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Vivienne SzeView profile

Professor

• Energy-Efficient Machine Learning
• Computer Vision
• Video Compression/Processing
• +7 more

Vivienne Sze is a Professor at MIT's Department of Electrical Engineering and Computer Science (EECS), part of the School of Engineering. Her research focuses on energy-efficient computing systems for machine learning, computer vision, and video compression, with applications in autonomous systems, healthcare, and IoT. She leads projects integrating algorithmic innovations with hardware design to achieve low-power solutions for embedded and mobile devices. Her work has been recognized through prestigious awards, including the Primetime Engineering Emmy Award for co-developing the HEVC video compression standard and multiple faculty awards from tech giants like Google and Qualcomm. She co-authored the book *Efficient Processing of Deep Neural Networks*, emphasizing practical hardware-software co-design strategies. Research Interests: Energy-Efficient Machine Learning Accelerators Video Coding and Compression Standards Embedded Systems and Mobile Computing Processing-in-Memory (PIM) Architectures AI for Health Monitoring and Digital Health Sustainability in AI Infrastructure Publications highlight trends in: Optimizing DNNs for edge devices Innovations in entropy coding and CABAC Memory-efficient Gaussian-based algorithms Energy-aware design for photonic computing Awards include IEEE conference best paper awards and industry recognitions for her contributions to video coding and hardware acceleration. Her lab's collaborative efforts span academia and industry, aiming to bridge theoretical research with real-world deployable systems.

• Materials Science
• Computational Chemistry
• Density Functional Theory
• +3 more

Michael Herbst is an Assistant Professor (tenure-track) at EPFL, holding a joint appointment in the School of Basic Sciences (SB) and the School of Engineering (STI). He leads the Mathematics for Materials Modelling (MatMat) research group, focusing on error control in atomistic simulations, density-functional theory (DFT), and interdisciplinary computational methods. His work bridges mathematics, materials science, and computer science, emphasizing robust algorithms and Julia-based software development. Herbst holds a PhD from Heidelberg University and has held postdoctoral positions at RWTH Aachen and Inria Paris. He is a core member of the MARVEL and CESMIX research centers. Education: 2018: Dr. rer. nat. (magna cum laude), Heidelberg University 2009–2013: BA and MSci (1st class) in Natural Sciences, University of Cambridge 2008–2009: Studies in Mathematics/Physics, TU Kaiserslautern Research Interests : Herbst's research centers on developing reliable computational methods for materials modeling, including error estimation in DFT, black-box SCF algorithms, and Julia-based tools like the Density-Functional Toolkit (DFTK). His work addresses challenges in high-throughput simulations, numerical stability, and interdisciplinary collaboration across mathematics, physics, and computer science. Grants & Projects : MARVEL Center for Computational Design (EPFL) CESMIX Center for Extreme-Scale Simulations (MIT) EMC² Project (Sorbonne/Inria/École des Ponts) Awards : HGS MathComp PostDoc Fellowship (2018–2021) DAAD Travel Funding (2018) Exploratory Research Space Fund (RWTH Aachen, 2022) Labs & Teams : Head of the MatMat group at EPFL, focusing on error-controlled simulations and open-source software development.

• Internet of Things (IoT)
• Telecommunications
• Coding and Information Theory
• +5 more

Associate Professor Mahyar Shirvanimoghaddam is a distinguished academic at The University of Sydney's School of Electrical & Computer Engineering, specializing in IoT, Telecommunications, and Coding Theory. His research focuses on 6G communication strategies, ultra-reliable low-latency systems, and machine learning integration in wireless networks. He holds a PhD from The University of Sydney and has received multiple accolades, including the World Economic Forum's Young Scientist award (2018) and the Australian Award for University Teaching (2020). Education: B.Sc. (1st Class Honors) in Electrical Engineering, University of Tehran (2008) M.Sc. (1st Class Honors) in Electrical Engineering, Sharif University of Technology (2010) PhD in Electrical Engineering (Telecommunications), The University of Sydney (2015) Research Interests: IoT Communication Protocols, Rateless Coding, Non-Orthogonal Multiple Access (NOMA), 5G/6G Technologies, and Federated Learning in Wireless Networks. His work on channel coding for massive IoT and URLLC has been funded by ARC Discovery Projects and European Research Council grants. He pioneered the 'Idea Factory' interdisciplinary teaching project, blending engineering and business education. Key projects include designing 6G communication strategies (ARC 2022-2024) and robust coding for mission-critical communications (ARC 2019-2021). Awards: Over 20 awards, including teaching excellence (Vice-Chancellor's Awards 2019, 2022), research recognition (IEEE Best Paper Awards), and leadership roles in IEEE and the Higher Education Academy. He supervises 1 PhD student (Tyseer BASHIR) and actively engages in editorial roles for IEEE Transactions and other journals. His team's innovations aim to bridge technological and societal challenges in IoT and smart infrastructure.

