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Christoph SchweigertView profile

Professor

• Tensor categories
• Hopf algebras
• Topological field theories
• +5 more

Christoph Schweigert is full Professor (W3) of Mathematics at the University of Hamburg , based in the Department of Mathematics within the Faculty of Mathematics, Informatics and Natural Sciences (MIN-Fakultät). Since 2003 he has held this permanent chair, and he currently serves as a Principal Investigator and Area Coordinator for Quantum Theories in the Cluster of Excellence “Quantum Universe” . In addition he is a member of the Centre for Mathematical Physics , the DFG Collaborative Research Centre SFB 1624 and the Research Training Group 1670 “Mathematics inspired by string theory and quantum field theory” . Education & Career Path: 1987–1992: Degree in Physics, Universität Heidelberg 1995: PhD in Mathematics, University of Amsterdam (supervisor: Robbert Dijkgraaf) 1995–1996: Postdoc, IHÉS, Bures-sur-Yvette 1997–1998: Fellow, CERN, Geneva 1999–2002: Lecturer (tenured), LPTHE, Université Paris 6; Habilitation 2000 2002–2003: Professor (C3) for Physics, RWTH Aachen Since 2003: Professor (W3) for Mathematics, Universität Hamburg Research Interests: Schweigert’s work lies at the intersection of algebra, category theory, topology and mathematical physics . He focuses on tensor categories , Hopf algebras and quantum groups , topological and conformal field theories , string-net models , and modular functors . These structures find applications in quantum topology, knot theory, 3-manifold invariants, quantum codes and quantum information theory . Editorial & Service Roles: Editor, Communications in Mathematical Physics (since 2017) Editor, Letters in Mathematical Physics (since 2009) Editor, Journal of Mathematical Physics (since 2006) Editor, Springer book series Algebra and Applications (since 2005) Spokesperson/Deputy spokesperson, DFG-RTG 1670 Member, steering committee, DFG Priority Program “Representation theory” Henriette-Herz scout for the Humboldt Foundation (since 2020) Teaching & Supervision: Schweigert regularly teaches advanced courses in linear algebra, Hopf algebras, quantum groups and topological field theory at bachelor, master and graduate levels. He organises the research seminar Algebra and Mathematical Physics and the joint seminar Quantum Physics and Geometry . Office hours are by appointment via email. Laboratory & Research Group: He leads an active research group based in the Geomatikum building (Room 313), collaborating closely with PhD students, postdocs and visiting researchers on projects in tensor categories, TQFT and related areas.

• Geometry
• Topology
• Quantum Field Theory
• +5 more

Ryan Grady is an Associate Professor in the Department of Mathematical Sciences at Montana State University, affiliated with the College of Letters & Science. His research bridges geometry, topology, and quantum field theory (QFT), with a focus on derived geometry and higher Lie theory. Research Interests: His work applies QFT techniques to geometric and topological problems, explores derived algebraic structures (e.g., L-infinity spaces, cosheaves), and investigates connections between renormalization group flows and sigma models. Recent publications address K-theoretic invariants, operadic structures in topology, and algebraic models for topological field theories. Scientific Awards: Stannard Award for Graduate Teaching (2021) NExT Fellow (2019) ICCM Best Paper Award (2018) Research Enhancement Grant (2018) Member, MSU Center for Faculty Excellence (2017) Education: Ph.D. and M.S. in Mathematics from the University of Notre Dame (2012, 2009), and B.S. in Mathematics from the Colorado School of Mines (2007). Students: Co-chaired Eric Berry (PhD 2021) and Adam Howard (PhD 2021), advised Garrett Oren (MS 2021), and mentored Bryce Morrow (BS 2023).

