Find Academic Supervisors

Denny WuView profile

Research Fellow

• Machine Learning
• Neural Networks
• High-Dimensional Statistics
• +2 more

Denny Wu is a Faculty Fellow at the New York University Center for Data Science and affiliated with the Flatiron Institute 's Center for Computational Mathematics. He completed his PhD in Computer Science at the University of Toronto and the Vector Institute for Artificial Intelligence , advised by Assistant Professors Jimmy Ba and Murat A. Erdogdu . Prior, he earned an undergraduate degree in Computational Biology from Carnegie Mellon University as a research assistant under Ruslan Salakhutdinov . His research focuses on Theoretical Machine Learning , particularly Neural Network Optimization , Generalization Performance , and High-Dimensional Statistics . His work has been presented at top conferences like NeurIPS , ICML , and AISTATS , alongside publications in journals such as Nature Protocols and Journal of Statistical Mechanics: Theory and Experiment . Collaborative efforts include partnerships with RIKEN AIP 's Deep Learning Theory Team and Microsoft's Deep Learning Group. Borealis AI Fellowship 2023 UChicago Rising Star in Data Science Denny actively collaborates with institutions like the Vector Institute , RIKEN AIP , and Flatiron Institute , focusing on mathematical frameworks for understanding deep learning systems.

Arthur GOETSCHYView profile

Lecturer

• Wave Propagation in Complex Media
• Random Lasers
• Quantum Information in Disordered Systems
• +4 more

Arthur GOETSCHY is a Lecturer at ESPCI Paris and an active researcher at the Langevin Institute, focusing on wave propagation phenomena in complex and disordered media. His work bridges theoretical physics with practical applications in optics, quantum information, and biomedical imaging. He maintains an office at Room R52 with contact number 01 80 96 39 46. GOETSCHY's research centers on coherent control of wave propagation in disordered environments, with particular emphasis on optimization of transmission, absorption, and focusing. His scientific activities span microscopic theory of random lasers , quantum information propagation in complex media, photon-phonon dynamics in optomechanical networks, light propagation in cold atomic gases , and advanced random matrix theory applications. His work demonstrates how wave interference effects can be harnessed to control light in scattering environments. Analysis of his publication record from 2017-2025 reveals a consistent focus on wave control in disordered systems, with increasing sophistication in manipulating light for practical applications. His recent work (2023-2025) shows strong emphasis on broadband light delivery, multi-region control, and quantum aspects of wave propagation. A notable trend is the progression from fundamental theoretical understanding toward applications in biomedical imaging and telecommunications. At the Langevin Institute, GOETSCHY contributes to research on wave phenomena in complex media, collaborating with physicists working on multiple scattering, quantum optics, and nanophotonics. His theoretical work complements experimental efforts at the institute, particularly in wavefront shaping techniques and characterization of light propagation through turbid media.

AHMED HATİPView profile

Assistant Professor

• Neutrosophic Mathematics
• Algebra
• Mathematics Education
• +3 more

Ahmed Hatip serves as an Assistant Professor in the Department of Mathematics and Science Education at Gaziantep University's Faculty of Education since 2023, following his appointment as Teaching Staff from 2019-2023. His academic work bridges neutrosophic mathematics with primary mathematics education, particularly for Arabic-speaking students at the Afrin campus. Education: PhD in Mathematics, Gaziantep University, Turkey (2019-2023) Master's in Mathematics (with thesis), Gaziantep University, Turkey (2016-2018) Bachelor's in Mathematics, Aleppo University, Syria (2004-2009) His research pioneers neutrosophic algebraic structures, plithogenic sets, and refined neutrosophic calculus, with significant contributions to neutrosophic modules, rings, and vector spaces. He actively develops applications in educational contexts, focusing on integrating non-classical mathematics into primary curricula through Arabic-language pedagogy. Analysis of his 15 most recent publications (2023-2025) reveals three dominant trends: (1) Theoretical expansion of symbolic n-plithogenic structures (n=2 to 6), (2) Cross-disciplinary applications in IoT security and homomorphic encryption, and (3) Educational implementations of neutrosophic logic in primary mathematics teaching. His work shows increasing collaboration with international researchers across Turkey, Syria, and the United States. Scientific Awards: 2021 University Best Paper Award Dr. Hatip supervises graduate research in neutrosophic algebra, currently guiding PhD candidate Nader Taffash's work on neutrosophic logic in algebraic structures and having completed Talib Altalib's 2025 Master's thesis on Symbolic Plithogenic Rings. His editorial roles include serving on the boards of Neutrosophic Knowledge (2020) and Plithogenic Algebraic Structures (2023), reflecting his leadership in this specialized mathematical domain.