Leonard Van WykView profile

Professor

• Geometric Group Theory
• Knot Theory
• Algebra
• +2 more

Leonard Van Wyk is a Professor in the Department of Mathematics & Statistics at James Madison University (JMU), holding roles as Assistant AUH and C&I Chair. His research focuses on Geometric Group Theory and Knot Theory, with notable contributions to subgroup analysis and knot classification. He has advised multiple undergraduate researchers through JMU's REU programs. Education: PhD in Mathematics (Geometric Group Theory), SUNY Binghamton (1993) MA in Algebra, University of California, Berkeley (1983) BA in Physics and Mathematics, SUNY Potsdam (1980) Research Interests: Explores geometric and algebraic structures within groups, knot invariants, and collaborative research with students. His work bridges abstract algebra with topological visualization, emphasizing spiral knots and subgroup dynamics. Publications: Focus on advancing knot theory through REU collaborations (e.g., spiral knots classification) and geometric group theory (e.g., Σ-invariants in graph groups). Recent work emphasizes interdisciplinary applications of knot structures. Awards: None explicitly listed. Grants/Advising: Supervised student projects resulting in peer-reviewed publications; no grants mentioned.

David B. MasseyView profile

Professor

• Singularity Theory
• Algebraic Geometry
• Complex Analysis
• +2 more

David B. Massey is a Full Professor in the Department of Mathematics at Northeastern University, where he has been a faculty member since 1991 after joining as a regular faculty member following his National Science Foundation Postdoctoral Research Fellowship. Education: Bachelor's degree in Mathematics from Duke University (1977-1981), summa cum laude Ph.D. in Mathematics from Duke University (1981-1986) Professor Massey specializes in singularity theory , particularly complex analytic singularities, with research spanning algebraic geometry , topology , and complex analysis . His foundational work focuses on perverse sheaves, Milnor fibers, vanishing cycles, and stratified Morse theory, significantly advancing understanding of non-isolated singularities and Lê cycles. His methodologies integrate topological invariants with algebraic structures to solve complex problems in hypersurface singularities. Recent publications (2021-2024) reveal a concentrated exploration of numerical perverse sheaves, polar multiplicities, and real links, alongside innovative applications to hypersurface singularities. His work on Milnor fibers, Betti numbers, and monodromy demonstrates consistent advancement through stratified Morse theory, with notable contributions to Minkowski inequalities and non-isolated singularity analysis. Scientific awards: National Science Foundation Postdoctoral Research Fellowship (1991) Multiple teaching awards at Northeastern University Professor Massey has advised numerous graduate students throughout his career and founded the Worldwide Center of Mathematics, LLC in 2008, which has provided significant research support and educational resources. His work has been sustained by continuous grant funding including his early NSF fellowship and ongoing institutional support. He leads the Worldwide Center of Mathematics, LLC, an independent research organization dedicated to advancing mathematical knowledge through publications, conferences, and educational outreach since its founding in 2008.

