Lorenzo Ceragioli is an Assistant Professor (RTD-A) in Computer Science at IMT Lucca within the SySMA research unit. Previously, he was a postdoctoral researcher at the University of Pisa's Department of Computer Science, where he also earned his PhD in Computer Science. His work focuses on quantum systems modeling, formal verification methods for security protocols, and access control systems. University Affiliation: IMT Lucca Research Unit: SySMA Research interests include: Quantum process verification through bisimulation techniques Analysis of SELinux security policies Logical modeling of multi-agent systems Recent work has explored firewall policy translatability and information flow control in SELinux configurations. His tools like SELinuxIFCIL and F2F address policy verification and firewall system compatibility challenges. Key contributions include: Developed IFCIL extension for SELinux policy verification Created F2F tool for firewall policy expressiveness analysis Advanced quantum process bisimulation theories
Ludovic Goudenège is a CNRS Research Director at the University of Évry-Paris Saclay, affiliated with the Laboratoire de Mathématiques et Modélisation d'Évry (LaMME). He holds a PhD in Applied Mathematics from École Normale Supérieure de Cachan and has expertise in stochastic partial differential equations, numerical analysis, and machine learning applications in finance and insurance. His roles include Deputy Director of Research at the Graduate School of Mathematics (University of Paris-Saclay) and membership in the Scientific Council of the National Institute of Mathematical Sciences (INSMI). Research Focus: His work spans stochastic processes, numerical methods for SPDEs, machine learning for high-dimensional option pricing, and actuarial risk management. Notable projects include the MAESTRO 2.0 initiative on stochastic sampling in materials science and the MALAYSIA project on machine learning for water clusters. He has published extensively in journals like *European Journal of Operational Research* and *Quantitative Finance*. Awards & Grants: Recipient of the Thomas Jefferson Fellowship (2021–2023) and lead on ANR grants such as SIMALIN (2019–2023). Collaborations include international projects with institutions in Brazil, China, and the U.S. His research bridges theoretical mathematics and applied fields like computational finance and molecular dynamics. Administration & Leadership: Served on boards of the Society for Applied and Industrial Mathematics (SMAI), the Pascal Institute, and the Paris-Saclay Research Council. Organized major conferences like the NASPDE and MathRisk workshops, and contributed to educational initiatives like the JAM (Welcome Day for Mathematics Students).
Dr. Tobias Huber-Loyola is a Research Fellow and Junior Research Group Leader at the University of Würzburg's Chair for Applied Physics, sponsored by the BMBF “Quantum Futur” initiative. He leads the “Quantum Dots” group, focusing on developing single and entangled photon sources for quantum computing and communication. His research includes integrated quantum photonics, nanophotonic devices, and light-matter interaction. He has held roles since 2022 as group leader and previously as a postdoc at the University of Maryland and NIST. Education : PhD in Experimental Physics (2016), University of Innsbruck MSc and BSc in Physics (2009–2011, 2008–2009), University of Innsbruck Research Interests : Quantum dots as photon sources, quantum networks, non-classical states of light, cavity-enhanced emission, and hybrid quantum systems. His group works on optimizing quantum dot placement in nanophotonic cavities and fiber coupling for scalable applications. Publications : Focus on quantum dot photonics, including cavity design, entangled photon generation, and telecom-compatible devices. Recent works address strain-tunable sources and deterministic storage in quantum memories. Teaching : Taught lab courses and exercise classes in optics, quantum physics, and experimental methods since 2020. Labs/Teams : Part of the Würzburg-Wroclaw Nanophotonics Center and the Cluster of Excellence ctd.qmat. Collaborates internationally on quantum technologies and materials.
