Donald Robertson is a Lecturer in Pure Mathematics at the University of Manchester, specializing in ergodic theory with applications to additive combinatorics. His work connects measurable dynamics with combinatorial number theory problems. Research explores ergodic properties of interval exchange transformations, sumset configurations in infinite sets, and equidistribution in homogeneous dynamics. Recent publications address Erdős' sumset conjecture (2022), saddle connection distributions (2023), and disjointness in measurable group actions. He teaches measure theory and ergodic theory courses, employing problem-based learning through weekly take-home tests. Coursework emphasizes Lebesgue integration, ergodic theorems, and connections between dynamics and combinatorics.
Christopher Umans is a Professor of Computer Science at the California Institute of Technology, where he serves as the William M. Coughran Jr. Leadership Chair and Executive Officer for the Department of Computing and Mathematical Sciences. He joined Caltech in 2002 as an Assistant Professor, became Associate Professor in 2008, and was promoted to Professor in 2010. He has held multiple leadership positions including Division Deputy Chair (2018-2020) and Executive Officer since 2020. His educational background includes a B.A. from Williams College (1996) and a Ph.D. in Computer Science from the University of California, Berkeley (2000), where he was advised by Christos Papadimitriou. After completing his Ph.D., he was a postdoc at Microsoft Research from 2000-2002 before joining Caltech. Professor Umans's research focuses on theoretical computer science, particularly computational complexity with an algebraic flavor. His work spans derandomization, explicit combinatorial constructions, algebraic algorithms, coding theory, and hardness of approximation. He has made significant contributions to understanding the complexity of fundamental problems like matrix multiplication through group-theoretic approaches and developing fast algorithms for generalized discrete Fourier transforms over finite groups. His recent publications reveal a strong emphasis on algebraic methods in computation, with particular focus on matrix multiplication algorithms, generalized DFTs, and polynomial factorization. His work consistently bridges theoretical computer science with deep mathematical concepts from group theory, representation theory, and algebraic combinatorics, demonstrating how these mathematical structures can yield more efficient computational methods. His scientific recognition includes the prestigious Simons Investigator in Computer Science award and the Northrop Grumman Prize for Excellence in Teaching at Caltech. Professor Umans has advised students including Chloe Ching-Yun Hsu, who received the Henry Ford II Scholar Award. His research has been supported by multiple NSF grants including 'AF: Small: Group Theory and Representation Theory in Matrix Multiplication and Generalized DFTs' and 'AF: Small: Algorithms for Matrix Multiplication, Polynomial Factorization and Generalized Fourier Transform.' He serves on numerous program committees including FOCS, STOC, and CCC, and is Vice-Chair of SIGACT (2021-24). He is an active member of Caltech's Theory Group within the Computing and Mathematical Sciences department, contributing to its research direction and mentoring junior researchers. His work often involves collaborations with researchers across institutions, as evidenced by his extensive publication record with co-authors from various universities.
Hoon Hong is a Professor in the Department of Mathematics at North Carolina State University (NC State), affiliated with the College of Sciences. He holds editorial roles, including former Editor-in-Chief of the Journal of Symbolic Computation. His primary research focuses on developing mathematical theories, algorithms, and software for solving algebraic constraints in mathematics, science, and engineering. Key areas include computer algebra, computational real algebraic geometry, and quantifier elimination. Education: PhD in Mathematics from The Ohio State University (1990). He leads the Symbolic Computation research group and has advised numerous PhD and Master’s students since 1993. His work emphasizes efficiency in solving algebraic constraints through novel mathematical frameworks and algorithmic improvements, often leveraging structure and approximation techniques. Research Interests: Hong’s research centers on solving algebraic constraints via mathematical theories (e.g., subresultants, discriminants), algorithm design (e.g., parameterization, reparameterization), and software development (e.g., ImUp package). He explores applications in geometric modeling, optimization, and numerical analysis, with a focus on real algebraic geometry and symbolic computation. Notable Contributions: Development of the ImUp package for uniformity-improved curve reparameterization, structural analysis of cyclotomic polynomials, and advancements in quantifier elimination techniques. His work bridges theoretical computer algebra with practical applications in engineering and science. Lab/Team: Active in the Symbolic Computation group at NC State, collaborating on projects related to algebraic algorithms, computational geometry, and mathematical software development.
