جست‌وجوی استاد و پژوهشگر

• Fluid Dynamics
• Mathematical Physics
• Partial Differential Equations
• +۵ مورد دیگر

Vincenzo Sciacca is a Full Professor in the Department of Mathematics and Computer Science at the University of Palermo, Italy. His academic position is listed under classification code MATH-04/A, which typically refers to Mathematical Analysis in the Italian academic system. He maintains regular office hours on Thursdays from 3:00 PM to 6:00 PM at the Department of Mathematics and Computer Science, Via Archirafi 34, Office No. 216 (2nd floor). Professor Sciacca's research spans several areas of mathematical physics and fluid dynamics. His primary interests include: Fluid dynamics and vortex theory Partial differential equations, particularly Navier-Stokes and Euler equations Singularity formation in boundary layer theory Numerical analysis of complex fluid systems Mathematical modeling in geophysical fluid dynamics Complex singularity analysis for nonlinear systems Analysis of his recent publications reveals a strong focus on the mathematical aspects of fluid dynamics, with particular attention to singularity formation, vortex dynamics, and the behavior of solutions to fundamental equations in fluid mechanics. His work combines rigorous mathematical analysis with computational approaches to understand complex phenomena in fluid systems. Over the years, his research has evolved from fundamental studies of singularity formation to more applied problems in geophysical fluid dynamics and mathematical biology as evidenced by his 2024 paper on Multiple Sclerosis. Professor Sciacca maintains an active research profile with publications spanning from 1994 to the present, demonstrating sustained scholarly contribution to his fields of expertise. His work shows interdisciplinary reach, connecting pure mathematical analysis with applications in physics, geophysics, and biomedical modeling. He can be contacted at vincenzo.sciacca@unipa.it and maintains a personal web page at http://math.unipa.it/~sciacca/ where additional information about his teaching and research is available.

Marco Paggiمشاهده پروفایل

استاد

• Fracture mechanics
• Contact mechanics
• Computational methods for nonlinear partial differential equations
• +۱۵ مورد دیگر

Marco Paggi is a Full Professor of Structural Mechanics at the IMT School for Advanced Studies Lucca, Italy, since 2017. He previously held academic roles at Politecnico di Torino (Assistant Professor, 2007-2013) and has been an Alexander von Humboldt Fellow at Leibniz University Hannover. His research focuses on fracture mechanics, contact mechanics, and computational methods applied to renewable energy systems, composite materials, and multi-scale modeling. Key Themes: Fracture propagation, contact interfaces, phase field modeling, photovoltaic durability, and material heterogeneity. Awards: Stanford Top 2% Scientists (2020-2024) Research.com Top Scientists (2022-2024) European Structural Integrity Society Young Scientist Award (2010) Publications: His work spans tribology, computational fracture mechanics, and material degradation, with recent emphasis on phase field modeling for quasi-brittle materials and photovoltaic systems. He has pioneered methods for multi-scale and multi-physics analysis of structural systems. Mentorship: Supervised 17 PhD graduates and 14 postdocs, including award-winning researchers like Pietro Lenarda and Zeng Liu.

• Scientific Computing
• Numerical Methods
• Computational Cardiology
• +۵ مورد دیگر

Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms. His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics. Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine. Notable contributions include: Development of BDDC/FETI-DP preconditioners for cardiac models Integration of machine learning with cardiac electrophysiology High-performance computing for multiphysics systems (Biot’s consolidation, protein stability) Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.

• Biochemistry
• Structural Biology
• Molecular Biophysics
• +۴ مورد دیگر

Alessandra Pesce is an Associate Professor at the Department of Physics (DIFI) of the University of Genoa, Italy. Her research focuses on structural biology of globins, protein aggregation, and cold-adapted enzymes, with applications in life sciences, environmental monitoring, and cultural heritage preservation. She teaches Applied Physics and Biophysics at both undergraduate and graduate levels in Physics and Biological Sciences. Her work spans from atomic-level characterization of protein crystals using Atomic Force Microscopy to large-scale ecological projects like the LIFE+ WHALESAFE initiative for sperm whale conservation through acoustic monitoring. Email: alessandra.pesce@unige.it Phone: +39 010 33 56243 Research Interests: Structural characterization of hexa-coordinated globins in marine organisms Thermodynamic and kinetic analysis of truncated hemoglobins in pathogenic bacteria Quaternary structure adaptations in Antarctic enzymes Development of acoustic monitoring systems for marine mammal conservation Protein aggregation mechanisms in amyloid-related diseases Publication Trends: Over 15 years, her research demonstrates expertise in combining X-ray crystallography with biophysical techniques to study globin family proteins across diverse species (from nematodes to whales). Key themes include heme reactivity modulation, ligand diffusion pathways, and structure-function relationships in extremophile proteins, with recent emphasis on marine conservation technology.