Stefano Negro is a Lecturer in Mathematical Physics at the University of York (UK) since January 2024. He holds a Ph.D. in Physics and Astrophysics from the University of Torino (IT), with postdoctoral experience at institutions including Durham University (UK), École Normale Supérieure (FR), Stony Brook University (US), and New York University (US). His research focuses on classical and quantum integrable systems, TT̄ deformations, and non-invertible symmetries in low-dimensional field theories. He has received notable awards such as the Seal of Excellence (2023) and the Trapezio Fellowship (2023). Education: BSc in Physics, University of Torino (2005–2008) MSc in Theoretical Physics, University of Torino (2008–2010) Ph.D. in Physics and Astrophysics, University of Torino (2011–2014) Research Interests: Integrable Field Theories and Quantum Spin Chains TT̄-type Deformations and ODE/IM Correspondence Generalized/Non-Invertible Symmetries in QFT Applications to Cold Atom Physics and Statistical Mechanics Collaborations: International collaborations with City University London, Nordita Stockholm, and Technical University of Munich Active in organizing conferences and peer-review activities Advising: Current PhD student: Henry Bittleston (co-supervised) Offers projects on quantum integrability, exact solvability, and symmetry structures
Fei Cao is a Visiting Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. His research focuses on the interplay between interacting particle systems and partial differential equations, exploring how microscopic agent dynamics lead to macroscopic phenomena. He also investigates theoretical foundations of machine learning algorithms, particularly stochastic gradient descent. Education: Ph.D. in Applied Mathematics, Arizona State University (2017–2022) Bachelor's degree in Applied Mathematics, Southwestern University of Finance and Economics, China (2013–2017) Research Interests: Interacting particle systems and their PDE limits Mathematical analysis of wealth distribution models Opinion dynamics and collective behavior Theoretical computer science and machine learning mechanisms His work bridges stochastic agent-based models with deterministic PDE frameworks, with recent focus on econophysics and gradient-based learning algorithms. Publications Trends: Recent work emphasizes multi-phase economic models, mean-field analysis of opinion dynamics, and PDE perspectives on generative AI. His research combines analytical rigor with numerical methods to study complex systems. No scientific awards explicitly listed. Advising no formal students listed. Active in departmental research activities. Labs/Teams: Affiliated with the Department of Mathematics and Statistics at UMass Amherst, collaborating on interdisciplinary projects in applied mathematics and theoretical computer science.
Christos Nomikos is an Associate Professor at the Department of Computer Science and Engineering, University of Ioannina. He holds a PhD from the National Technical University of Athens (NTUA) and has been a faculty member since 2003. His roles include teaching and research supervision in computer science disciplines. Education: Diploma in Electrical Engineering, NTUA, 1992 PhD in Computer Science, NTUA, 1997 Research Interests: Christos Nomikos focuses on theoretical computer science and logic, including algorithm design and analysis, computational complexity, formal languages, logic programming, and graph theory. His work explores foundational aspects of programming languages and their semantics, as well as applications in knowledge representation and automated reasoning. Teaching: In the 2024-25 academic year, he teaches Discrete Mathematics II , Principles of Programming Languages , Computational Complexity , and Approximation Algorithms . He emphasizes structured learning approaches and maintains a dedicated ecourse page for students. Advising & Grants: He supervises undergraduate thesis projects in computer science, with a focus on theoretical topics like Turing machine transformations and Boolean grammar algorithms. No explicit grant information is provided in the texts. His advising process involves rigorous academic evaluation and prefers candidates with strong performance in core computer science courses. Labs/Teams: While no specific lab or team affiliations are mentioned, his research collaborations include work with international conferences and journals, indicating active participation in academic networks.
Leonid Gurvits is a Professor in the Computer Science department at City College of New York. His research spans theoretical computer science, complexity theory, operator scaling, and quantum computing. Gurvits develops mathematical frameworks and algorithms addressing fundamental problems in combinatorics, optimization, and quantum information. Recent publications demonstrate Gurvits' focus on: Advanced operator scaling techniques and applications Quantum particle statistics and entanglement complexity Combinatorial optimization through matrix analysis Efficient algorithms for permanents and partition functions
Cristian Ene is a Researcher at Grenoble Alpes University and a member of the VERIMAG Laboratory. He holds a PhD in Computer Science (2001) from Grenoble Alpes University. His primary roles include teaching and conducting research in formal verification of cryptographic protocols, computer security, and distributed systems. He is actively involved in developing automated tools for cryptographic protocol analysis, such as contributions to the Tamarin Prover framework. Research Interests : His work focuses on formal methods for verifying cryptographic systems, including model counting, security protocol analysis, and decidability in process calculi. He explores topics such as information flow control, fault-injection countermeasures, and automated theorem proving for asymmetric encryption. Publications : His recent work spans formal verification techniques, optimization in Max#SAT solving (e.g., BaxMC), and cryptographic protocol analysis. Earlier contributions include foundational studies on process decomposition in π-calculus and formal security models in the random oracle framework. Teaching : He teaches courses on cryptographic engineering, formal verification of security protocols, programming languages, and compiler design. Course materials include slides, assignments, and practical exercises using tools like Tamarin Prover. Labs & Teams : He is affiliated with the VERIMAG Laboratory, which specializes in formal methods and embedded systems research. His work integrates theoretical foundations with practical applications in secure system design and automated verification.
