthal Tipli Diziler" (2017-2019) "Adjacency-Pell ve Adjacency-Jacobsthal Tipli Diziler" (2016-2017)

• Dynamical Systems
• Complex Systems
• Control Theory
• +۲ مورد دیگر

Jean-Jacques Slotine is a Professor at the Massachusetts Institute of Technology (MIT), holding appointments in the departments of Mechanical Engineering, Information Sciences, and Brain Sciences. His research focuses on dynamical systems, control theory, robotics, and computational neuroscience. He is renowned for contributions to adaptive control, nonlinear systems, and contraction theory. Key research interests include the analysis and control of complex systems, with applications in robotics, neural networks, and biological systems. His work combines theoretical rigor with practical implementations, emphasizing stability and robustness in dynamic environments. Recent articles explore topics such as associative memory in neurons, obstacle avoidance in robotics, and quantum dynamics using classical action principles. His publications demonstrate interdisciplinary collaboration across engineering, neuroscience, and physics. No specific student advisees or scientific awards are listed in the provided texts. Active research continues, with a focus on advancing control methodologies for autonomous systems and understanding neural dynamics.

• Machine Intelligence
• Signal Processing
• Machine Learning
• +۶ مورد دیگر

Danilo P. Mandic is a Professor of Machine Intelligence at Imperial College London, Department of Electrical and Electronic Engineering. His research focuses on machine learning, signal processing, and biomedical engineering, with notable contributions to graph data analytics, tensor networks, and wearable sensors. Mandic has supervised numerous students, including those who have won prestigious awards such as the Ivor Tupper Prize and Sir Bruce White Prize. Education: PhD in Nonlinear Adaptive Signal Processing (Imperial College London, 1999). Previously taught at the Universities of East Anglia and Banja Luka. Research Interests: Machine Intelligence, Signal Processing (including EEG/ECG analysis), Wearable Health Technologies, Financial Signal Processing, and Tensor Networks. He has pioneered work on graph signal processing and in-ear biosensors. Key Awards: 2019 Dennis Gabor Award (INNS), 2023 IEEE Engineering in Medicine Prize Paper Award, 2018 IEEE Signal Processing Magazine Best Paper Award. Grants & Labs: Leads projects in neurotechnology, sensor signal processing, and smart grid analysis. Collaborates with industry and international institutions like RIKEN Brain Science Institute. Edited books on complex-valued adaptive filters and recurrent neural networks. Teaching: Courses on signal processing and machine learning. Notable for integrating wearable sensors into curricula. Awarded Imperial College's Excellence in Research Supervision (2014).

Charlotte Chanمشاهده پروفایل

استادیار

• Representation Theory
• Number Theory
• Algebraic Geometry
• +۴ مورد دیگر

Charlotte Chan is an Assistant Professor at the University of Michigan in the Department of Mathematics within the College of Literature, Science, and the Arts. Her research focuses on representation theory, number theory, and algebraic geometry, particularly exploring connections between Deligne-Lusztig theory, supercuspidal representations, and the Langlands program. She has received significant funding including NSF grants DMS-2101837 and DMS-2401114, as well as a Sloan Research Fellowship. Her work involves geometric realizations of L-packets, cohomology of Deligne-Lusztig varieties, and interactions between automorphic forms and Galois representations. She has collaborated extensively with mathematicians such as M. Oi and R. Bezrukavnikov, and has contributed to quadratic forms, local-global principles, and Fourier analysis over finite fields. NSF grant DMS-2101837 NSF grant DMS-2401114 Sloan Research Fellowship She has organized special semesters at institutions like the Sydney Mathematical Research Institute and contributed to educational programs including the Arizona Winter School and Women+ and Mathematics.

Adrian Vajiacمشاهده پروفایل

دانشیار

• Complex and Hypercomplex Analysis
• Clifford Analysis
• Computational Algebra and PDEs
• +۳ مورد دیگر

Dr. Adrian Vajiac is Associate Professor of Mathematics and Program Director for the Faculty of Mathematics at Chapman University’s Schmid College of Science and Technology. His office is located in the Keck Center for Science and Engineering, and he can be reached at avajiac@chapman.edu . Education Bachelor of Science, University of Bucharest Ph.D., Boston University Research Interests Dr. Vajiac’s scholarly work lies at the intersection of pure and applied mathematics, with a strong emphasis on hypercomplex and Clifford analysis. He explores: Complex and Hypercomplex Analysis: classical theory and modern extensions to several complex variables. Clifford Analysis & Quaternionic Analysis: Dirac operators, quaternionic regularity, and slice monogenic functions. Computational Algebraic Methods for PDEs: applying algebraic techniques to study Cauchy-Fueter, Maxwell, and Proca systems. Equivariant Localization in Topological Quantum Field Theory: Mathai–Quillen formalism and Seiberg–Witten invariants. Foundations of Geometry: Hilbertian axiomatic approaches to Euclidean and non-Euclidean geometries. Mathematics and Physics Education: integrating modern research into undergraduate curricula and teacher training. Recent Scholarly Output Between 2016 and 2023, Dr. Vajiac has co-authored influential works that advance quaternionic and bicomplex analysis, introduce new algebraic-geometric structures termed “script geometry,” and derive Bernstein-type inequalities in multicomplex settings. These publications collectively deepen the theoretical foundations of hypercomplex function theory and open avenues for applications in quantum theories and geometric modeling. Scientific Awards No specific awards or honors are listed in the provided materials. Advising & Grants No explicit lists of students or funded grants are provided in the text. Laboratories & Teams While no dedicated laboratory is mentioned, Dr. Vajiac is affiliated with the Mathematics group within Schmid College of Science and Technology and serves as Program Director for the Faculty of Mathematics, indicating leadership in curricular and scholarly initiatives.

Mihaela Vajiacمشاهده پروفایل

استاد

• Complex Analysis
• Hypercomplex Analysis
• Differential Geometry
• +۳ مورد دیگر

Mihaela Vajiac is a Professor and Program Director for Mathematics at Chapman University's Schmid College of Science and Technology. She serves as Director of the Center of Excellence in Complex and Hypercomplex Analysis (CECHA) and organizes the Math/Physics/Computation Seminar. Her educational background includes a Ph.D. from Boston University and a B.S. from the University of Bucharest. Dr. Vajiac's research spans: Complex/Hypercomplex Analysis : Investigating Dirac-type operators, quaternionic systems, and applications in physics and engineering. Algebraic Computational Methods : Developing algebraic tools for PDEs including Maxwell and Cauchy-Fueter systems. Differential Geometry : Exploring integrable systems, curvature invariants, and symplectic structures. Her recent publications focus on bicomplex tensor products, spectral factorization in hypercomplex spaces, and geometric invariants, reflecting sustained innovation in operator theory and Clifford analysis. She co-organizes international workshops like IWOTA 2021 and maintains active collaborations with global researchers.