Jan Draisma is a full professor of Mathematics at the University of Bern and a part-time full professor of Applied Algebra and Geometry at Eindhoven University of Technology (TU/e), where he is affiliated with the Department of Mathematics and Computer Science, specifically in Discrete Algebra and Geometry and Coding Theory and Cryptology. He obtained his Master's and Ph.D. degrees from TU/e cum laude and held a postdoctoral position at the University of Basel (2002–2005). He returned to TU/e as an assistant professor, later advancing to associate professor (2011–2016), and served as a part-time full professor at VU Amsterdam (2015–2016). His research focuses on the interplay between combinatorics, statistics, and algebraic geometry. Key areas include tropical geometry, algebraic statistics, symmetric systems of polynomial equations in infinitely many variables, and representation stability. His work often explores the structure of infinite-dimensional algebraic objects and their finite approximations. The most recent publications highlight trends in polynomial functors, topological Noetherianity, amoebas of linear spaces, and the geometry of tensor representations. These works reflect a deep integration of algebraic geometry with combinatorics and category theory, emphasizing stabilization phenomena and symmetry in algebraic structures. NWO Vici Award: Stabilisation in Algebra and Geometry (2015) NWO Vidi Award: Finite thanks to symmetry (2010) Draisma has received significant research funding, including the NWO Vidi and Vici grants, and two NWO Free Competition grants (2008, 2012). He has supervised 16 students and is actively involved in the academic community as an associate editor for Experimental Mathematics, SIAM Journal on Applied Algebra and Geometry, and Linear and Multilinear Algebra. He has held leadership roles in major conferences such as MEGA 2015 and SIAM AG 19. He is affiliated with the research groups in Discrete Algebra and Geometry and Coding Theory and Cryptology at TU/e and leads research activities centered on algebraic methods in discrete mathematics and statistics.
Dragan S. Antic is a Professor at the Department of Automation, Faculty of Electronics, University of Niš. He earned his PhD in Automation from the same institution in 1994, following a Master's (1991) and Bachelor's (1987) degree in the same field. His research focuses on control systems, signal processing, and neuro-fuzzy systems, with a strong emphasis on sliding mode control, orthogonal function-based modeling, and adaptive neural networks. He has published 51 papers in journals with impact factors and currently participates in 2 national and 8 international research projects. Key research areas include dynamic system modeling, quasi-orthogonal filters, and finite-time stability analysis of time-delay systems. His work often integrates mathematical techniques with engineering applications, such as anti-lock braking systems and PID control optimization. Contact details include his office at Aleksandra Medvedeva 4, Niš, and the email dragan.antic@elfak.ni.ac.rs. Professional contributions include foundational research in endocrine neural networks and low-pass filter design, with notable publications in journals like Electronics Letters and Journal of the Franklin Institute . His efforts bridge theoretical advancements with practical engineering solutions in automation and control.
Nikos Frantzikinakis serves as a Professor in the Department of Applied Mathematics within the Theoretical Mathematics School at the University of Crete. His office is located in room C-307 with contact number 39-3853 and email frantzikinakis@uoc.gr. His academic credentials include: Ph.D., Stanford University, 2002 Professor Frantzikinakis specializes in ergodic theory, focusing on convergence and multiple regression theorems alongside analytical methods in combinatorics and number theory. His research bridges dynamical systems with additive combinatorics, particularly investigating recurrence phenomena in multiplicative functions and polynomial sequences. He has pioneered approaches connecting Furstenberg systems to number-theoretic structures, significantly advancing understanding of multiple recurrence in non-commuting transformations and partition regularity problems. Analysis of his recent publications reveals consistent exploration of ergodic-theoretic structures applied to combinatorial number theory. Key trends include recurrence along generalized Pythagorean triples, joint ergodicity for commuting transformations, and partition regularity of quadratic forms. His work demonstrates sophisticated integration of harmonic analysis, nilsequence theory, and multiplicative function correlations, with notable emphasis on the Chowla conjecture and Erdős discrepancy problems through ergodic frameworks. He maintains active research within the Applied Mathematics Laboratory at the University of Crete, contributing to theoretical mathematics through both individual scholarship and collaborative academic infrastructure.
Asif Ali Zaman is an Associate Professor in the Department of Mathematics at the University of Toronto's Faculty of Arts and Science. He specializes in analytic and probabilistic number theory, with applications to algebraic structures and arithmetic statistics. His work intersects prime distribution, zeros of L-functions, Chebotarev density theorem, random multiplicative functions, and binary quadratic forms, extending to elliptic curves, modular forms, and mass equidistribution. PhD in Mathematics (2017), University of Toronto NSERC Postdoctoral Scholar (2017–2019), Stanford University MSc in Mathematics (2012), University of British Columbia BSc in Mathematics (2010), Simon Fraser University His research leverages log-free zero density estimates, Deuring-Heilbronn phenomenon, and Artin's holomorphy conjecture to derive bounds for primes, ℓ-torsion class groups, and equidistribution on modular surfaces. Recent publications (2025–2022) focus on Tauberian theorems, multiplicative chaos, and large sieve inequalities. Grants include sponsored research on L-functions (2022–2027) and computational projects (2025). He supervises Masters and PhD students in number theory and teaches multivariable calculus and cryptology courses.
