جست‌وجوی استاد و پژوهشگر

Henry Africkمشاهده پروفایل

استاد

• Mathematical Logic
• Mathematics Education
• Geometry

Dr. Henry Africk is a Professor of Mathematics at the School of Arts & Sciences, New York City College of Technology. With a career spanning decades, he has made significant contributions to mathematical logic and mathematics education. Bachelor's in Mathematics from Columbia University (1964) Master's in Mathematics from the University of Illinois (1966) Ph.D. in Mathematics from the University of Illinois (1970) Second Master's in Electrical Engineering with a focus on Computer Science from NYU Polytechnic University (1974) His research interests primarily center on Mathematical Logic , including proof theory and logical systems. Additionally, his work extends to Mathematics Education and Geometry , as evidenced by his publications and NSF-funded projects. Dr. Africk's publications span both theoretical and applied domains. His research in logic includes foundational work on interpolation theorems and classical/intuitionistic logic. He has also authored geometry textbooks and developed educational software, reflecting his commitment to innovative teaching methods. Notably, he has contributed over 200 reviews to the American Mathematical Society's Mathematical Reviews . Dr. Africk served as the Chair of the Mathematics Department from 1997 to 2014 and directed a National Science Foundation CAUSE project (1980–1983) focused on improving student progress through computer-assisted instruction. He has taught a wide range of courses, including MAT 1175, MAT 1272, MAT 1275, MAT 1372, MAT 1375, MAT 1475, MAT 1575, MAT 2440, MAT 2540, MAT 2580, MAT 2630, MAT 2675, MAT 2680.

• Computer Networks
• Edge Computing
• Telecommunications
• +۳ مورد دیگر

Salvador Alcaraz Carrasco serves as an Associate Professor in the Department of Computer Engineering at Miguel Hernández University of Elche's School of Engineering. His office is located in the Computer Technical Architecture Laboratory within the Alcudia Building (1st floor), and he maintains active teaching responsibilities across multiple programs. His research centers on the IoT-edge-cloud continuum , with significant contributions to network function virtualization, edge computing orchestration, and vehicular network resource management. His work bridges theoretical protocol design (including formal algebraic specifications) with practical implementations for real-time edge services. Teaching innovations form another critical dimension of his work, particularly in network engineering education and academic tutoring systems. Professor Alcaraz coordinates core networking courses including Computer Networks , Fundamentals of Telecommunications Networks , and Network Protocol Engineering for both Bachelor's and Master's programs. His publication trends reveal a strategic evolution from educational infrastructure (diskless Linux terminals) through protocol specification toward contemporary edge computing challenges, demonstrating sustained engagement with networking technology advancements over two decades. As a member of the IoT-edge-clOud cOnTiNuum research group, he focuses on orchestration and validation frameworks for distributed computing environments. His tutorial sessions (Wednesdays 09:30–14:30) and laboratory instruction emphasize hands-on network design and modeling, particularly through the Tools for Designing and Modeling Networks and Services course in the Telecommunications Engineering Master's program.

Alex Dugasمشاهده پروفایل

دانشیار

• Representation Theory of Algebras
• Category Theory
• Homological Algebra
• +۷ مورد دیگر

Alex Dugas is an Associate Professor in the Department of Mathematics at the University of the Pacific. He received his PhD from UC Berkeley in 2006 and a BS from Stanford University in 2000. His research focuses on the Representation Theory of Algebras, utilizing tools from category theory and homological algebra to explore connections with algebraic geometry, commutative algebra, and theoretical physics. His recent publications address topics such as silting theory, tilting mutation, and periodic resolutions in symmetric and cluster-tilted algebras. Education: PhD, UC Berkeley (2006) BS, Stanford University (2000) Research Interests: Dugas investigates the interplay between abstract algebraic structures and their concrete representations, particularly in the context of weakly symmetric algebras, stable categories, and Calabi-Yau dimensions. His work bridges representation theory with homological algebra, category theory, and combinatorics. Teaching Philosophy: He emphasizes mathematical inquiry and problem-solving, encouraging students to engage with examples, patterns, and logical justification through interactive lectures and group work.