Peter BraunsteinsView profile

Lecturer

• Probability Theory
• Stochastic Processes
• Branching Processes
• +3 more

Dr Peter Braunsteins serves as a Lecturer in Statistics within the School of Mathematics and Statistics at the University of New South Wales (UNSW Sydney), operating under the Faculty of Science. His academic appointment focuses on advancing theoretical and applied probability through rigorous mathematical research. He completed his PhD at the University of Melbourne in 2018, followed by postdoctoral positions at the University of Amsterdam and King Abdullah University of Science and Technology (KAUST) before joining UNSW. His scholarly background bridges European and Middle Eastern research institutions with Australian academia. Braunsteins' research centers on stochastic processes , with pioneering contributions in three interconnected domains: branching processes (modeling population dynamics and extinction events), random graphs (analyzing network evolution and structural properties), and spatial extremes (studying rare events in geographical contexts). His work combines deep theoretical insights with applications in epidemiology, insurance risk modeling, and network science, often employing large deviation principles and parameter estimation techniques for complex systems. Analysis of his 15 most recent publications reveals a sustained focus on branching process theory, particularly population-size-dependent models and extinction probabilities, while simultaneously developing novel frameworks for dynamic random graphs. His research demonstrates increasing interdisciplinary reach, connecting probability theory with actuarial science through adaptations of the Cramér-Lundberg model and with network science through graphon analysis. No scientific awards or major honors are documented in the available materials. His collaborative network includes prominent researchers such as Sophie Hautphenne, Frank den Hollander, and Michel Mandjes across multiple continents. Professional activities include manuscript review for leading probability journals and participation in academic seminars at UNSW, though specific advising roles or grant funding details remain undisclosed in the source material. His office is located in Room 2056 of the Anita B. Lawrence Centre at UNSW Sydney.

Thomas BritzView profile

Senior Lecturer

• Discrete Mathematics
• Combinatorics
• Graph Theory
• +5 more

Dr. Thomas Britz is a Senior Lecturer at the School of Mathematics and Statistics, UNSW Sydney . He is a member of the Combinatorics Research Group and serves as Chief Editor of Parabola and Managing Editor for the Australasian Journal of Combinatorics . PhD in Mathematics (Aarhus University, 2003) Research: Discrete Mathematics, Combinatorics, Graph Theory, Matroid Theory, Coding Theory, Design Theory, and applications to renewable energy, bioinformatics, criminology, and more His research has been supported by grants including an ARC Discovery Grant and international fellowships. He has supervised numerous PhD, Master’s, and Honours students across diverse projects. Recent publications focus on harmonic Tutte polynomials, group divisible designs, and closeness centrality in graphs, reflecting his expertise in foundational and applied combinatorics. Awards : Vice-Chancellor’s Award for Student Wellbeing (2021), Science Dean's Award for Excellence in Student Wellbeing (2021), Vice-Chancellor's Award for Contributions to Student Learning (2015) He contributes to outreach activities , editorial service, and university committees, including the Education Excellence Committee and Sustainability Committee at UNSW.

Sophia PsarraView profile

Professor

• Architectural theory
• Spatial morphology
• Architecture and politics
• +8 more

Professor Sophia Psarra is a faculty member at The Bartlett School of Architecture within University College London . Her research and teaching focus on the interplay between spatial configuration, architecture, and sociopolitical dynamics, particularly in parliamentary buildings and urban environments. She directs the Architectural and Urban History and Theory PhD Programme and has authored significant works including Architecture and Narrative (2009) and The Venice Variations (2018), along with co-editing Parliament Buildings: The Architecture of Politics in Europe (2023). PhD in Architecture from University College London (1997) MSc in Architecture (Research) from University College London (1986) Diploma in Architecture from National Technical University of Athens (1985) Her research spans transdisciplinary fields such as architectural history and theory , space syntax , urban morphology , and social/political philosophy . Recent work examines parliamentary architecture and its role in political culture, supported by collaborations with the UCL European Institute and international conferences. Her publications highlight spatial cognition, power dynamics, and the impact of digital media on urban design. Key trends in her recent articles include: Spatial modeling of parliamentary buildings and political culture Space syntax applications in museums and urban environments Interdisciplinary analysis of architecture, language, and institutions Urban resilience strategies during pandemics Scientific recognition includes: First prizes in EUROPAN architectural competitions Parliament Buildings (2023) shortlisted for the Colvin Prize University College London Publication Award (2003) She has supervised 11 PhD students to completion and served as external examiner for 19 PhDs internationally. Her work has received funding from the Leverhulme Trust , NSF (USA) , Onassis Foundation , and UCL Grand Challenges . She collaborates with institutions like the Natural History Museum and Museum of Modern Art to explore spatial design impacts on human experience.