Michalis Xenos is a Professor in the Department of Mathematics at the University of Ioannina, Greece. He holds a PhD in Applied Mathematics (2003) from the University of Patras and has held postdoctoral positions at the University of Illinois at Chicago (2003-2007) and Stony Brook University (2007-2011). His research spans Applied Mathematics, Fluid Mechanics, and Biomechanics, with a focus on Magnetohydrodynamics (MHD), Computational Fluid Dynamics (CFD), and Fluid-Structure Interaction (FSI) in cardiovascular systems. Education : BSc (1996), MSc (1998), PhD (2003) in Applied Mathematics, University of Patras. Affiliations : University of Ioannina (2011-present), Stony Brook University (postdoctoral, 2007-2011), University of Illinois at Chicago (postdoctoral, 2003-2007). His work involves modeling blood flow in aneurysms, optimizing mechanical heart valves, and analyzing hemodynamic factors in vascular diseases. Collaborators include Prof. A.A. Linninger (UIC), Prof. D. Bluestein (SUNY), and Prof. U. Morbiducci (Politecnico di Torino). His publications address MHD flows, AAA rupture risk prediction, thrombogenicity in devices, and nonlinear differential equations.
Alp Bassa is a Professor of Mathematics at Boğaziçi University, affiliated with the Department of Mathematics. He holds a Ph.D. in Mathematics from Universität Duisburg-Essen (2007) and dual bachelor's degrees in Computer Engineering and Mathematics from Middle East Technical University (2004). His research focuses on Number Theory, Algebraic Geometry, and their applications in Cryptography and Finite Fields. Education: Ph.D. in Mathematics, Universität Duisburg-Essen, 2007 Bachelor of Science in Computer Engineering & Mathematics, Middle East Technical University, 2004 Research Interests: Professor Bassa investigates algebraic structures over finite fields, including Drinfeld modules, function fields, and their cryptographic applications. His work bridges Number Theory and Geometry, with contributions to coding theory and the construction of algebraic curves with optimal properties. Recent Projects: TÜBİTAK 2509: Curves over Finite Fields, Jacobian Varieties, and Abelian Varieties (2018–2020) BAP-10540: Curves over Finite Fields and Irreducible Polynomials (2015–2017) Teaching: Recent courses include foundational mathematics (Math 101, Math 102), advanced topics (Math 344, Math 525), and specialized courses in cryptography and algebraic geometry.
Nadia Heninger is a Professor in the Computer Science and Engineering department at the University of California, San Diego. Previously, she was an assistant professor at the University of Pennsylvania from 2013 to 2018. Her research focuses on mathematical and empirical cryptanalysis of public-key cryptographic systems, with significant contributions to identifying vulnerabilities in widely deployed cryptographic implementations. Her primary research interests include cryptography, cryptanalysis, and security, with particular emphasis on mathematical cryptanalysis aimed at real-world applications. Her work frequently employs lattice techniques, computational number theory, coding theory, and network measurement to uncover weaknesses in cryptographic systems. She has made notable contributions to understanding the security of RSA, Diffie-Hellman, and ECDSA implementations in practice. Heninger's research output shows a consistent focus on practical cryptanalysis, with recent work including the Blast-RADIUS vulnerability discovery, SSH key compromise via lattice techniques, and analyses of cryptographic implementations in blockchain systems like Bitcoin. Her publications span top security and cryptography venues including Crypto, Eurocrypt, Usenix Security, and CCS, often receiving best paper awards. Among her scientific achievements are an NSF CAREER award and multiple best paper awards from premier conferences including Crypto, PKC, CCS, and Usenix Security, as well as test of time awards from Crypto and Usenix Security. These accolades reflect the significant impact of her work on the field of cryptography and security. She advises several PhD students including Miro Haller, Laura Shea, Adam Suhl, and George Sullivan, and has a substantial list of notable alumni who have gone on to successful careers in academia and industry. Her research has been supported by various grants, including an Amazon Research Award for work on 'Bringing Modern Security Guarantees to End-to-End Encrypted Cloud Storage.'