Erin Claire Carsonمشاهده پروفایل

استادیار

• Numerical Linear Algebra
• Parallel Computing
• High-Performance Computing
• +۷ مورد دیگر

Erin Claire Carson is an Assistant Professor at the Department of Numerical Mathematics, Faculty of Mathematics and Physics, Charles University, Prague. A specialist in numerical linear algebra and high-performance computing, she leads the ERC Starting Grant project InEXASCALE focused on exascale algorithms. Her research explores mixed precision arithmetic, communication-avoiding Krylov subspace methods, and stability analysis in finite precision. Ph.D., University of California, Berkeley (2015) Courant Instructor, New York University (2015-2018) Postdoctoral Researcher and PRIMUS Fellow, Charles University (2018-2022) Dr. Carson's work bridges theoretical analysis with practical implementations for supercomputers. Her recent publications include advancements in low-synchronization orthogonalization, silent error detection, and multilevel sampling techniques. She received the 2025 Wilkinson Prize from SIAM for outstanding contributions to numerical analysis. Current trends in her research involve: Exploiting mixed precision arithmetic for algorithm acceleration Developing stable communication-avoiding Krylov methods Optimizing numerical stability in GPU-based solvers Understanding error propagation in multistage refinements Scientific honors: 2025 SIAM Wilkinson Prize in Numerical Analysis and Scientific Computing 2023 ERC Starting Grant recipient 2019-2022 PRIMUS Research Fellow She supervises PhD and Master’s students while teaching advanced courses in numerical linear algebra and high-performance computing. Her work has been featured in WIRED and Forbes Czech Republic for improving supercomputer algorithms.

Davide Crippaمشاهده پروفایل

پژوهشگر

• History of Mathematics
• Philosophy of Mathematics
• Mathematical Education History
• +۳ مورد دیگر

Davide Crippa is a Researcher at the Institute of Philosophy of the Czech Academy of Sciences, where he serves as Principal Investigator for the project LQ300092401 "Unlocking mathematics: Teaching and learning practices in the Habsburg lands: 1750s-early 1800s" funded by the Czech Academy of Sciences. His work focuses on the history and sociology of mathematics with particular emphasis on mathematical education practices and knowledge circulation during the early modern period. Dr. Crippa received his PhD in 2014 from the University of Paris Diderot (Paris 7) with a dissertation titled "Impossibility Results from Geometry to Analysis." He is the author of the book "The Impossibility of Squaring the Circle in the 17th Century" published by Birkhauser in 2019, and has edited significant works including "The Algebrization of Mathematics during the 17th and 18th Centuries. Dwarfs and Giants, Centres and Peripheries" (2024). His research explores the transmission and transformation of mathematical knowledge across geographical and institutional boundaries, with special attention to Central Europe and the Habsburg lands. Dr. Crippa investigates how mathematical ideas were taught, practiced, and documented in historical contexts, examining textbooks, examination practices, and institutional frameworks that shaped mathematical education. His work reveals the complex interplay between mathematical theory and pedagogical practice in historical settings. Dr. Crippa's publications demonstrate a consistent focus on mathematical practices during the 17th-19th centuries, with particular expertise in geometric problem-solving, algebraic methods, and educational practices. His recent work examines Latin mathematical compendia from 18th century Prague, Christian Wolff's mathematical methodology, and the algebrization of mathematics across European centers and peripheries. As Principal Investigator of his current project, Dr. Crippa leads research investigating mathematical education practices in the Habsburg Empire during the long 18th century. His work has been supported by multiple grants from the Czech Science Foundation (GA ČR) and the Czech Academy of Sciences, reflecting the significance of his contributions to understanding historical mathematical practices in Central Europe.

• Mathematics Education
• Teacher Education
• Mathematical Reasoning
• +۳ مورد دیگر