• Design Computing
• Spatial Modeling
• Machine Learning
• +7 more

Sean Hanna is a Professor of Design Computing at The Bartlett School of Architecture , University College London , and a member of the UCL Space Syntax Laboratory . His interdisciplinary work bridges architecture, computational modeling, and machine learning.

Dedre GentnerView profile

Professor

• Cognitive Science
• Analogical Reasoning
• Language Acquisition
• +6 more

Dedre Gentner is the Alice Gabrielle Twight Professor of Psychology and Education at Northwestern University , where she also serves as Director of the Cognitive Science Program and Co P.I. of the Spatial Intelligence and Learning Center . She holds joint appointments in the School of Education and Social Policy and the Department of Psychology. Ph.D. in Psychology, University of California, San Diego (1974) B.A. in Physics, University of California, Berkeley (1967) Research Interests focus on analogical processing , relational cognition , and language acquisition . Her work explores how structural alignment underpins analogical and metaphorical reasoning, with applications to education , child development , and cognitive modeling . Key themes include: Structure-mapping theory for analogical reasoning Role of relational language in concept formation Causal systems categorization in novices vs. experts Analogy in scientific discovery Impact of analogy on spatial/geoscience education Scientific Awards include the David E. Rumelhart Prize (2016) , Alexander von Humboldt Research Award (2012) , and Journal of Cognition and Development's Editor's Choice Award (2010) . She is a Fellow of the American Academy of Arts and Sciences , APA , and Cognitive Science Society . Advising & Grants : Gentner has advised numerous projects and secured grants from institutions like the Office of Naval Research (ONR) and National Science Foundation (NSF) . Her lab collaborates on topics such as analogical learning in children’s museums and computational models of analogy . Labs & Teams : Leads the Cognition and Language Lab and co-leads the Spatial Intelligence and Learning Center , focusing on interdisciplinary research bridging psychology, education, and computational modeling.

• Discrete-event systems
• Control theory
• Petri net modeling
• +6 more

Ramavarapu S Sreenivas is a Professor in the Industrial and Enterprise Systems Engineering department at the University of Illinois at Urbana-Champaign , with research appointments at the Coordinated Science Laboratory (CSL) and the Information Trust Institute (ITI ). He holds a joint affiliation with the Electrical and Computer Engineering department and serves as the Arthur Davis Faculty Scholar since 2016. Ph.D. , Electrical and Computer Engineering, Carnegie Mellon University (1990) M.S.E.E. , Carnegie Mellon University (1987) B.Tech , Electrical Engineering, Indian Institute of Technology Madras (1985) His research focuses on Discrete-Event/Discrete-State (DEDS) systems , applying Coding Theory, Machine Learning, and Information Theory to develop near-optimal supervisory policies for applications in wireless networks, automated manufacturing, and healthcare systems . He leads the Center for Autonomous Construction and Manufacturing at Scale (CACMS) , established in 2023. Recent publications highlight advancements in liveness enforcement in Petri nets , fault-tolerant control , and IoT-based load scheduling . His work bridges theoretical rigor with practical implementations in Distributed Control, Network Coding , and Reinforcement Learning . UIUC Campus Award for Excellence in Graduate and Professional Teaching (2023) Arthur Davis Faculty Scholar (2016) Senior Member, IEEE (2002) James Franklin Sharp Outstanding Teaching Award in Industrial Engineering (2017, 2012) Sreenivas has taught graduate and undergraduate courses in Control Systems, Integer Programming, and Financial Computing since 1992. He co-instructed courses in Health Technology and contributed to the Master of Science in Financial Engineering (MSFE) program, which ranks 4th nationally.

