Find Academic Supervisors

Daniel HerdenView profile

Associate Professor

• Algebra
• Set Theory
• Combinatorics
• +2 more

Daniel Herden is an Associate Professor in the Department of Mathematics at Baylor University's College of Arts & Sciences. He earned his Habilitation (2013) and Dr. rer. nat. (2005) from the University of Duisburg-Essen, Germany. His research spans algebra-set theory interactions, combinatorics applications, and coding theory. Herden maintains strong international collaborations and currently serves on the problem proposal committee of the German Mathematical Olympiad. Research interests focus on constructing large algebraic structures under set-theoretic constraints, applications of infinite combinatorics to algebra, finite combinatorics in symplectic geometry and partitions, and emerging work in coding theory at the algebra-combinatorics interface. Herden's publication trends demonstrate sustained contributions to pure mathematics, with recent work expanding into applied combinatorics and coding theory. Earlier research emphasized foundational work in set-theoretic algebra and module theory. Scientific honors include: 3 Silver Medals at International Mathematical Olympiad (1997-1999) Ranked #2 in German Math Olympiad Hall of Fame 5 First Prizes in German Mathematical Olympiad 3 First Prizes at German Federal Math Competition He advises PhD students in algebra and combinatorics, with current joint supervision in coding theory. Former students have completed dissertations on incidence algebras, group automorphisms, and forcing methods in group theory.

Reeve HunterView profile

Lecturer

• Math Pedagogy
• Topological Dynamics
• Coding Applications
• +2 more

Reeve Hunter is a full-time Lecturer of Mathematics at Baylor University's College of Arts and Sciences. He teaches courses including Calculus, Linear Algebra, and Precalculus, employing pedagogical strategies enhanced by computational tools. His interdisciplinary interests intersect mathematics with digital media, music theory, and coding.

Charlotte AtenView profile

Research Fellow

• Combinatorics
• Universal Algebra
• Category Theory
• +3 more

Charlotte Aten is a Burnett Meyer Instructor at the University of Colorado Boulder's Department of Mathematics, part of the College of Arts and Sciences. Previously, she held a postdoctoral position at the University of Denver. Her research focuses on combinatorics, universal algebra, and category theory, with applications to machine learning and formal verification. A proponent of interdisciplinary work, she explores connections between algebraic structures and topological spaces, as well as categorical approaches to neural networks. Education: PhD in Mathematics (2022), University of Rochester, thesis: Finite Generation of Families of Structures Equipped with Compatible Group Actions Bachelor of Science in Mathematics (Honors, 2017), University of Rochester Associate of Science in Mathematics (Honors, 2014), Monroe Community College Research Interests: Functorial constructions of spaces from quasigroups, representation stability, categorified invariant theory, applied category theory in machine learning, and formal verification. Her work bridges abstract algebra with geometric and computational frameworks, emphasizing practical applications. Recognition: Provost’s Fellowship (2017), University of Rochester Doris Ermine Smith Award (2017), University of Rochester McNair Scholar (2015), University of Rochester Xerox STEM Scholarship (2014), Monroe Community College Teaching & Outreach: Taught courses at the University of Colorado Boulder and University of Denver, including Linear Algebra, Calculus, and specialized topics. Led undergraduate research programs (e.g., NSF REU/Grad for All), focusing on category theory and Python coding. Served as President of the University of Rochester’s AMS Graduate Student Chapter and Treasurer of outGRADS. Contributions: Authored textbooks, including Category Theory: A Concise Course (2019). Active on GitHub with repositories on algebraic structures and lattice theory. Maintains an educational YouTube channel on universal algebra and collaborates with Mastodon’s math-focused community (mathstodon.xyz).

Yuanlin LiView profile

Professor

• Algebra
• Number Theory
• Combinatorics
• +3 more

Yuanlin Li is a Professor of Mathematics at Brock University. He holds a PhD from Memorial University, an MSc from Nanjing University, and a BSc from Jiangsu University. His research focuses on group rings, combinatorial number theory, and algebraic structures, with applications in coding theory. Key interests include Zassenhaus conjectures, zero-sum problems, and homological properties of modules. Research Projects: Includes studies on unit groups of group rings, normalizer problems, and additive number theory. Interdisciplinary Work: Explores connections between rings and graphs (e.g., zero-divisor graphs) and combinatorial problems in group theory. He is affiliated with the Department of Mathematics and Statistics and maintains an active research program, though no specific grants or awards are listed in the provided text.