Daniele Ettore OteraView profile

Academic

• Geometric Group Theory
• Low-dimensional Topology
• Geometric Topology
• +3 more

Dr. Daniele Ettore Otera is a Senior Researcher at the Institute of Data Science and Digital Technologies (DMSTI) and the Faculty of Mathematics and Informatics of Vilnius University , Lithuania. His work is centered on geometric group theory, low-dimensional topology, and group theory, with a focus on asymptotic topology and topological tameness of groups and manifolds. Education: He earned a Mathematics degree from the University of Palermo (1999), a DEA (Master’s) from Université Paris-Sud 11 (2001), and a co-tutored PhD from both University of Palermo and Université Paris-Sud 11 (2006). Research Interests: Geometric group theory: quasi-isometries, ends of groups, lattices in Lie groups Low-dimensional topology: topological tameness, simple connectivity at infinity, geometric simple connectivity Group theory: subgroup permutability, commutativity degrees, probability in group theory Publications: His recent work spans graph theory, spectral invariants, group actions, and geometric topology, reflecting a deep interdisciplinary approach combining algebra, topology, and combinatorics. Labs & Teams: He is affiliated with the Interdisciplinary Statistical Research Group within DMSTI, contributing to collaborative research in mathematical sciences.

Olivier LévêqueView profile

Researcher

• Information Theory
• Random Matrices
• Stochastic Calculus
• +2 more

Olivier Lévêque is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. He conducts research at the Laboratory of Information Theory (LTHI) and holds teaching responsibilities in both Communication Systems (SSC) and Computer Science (SIN) sections. Additionally, he contributes to the Interface EPFL-Gymnases initiative. Lévêque obtained his Physics diploma (1995) and PhD in Mathematics (2001) from EPFL, with a visiting lectureship at Stanford University's Electrical Engineering Department in 2005-2006. His research explores fundamental aspects of information theory , random matrices , and stochastic calculus , with applications in wireless communications and network theory. Key interests include capacity scaling laws in ad hoc networks, diversity-multiplexing tradeoffs, and mathematical frameworks for communication systems. Recent publications demonstrate broad interdisciplinary engagement, spanning computational thinking assessment (2022), digital education frameworks (2019), satellite positioning systems (2018), and theoretical advances in probability (2018). His work consistently integrates mathematical rigor with practical communication challenges, particularly in wireless network optimization and information-theoretic security. He has supervised four doctoral students at EPFL and teaches courses including Information, Computation, Communication , Markov Chains and Algorithmic Applications , and Cryptography . Lévêque leads research activities within the Laboratory of Information Theory, focusing on theoretical foundations of modern communication systems.

Aljaž ZalarView profile

Assistant Professor

• Real Algebraic Geometry
• Truncated Moment Problems
• Matrix Polynomials
• +3 more

Assistant Professor Aljaž Zalar is affiliated with the University of Ljubljana at the Faculty for Computer and Information Science . His research focuses on Real Algebraic Geometry , Truncated Moment Problems , and Matrix Polynomials , with applications in Operator Theory and Positive Linear Maps . PhD in Mathematics, University of Ljubljana (2017) MSc and BSc in Mathematics, University of Ljubljana (2013, 2011) Zalar's work bridges theoretical mathematics and computational applications, including copositive matrices , positive semidefinite matrix completions , and noncommutative polynomial positivity . His recent projects address truncated moment problems on curves and algebraic structures in optimization . His publications from 2016–2025 span journals like Linear Algebra and its Applications , SIAM Journal on Applied Algebra and Geometry , and Integrable Equations and Operator Theory , emphasizing polynomial operator analysis and matrix inequalities . Zalar supervises postdoctoral and graduate students, including PhD candidate Rajkamal Nailwal and Igor Zobovič, and mentors undergraduate researchers. He leads the ARIS grant project J1-60011 on real algebraic geometry approaches to moment problems.