Marit Buset Langfeldt serves as Senior Lecturer in Mathematics at the Department of Teacher Education, Norwegian University of Science and Technology (NTNU), Trondheim. She instructs primary school teacher training programs in Mathematics 1 (1-7), Mathematics 2 (1-7), and programming-focused courses like LÆR2003, while previously teaching Mathematics 1 (5-10) and continuing education for in-service teachers. Education: Master of Science in Mathematics, NTNU (2016), thesis: "Triangulated Categories and Matrix Factorizations" Her research investigates mathematical reasoning and argumentation in primary classrooms, emphasizing how teachers facilitate discussions that develop students' proof skills. She examines digital tool integration in mathematics education and pre-service teachers' identity formation through collaborative planning, with active involvement in the ProPrimEd project (2020-2024) developing primary-level reasoning resources. Publication analysis reveals consistent focus on mathematical argumentation in teacher education, with recent expansion into computational thinking via robotics. Her work bridges theory-practice through resources like ARiL (role-play simulations) and Fuggelmyra (virtual school environment), targeting primary mathematics instruction and teacher development. No scientific awards are documented in the source material. Student advising and grant funding details are absent from provided information. Langfeldt co-leads the "Learning and teaching mathematics with digital tools" and "Teaching practices in mathematics teacher education" research groups, collaborating with primary schools on resource testing. Her digital outputs include WeBabble (programming tool), Matematisk argumentasjon i grunnskolen (teacher resource package), and simulated classroom platforms for pedagogical training.

• Mathematics Education
• Reasoning and Proof in Primary Education
• Teacher Education Practices
• +۲ مورد دیگر

Kristin Krogh Arnesen is an Associate Professor in Mathematics Didactics at the Department of Teacher Education of the Norwegian University of Science and Technology (NTNU). She can be contacted at kristin.arnesen@ntnu.no and is based in Trondheim, Norway. Education : PhD in algebra (NTNU, 2015), Master’s in mathematics, PPU (practical-pedagogical education) with mathematics and computer science as teaching subjects. Research Focus : Mathematical reasoning, proof practices, and classroom discourse in primary and teacher education. She is a key member of the Teaching Practices in Mathematics Teacher Education research group and contributed to the NFR-funded ProPrimEd project (2020–24) on reasoning and proof in primary education. Recent Publications explore pre-service teacher training through role-plays, systematic reviews on induction, and digital tools for argumentation. Her work bridges abstract algebra with pedagogical innovation.

Farshid Agharebparastمشاهده پروفایل

دانشیار

• Data Communications
• Mobile Computing
• Wireless Networks
• +۳ مورد دیگر

Farshid Agharebparast serves as an Associate Professor Teaching in the Department of Electrical and Computer Engineering at the University of British Columbia's Faculty of Applied Science. His academic career is anchored in data communications networks and mobile computing, with active contributions to the Communication Systems Research Group specializing in Data Communications. Education: BSc, University of British Columbia MASc, University of British Columbia PhD, University of British Columbia Dr. Agharebparast's research explores stochastic network calculus applications for wireless performance evaluation, cross-layer design in fading channels, and QoS provisioning. His work bridges theoretical frameworks like min-plus algebra with practical challenges in 4G handover privacy, bandwidth allocation in WiMAX, and traffic shaping for unreliable channels. These investigations address critical needs in next-generation mobile infrastructure where latency guarantees and resource efficiency are paramount. His teaching encompasses core engineering subjects including Circuit Analysis (ELEC 201), Operating Systems (CPEN 331), Computer Networking (ELEC 331, CPEN 400N), and multiple design studio courses (ELEC 291, CPEN 291). This portfolio demonstrates deep engagement with both foundational theory and hands-on implementation across electrical and computer engineering curricula. Scientific Awards: No awards documented in source materials Through design studio courses and undergraduate teaching assistantships, Dr. Agharebparast mentors emerging engineers in practical system development. His publication trajectory from 2001-2022 indicates sustained research activity in network performance modeling, though specific grant funding details remain unreported. His work consistently targets real-world wireless challenges including video streaming optimization and privacy-preserving mobility management. Affiliated with UBC's Communication Systems Research Group, he contributes to a collaborative ecosystem focused on data communications innovation. Current investigations appear centered on stochastic performance bounds for modern wireless architectures, extending his two decades of scholarship in network calculus applications.

• Mathematics
• Combinatorics
• Nonassociative Algebras
• +۳ مورد دیگر

Eugenio Manuel Fedriani Martel is a full professor at the University of Pablo de Olavide, Spain, affiliated with the Department of Economics, Quantitative Methods and Economic History. His research bridges mathematics and economics, focusing on Lie algebras , graph theory , and quantitative methods in business . Key Contributions : Classification of complex filiform Lie algebras, infinite graph embeddings in tubular surfaces, and applications of Euclidean geometry to socioeconomic problems. Interdisciplinary Work : Combines mathematical rigor with entrepreneurial policy analysis, poverty measurement, and educational technology. Research Trends derived from 16 publications (2001–2025) include: Mathematical : Combinatorics, nonassociative algebras, computer science applications. Applied : Entrepreneurial survival strategies, ECTS teaching reforms, multidimensional poverty indicators. Students & Collaboration : Co-authored extensively with Luis Boza Prieto and Juan Núñez-Valdés, contributing to collective works like "A historical review of the classifications of Lie algebras" (2013).