David JuedesView profile

Professor

• Algorithms
• Complexity Theory
• Approximation Algorithms
• +4 more

David Juedes is a Professor of Electrical Engineering and Computer Science and Associate Dean for Academics at Ohio University's Russ College of Engineering and Technology. He also directs the Avionics Engineering Center and is part of the Center for Scientific Computing and Immersive Technologies. Juedes holds a Ph.D. from Iowa State University (1994) and has taught courses ranging from introductory computer science to advanced graduate topics like computational complexity and formal languages. His research focuses on algorithms, complexity theory, approximation algorithms, and computational biology. Notable contributions include work on secure embedded systems (e.g., d-GUARD and DAGGER frameworks) and parameterized algorithm analysis. He has advised multiple graduate and undergraduate students in areas like parameterized algorithms and bioinformatics. Juedes has received awards including ACM Senior Membership (2010) and the Russ College Outstanding Research Paper Award (2004). His work spans 30+ years with over 80 publications in top journals/conferences. He actively promotes STEM education through initiatives like cybersecurity workshops for K-12 teachers and curriculum development for real-time systems and CORBA-based resource management. Labs/Teams: Director of Avionics Engineering Center, Core member of Center for Scientific Computing and Immersive Technologies.

Boris HasselblattView profile

Professor

• Dynamical Systems
• Hyperbolic Dynamics
• Chaos Theory
• +11 more

Boris Hasselblatt is a Professor in the Department of Mathematics at Tufts University's School of Arts and Sciences. He has been affiliated with Tufts since 1989, holding roles including Department Chair and Associate Provost (2014-2016). His research focuses on geometrically motivated hyperbolic dynamics chaos theory ergodic theory topological dynamics centralizers of dynamical systems and has produced over 5000 published pages, including the seminal textbook on dynamical systems. He has held visiting appointments at ETH Zurich, University of Tokyo, and IHES Paris. Hasselblatt's research spans the regularity of Anosov splittings ergodic theory for hyperbolic systems exotic Anosov flows degree-growth of monomial maps pointwise vs. uniform hyperbolicity differentiability of Hartman-Grobman linearizations His work connects dynamical systems with differential geometry, number theory, and coding theory. He has received NSF grants for Award #2020: VISION FOR DYNAMICS (2019-2020) School on Geometry and Dynamics (2014-2015) Tufts Math Circle (2012-2013) and held leadership roles across mathematical societies including Secretary of the American Mathematical Society (2021-present) Founding Editor of Journal of Modern Dynamics Founding Editor-in-Chief of Mathematics Research Reports AMS Council and Committees membership Teaching activities include advanced courses in Differential Equations Graduate and PhD thesis advising Master's thesis instruction Honors thesis supervision at Tufts University.

Xiang-dong HouView profile

Professor

• Finite Fields
• Permutation Polynomials
• Coding Theory
• +2 more

Xiang-dong Hou is Professor in the Department of Mathematics and Statistics at the University of South Florida. His research spans algebra, number theory, coding theory, cryptography, and combinatorics, with particular expertise in finite fields and permutation polynomials. Research develops novel approaches to polynomial factorization over finite fields and equivalence classification of rational functions. Applications include cryptographic Boolean function design and efficient coding theory implementations. Publications demonstrate innovative connections between abstract algebra and information security, particularly in developing new permutation polynomial families for cryptographic applications. Recent work advances theoretical frameworks for normal polynomial identification. Scientific Awards: No awards listed Supervises doctoral students in finite field applications and serves as editorial board member for Finite Fields and Their Applications journal.