Kevin Mitchell is a Professor in the Department of Physics at the University of California Merced. His research focuses on the dynamics of active nematics, fluid mechanics, and the behavior of microswimmers in complex flows. He employs methods from nonlinear dynamics, topological analysis, and computational modeling to study systems ranging from biological soft corals to chaotic fluid systems. Key research areas include: Active matter and nematic fluids Chaotic advection and transport barriers Swimmer dynamics in laminar and vortex flows Interdisciplinary applications in biophysics and marine biology His recent work explores optimal mixing mechanisms in confined active systems, topological entropy in three-dimensional flows, and the interplay between noise and deterministic motion in microbial swarming. Notable contributions include studies on pulsating soft corals, fractal dynamics in BECs, and the development of ensemble-based entropy calculation methods for fluid systems. No scientific awards are explicitly mentioned in the provided texts. His research has been supported by collaborations in experimental biophysics and computational fluid dynamics, with a focus on real-world applications in marine ecology and material science.
Vlad Margarint is a Tenure-Track Assistant Professor in the Mathematics & Statistics Department at the University of North Carolina at Charlotte. His research focuses on mathematical physics, probability theory, and their intersections with statistical mechanics and random matrix theory. He holds a DPhil (PhD) from the University of Oxford (2015-2019) under Professors Dmitry Belyaev and Terry Lyons, and an MSc from ETH Zürich (2013-2015) under Prof. Antti Knowles. His work bridges Schramm-Loewner Evolutions (SLE), random matrices, and probabilistic number theory, with recent contributions to understanding zero distributions of random zeta functions and connections between SLE and RMT. Key research areas include: Random Riemann Zeta/Diophantine L-functions and probabilistic Riemann Hypothesis analogues Interplay between SLE and Random Matrix Theory (e.g., using Dyson Brownian motion drivers) Long-range statistical mechanics models and local limit theorems Deterministic Loewner theory and Bessel process applications He has taught at UNC Charlotte (Probability Theory I, Statistics), CU Boulder, NYU Shanghai, and Oxford. Recent talks include Duke University, IHES Paris, and KTH Stockholm. His work appears in journals like Random Matrices: Theory and Applications, Electronic Communications in Probability, and Journal of Statistical Physics.
Federico Salvati is a Research Associate at the Department of International Relations, Otto Suhr Institute for Political Science, Free University of Berlin. He has been affiliated with the institute since 2024 and contributes to research on international organizations, governance, and global political dynamics. Education: PhD in Political Science, Free University of Berlin MSc in Conflict Management, Alice Salomon Hochschule, Berlin Bachelor's in Political Science and International Relations, Sapienza University of Rome His research focuses on autocratic regimes, liberal international order, and the interplay between governance and international diplomacy. He employs quantitative and computational methods to analyze norm dynamics and political behavior in international systems. His work bridges theoretical and empirical approaches in international political theory. The recent publications reflect a consistent engagement with norm evolution, regional integration, and post-conflict governance. His scholarly output spans Europe, the South Caucasus, and Central Asia, with a methodological emphasis on data-driven analysis and structural modeling of political processes. Scientific Awards: No awards listed in the provided text. He is involved in advising and grant-funded research projects related to regional organizations and international cooperation, though specific students or grants are not mentioned. His current work includes analyzing the role of autocratic states in shaping global norms and institutions. Labs and Research Teams: Federico Salvati is part of the International Relations research group at the Otto Suhr Institute, contributing to projects on regional governance, norm change, and multilateral negotiations. He collaborates on interdisciplinary research examining environmental conflicts and institutional design in international organizations.
Eugene Costello is a Lecturer and Principal Investigator at University College Cork (UCC), affiliated with the School of History and the Radical Humanities Laboratory . He specializes in environmental history, landscape archaeology, and rural studies, with a focus on medieval and early modern Europe, particularly Ireland. Education: PhD in Upland Transhumance Practices, University of Galway (2016) MA in Landscape Archaeology, University of Sheffield BA in Archaeology and History, University College Cork Research Interests: His work explores the long-term socio-environmental dynamics of rural communities, including transhumance, climate adaptation, historical ecology, and the intersection of agriculture and colonialism. He emphasizes interdisciplinary methods, combining archaeology, history, and environmental science to understand how human communities have shaped and adapted to upland landscapes. Publication Trends: His recent articles (2021–2025) reflect a strong interdisciplinary focus, bridging environmental history, archaeology, and climate studies. Themes include the adaptation of pastoral societies to the Little Ice Age, the gendered dimensions of seasonal herding, and the application of historical ecology to modern conservation. His work often challenges deterministic narratives, highlighting local agency and resilience in rural economies. Scientific Awards and Recognition: European Society for Environmental History Article Prize 2023 – Honourable Mention Shortlisted, European Association of Archaeologists Book Prize 2023 American Conference for Irish Studies – Murphy Prize for Distinguished 1st Book 2020 Marie Skłodowska-Curie Actions Individual Fellowship 2021 Swedish Research Council Project Grant 2021 National Endowment for the Humanities Fellowship 2016–17 Grants and Advising: As a Principal Investigator, he leads externally funded research projects, including a major Swedish Research Council grant. He has supervised students at the University of Galway, Stockholm University, and Uppsala University, and currently teaches and mentors at UCC. He welcomes PhD and postdoctoral inquiries in environmental history, landscape archaeology, rural studies, and related fields. Labs and Research Groups: He is an active member of the Radical Humanities Laboratory at UCC, an interdisciplinary hub promoting innovative approaches to the humanities, particularly in sustainability and social justice.