• Neuroscience
• Computational Modeling
• Meditation
• +۵ مورد دیگر

Giuseppe PAGNONI is an Associate Professor at the Department of Biomedical, Metabolic and Neurosciences of Università di Modena e Reggio Emilia . His research spans neuroscience , computational modeling , meditation , and brain network analysis . He teaches courses such as Neural Systems Modeling for Bioengineering students and Human Physiology and Pathophysiology in Medicine programs, with a focus on predictive coding , default mode network , and emotional valence processing . Pagnoni has contributed to ENIGMA-Meditation , a global initiative exploring meditation's neuroscientific basis, and developed sparse Bayesian models for analyzing brain network individual differences. His work on Alzheimer's disease investigates anosognosia mechanisms through resting-state fMRI, while other studies examine ghrelin's role in obesity-related reward processing and oxytocin's effects on social anxiety . He employs dynamic causal modeling and predictive processing frameworks to study cognitive effort, mind wandering, and neuromorphic learning. His methodological expertise includes functional MRI , independent component analysis , and computational simulations .

Andrea Cristofaroمشاهده پروفایل

دانشیار

• Robotic Systems
• Multi-Agent Systems
• Hybrid Systems
• +۴ مورد دیگر

Andrea Cristofaro is an Associate Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome. He holds an M.Sc. in Mathematics (2005) from Sapienza University of Rome and a Ph.D. in Information Science and Complex Systems (2010) from the University of Camerino. His academic trajectory includes postdoctoral positions at INRIA Rhône-Alpes (France) and the Norwegian University of Science and Technology, followed by faculty appointments at the University of Camerino and University of Oslo before joining Sapienza in 2019. His research spans: Robotic systems : Fault-tolerant control, multi-agent coordination, and hybrid dynamics Distributed parameter systems : Stability analysis, observer design, and optimal control of PDEs Hybrid systems : Control synthesis for systems with state-driven jumps and switching logic Recent publications (2024-2025) predominantly explore fault-tolerant control architectures for multi-robot systems, decentralized task allocation, adaptive observer designs for biological and thermal systems, and optimal control of reaction-diffusion equations. This reflects a consistent focus on robustness in complex dynamical systems with applications ranging from industrial robotics to biomedical engineering. He serves as Associate Editor for Automatica and IEEE Transactions on Control Systems Technology , and is a member of the IEEE CSS Conference Editorial Board.

• Numerical Analysis
• Partial Differential Equations
• Integral Equations
• +۳ مورد دیگر

Mario Annunziato is a Researcher in Mathematics at the Department of Physics, University of Salerno, since 2004. His work focuses on numerical methods for stochastic processes and optimal control. Institution: University of Salerno Department: Department of Physics Academic Rank: Researcher Research Interests include numerical solutions of PDEs and integral equations for stochastic processes, probability density function optimization, and modeling random phenomena. His work addresses positivity, monotonicity, and conservation in discrete PDFs. Article Trends span stochastic control frameworks, computational finance, biophysics applications, and numerical methods for jump-diffusion processes. Key topics involve Fokker-Planck equations, Hamilton-Jacobi-Bellman formulations, and splitting methods. Advising and Grants include teaching Numerical Analysis until 2013 and securing funding from the University of Salerno's FARB program, INdAM-GNCS, and the European Science Foundation's OPTPDE grants. He participated in the STRIKE Marie Curie ITN network. Labs & Teams : Collaborated with Prof. Alfio Borzì at Würzburg University and contributed to open-source tools like MATLAB Central File Exchange for PDP solvers.

Luca Schenatoمشاهده پروفایل

استاد

• Control Systems
• Distributed Optimization
• Federated Learning
• +۵ مورد دیگر

Luca Schenato is a Full Professor in the Department of Information Engineering at the University of Padova. His research focuses on distributed control systems, federated learning, multi-agent optimization, and wireless communication protocols. He has extensive experience in developing algorithms for cyber-physical systems, with applications in robotics, smart grids, and sensor networks. Education and Appointments section lists his academic journey but lacks explicit details. He has held positions related to control systems and information engineering throughout his career. Research interests include: Design of resilient wireless control systems Federated learning architectures for edge computing Distributed optimization under communication constraints Robotics and multi-agent coordination Smart energy management systems His recent publications (2021–2025) demonstrate a strong focus on: Over-the-air federated learning innovations High-speed wireless control systems (e.g., 1 kHz Wi-Fi control) Resilient distributed optimization algorithms Human-centric building automation He has contributed to numerous projects related to networked control systems and has organized conferences like ECC13. His work emphasizes bridging theoretical control principles with practical industrial applications.