Giacomo MicheliView profile

Associate Professor

• Applied Algebra
• Finite Fields
• Cryptography
• +2 more

Giacomo Micheli is Associate Professor in the Department of Mathematics & Statistics at University of South Florida's College of Arts and Sciences, and Co-Director of the Center for Cryptographic Research. Education includes a PhD in Mathematics from University of Zurich (2015) and MA/BA degrees from University of Rome (2012/2010). Research spans applied algebra and number theory with focus areas: Algebraic foundations of cryptography (finite fields, code equivalence) Locally recoverable codes for distributed storage Differential cryptanalysis of symmetric ciphers Current projects supported by NSF CAREER and RTG grants develop cryptographic primitives and analyze number-theoretic structures. Advises PhD students in algebraic coding and cryptanalysis. Serves as associate editor for Advances in Mathematics of Communications and Journal of Number Theory.

Betty Fyn-SydneyView profile

Lecturer

• Group Theory
• Representation Theory
• Coding Theory
• +2 more

Dr. Betty Fyn-Sydney is an Associate Lecturer in the Department of Computing at Goldsmiths, University of London, and holds concurrent roles as a Teaching Fellow at the University of Birmingham and a Lecturer at the University of Greenwich. She specializes in pure mathematics with a focus on group theory, representation theory, and coding theory. Her teaching spans foundational mathematics courses for computing students, including Mathematical Modelling and Problem Solving, and she oversees undergraduate research projects at the University of Birmingham. Education: PhD in Pure Mathematics, University of Birmingham (2013) MSci in Mathematical Sciences, University of Birmingham (2007) BSc in Statistics, Obafemi Awolowo University, Nigeria (2004) Research & Teaching: Dr. Fyn-Sydney’s research bridges abstract algebra (group theory) and applied mathematics (coding theory). She actively contributes to teaching across multiple institutions, leading tutorials in mathematical modelling for first-year undergraduates at Greenwich and supervising advanced projects at Birmingham. Her expertise also extends to linear algebra, number theory, and calculus instruction. Awards: No scientific awards explicitly mentioned in the provided materials. Advising & Grants: Supervises undergraduate mathematics projects at Birmingham but no specific grants or funding details are noted. Her academic service includes curriculum development in symbolic and numerical mathematics. Labs/Teams: No dedicated lab or research team described in the text.

Alexander GolovnevView profile

Assistant Professor

• Computational Complexity
• Algorithms
• Pseudorandomness
• +2 more

Alexander Golovnev is an Assistant Professor at Georgetown University's Computer Science Department. His research focuses on computational complexity, algorithms, pseudorandomness, learning theory, and cryptography. He received his PhD from New York University in 2017, advised by Oded Regev and Yevgeniy Dodis, with postdoctoral positions at Columbia University, Yahoo Research, and Harvard University. His current teaching includes Matrix Rigidity (Spring 2025) and Introduction to Algorithms. He has developed a 5-Course Specialization on Discrete Mathematics and organized workshops on Matrix Rigidity and Fine-Grained Cryptography. Service includes program committees for CSR'22, FOCS'22, STOC'24, CCC'24, and ITC'25. Research interests span quantum computing reductions, lattice problems, circuit complexity, and fine-grained cryptography. His recent publications explore worst-case to average-case reductions, function inversion tradeoffs, and SNARK constructions. Awards include NSF CAREER Award (2024), Rabin Postdoctoral Fellowship (2018-2020), and IPEC excellent student paper award (2012). Current PhD/Master's advisees: Sidhant Saraogi (joint with Justin Thaler), Karthik Gajulapalli, Samuel King, and Satyajeet Nagargoje.

Sebastian SternView profile

Researcher

• Wireless Communications
• MIMO Systems
• Lattice Coding
• +3 more

Dr.-Ing. Sebastian Stern serves as a Senior Researcher at the Institute of Communications Engineering, Ulm University, Germany. His research focuses on advanced communication systems with particular expertise in MIMO transmission, lattice-based coding, and optical communications. Stern maintains active collaborations with researchers including Robert F.H. Fischer and Johannes K. Fischer across multiple publications. His educational background includes a dissertation titled Advanced Equalization and Coded-Modulation Strategies for Multiple-Input/Multiple-Output Systems (2019) from Ulm University, building upon his Master's thesis Comparison of the peak value behavior of single- and multi-carrier methods (2012) which earned the VDE Award for Outstanding Master Thesis. Stern's research interests span wireless communications, optical transmission systems, and advanced signal processing techniques. His work demonstrates significant contributions to 4D constellation design using Hurwitz and Eisenstein integers, lattice reduction methods for MIMO systems, and non-binary coding schemes for high-throughput fiber-optic communication. Recent publications show expanding work into quaternionic lattices and AI applications for network security. His publication record shows consistent output since 2013 with 25+ journal and conference papers, including high-impact publications in IEEE Transactions on Information Theory and Journal of Lightwave Technology. Recent work (2023-2025) demonstrates continued innovation in integer-forcing techniques, quaternionic Minkowski reduction, and 4D constellation optimization. VDE Award for Outstanding Master Thesis (2013) Stern has taught multiple courses at Ulm University including Communications Engineering lab courses, Multiuser Communications and MIMO Systems exercises, and Signale und Systeme tutorials between 2013-2017. His teaching experience complements his research in practical implementation of advanced communication techniques.