Joseph Talghader is the Cymer Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, where he has been a faculty member since 1997, progressing from Assistant to Full Professor. He leads the Optical Micro+Nanosystems Group and holds appointments in the College of Engineering. Dr. Talghader's educational background includes a B.S. in Electrical Engineering from Rice University, followed by an M.S. (1993) and Ph.D. (1995) from UC Berkeley, where he was awarded an NSF Graduate Fellowship. Prior to joining academia, he worked at Texas Instruments and Waferscale Integration in process development and memory design. His research spans optics and micro/nano-mechanical systems with particular focus on infrared detectors, optical coatings, heat transfer mechanisms, and microsensors. His group has developed groundbreaking technologies including the highest sensitivity uncooled thermal detectors and the first tunable multispectral thermal detectors. Recent work has expanded into applications for glacial ice analysis and high-power laser systems. His research integrates theoretical modeling with advanced fabrication techniques, particularly atomic layer deposition. Analysis of his 15 most recent publications reveals a consistent focus on infrared technologies, optical coatings, and thermal phenomena. His work demonstrates strong interdisciplinary connections between electrical engineering, materials science, and optical physics, with increasing emphasis on practical applications in environmental sensing and high-power laser systems. Among his notable recognitions are three 3M Faculty Awards and being a Finalist for the Minnesota Cup for entrepreneurs. He has served on various program committees including the Army Research Office Electronics Division strategic planning panel and has chaired multiple IEEE conferences. Dr. Talghader actively mentors students and postdocs, with numerous publications listing junior researchers as lead authors. His group has secured significant research funding, though specific grant details aren't provided in the source material. He currently serves as an Editor for the NPG journal Light: Science and Applications, demonstrating his standing in the optics research community. The Optical Micro+Nanosystems Group maintains strong industry and interdisciplinary collaborations, with research spanning from fundamental materials properties to practical device implementation. Current projects focus on improving infrared detection technologies, developing advanced optical coatings for high-power applications, and exploring novel sensing mechanisms for extreme environments.
Erik Quaeghebeur is an Assistant Professor at Eindhoven University of Technology's School of Mathematics and Computer Science, focusing on uncertainty modeling in artificial intelligence. His work spans probabilistic circuits, imprecise probability theory, and wind energy applications. PhD in Applied Mathematics (Ghent University, 2002-2009) Master's in Applied Mathematics (Université catholique de Louvain, 2001-2002) Master's in Physics Engineering (Ghent University, 1998-2001) Research interests include probabilistic modeling under uncertainty, with applications in AI and wind energy systems. His recent work explores tensor factorizations, equivariant graph neural networks, and scalable probabilistic circuits. Scientific contributions include 60 research outputs and 2 datasets . Awards encompass the ERCIM Alain Bensoussan Fellowship (2013), BOF Postdoc (2010), and B.A.E.F. Francqui Fellowship (2009). He serves on committees for the Society for Imprecise Probability and acts as editorial board member for related conferences. Foundations of Artificial Intelligence course (since 2020) Uncertainty Representations and Reasoning course (since 2021)
Dr. Ellen Peeters is an Associate Professor at the TIAS School for Business and Society , where she has served as Academic Director of the Pre-Master program since January 2022. She obtained her education in work and organizational psychology from: Ghent University (Belgium) KU Leuven (Belgium) - Ph.D. (2016) Her research integrates individual and organizational perspectives, with core themes including: Health & Education : Workforce well-being in healthcare settings. Management & Organisation : Change Management and HRM implementation Organizational Behavior and Development Leadership and Strategic Management Quantitative Methods : Business research methodologies. Cross-cutting focus on Corporate Social Responsibility , Sustainable Careers , Employability , and Resilience during organizational transitions. Her publications demonstrate consistent emphasis on career dynamics, HRM practices, and organizational justice, using mixed methods across healthcare, entrepreneurship, and industrial contexts. Recent work highlights resilience in career shocks, nursing self-scheduling impacts, and social capital in supply chains. She holds key academic roles: Editorial Board Member: Journal of Career Development Committee Representative: Society for Industrial and Organizational Psychology (Disability, Inclusion, Accessibility & Visibility)
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.
Mahmoud Karimi is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney (UTS), leading the Vibroacoustics Research Group within the Centre for Audio, Acoustics and Vibration. He holds a PhD in Mechanical Engineering from UNSW with specialization in vibration and acoustics, and has conducted visiting research at University of Cambridge, Technical University of Munich, and INSA Lyon. His research focuses on computational hydroacoustics, vibroacoustics, and uncertainty quantification in noise/vibration problems. Academic Leadership : Editor-in-Chief of Acoustics Australia since 2025 Research Income : Attracted $6M in competitive grants ($2M as Chief Investigator) since 2017 Technical Expertise : Specializes in acoustic black hole structures, flow-induced vibration modeling, and leak detection in buried pipelines Scientific Awards : Recipient of ARC DECRA Fellowship (DE190101412) 2019-2022 Research Trends : His 91+ publications demonstrate expertise in hybrid acoustic modeling techniques, sustainable hempcrete development, and vibration energy harvesting solutions with applications in mining, rail systems, and water infrastructure. International Collaborations: University of Cambridge (UK), Technical University of Munich (Germany), INSA Lyon (France) Teaching Portfolio: Advanced numerical methods, dynamics & control, and computational modeling at UTS