• Synthetic biology
• Artificial life
• Biochemistry
• +۵ مورد دیگر

Martin Michael Hanczyc is an Associate Professor in the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento, Italy. His research program bridges biochemistry, biophysics, and synthetic biology to explore the fundamental principles of life through artificial systems. Dr. Hanczyc's primary research interests focus on synthetic biology and artificial life , particularly the creation and study of artificial cell systems using vesicles and droplets as model compartments. His work explores how simple chemical systems can exhibit life-like behaviors including self-organization, compartmentalization, and survival strategies. He investigates the physical and chemical principles underlying the formation of primitive cell-like structures, with implications for understanding the origin of life. His recent publications reveal a strong trend toward quantitative analysis of dynamic systems, with increasing focus on network formation, computational modeling, and high-throughput methods for studying artificial cell behaviors. The research spans from fundamental studies of vesicle and droplet dynamics to more complex investigations of artificial ecosystems and chemical networks that mimic biological processes. As an educator, Dr. Hanczyc teaches in the Biotechnology Engineering program and contributes to the RNA Biology and Biotechnology course, focusing on advanced biomaterials, tissue engineering, and regenerative medicine applications. His teaching emphasizes the integration of theoretical principles with practical applications in biomedical technologies.

• Mathematical Modeling
• Kinetic Theory
• Socio-Economic Dynamics
• +۳ مورد دیگر

Giuseppe Toscani is a Full Professor at the Department of Mathematics of the University of Pavia. His research focuses on mathematical modeling of socio-economic systems, epidemiological dynamics, and kinetic theory. He explores topics such as wealth distribution, opinion formation, and epidemic spread using advanced methods in partial differential equations and statistical mechanics. Key research areas include analysis of inequality indices (Gini Index extensions), multi-agent systems, and nonlinear diffusion processes. His work intersects with applications in public health, economic policy, and social behavior modeling, emphasizing the interplay between theoretical frameworks and real-world phenomena. Education: Not explicitly detailed in provided texts, but his academic role implies a doctoral degree in Mathematics or related field. Labs/Teams: Affiliated with the Methods and Models for Applied Sciences research group. Grants/Awards: No specific grants or awards listed in the text. Recent publications address condensation patterns in opinion dynamics, multidimensional inequality metrics, and pandemic modeling through compartmental systems. His kinetic models provide foundational tools for understanding complex social and biological systems.

• Optimal Transport
• Partial Differential Equations
• Mean Field Games
• +۳ مورد دیگر

Alpár R. Mészáros is a Full Professor at Durham University's Department of Mathematical Sciences. His research focuses on optimal transport, partial differential equations, and mean field games. He has organized conferences such as the 2025 Durham Symposium on Mean Field Games and contributed to events like the LMS Invited Lecture Series in 2023. Mészáros holds a PhD in Mathematics and has authored numerous papers on topics including displacement monotonicity, master equations, and cross-diffusion systems. His work bridges theoretical mathematics with applications in control theory and stochastic processes. Education: PhD thesis on A variational approach to second order mean field games with density constraints (2015), MSc thesis on BV Estimates in Optimal Transportation (2015). Research interests span optimal transport theory, nonlinear PDEs, and their interplay with game theory and probability. Key contributions include analysis of mean field games master equations, convergence rates for particle systems, and well-posedness results for Hamilton-Jacobi-Bellman equations. His publications reflect a focus on monotonicity conditions, conservation laws, and stabilization in dynamic systems. Collaborations include work with leading researchers like Wilfrid Gangbo, Filippo Santambrogio, and Charles Mou. He actively contributes to the academic community through organizing workshops and advancing theoretical frameworks in applied mathematics.

Massimo Trovatoمشاهده پروفایل

استاد

• Mathematical Physics
• Statistical Mechanics
• Quantum Kinetic Theory
• +۶ مورد دیگر

Massimo Trovato is a Full Professor of Mathematical Physics at the University of Catania, where he has been teaching since 2004 and has held the rank of full professor since 2010. He serves as Director of the INDAM Unit of the Department of Mathematics and Informatics (DMI) since 2014. Professor Trovato teaches courses in both the Mathematics and Physics degree programs at the University of Catania. Professor Trovato's research spans multiple areas within mathematical physics, with a particular focus on theoretical frameworks for understanding physical systems. His work integrates advanced mathematical techniques with physical principles to develop models that explain complex phenomena in semiconductor physics, quantum systems, and fluid dynamics. His research interests include: Mathematical Physics Statistical Mechanics Quantum Kinetic Theory Semiclassical Kinetic Theory Extended Thermodynamics Maximum Entropy Principle Quantum Maximum Entropy Principle Semiconductor Physics Fluid Dynamics Professor Trovato's publication record demonstrates a consistent focus on entropy principles and their applications across various physical systems. His work shows an evolution from classical thermodynamics to quantum formulations, with particular emphasis on semiconductor applications and 2D materials like graphene. The research trajectory reveals increasing sophistication in handling nonlocal quantum effects and fractional statistics, reflecting the growing complexity of modern physical systems being studied. Professor Trovato has made significant contributions to the theoretical understanding of transport phenomena in semiconductors, particularly through the application of maximum entropy principles to both classical and quantum systems. His research has important implications for the development of next-generation semiconductor devices. His teaching responsibilities include Analytical Mechanics for Physics students and Mathematical Physics II for Mathematics students, demonstrating his commitment to educating the next generation of physicists and mathematicians.