Alex Wolpertمشاهده پروفایل

استاد

• Theoretical Computer Science
• Theory of Algorithms and Complexity
• Machine Learning
• +۲ مورد دیگر

Alex Wolpert is a Professor in the Department of Computer Science at Roosevelt University's College of Science, Health and Pharmacy. His expertise spans theoretical computer science, algorithm design, complexity theory, and deep learning applications to combinatorial optimization problems. Contact: Office: AUD 336A | Phone: 312-281-3120 Education: Ph.D. in Mathematical Foundations of Computer Science (1991) from St. Petersburg State University; M.S. in Computer Science (1978) from St. Petersburg State Polytechnic University. His research focuses on: Theoretical computer science foundations Algorithm complexity analysis Deep learning for combinatorial problem-solving Machine learning theory and applications Teaching: Courses include Data Mining, Deep Learning, Advanced Algorithms, Game Theory, Intelligent Systems, Information Retrieval, Introduction to Algorithms, Programming with Python, Linear Algebra, and Elementary Statistics.

• Mathematical Biology
• Developmental Biology
• Systems Biology
• +۳ مورد دیگر

Professor Nick Monk is a faculty member at the School of Mathematical and Physical Sciences, University of Sheffield. His research spans mathematical biology, developmental biology, and systems biology, with a focus on modeling regulatory processes in biological systems. Monk's work explores dynamical systems theory, including pattern formation, gene regulatory networks, and cellular signaling. His publications analyze phenomena such as Turing reaction-diffusion models, Notch signaling robustness, and plant developmental processes. Recent research trends include applications of mathematical modeling to developmental gene networks, computational ecology, and industrial biotechnology. His teaching activities cover advanced calculus, linear algebra, and mathematical biology. Current grants include the EPSRC Maths DTP 2020 and EPSRC Research Associateship, alongside past funding for biofuel production via microbubble technology. Monk's research group specializes in mathematical biology, and his full contact details are available via the University of Sheffield's website.

Simon Willertonمشاهده پروفایل

مدرس ارشد

• Low-dimensional topology
• Quantum physics applications in topology
• Knot theory
• +۶ مورد دیگر

Dr. Simon Willerton is a Senior Lecturer in Pure Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. He has been at the University of Sheffield since 2002, after holding various research positions including a Royal Society Research Fellowship in Melbourne and an EU Marie Curie Fellowship in Strasbourg. He has held visiting positions at UC San Diego, UC Riverside, and the Autonomous University of Barcelona. Dr. Willerton completed his PhD at the University of Edinburgh in 1997. His academic journey began with a temporary lectureship at Edinburgh, followed by research fellowships in Melbourne and Strasbourg, and a Research Associate position at Heriot-Watt University. His career demonstrates a strong commitment to mathematical research and education in the UK and internationally. Dr. Willerton's research spans multiple interconnected areas of pure mathematics. His primary interests lie at the intersection of topology, category theory, and metric geometry. He has made significant contributions to the study of magnitude of metric spaces, a concept that provides a measure of the "size" of a space that incorporates both its geometric and topological properties. His work on enriched category theory has provided new perspectives on metric spaces and their generalizations. Additionally, he has conducted important research in low-dimensional topology, particularly in the areas of knot theory and quantum invariants, building on connections between quantum physics and topological structures. His extensive publication record reveals a consistent focus on the magnitude of metric spaces and related concepts, with applications ranging from biodiversity measurement to geometric analysis. The progression of his work shows a movement from traditional knot theory and quantum invariants toward more categorical approaches to metric geometry. His collaborations with researchers like Richard Hepworth, Tom Leinster, and others have produced influential results that bridge different mathematical disciplines. Senate Award for Excellence in Teaching and Learning (2009) for work with Eugenia Cheng on using YouTube in teaching mathematics Dr. Willerton is actively involved in PhD supervision, with several current and former students working on topics related to enriched category theory, metric spaces, and quantum algebra. He co-founded The Catsters with Eugenia Cheng, producing educational YouTube videos on category theory that have reached a wide audience. His teaching innovations, particularly in using digital media for mathematical education, have been recognized with university awards. As a member of the topology research group at Sheffield, Dr. Willerton contributes to a vibrant mathematical community. His work on the n-Category Café blog and other outreach activities demonstrates his commitment to making advanced mathematical concepts accessible to broader audiences.