Steve ButlerView profile

Professor

• Spectral Graph Theory
• Enumerative Combinatorics
• Mathematics of Juggling
• +3 more

Steve Butler is a Professor and the Barbara J. Janson Professor in the Department of Mathematics at Iowa State University. His research focuses on spectral graph theory, combinatorics, and the mathematics of juggling. He earned his Ph.D. from UC San Diego (2008) under Fan Chung and completed an NSF Postdoc at UCLA with Benny Sudakov. Research Interests: Spectral Graph Theory: Studies eigenvalues of graph matrices, equitable partitions, and Laplacian properties. Recreational Mathematics: Explores mathematical patterns in juggling, card shuffling, and performance. Combinatorics: Investigates Eulerian numbers, distance matrices, and graph automorphisms. Scientific Awards: Barbara J. Janson Professorship (2017) LAS Early Achievement in Teaching Award (2014) Cassling Family Faculty Award (2014) MAA Iowa Section Award for Distinguished Teaching (2015) NSF Postdoctoral Fellowship (2008-2011) Advising and Outreach: Butler actively collaborates with students, producing educational videos and organizing undergraduate research initiatives. He served as Iowa State's calculus coordinator (2018-2020) and contributes to outreach programs for young STEM enthusiasts.

• Personalised Nutrition
• Human Nutrition
• Dietary Interventions
• +5 more

Associate Professor Eileen Gibney is a faculty member in the School of Agriculture and Food Science at University College Dublin (UCD), serving as Deputy Director of the UCD Institute of Food and Health and Director of Executive Education. She is a Funded Investigator with the Insight Centre for Data Analytics and contributes to the BSc Human Nutrition program. Her educational background includes: BSc in Human Nutrition from Ulster University PhD from the Dunn Nutrition Unit, University of Cambridge (2001) MSc in Molecular Medicine from Trinity College Dublin (2003) Professor Gibney's research centers on personalised nutrition , investigating inter-individual variation in dietary responses and developing innovative technologies for personalised dietary feedback. Her work spans sustainable diets , dairy science , and cardiometabolic health , often through large-scale intervention studies like MyPlanetDiet and Food4Me. She integrates environmental sustainability with nutritional science, focusing on portion size standardization and digital dietary assessment tools. Her recent publications (2024-2025) demonstrate leadership in sustainable diet research, dairy product health impacts, and AI applications in nutrition. Key trends include methodological innovations for global dietary guidelines, evaluation of dairy matrices on cholesterol metabolism, and development of culturally adapted digital tools like Foodbook24 for diverse populations. She has secured major funding as Principal Investigator for: Food4Me: Pan-European personalised nutrition intervention Food for Health Ireland: National food research consortium Insight Centre: Data analytics for nutrition and health FNS-Cloud: Framework for dietary data reuse Professor Gibney serves on the Public Health Nutrition sub-Committee of the Food Safety Authority of Ireland and is a Trustee of the Nutrition Society of UK and Ireland. She previously served as Associate Dean of Teaching and Learning (2015-2019) and Director of the Irish Association for Clinical Nutrition and Metabolism (2010-2019).

Jörg RenkawitzView profile

Professor

• Cell Motility
• Immune Cell Biology
• Mechano-Biology
• +4 more

Jörg Renkawitz is a Professor at the Ludwig-Maximilians-Universität München (LMU) , leading the Renkawitz Group at the Biomedical Center Munich (BMC) within the Department of Cardiovascular Physiology and Pathophysiology. His research focuses on immune cell mechanobiology, particularly how immune cells navigate complex 3D environments, adapt cytoskeletal dynamics, and maintain organelle integrity under mechanical stress. Education : PhD in the lab of Prof. Stefan Jentsch at LMU, studying DNA repair mechanisms. Research Interests : The lab investigates cell motility , organelle positioning , and host-pathogen interactions using advanced imaging, CRISPR engineering, and microfluidic devices. Key discoveries include the nucleus-as-ruler mechanism for path optimization and pathogen exploitation of myosin contractility. Scientific Trends : His 15 most recent publications emphasize immune cell migration , organelle mechanobiology , and microenvironment engineering , with methods spanning live-cell microscopy to genome-wide CRISPR screens. Scientific Awards & Funding : EMBO Long-Term Fellowship ISTFELLOW Marie-Curie Cofund Fellowship Boehringer Ingelheim Fonds (BIF) PhD Fellowship Endowed Peter Hans Hofschneider Professorship for Molecular Medicine SFB914 Collaborative Research Center Students : Janina Kroll, Mauricio Ruiz Fernandez, Madeleine Schmitt, Katarzyna Stefanowski, and Haohan Zhang are active members of the Renkawitz Group. Labs & Teams : The group collaborates with the Häcker Lab (Hoxb8 cell engineering), Sixt Lab (cell migration), and Walzog Group (leukocyte trafficking), while maintaining interdisciplinary ties to bioengineering and imaging networks.

