جست‌وجوی استاد و پژوهشگر

Giovanni Petriمشاهده پروفایل

استاد

• Topology and Predictability of Complex Systems
• Computational Neuroscience
• Higher-order Networks
• +۷ مورد دیگر

Giovanni Petri is a Professor in the Network Science Institute at Northeastern University London, with additional affiliations as Principal Researcher at CENTAI and Guest Scholar at Networks Units IMT Lucca. His research spans topological analysis of complex systems, neuroimaging data, and AI architectures, with applications to cognitive neuroscience and socio-technical systems. His educational background includes a PhD in Complex Networks from Imperial College London (2012), an MSc in Theoretical Physics from the University of Pisa (2008), and a BSc in Physics from the University of Pisa (2005). Professor Petri's research focuses on the theoretical and empirical analysis of complex systems, with emphasis on structural and temporal properties of networks with higher-order interactions. His work bridges statistical physics, algebraic topology, and data analysis to investigate whole-brain activation patterns, cognitive representations in neural architectures, social contagion dynamics, and team interactions. His lab employs topological data analysis to uncover multi-scale patterns in neuroscience data that traditional methods might overlook. His recent publications reveal a strong emphasis on higher-order network structures, with significant contributions to understanding how topological features influence brain function, information processing in neural networks, and collective behavior in social systems. His work demonstrates how higher-order interactions fundamentally change our understanding of complex systems dynamics. European Research Council Consolidator Grant (RUNES: Reconstruction and unification of neural and ecological systems) Professor Petri advises numerous PhD students and postdoctoral researchers across multiple institutions. His lab (NPLab) investigates the role of topology and geometry in collective dynamics of complex systems, with funding from prestigious sources including the ERC. His research spans fundamental network theory, network science of AI, and applications to neuroscience and social systems. The NPLab, which Professor Petri leads, focuses on topological neuroscience, cognitive neuroscience, higher-order networks, and Project CETI (Cetacean Translation Initiative). The lab's work on sperm whale communication through Project CETI has gained significant attention, analyzing over 9,000 recordings to identify 156 distinct codas and develop a sperm whale phonetic language using AI techniques.

• Quantum Field Theory
• Quantum Chromodynamics
• Functional Renormalization Group
• +۵ مورد دیگر

Jan Martin Pawlowski is a Professor at the Institute of Theoretical Physics at Heidelberg University's Faculty of Physics and Astronomy. With an h-index of 60 and over 11,000 citations from 4,210 documents across 234 publications and 134 preprints, he maintains an active research profile with significant contributions to theoretical physics. His work spans multiple institutions through collaborations with 292 co-authors worldwide. Pawlowski's research focuses on fundamental aspects of quantum field theory, particularly Quantum Chromodynamics (QCD) and functional renormalization group methods. His interests include phase transitions in particle physics, quantum gravity, critical phenomena, and hadron physics. He has developed novel approaches to renormalization group flows, QCD at finite density, and the emergence of hadronic degrees of freedom from first-principles QCD. His recent work explores physics-informed renormalization group flows, the complex structure of Yang-Mills theory, and the QCD critical point. Pawlowski's publication record shows consistent high-impact contributions across prestigious journals including Physical Review D, Annals of Physics, and Physics Letters B. His research demonstrates a clear trajectory from foundational theoretical work to applications in heavy-ion collisions and quantum gravity. His work bridges theoretical developments with phenomenological applications, particularly in the context of QCD phase structure and critical phenomena. Among his notable contributions are the development of computational tools like the QMeS-Derivation Mathematica package for symbolic derivation of functional equations and DoFun for functional equations in Mathematica. His work on the functional renormalization group approach with dynamical hadronization has provided new insights into the emergence of hadrons and diquarks from QCD. Pawlowski actively collaborates with researchers across multiple institutions, evidenced by his extensive co-author network. His recent publications (2023-2025) indicate ongoing research in asymptotically safe gravity, QCD phase structure, and computational methods for quantum field theory. His work on the absolute swampland and quantum gravity from dynamical metric fluctuations represents cutting-edge research at the intersection of particle physics and quantum gravity.