Janet Chenمشاهده پروفایل

مدرس ارشد

• Mathematics Education
• Calculus
• Multivariable Calculus
• +۴ مورد دیگر

Janet Chen serves as a Senior Lecturer (Senior Preceptor) in Harvard University's Department of Mathematics, based at Science Center 429. She plays a pivotal role in training graduate student teaching fellows and developing innovative undergraduate mathematics curriculum across calculus sequences and advanced topics. Her pedagogical expertise spans: Active Learning Systems : Creation of 3D manipulatives and in-class worksheets for Math 1b (integration/series/differential equations) and Math 21a (multivariable calculus), including Mathematica applets like the Taylor Polynomial Grapher Abstract Algebra Pedagogy : Development of "Group Theory and the Rubik's Cube" teaching materials for intensive short courses Visual Mathematics : Research-grade fractal visualizations of Mandelbrot/Julia sets presented at academic camps All educational resources are shared under Creative Commons licensing to promote open-access mathematics education. She mentors graduate teaching fellows in pedagogical techniques while maintaining active classroom instruction responsibilities.

Joseph Dortaمشاهده پروفایل

استادیار

• Geometric Representation Theory
• Hyperplane Arrangements
• Topological Robotics
• +۵ مورد دیگر

Joseph Dorta is an Assistant Professor in the Department of Mathematical Sciences at the United States Military Academy at West Point . His work bridges pure and applied mathematics, with a focus on geometric representation theory, hyperplane arrangements, and their applications in robotics and education. Ph.D., Mathematics, Louisiana State University (2024) M.S. and B.S., Mathematics, University of Georgia Dorta’s research in pure mathematics centers on geometric representation theory and hyperplane arrangements, while his applied mathematics projects explore motion planning for UAS (Unmanned Aircraft Systems), topological robotics, and algebraic reasoning in teaching. He also investigates connections between mathematics and art, particularly in the work of Vladimir Nabokov. His recent work includes the publication Monoidal structures on generalized polynomial categories (2023), which explores algebraic structures in category theory. Other projects in preparation, such as extending the modular Springer correspondence to symplectic groups and studying hyperplane arrangement detectability, highlight his interdisciplinary approach. At West Point, Dorta serves as an Officer representative for the men’s handball team, demonstrating his engagement beyond research.

Youssef Diouaneمشاهده پروفایل

دانشیار

• Numerical Optimization
• Surrogate Modeling
• Data Science
• +۵ مورد دیگر

Youssef Diouane is an Associate Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal, Canada. Previously, he was a professor in the Department of Complex Systems and Engineering (DISC) at ISAE-SUPAERO in Toulouse, France. He is a member of the Research Group in Decision Analysis (GERAD) and serves as an associate editor for the journal "Computational Optimization and Applications" as well as a guest co-editor for a special issue of "Mathematical Programming" related to the 25th International Symposium on Mathematical Programming. Dr. Diouane's research focuses on numerical optimization and its applications to complex systems, design, and data sciences. His work targets the development of efficient optimization algorithms with optimal guarantees to solve engineering optimization problems. His primary research areas include: Numerical Optimization Surrogate Modeling Data Science and Machine Learning Computational Science and Engineering His recent publication record (57 total publications) demonstrates a strong focus on optimization techniques applicable to aerospace engineering, particularly aircraft design. There's a clear trend toward addressing high-dimensional optimization problems with mixed and categorical variables, often using Bayesian optimization approaches. His work bridges theoretical optimization methods with practical engineering applications, especially in sustainable transport and green aircraft design, reflecting his secondary spheres of excellence in Sustainable Transport and Infrastructures and Industry of the Future and Digital Society. Dr. Diouane has successfully supervised multiple graduate students, including two Master's theses at Polytechnique Montréal completed in 2022 and 2024. His teaching responsibilities include courses on scientific computing for engineers, operational research foundations, and derivative-free optimization, reflecting his commitment to both theoretical and applied aspects of optimization.