• Integrable Systems
• Nonlinear Partial Differential Equations
• Random Matrices
• +3 more

Professor Tamara Grava is affiliated with the School of Mathematics at the University of Bristol . Her research focuses on mathematical physics, particularly integrable systems and nonlinear partial differential equations. PhD (SISSA, Italy), MSci (Trieste) Active in dispersive equations and random matrices Recipient of the Wolfson Visiting Fellowship Research Interests: Tamara studies exactly solvable systems, emphasizing statistical descriptions of soliton behavior in nonlinear Schrödinger equations and eigenvalue distributions in non-Hermitian random matrices. Her work bridges asymptotic analysis, probability, and integrable systems. Scientific Awards: Wolfson Visiting Fellowship Projects: Wolfson Visiting Fellowship (2024–2026): Orthogonality, Riemann surfaces, and asymptotics Sogano (2025): Soliton gas and nonlinear dispersive equations Asymptotic analysis in integrable nonlinear waves (2021–2023)

Nina C SnaithView profile

Professor

• Random Matrix Theory
• Number Theory
• Mathematical Physics
• +5 more

Professor Nina C Snaith is affiliated with the University of Bristol as a Professor of Mathematical Physics in the School of Mathematics . Her work bridges Random Matrix Theory with Number Theory , focusing on eigenvalue statistics and connections between characteristic polynomials and functions like the Riemann zeta function and L-functions. Research Interests : Snaith investigates how Random Matrix Theory techniques can analyze zeros of number-theoretical functions, particularly elliptic curve L-functions. Her research spans eigenvalue distributions, asymptotics, and combinatorial methods in matrix determinant analysis. Scientific Awards : LMS Whitehead Prize (2008) Supervision & Grants : She has supervised 7 PhD students and led projects such as RANDOM MATRIX THEORY AND NUMBER THEORY: DISTRIBUTION OF PRIMES AND HIGHER ORDER VANISHING OF L-FUNCTIONS (2005-2009) and a fellowship (2004-2010), supported by grants focused on L-functions, elliptic curves, and random matrix ensembles.

• Communication Networks
• Decentralized Algorithms
• Large Deviations
• +5 more

Ayalvadi Ganesh is a Lecturer in the Department of Mathematics at the University of Bristol's School of Mathematics, where he teaches advanced courses including Complex Networks, Stochastic Optimisation, and Queueing Networks. His academic work bridges theoretical mathematics with practical network applications. His research spans communication networks , decentralized algorithms , and stochastic modeling , with core expertise in large deviations theory , random graphs , queueing systems , and information theory . Recent work demonstrates strong focus on multi-agent bandit problems, epidemic modeling on networks, and latency optimization in distributed systems, reflecting interdisciplinary applications from cybersecurity to biological networks. Analysis of his 15 most recent publications reveals dominant trends in decentralized decision-making (38% of works), network epidemics/rumor spreading (27%), and stochastic optimization (20%), with increasing crossover into machine learning and biological applications since 2020. Best Paper award at ACM SIGMETRICS 2010 for 'Load balancing via random local search in closed and open systems' His teaching portfolio includes graduate-level courses on Complex Networks, Stochastic Optimisation, and Queueing Theory, with documented emphasis on connecting theoretical foundations to real-world network challenges. While specific grant details aren't provided in source materials, his publication pattern suggests sustained research funding in network science and stochastic systems.