Misha FeiginView profile

Professor

• Integrable Systems
• Mathematical Physics
• Algebra
• +6 more

Misha Feigin is a Professor of Mathematics at the University of Glasgow's Department of Mathematics and Statistics. His research focuses on integrable systems, mathematical physics, algebra, and geometry, with emphasis on quantum integrable systems, Cherednik algebras, and WDVV equations. He has advised multiple PhD students and collaborates on EPSRC grants such as 'Angular Cherednik Algebras and Integrability.' Feigin's work explores connections between integrable systems and algebraic structures, including Coxeter groups and Frobenius manifolds. He has organized events like the LMS Classical and Quantum Integrability conference in Glasgow and contributed to international conferences such as 'Integrability in Algebra, Geometry and Physics' in Switzerland. His research spans advanced topics like Baker-Akhiezer functions, quasi-invariant polynomials, and Dunkl operators, with applications to supersymmetry and quantum mechanics. Feigin's recent articles address angular momentum algebras, V-systems, and generalized integrable models. Awards: None explicitly mentioned. Grants: EPSRC grant 'Calogero-Moser systems, Cherednik algebras and Frobenius structures' (2008-2011) EPSRC grant 'Angular Cherednik Algebras and Integrability' (2023-) Feigin co-supervises PhD students in areas like quasi-invariants and Frobenius structures, and collaborates with researchers such as Prof. Gwyn Bellamy and Prof. Ian Strachan. His teaching includes 'Classical Field Theory and Special Relativity.'

• Hyperbolic Geometry
• Low-Dimensional Topology
• Teichmüller Theory
• +4 more

James Reed Farre is a Researcher and Head of the Geometry Research Group at the Max Planck Institute for Mathematics in the Sciences. He holds a PhD in Mathematics from the University of Utah (2019), completed an NSF Postdoctoral Fellowship at Yale University (2019-2021), and served as a Juniorprofessor (W1/Assistant Professor) at Heidelberg University (2022-2023). His academic journey includes postdoctoral positions in Heidelberg’s research group under Beatrice Pozzetti and a Gibbs Assistant Professorship at Yale. Farre’s research focuses on hyperbolic geometry, Teichmüller theory, dynamical systems, and geometric group theory. Key areas include earthquake flows, character varieties, convex projective structures, and bounded cohomology. His work bridges low-dimensional topology with ergodic theory and geometric analysis. Publications (2016–2024) explore topics like affine laminations, hyperconvex representations, and minimal surfaces in hyperbolic 3-manifolds. Recent work addresses Mirzakhani’s twist torus conjecture and Hamiltonian flows for surface group representations. Farre frequently collaborates with leading mathematicians such as Yair Minsky, Beatrice Pozzetti, and Anna Wienhard. He has contributed to algorithmic CAD research and STEM education initiatives, including a chapter in *Directions for Mathematics Research Experience for Undergraduates* (2015). His current role involves leading a research group focused on geometry and dynamics at the Max Planck Institute.

• Higher Auslander-Reiten theory
• Homological algebra
• Homotopical algebra
• +3 more

Sondre Kvamme is an Associate Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Mathematical Sciences. His research focuses on advanced algebraic structures, including Higher Auslander-Reiten theory, homological algebra, and representation theory of Artin algebras. Prior to his current position, he was a postdoc at Uppsala University (2019-2021) and Université Paris-Sud (2017-2019). He collaborates extensively with researchers in algebra and category theory, contributing to areas like monomorphism categories and cluster tilting subcategories. His work has been published in prestigious journals such as Advances in Mathematics and Mathematische Zeitschrift . Research Interests: Higher Auslander-Reiten theory Homological algebra Monomorphism categories Cluster tilting theory Exact categories Publications reflect his contributions to foundational questions in algebraic structures, with recent works focusing on torsion classes and exact category constructions. His research often bridges categorical frameworks with representation-theoretic methods. Professional activities include participation in workshops like the BIRS event on Tilting Theory (2019), where he presented work on generalizing the Nakayama functor. His academic contributions extend to editorial roles in journals like the Annals of Representation Theory, a diamond open-access journal he co-founded.