Andrew ElliottView profile

Senior Lecturer

• Statistics
• Data Analytics
• Modeling in Space and Time
• +8 more

Dr Andrew Elliott is a Senior Lecturer in the School of Statistics at the University of Glasgow. His research bridges Statistics , Computational Statistics , and Machine Learning & AI , with applications in Social & Urban Studies and Imaging, Image Processing & Image Analysis . Education: Not explicitly detailed in the text. Dr Elliott's work focuses on modeling in space and time , synthetic data generation , and network analysis . His recent publications explore fairness constraints in AI , agent swarms , and temporal network modeling , reflecting interdisciplinary applications in urban analytics and environmental science. His publications from 2014–2024 span network science , machine learning , image analysis , and geospatial studies . Key trends include privacy auditing , counterfactual explanations , and deep learning for network time series . Dr Elliott supervises doctoral students and has advised Zhengduo Zhao and Weiyue Zheng . He actively contributes to research groups in Statistics & Data Analytics and Machine Learning . Notable collaborations include work with Mihai Cucuringu and Gesine Reinert .

Petr KuznetsovView profile

Professor

• Distributed Systems
• Algorithms
• Synchronization
• +3 more

Petr Kuznetsov is a Professor at Telecom Paris (Institut Polytechnique de Paris), affiliated with the Department of Computer Science and Networks (INFRES). He leads the Autonomous Critical Embedded Systems (ACES) research team at the Information Processing and Communication Laboratory (LTCI). His work bridges theoretical foundations and practical applications in distributed systems. Research Focus: Kuznetsov specializes in distributed algorithms, synchronization protocols, failure detection mechanisms, and the application of algebraic topology to distributed computing. His recent work explores Byzantine fault tolerance, blockchain consensus, and concurrency in networking infrastructures. Recent Publication Trends (2015-2025): His articles predominantly focus on scalability and resilience in distributed systems, with emerging themes in blockchain technologies, Byzantine fault tolerance, and concurrency optimization. Theoretical contributions include computability theorems and complexity bounds, while applied work targets payment systems and distributed ledgers. Awards & Honors: Best Paper Award at DISC 2019 for Scalable Byzantine Reliable Broadcast Best Student Paper Award at PODC 2018 for An Asynchronous Computability Theorem for Fair Adversaries Projects & Advising: He directs the TrustShare Innovation Chair (large-scale data synchronization) and DISCMAT (mathematical foundations of distributed computing). Actively seeks PhD candidates for projects on distributed algorithms and concurrency. Laboratory & Teams: Heads the ACES team at LTCI, focusing on critical embedded systems and fault-tolerant distributed architectures. Collaborates internationally through workshops like SPTDC.

Paweł PilarczykView profile

Associate Professor

• dynamical systems
• computational topology
• rigorous numerics
• +2 more

Paweł Pilarczyk is an Associate Professor at the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology, where he has been employed since 2018. His research spans multiple mathematical disciplines with applications across various scientific fields. Dr. Pilarczyk's research interests include dynamical systems , computational topology , rigorous numerics , and applications of advanced computational techniques . His work bridges theoretical mathematics with practical applications in neuroscience, cardiology, ecology, and epidemiology. Analyzing his publication record from 2025 back to 2007 reveals a consistent focus on rigorous mathematical approaches to understanding complex systems. His recent work shows increasing interdisciplinary applications, particularly in medical diagnostics (sleep apnea detection, heart rate variability analysis) and neuroscience (neuron modeling), while maintaining strong foundations in pure dynamical systems theory. As project manager for the OPUS-funded "Topological and numerical methods in dynamical systems" (since 2022), he leads significant research initiatives at the Department of Differential Equations and Mathematical Applications. Dr. Pilarczyk maintains an active research program with collaborators across multiple institutions, evidenced by his extensive publication record and research data sets available through Gdańsk Tech's Bridge of Knowledge platform.

• Computer Architecture
• Parallel Algorithms
• Optimization
• +4 more

Betül Boz is an Assistant Professor at the Department of Computer Hardware, Faculty of Engineering, Marmara University. She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University, and a Ph.D. in Computer Engineering from Boğaziçi University. Her research focuses on computer architecture, optimization, and evolutionary computing. B.Sc., M.Sc., and Ph.D. in Computer Engineering Her research interests include computer architecture, parallel algorithms, optimization techniques, and evolutionary algorithms applied to graph coloring and scheduling. Recent work explores cloud computing scheduling, register allocation, and bioinformatics applications like circRNA-disease prediction. She has published extensively in these areas, utilizing evolutionary computing and machine learning. Key trends in her publications include evolutionary algorithms for graph coloring (2015–2025), register allocation (2004–2024), and cloud computing optimization (2023). She also investigates biomedical applications such as circRNA-disease association prediction. She has advised one thesis, managed one project, and her work aligns with UN Sustainable Development Goals. Her research outputs include 14 WoS-indexed publications, 11 WoS citations, and an h-index of 25 on WoS.

