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Oliver Schlotterer holds the position of Associate Professor at Uppsala University, affiliated with both the Department of Mathematics (Centre for Geometry and Physics) and the Department of Physics and Astronomy (Theoretical Physics). His research focuses on theoretical physics and mathematical structures in string theory, particularly exploring string amplitudes, modular forms, and algebraic geometry. He has contributed to understanding one-loop string amplitudes, modular graph forms, and supersymmetric field theories. Education: Not explicitly detailed in the provided text. Departments: Joint appointment in Mathematics and Theoretical Physics. His research interests include the interplay between string theory and mathematical frameworks like modular forms, algebraic geometry, and polylogarithmic functions. Recent work emphasizes chiral-splitting techniques, cyclic products of kernels, and the coaction principle in scattering amplitudes. Collaborations span topics from supersymmetric Yang-Mills theories to Einstein-Yang-Mills systems. Publications highlight advancements in string perturbation theory, including studies on non-holomorphic modular forms, genus-one integrals, and the single-valued map in string theory. His work often bridges high-energy physics with number-theoretic structures, such as zeta functions and Poincaré series. No awards or grants are listed in the provided data. He advises no students explicitly mentioned, though his collaborative research suggests involvement in training through projects. Active in the Centre for Geometry and Physics and theoretical physics groups, his research explores foundational aspects of string theory and their mathematical implications.

• Theoretical Physics
• String Theory
• Mathematical Physics
• +3 more

Emma Tegling is a Senior Lecturer (Associate Professor) at the Department of Automatic Control, Faculty of Engineering (LTH), Lund University, Sweden. She joined the department in January 2021 and holds a prestigious WASP (Wallenberg AI, Autonomous Systems and Software Program) professorship. Her research focuses on the analysis and control of large-scale networked systems, with applications in distributed electric power networks and socio-epidemiological networks. She is actively involved in multiple research projects, supervises several PhD students, and contributes to major academic events in control theory. Education: Ph.D. in Electrical Engineering, KTH Royal Institute of Technology (2019) M.Sc. in Engineering Physics, KTH Royal Institute of Technology (2013) B.Sc. in Engineering Physics, KTH Royal Institute of Technology (2011) Emma Tegling's research centers on the fundamental limitations of distributed control, particularly in large-scale and non-normal network systems. Her work addresses critical challenges in vehicular formations, power grids, and social networks. She develops scalable control designs, consensus protocols, and optimal control strategies for complex networked environments. Her recent publications highlight breakthroughs in string stability, transient performance, and distributed optimization. The trend in her articles shows a strong focus on mathematical control theory, network dynamics, and real-world applications in socio-technical systems. Scientific Awards: WASP professorship (Wallenberg AI, Autonomous Systems and Software Program) Emma Tegling leads and co-leads several significant research grants, including WASP NEST: Learning in Networks and Dynamics of Complex Socio-Technological Network Systems. She actively supervises PhD students such as Jonas Hansson and David Ohlin, whose work has led to novel consensus protocols and optimal control formulations. Her academic leadership extends to organizing the European Control Conference and co-organizing interdisciplinary workshops on power and democracy in modern societies. She is also involved in public engagement and academic service through supervision and project coordination. Emma Tegling is a key member of the Department of Automatic Control at Lund University, contributing to research teams focused on networked systems, control theory, and AI integration. She collaborates extensively within ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and participates in cross-disciplinary labs working on AI, digitalization, and natural/artificial cognition. Her work is aligned with UN Sustainable Development Goals related to sustainable energy and resilient infrastructure.

• Control Theory
• Distributed Control
• Networked Systems
• +12 more

Joseph Minahan is a Professor at Uppsala University, affiliated with the Department of Physics and Astronomy (Theoretical Physics) and the Department of Mathematics (Centre for Geometry and Physics). He holds dual Swedish and American citizenship. His research focuses on string theory, quantum field theory, and the AdS/CFT correspondence, with particular emphasis on integrability and localization techniques to derive exact results in supersymmetric theories. Education: BSc in Physics (MIT, 1982), MA and PhD in Physics (Princeton University, 1984–1987). He has held visiting positions at MIT, Harvard, and other institutions. Awards include the Lily och Sven Thuréus Prize (2013) and Bjoerkénska priset (2018), Uppsala University's highest science honor. His work spans topics like Hagedorn temperatures in supersymmetric gauge theories, integrable systems in the ABJM model, and dimensional analysis in supersymmetric Yang-Mills. He has led grants from the Swedish Research Council, Knut and Alice Wallenberg Foundation, and others. His research often bridges high-energy physics and mathematical structures, with contributions to the thermodynamic Bethe ansatz and AdS/CFT integrability.