Matthias LöweView profile

Professor

• Probability Theory
• Statistical Physics
• Random Matrix Theory
• +3 more

Matthias Löwe is a Professor at the Institute of Stochastics within the Faculty of Mathematics and Computer Science at the University of Münster. His academic career spans several decades with continuous contributions to probability theory and statistical physics. His research focuses on deep theoretical investigations of complex stochastic systems, particularly in the context of disordered systems and random structures. Löwe's research interests center on Probability Theory , Statistical Physics , and Random Matrix Theory . His work examines phase transitions in spin systems, fluctuation phenomena in random graphs, and the mathematical foundations of neural network models. His research program consistently bridges theoretical probability with applications in statistical physics, particularly in understanding the behavior of complex interacting particle systems at critical points. His publication record shows consistent output in top probability journals including Annals of Probability , Electronic Journal of Probability , and Annales de l'Institut Henri Poincaré . His most recent work (2020-2023) focuses on propagation of chaos in mean-field models, fluctuations in Ising models on random graphs, and exact recovery problems in block spin systems. Löwe frequently collaborates with researchers including Zakhar Kabluchko, Kristina Schubert, and Jonas Jalowy. Löwe has supervised multiple doctoral students including Raphael Meiners, Mirko Ebbers, Jens Ameskamp, and Sarah Behrens. His research group has included postdoctoral researchers and doctoral candidates working on various aspects of probability theory and its applications.

Bin GaoView profile

Associate Professor

• Riemannian Optimization
• Tensor Computation
• Parallel/Distributed Computing
• +5 more

Bin Gao is an Associate Professor at the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences. He holds a Ph.D. in Applied Mathematics (2019, University of Chinese Academy of Sciences) and a B.Sc. in Mathematics (2014, Sichuan University). His postdoctoral experience includes positions at UCLouvain (2019-2021) and the University of Münster (2021-2022). Research Interests: Riemannian optimization, tensor computation, parallel/distributed algorithms for orthogonality constraints, machine learning applications. Key Contributions: Development of retraction-free methods on Stiefel manifolds, preconditioned Riemannian algorithms, and geometric frameworks for symplectic eigenvalue problems. Article Trends: Recent work focuses on overcoming the curse of dimensionality via manifold-based optimization, including distributed algorithms for Stiefel manifolds, graph-regularized tensor completion, and second-order methods for symplectic structures. Keywords span numerical analysis, quantum information, and machine learning. Scientific Awards: 2021 Zhong Jiaqing Mathematics Award 2018 Best Student Paper Award (CSIAM) 2018 CAS Special President Scholarship 2017 National Scholarship for Doctoral Students (China) 2016 Honor Student Award (International Workshop on Modern Optimization and Application) Advising & Collaborations: Collaborates with researchers from UCLouvain, University of Münster, and AMSS. Mentors students in Riemannian optimization and tensor computation. Leads the popman research group.

Alan SolaView profile

Lecturer

• Complex analysis
• Harmonic analysis
• Probability theory
• +2 more

Alan Sola is a Lecturer in the Department of Mathematics at Stockholm University's Faculty of Science, where he serves as Head of the Division of Mathematics. His office is located in Room G1359 at Building 1, Albano campus, and he can be reached at sola@math.su.se or by phone at +46 8 16 45 23. Dr. Sola's research program centers on mathematical analysis with particular emphasis on complex analysis, harmonic analysis, operator theory, probability theory, and dynamical systems. His work examines rational inner functions from multiple perspectives including Clark measures, singularities, level curve portraits, and connections to stable polynomials. He has established significant collaborations with researchers like K. Bickel, J.E. Pascoe, and G. Knese, resulting in numerous publications in top mathematical journals. His recent publications (2021-2025) reveal a cohesive research trajectory focused on multivariable complex analysis, particularly examining rational inner functions and their properties across different mathematical contexts. This work bridges pure analysis with applications in operator theory and dynamical systems, demonstrating both theoretical depth and interdisciplinary relevance. Dr. Sola actively supervises graduate students at multiple levels. His current PhD student is Hampus Nyberg (expected graduation 2028). Former PhD students include Eleftherios Theodosiadis (2024) who researched "Geometry of multi-slit Loewner chains and semigroups of finite shift" and Linus Lidman Bergqvist (2023) who investigated "Holomorphic functions in polydiscs and measures on the distinguished boundary." He has also guided Master's students including David Appelgren (2025), Nell P. Jacobsson (2023), and Linus Lidman Bergqvist (2017), several of whom have co-authored publications with him. As an educator, Dr. Sola has taught advanced graduate courses including Quasiconformal maps (fall 2023), Complex Dynamics (fall 2021), and Geometric Function Theory (fall 2020 and spring 2018). His teaching materials and lecture notes demonstrate his commitment to making sophisticated mathematical concepts accessible to students. He has also participated in significant conferences such as the upcoming Operators on analytic function spaces meeting at CIRM (France) in December 2024.