Andrea Rapisarda is a Full Professor of Theoretical Physics at the University of Catania, Italy, affiliated with the Department of Physics and Astronomy "Ettore Majorana" and INFN Catania. He is the coordinator of the PhD program in Complex Systems for Physical, Socio-economic and Life Sciences and serves as co-director of the International School on Complexity at the Ettore Majorana Foundation in Erice. Additionally, he is an External Faculty member at the Complexity Science Hub Vienna, reflecting his international academic engagement. His research spans Complex Systems, Statistical Mechanics, Deterministic Chaos, Nonlinear Dynamics, Complex Networks, and Agent-Based Models , with a strong emphasis on applications to socio-economic systems. He investigates the role of randomness, luck, and inefficiencies in hierarchical organizations, drawing from interdisciplinary methods in physics and computational modeling. His work has demonstrated how random strategies can outperform merit-based ones in organizational efficiency and democratic design. The 15 most recent publications highlight a consistent focus on modeling randomness in success, inequality, and decision-making across domains such as sports, economics, politics, and public health. His work integrates agent-based simulations, network analysis, and statistical physics to understand complex phenomena, often with policy-relevant implications. Ig Nobel Prize for Management (2010) Ig Nobel Prize for Economics (2022) Rapisarda is an active advisor and researcher, though specific student names are not listed in the provided texts. He has contributed to numerous editorial boards, including Physica A, Entropy, Frontiers in Physics (Social Physics) , and Complexity . He has also been involved in public outreach, policy discussions on democratic reform via sortition, and science communication through media interviews and public lectures. He leads research projects on improving organizational and societal systems using insights from complexity science.
Karsten Trulsen is a Professor in Mechanics at the University of Oslo , affiliated with the Department of Mathematics and the Faculty of Mathematics and Natural Sciences . His work focuses on wave phenomena, particularly surface waves on water , ocean waves , and extreme wave events . Teaches courses: MEK1100 (Introduction to Mechanics), MEK4320 (Wave Dynamics), MEK4350 (Advanced Fluid Mechanics) Labs: Kistefos Laboratory , Lysakerelva His research spans nonlinear wave dynamics , stochastic analysis , and deterministic wave forecasting , combining applied mathematics, laboratory experiments, numerical simulations, and field observations. Key themes include modulational instability , rogue wave generation , and wave-structure interactions . Recent publications analyze extreme wave statistics over complex bathymetry, rogue wave probability in crossing sea states, and directional wave spectra using data-adaptive methods. He has contributed to field studies like the ExWaMar project and explored three-dimensional wave dynamics in long tanks.
Wuchen Li is an Assistant Professor in Mathematics at the University of South Carolina , specializing in Transport information geometry and its applications across Complex Dynamical systems, PDEs, Statistics, Optimization, Control and Games, Mathematical Data science, Graphs and Neural networks , and Scientific Computations . His work bridges theoretical mathematics with practical algorithms for machine learning, Bayesian inference, and optimal transport problems. His research explores geometric frameworks for probability spaces, including Wasserstein-2 metrics , Onsager gradient flows , and primal-dual hybrid gradient algorithms . Recent publications focus on accelerated sampling methods, mean field control systems, and novel applications of optimal transport in high-dimensional settings. 2022 : Air Force Office of Scientific Research YIP award for Transport Information Geometric Computations Key article trends include stochastic differential equations (37%), Wasserstein gradient flows (42%), Markov chain Monte Carlo (28%), and Hamilton-Jacobi-Bellman equations (33%). Subfields span accelerated optimization , nonlinear mobility metrics , generative modeling , and reaction-diffusion systems .