• String Theory
• Quantum Field Theory
• AdS/CFT Duality
• +3 more

Guilherme Franzmann is an Assistant Professor at Nordita (Nordic Institute for Theoretical Physics), hosted by Stockholm University, Sweden. His research spans theoretical physics with a primary focus on cosmological models derived from fundamental theories. His research interests include: Cosmology String Theory Modified Gravity Theoretical Physics High-Energy Physics Astroparticle Physics Analysis of his 15 most recent publications (2019-2024) reveals a concentrated effort in string cosmology, particularly exploring higher-order α′ corrections in string theory for early universe solutions. His work bridges quantum gravity and observational cosmology through frameworks like double field theory and T-duality, while also addressing foundational issues like the cosmological constant problem and dark matter unification via superfluid models. A notable non-technical contribution critiques academic publishing practices. Guilherme operates within Nordita, a premier Nordic collaborative institute fostering advanced theoretical research across astrophysics, condensed matter, and high-energy physics through international workshops and long-term programs.

• Cosmology
• String Theory
• Modified Gravity
• +3 more

Gabriele Ferretti is a Full Professor and Head of Unit in Subatomic, High Energy and Plasma Physics at Chalmers University of Technology since 1999. His research spans quantum field theory, string theory, and phenomenological applications of these frameworks. He has transitioned from formal aspects of quantum field theory to exploring model-building in collider physics since the Large Hadron Collider (LHC) began operations. Ferretti teaches diverse physics courses, from classical mechanics to physics beyond the Standard Model. He actively engages in outreach through the Gothenburg Science Festival and Universeum. His work emphasizes composite Higgs models, vector-like quarks, and LHC phenomenology, with over 50 publications in high-impact journals like SciPost Physics, Journal of High Energy Physics , and Physical Review D . His research bridges theoretical formalism and experimental validation, focusing on LHC signatures and beyond-standard-model physics. Research Interests: Quantum Field Theory String Theory Composite Higgs Models Vector-like Quarks Phenomenology of Supersymmetry LHC Physics Notable Projects: Modeling vector-like quarks in partial compositeness frameworks Exploring LHCb probes for stealth new physics Investigating pseudo-scalar bosons in composite Higgs scenarios

• Quantum Field Theory
• String Theory
• High Energy Physics
• +5 more

Tobias Ekholm is a Professor at the Department of Mathematics at Uppsala University, affiliated with the Centre for Geometry and Physics and the Geometry and Physics division. His research focuses on symplectic and contact geometry, knot theory, topological strings, and geometric topology. He holds a prominent position in the field, contributing to foundational work on Legendrian and Lagrangian submanifolds, contact homology, and their applications to knot invariants and quantum modularity. Ekholm's work bridges pure mathematics and theoretical physics, particularly through connections between knot theory and topological string theory. His recent studies explore duality between Lagrangian and Legendrian invariants, quantum modular properties of knot invariants, and geometric structures in high-dimensional spaces. He has authored over 80 publications, including influential papers in Journal of Differential Geometry , Geometry and Topology , and Communications in Mathematical Physics . His research also involves collaborations on exact Lagrangian immersions, holomorphic curve techniques, and applications to polymer physics. He leads the Centre for Geometry and Physics at Uppsala, fostering interdisciplinary research at the intersection of geometry, topology, and mathematical physics.

• Symplectic Geometry
• Contact Topology
• Knot Theory
• +3 more

Mohamed Faouzi Atig is a Professor in Computer Systems at the Department of Information Technology, Uppsala University. His career spans roles as Senior Lecturer (2018-2021), Associate Senior Lecturer (2014-2018), and Researcher (2012-2018) at the same institution. He obtained his Doctoral Degree in Computer Science from the University of Paris Diderot-Paris 7 (2010) and a Master in Engineering from Tunisia Polytechnic School (2005). Current Role: Professor in Computer Systems Institution: Uppsala University Research Focus: Model checking, verification of infinite-state systems, weak memory models, automata theory, string constraints, concurrent program analysis His research explores formal methods for concurrent programs, weak memory models (TSO/PSO/POWER), automata theory for verification, and SMT solvers for string constraints. Recent work integrates graph neural networks with word equation solving and advances stateless model checking techniques. Key article trends include Weak Memory Model Verification (TSO, PSO, POWER) Stateless Model Checking Algorithms String Constraint Solvers (TRAU, Norn) Timed Automata and Multi-Pushdown Systems Mohamed Faouzi Atig has led collaborations on fence insertion procedures, timed pushdown automata, and database-driven system verification. His contributions are recognized through publications in top-tier conferences and journals.