Kiril KuzminView profile

Lecturer

• Bioinformatics
• Machine Learning
• Discrete Optimization
• +3 more

Dr. Kiril Kuzmin is a Lecturer in the Department of Computer Science at Georgia State University, where he teaches Data Structures, Algorithms, Data Science, and Machine Learning. He holds a Ph.D. in Computer Science (2024) with a concentration in Bioinformatics from Georgia State University and a Ph.D. in Mathematics (2009) from the National Academy of Sciences of Belarus. His academic journey includes roles as Assistant and Associate Professor at Belarusian State University and a postdoctoral fellowship at the University of Turku, Finland. Dr. Kuzmin’s research focuses on Bioinformatics, Machine Learning, Discrete Optimization, and Graph Theory. He has published over 50 papers, with notable contributions in stability analysis of combinatorial optimization problems and applications of machine learning in genomics. His work includes predicting host specificity of coronaviruses and developing algorithms for heterogeneous genomic population analysis. Dr. Kuzmin has received the Scopus Award in Mathematics (2013) and served as PI/co-PI on three international projects. His teaching spans Java programming, Data Structures, and advanced mathematical courses like Calculus and Algebra. He is affiliated with Georgia State’s bioinformatics research group and has actively contributed to academic and political advocacy in Belarus.

Leo van WaverenView profile

Professor

• Vocational Education
• Educational Technology
• Teacher Training
• +3 more

Prof. Dr. Leo van Waveren is a Professor and Head of the Technical Didactics Group at RheinMain University of Applied Sciences (RPTU/Koziel). His academic career includes postdoctoral research at the University of Stuttgart (2018-2022) and academic roles at Technische Universität Kaiserslautern. He holds a PhD (Dr. phil.) from the University of Stuttgart (2017) and a Diplom in Technikpädagogik (Dipl.-Gwl. Informatik/Chemie). His research focuses on vocational education, ICT integration in teaching, and the impact of artificial intelligence (AI) on education. Recent work emphasizes AI's role in curriculum design and teacher training. He actively participates in national and international conferences, delivering keynote speeches on topics like generative AI in classrooms and digital transformation in vocational training. Research interests include technical competency modeling, dual education systems, and educational technology. Notable contributions include studies on vocational competencies in automation technology and teacher job satisfaction across career pathways. His work bridges theoretical frameworks with practical applications, such as smartphone-based experiments in STEM education. Prof. van Waveren leads the RPTU's efforts in digital education initiatives, including the DIGILL@Praxis program. He collaborates with regional and international institutions to advance educational innovation. Despite no listed awards, his extensive publication record and active speaking engagements underscore his scholarly impact.

Soumya BeraView profile

Associate Professor

• Theoretical Condensed Matter Physics
• Quantum Simulation
• Topological Phases
• +4 more

Soumya Bera is an Associate Professor in the Department of Physics at the Indian Institute of Technology Bombay (IIT Bombay). His research focuses on theoretical condensed matter physics, integrating computational approaches to study quantum systems. Key research interests include quantum simulation of novel phases of matter, topological phases, many-body localization, and non-equilibrium dynamics. Current research topics emphasize quantum phase transitions, quantum criticality, and the interplay of topology, disorder, and interactions. His work often explores these themes through quantum information theory and Floquet systems. Notable contributions include studies on disorder-induced delocalization, Chern-Hopf insulators, and Floquet thermalization. Publications span topics like quantum Hall criticality, graphene disorder effects, and many-body localization dynamics. His work frequently appears in high-impact journals like Phys. Rev. B and SciPost Phys., with a focus on disordered systems and quantum critical phenomena. While no explicit awards or grants are listed here, his prolific publication record underscores sustained contributions to condensed matter theory. His research group actively investigates quantum matter under non-equilibrium conditions and topological material properties.