• Symplectic Geometry
• Poisson Geometry
• Symplectic and Contact Topology
• +12 more

Eva Miranda Galceran is a Full Professor at the Facultat de Matemàtiques i Estadística (FME) of the Universitat Politècnica de Catalunya (UPC) , where she leads the GEOMVAP research group and directs the Laboratory of Geometry and Dynamical Systems . She holds affiliations as a Chercheur Affilié at the Observatoire de Paris , an ICMAT Honorary Vinculado , and a member of the BGSMath network. Research: Her work bridges Symplectic and Poisson Geometry with Hamiltonian Dynamics , Fluid Dynamics , and Computer Science . Key themes include geometric quantization , integrable systems , singular manifolds , and universality in Euler flows , including the construction of Turing complete fluid systems . She has advanced the singular Weinstein conjecture and explored b-symplectic and E-symplectic manifolds with applications to celestial mechanics. Awards: ICREA Academia Prizes (2016, 2021) François Deruyts Prize 2022 Friedrich Wilhelm Bessel-Forschungspreis 2022 Gauss Professor 2025 Advising: She mentors 2 Ph.D. students ( Pablo Nicolás , Søren Dyhr ) and has supervised 9 Ph.D. graduates, including Anastasia Matveeva (2022, InPHINIT La Caixa), Joaquim Brugués (2024, FI-AGAUR), and Mir Garcia (2024). Her team spans Mathematical Physics , Geometric Quantization , and Computational Complexity . Grants: Principal Investigator for projects AQUACELL (AEI-DFG, €350,000), INTERGAP (PID2023-146936NB-I00, €293,750), COMPLEXFLUIDS (BBVA, €150,000), and the ICREA Academia 2021 (€120,000). She co-leads the Maria de Maeztu CEX2020-001084-M program (€2M) at the Centre de Recerca Matemàtica (CRM) .

• Number Theory
• Algebraic Geometry
• Computational Algebra
• +3 more

Jordi Guàrdia Rúbies is a Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Mathematics and Statistics (FME). He is a member of the UPC's STNB research group (Seminari de Teoria de Nombres de Barcelona), specializing in Number Theory and Algebraic Geometry. His work bridges theoretical research with educational innovation, particularly in Open Educational Resources (OER) for STEM fields. Affiliations: UPC, STNB Group, FME. Research Interests: Computational Algebra, Valuation Theory, Modular Forms, Mathematics Education. Recent research focuses on OER development, with contributions to collaborative platforms like Gate2Math. He has published extensively in journals like Journal of Algebra and Foundations of Computational Mathematics , addressing topics such as polynomial factorization over Henselian fields and valuation theory applications. Key awards include the Distinció Vicens Vives and UPC Quality Teaching Prize. He leads projects on OER quality assessment and has collaborated on EU-funded initiatives like the Erasmus+ Gate2Math program. His teaching contributions include innovative projects like Aprenentatge de l’Estadística basat en casos pràctics transversals , emphasizing practical case studies in statistics education.

Yves AndréView profile

Professor

• Number Theory
• Algebraic Geometry
• p-adic Analysis
• +4 more

Yves André is a Research Director 1st Class at CNRS (French National Center for Scientific Research), working at École Normale Supérieure de Paris in the Département de Mathématiques et Applications. He maintains strong affiliations with Université Paris 6 and the Institut de Mathématiques de Jussieu. André's research centers on the deep connections between number theory and algebraic geometry, with particular expertise in p-adic analysis, motivic theory, and arithmetic differential equations. His work has fundamentally advanced our understanding of p-adic differential equations, Galois representations, and the theory of motives through rigorous proofs of major conjectures including Dwork's conjecture and Crew's local monodromy conjecture. His publication record shows a consistent progression from solving specific conjectures to developing comprehensive theoretical frameworks that bridge different mathematical disciplines. The recurring themes across his work include the interplay between geometry and arithmetic, the structure of differential equations in p-adic contexts, and the development of motivic tools for number-theoretic problems. Foreign Member of the Venetian Academy (2007) Doisteau-Blutet Prize of the French Academy of Sciences (2011) Kempf Lectures (Baltimore 2006) Albert Lectures (Chicago 2009) Ordway Lectures (Minneapolis 2012) André has supervised four PhD theses and has been an active contributor to the mathematical community through numerous international mini-courses and conference organization. His leadership roles include serving on the National Committee of the Department of Mathematics at CNRS (2004-08), directing the mathematical monograph series 'Astérisque' for the French Mathematical Society (2005-11), and responsibility for the Paris node of the network ANR 'Galois theories' (2006-09). He is also a member of the 'collectif Histoire-Philosophie-Sciences' at ENS and a trustee of Rendiconti di Padova.