• Model Checking
• Program Verification
• Concurrency
• +7 more

Alireza Mohammadinodooshan is a Postdoctoral Fellow at Linköping University's Department of Computer Science (IDA), Sweden, working within the Database and Information Technology (ADIT) research group. He contributes to the Wallenberg AI, Autonomous Systems and Software Program (WASP) – Sweden's largest individual research initiative – focusing on data-driven analysis of social media engagement dynamics across Twitter, Facebook, and Instagram platforms. His research centers on quantifying how political bias, news reliability, and content-agnostic factors shape temporal user engagement patterns. Key interests include social media analysis, user engagement dynamics, data mining, information systems, network science, and artificial intelligence, with emphasis on cross-platform comparative studies and algorithmic amplification effects in news consumption. Analysis of his 15 most recent publications reveals consistent focus on temporal modeling of engagement decay, multi-format content interaction (photos/videos/albums), and the interplay between news source characteristics and user behavior. His methodological approach combines large-scale dataset analysis with network theory to identify virality predictors and platform-specific engagement mechanics. No scientific awards were documented in available sources. No advising roles or research grants were referenced in the provided materials. He operates within the ADIT research group at Linköping University, which specializes in advanced database and information systems for the digital society. This group forms part of IDA's broader WASP-affiliated ecosystem focused on AI-driven autonomous systems, enabling interdisciplinary collaboration on large-scale data challenges in social computing.

• Social Media Analysis
• User Engagement Dynamics
• Data Mining
• +3 more

Deeparaj Bhat serves as a J.F. Ritt Assistant Professor at Columbia University, specializing in geometric topology and mathematical physics through advanced theoretical frameworks. PhD, Massachusetts Institute of Technology (MIT), supervised by Prof. Tomasz Mrowka Bachelor's degree, Chennai Mathematical Institute (2016-2019) His research centers on low dimensional topology, investigating 3- and 4-dimensional manifolds through gauge theory—particularly Floer homology—and symplectic/contact topology. These interconnected fields utilize differential geometry and algebraic structures to solve problems in manifold classification, with implications for quantum field theory and string theory. His work bridges pure mathematics and theoretical physics, focusing on invariants derived from partial differential equations. No scientific awards were documented in the provided text. Student advising details and research grant information were not disclosed in the available materials. Specific laboratory affiliations or research team structures were not referenced in the source documentation.

• low dimensional topology
• gauge theory
• Floer theory
• +2 more

Parosh Abdulla is a Professor in the Division of Computer Systems within the Department of Information Technology at Uppsala University, Sweden. His research focuses on formal methods and program verification with emphasis on concurrent systems, memory models, and verification techniques. With an extensive publication record spanning over three decades, he has established himself as a leading researcher in his field. His primary research interests include formal verification, model checking, concurrent systems analysis, memory models (particularly TSO and PSO), string constraints, timed automata, parameterized verification, and program analysis. His work addresses fundamental challenges in verifying complex software systems, especially those involving concurrency and weak memory models. In recent years, he has expanded his research to include quantum systems verification and the application of machine learning techniques to formal methods. Analysis of his recent publications (2023-2025) reveals a continued focus on advancing verification techniques for concurrent systems, with growing interest in quantum computing verification and the integration of graph neural networks with traditional formal methods. His work demonstrates consistent innovation in reducing the state space explosion problem while maintaining verification completeness. Professor Abdulla has established significant collaborations with researchers including Mohamed Faouzi Atig, Bengt Jonsson, and others, resulting in numerous high-impact publications in top-tier venues. His research has practical implications for developing reliable concurrent software systems and advancing formal verification methodologies. While specific details about his advising activities and grants aren't explicitly mentioned in the available information, his extensive publication record suggests active supervision of graduate students and involvement in multiple research projects. His work likely contributes to formal methods research groups at Uppsala University, focusing on verification tools and theoretical foundations of program analysis.