• Agent-based modeling
• Mathematical modeling in life sciences
• Ordinary and partial differential equation modeling
• +۵ مورد دیگر

Kevin John Painter is a Full Professor (L.240) at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) of Politecnico di Torino. His research focuses on mathematical and computational modeling of spatial-temporal dynamics in natural systems, spanning embryonic development, cancer progression, animal migration, and environmental landscape structuring. Position: Full Professor Institution: Politecnico di Torino Department: DIST (Interuniversity Department of Territorial Sciences, Planning and Policies) Key research interests include agent-based modeling, mathematical biology, differential equations, and pattern formation. His work addresses cancer invasion dynamics, turtle navigation to Ascension Island, whale migration under noise pollution, and environmental change modeling. Recent publications emphasize nonlocal interaction models, phenotypic switching in biological systems, and coupled Turing reaction-diffusion-chemotaxis frameworks. Since 2020, he has taught Calculus, Probability and Statistics, and Linear Algebra at the Architecture and Automotive Engineering programs. He supervises doctoral research in the Urban and Regional Development PhD program. Scientific contributions are reflected in editorial board memberships across six journals, including Mathematical Models and Methods in Applied Sciences and the Royal Society Open Science. Awards: Editorial board member of leading journals. His modeling strategies bridge individual and population-level dynamics, with applications spanning from neural crest cell chemotaxis to glioma tumor invasion. Skills align with ERC sectors PE1_20 (Mathematical Applications) and LS3_9 (Developmental Biology), supporting UN SDGs 3 (Health), 13 (Climate Action), and 14 (Life Below Water).

• Fracture Mechanics
• Multiscale Modeling
• Li-ion Batteries
• +۴ مورد دیگر

Prof. Alberto Salvadori is an Associate Professor at the University of Brescia (Italy) and Research Assistant Professor at the University of Notre Dame (USA). He founded and leads the Multiscale Mechanics and Multiphysics of Materials Lab, focusing on computational modeling of complex physical phenomena across multiple scales. He holds a Ph.D. in Structural Engineering from Politecnico di Milano (2000). His research spans: Fracture mechanics and crack propagation in embrittled materials Multiphysics modeling of Li-ion batteries and energy storage systems Mechanobiology of cell motility and protein relocation Machine learning applications in materials science Granular material behavior and powder compaction His publications show strong focus on: Advanced battery technologies and solid-state electrolytes Multiscale computational methods for materials design Biomechanics of cellular processes Innovative fracture propagation algorithms Awards include: Marie Curie Fellowship (2013) from European Union Research funding from: EU Marie-Curie Sklodowska actions University of Notre Dame Italian Ministry of Education Private industry partners He leads the Multiscale Mechanics and Multiphysics of Materials Lab at University of Brescia, collaborating with Cornell Fracture Group and Patient-based Medicine Lab.

• Petrology
• Volcanology
• Mantle Geochemistry
• +۴ مورد دیگر

Daniele Brunelli is an Associate Professor in the Department of Chemical and Geological Sciences at the University of Modena and Reggio Emilia (Italy). His research bridges petrology, volcanology, and geochemistry, focusing on mantle dynamics, magmatic processes, and tectonic-volcanic interactions at mid-ocean ridges and transform faults. He also contributes to interdisciplinary archaeometric studies, particularly in Mediterranean prehistoric and protohistoric ceramic analysis. Research Interests : Mantle heterogeneity, volcanology, serpentinization, geodynamic modeling, and archaeometry. Recent Publications : Investigate CO2 degassing in mantle rocks, hydrous fluid migration in ultra-slow ridges, and lithospheric heat production using gamma spectrometry. Teaching : Courses in Petrology and Volcanology for Geosciences, and Petrography for Natural Sciences, emphasizing microscopy and geochemical analysis. Collaborations : Active in international ocean drilling projects and field studies at the St. Paul Transform System and Romanche Fracture Zone.