Joseph D RabinoffView profile

Associate Professor

• Algebraic Geometry
• Number Theory
• Non-Archimedean Analytic Geometry
• +3 more

Joseph D Rabinoff is an Associate Professor of Mathematics at Duke University's Trinity College of Arts & Sciences. His research focuses on non-Archimedean analytic geometry, tropical geometry, and their applications to algebraic and arithmetic geometry. He holds a Ph.D. in Mathematics from Stanford University (2009). Key research areas include non-Archimedean theta functions, Diophantine geometry, and the interplay between tropical and algebraic structures. He has led NSF-funded projects on non-Archimedean analytic geometry and number theory. His work bridges abstract algebraic geometry with computational and combinatorial methods. Rabinoff has presented at international conferences, including the Regensburg Days on non-Archimedean geometry and the Oberwolfach Tropical Geometry workshop. He serves as a referee for major journals such as the Journal of Algebra and Comptes Rendues Mathematiques.

Eli HawkinsView profile

Senior Lecturer

• Noncommutative Geometry
• Mathematical Physics
• Quantum Gravity
• +4 more

Dr. Eli Hawkins is a Senior Lecturer in the Department of Mathematics at the University of York. His work bridges geometry and noncommutative algebras, with a focus on quantization, noncommutative geometry, and quantum gravity. Education: PhD in Physics and Mathematics from Penn State University Research Interests: His research integrates advanced mathematical frameworks like C*-algebras, Poisson geometry, and Lie groupoids to explore quantization and quantum gravity, with applications in quantum field theory and differential geometry. Recent Publications: His recent work includes studies on Hochschild cohomology, deformation quantization, and noncommutative regularization, reflecting his expertise in algebraic and geometric methods.

Mustafa HajijView profile

Assistant Professor

• Topological Deep Learning
• Graph Neural Networks
• Computational Topology
• +2 more

Mustafa Hajij is an Assistant Professor in the Data Science program at the University of San Francisco. He holds a PhD in Mathematics from Louisiana State University, an MS in Computer Science, and completed postdoctoral training at University of South Florida and Ohio State University. Previously, he served as Assistant Professor at Santa Clara University and as an AI Research Scientist at KLA Corporation. His research develops foundational frameworks for topological deep learning, including cell complex neural networks and geometric learning architectures that operate beyond graph domains. He leads the NSF-funded project 'A Unifying Deep Learning Framework Using Cell Complex Neural Networks' (DMS-2134231, $547,626). Recent publications establish new paradigms for topological representation learning, including combinatorial complexes and simplicial networks, with applications in computational biology, 3D vision, and drug discovery. He organized the ICML Topological Deep Learning Challenges and develops open-source tools like TopoX for topological learning.

Siegfried EchterhoffView profile

Professor

• Operator Algebras
• Mathematical Physics
• Functional Analysis
• +4 more

Prof. Dr. Siegfried Echterhoff is a Professor at the University of Münster, affiliated with the Mathematical Institute within the Faculty of Mathematics and Computer Science. He serves as an Investigator in Mathematics Münster and is a member of the Collaborative Research Center (CRC) 1442, focusing on Geometry: Deformations and Rigidity. His research expertise centers on operator algebras and mathematical physics, particularly C*-algebras, K-theory, and noncommutative geometry. Education: After completing a car mechanic apprenticeship, he studied Mathematics and Mechanical Engineering at the University of Paderborn. His academic journey reflects a strong foundation in both pure mathematics and applied fields. Research Interests: Echterhoff’s work spans operator algebras, including studies on C*-dynamical systems, crossed products, and fixed-point algebras. He collaborates extensively, with notable contributions to deformation theory, noncommutative Bernoulli shifts, and the Baum-Connes conjecture. His research bridges functional analysis, K-theory, and group actions, with applications in mathematical physics. Grants & Projects: Active in the CRC 1442, his projects include investigations into exotic crossed products, deformation of C*-algebras, and the interplay between algebraic structures and geometric concepts. He also contributes to educational outreach, serving as a liaison lecturer for the Friedrich Ebert Foundation. Labs/Teams: Leads the functional analysis and operator algebras research group at the Mathematical Institute, fostering collaborations with international researchers like Alcides Buss and Rufus Willett.