• Formal Verification
• Model Checking
• Concurrent Systems
• +6 more

Magdalena Larfors is Professor of Theoretical Physics at Uppsala University, where she leads a research group studying string theory and M-theory compactifications. Her work focuses on how geometry and topology of extra dimensions determine observable physics, using methods from algebraic and complex geometry complemented by machine learning approaches. Research areas include: Mathematical aspects of string theory compactifications Geometry of Calabi-Yau manifolds Physics-inspired machine learning applications Classification of stable string vacua She is principal investigator for multiple funded projects including 'Exploring the Structure of Stable String Vacua' and 'Realistic Ground States of String Theory'. Her recent publications demonstrate innovative applications of computational methods to problems in high-dimensional geometry.

• String Theory
• Calabi-Yau Manifolds
• Quantum Gravity
• +2 more

Shani Nadir Meynet is a Research Fellow in Mathematics at Uppsala University, specializing in theoretical physics and string theory. Her work explores geometric engineering, symmetry topological field theories (TFTs), and anomalies in quantum field theories. Recent publications investigate SL2(R) symmetries in Maxwell theory, decomposition of McKay quivers, and higher symmetries in orbifold superconformal field theories. She employs mathematical frameworks from representation theory and topology to advance understanding of quantum systems.

• Symmetry TFTs
• Geometric Engineering
• Anomalies
• +3 more

Jian Qiu is an Associate Professor at the Department of Mathematics and affiliated with the Department of Physics and Astronomy at Uppsala University. His research focuses on the intersection of mathematical physics, theoretical physics, and geometry, with a particular emphasis on geometric quantization, topological field theories, and supersymmetric gauge theories. Qiu's work explores advanced topics such as Rozansky-Witten theory, brane quantization, and the application of algebraic and differential geometric techniques to quantum field theories. He is also associated with the Centre for Geometry and Physics, where he contributes to interdisciplinary research bridging geometry and physics. Key Research Areas: Mathematical Physics, Theoretical Physics, Geometry, Quantum Field Theory Recent Publications: Focus on localization techniques, supersymmetric gauge theories, and geometric structures in high-energy physics. Labs/Groups: Centre for Geometry and Physics, Theoretical Physics Group His recent articles highlight contributions to brane quantization, elliptic functions in geometric analysis, and advanced localization methods in supersymmetric field theories.

• Mathematical Physics
• Theoretical Physics
• Geometry
• +3 more

Alex Takeda is a Research Fellow at the Department of Mathematics, Uppsala University, holding postdoctoral positions at both the Centre for Geometry and Physics and the Geometry and Physics division. His research focuses on advanced topics in noncommutative geometry, symplectic topology, and string topology, with particular emphasis on Calabi-Yau structures, mirror symmetry, and categorical invariants. He completed his PhD in Physics at UC Berkeley (2019), supervised by Mina Aganagic and Vivek Shende, followed by postdoctoral roles at IHES (2020-2023) under Maxim Kontsevich. His work bridges mathematics and theoretical physics, exploring connections between topological quantum field theories and geometric structures. Notable research contributions include studies on Calabi-Yau algebras, stability conditions in Fukaya categories, and applications of noncommutative geometry to mirror symmetry. He frequently presents at conferences and institutions like EPFL and the FD seminar, emphasizing geometric and categorical approaches to modern mathematical physics.

• Noncommutative Geometry
• Symplectic Topology
• String Topology
• +3 more

Ahmed Rezine is a Senior Lecturer and Associate Professor at the Department of Computer Science (IDA) , specifically within the Software and Systems (SAS) division at Linköping University . His research focuses on software verification , machine learning , and cybersecurity , particularly in the context of deep neural networks and embedded systems . Research Trends: His recent publications, such as VNN: Verification-Friendly Neural Networks (2024) and Trojans in Instruction Sets (2024), highlight his work at the intersection of AI robustness and hardware security . Earlier studies (2023-2017) emphasize formal verification of concurrent systems and GPU architectures , reflecting a consistent focus on parameterized systems and security analysis . Colleagues & Collaborations: Rezine collaborates with researchers in the Software and Systems group, part of the Wallenberg Autonomous Systems Program (WASP) . His work intersects with AI IDA and Embedded Systems (ESLAB) , focusing on autonomous systems and real-time processing .

• Computer Science
• Software Verification
• Machine Learning
• +7 more