Núria PlanasView profile

Professor

• Mathematics Education
• Multilingual Mathematics Teaching
• Sociocultural Approaches to Learning
• +3 more

Núria Planas is a Professor of Mathematics Education at the Autonomous University of Barcelona and an Honorary Research Fellow at the University of Oxford's Department of Education. She holds a PhD from the UAB Division of Mathematics Education and has extensive experience as a secondary school teacher in multilingual classrooms. Her research focuses on language use in mathematics education, particularly in urban poverty contexts and multilingual settings. Education: BSc in Pure Mathematics (1995, University of Barcelona), MSc in Mathematics Teaching (1996, UB), MSc in Education (1999, UAB), and PhD in Mathematics Education (2001, UAB). Her work addresses equity in mathematics education, emphasizing sociocultural and sociopolitical approaches. Key contributions include the ICREA Academia Award (2013) and leadership roles in international organizations like the International Commission on Mathematical Instruction. She has co-edited influential volumes such as the 2021 Routledge book on classroom research and serves on editorial boards for leading journals including Journal of Mathematics Teacher Education .

• Structural Dynamics
• Nonlinear Dynamics
• Elastic Wave Propagation
• +3 more

Christophe Pierre is the Jess H. Davis Endowed Chair and Professor in Mechanical Engineering at Stevens Institute of Technology. He holds a Ph.D. from Duke University and a Diplôme d'Ingénieur from École Centrale Paris. Research Focus: Pioneering work in structural dynamics, vibration localization, and aeroelasticity. Developed widely used vibration prediction codes licensed to jet engine manufacturers. Awards: Fellow of National Academy of Inventors, American Academy of Mechanics, and ASME; N. O. Myklestad Award Leadership: Former Provost of Stevens and Dean at McGill University. Graduated 35+ doctoral students and authored 300+ publications with 15,000+ citations.

• Sparse Matrix Computation
• Optimization Algorithms
• High-Performance Computing
• +2 more

Shahadat Hossain is Professor and Program Chair of Computer Science at the University of Northern British Columbia. His research develops optimization algorithms for sparse matrix problems, complex networks, and high-performance computing. Key contributions include: DSJMToolkit for sparse Jacobian matrices Graph-based methods for matrix estimation Quantum-classical optimization hybrids He has supervised over 20 graduate students and secured NSERC Discovery Grants for optimization research. Hossain holds a Dr.Scient. from University of Bergen and completed visiting positions at Cornell University and Humboldt University. His 15 most-cited publications demonstrate consistent focus on sparse matrix computation, graph algorithms, and computational optimization techniques with applications in scientific computing and network analysis.

Heide Gluesing-LuerssenView profile

Research Professor

• algebraic coding theory
• systems theory

Heide Gluesing-Luerssen is the Edwards Research Professor of Mathematics at the University of Kentucky's Department of Mathematics, housed within the College of Arts & Sciences. She holds a Ph.D. from the University of Bremen (1991). Her research focuses on algebraic coding theory and systems theory, with a personal webpage detailing her work. Education: Ph.D., University of Bremen, 1991 Research Interests: Her expertise lies in algebraic coding theory, exploring structured error-correcting codes, and systems theory, addressing linear systems and their applications. These areas bridge abstract algebra with practical communication engineering challenges. Contact: Located in 751 Patterson Office Tower, she can be reached via email at heide.gl@uky.edu or phone: +1-859-257-6796.