جست‌وجوی استاد و پژوهشگر

Michele Melchioriمشاهده پروفایل

دانشیار

• Information Systems
• Semantic Web Technologies
• Blockchain Integration
• +۷ مورد دیگر

Michele Melchiori is an associate professor at the Università degli Studi di Brescia (Italy) since 1998, specializing in systems for information processing. He holds a PhD in Information Engineering from the University of Brescia and a Master's in Computer Science from the University of Milan. His research focuses on information systems design, semantic-based services, blockchain integration, and smart city technologies. Notable contributions include frameworks for smart contract design, blockchain applications in agri-food supply chains, and IoT-driven solutions for construction quality assurance. His work bridges theoretical advancements with practical implementations, spanning projects funded by collaborative initiatives. Key areas include personalized data exploration using semantic web technologies, trust management in decentralized systems, and healthcare applications like food recommendation systems. He has authored over 80 publications, emphasizing interdisciplinary approaches to data management challenges. Melchiori frequently contributes to academic events such as the Italian Symposium on Advanced Database Systems. His research bridges technical innovations (e.g., blockchain) with societal needs (e.g., smart city infrastructure and post-pandemic healthcare models).

Antoine Lemenantمشاهده پروفایل

استاد

• Calculus of Variations
• Partial Differential Equations
• Geometric Measure Theory
• +۳ مورد دیگر

Antoine Lemenant is a Full Professor at Université de Lorraine (Nancy, France). He holds an IUF (Institut Universitaire de France) membership since 2023. His research focuses on calculus of variations, geometric measure theory, and partial differential equations, with applications to fracture mechanics and optimal design. He has held positions at University Paris 7 (2010-2018) and was a postdoc at the Centro De Giorgi in Pisa (2009-2010). He completed his PhD at Université Paris-Saclay under Guy David in 2008. Key research interests include: Energy minimization problems (Griffith energy, optimal compliance) Regularity theory for free boundaries and crack sets Numerical methods for geometric optimization Spectral optimization and domain perturbations His recent work (2023-2025) explores regularity properties of Griffith almost-minimizers, optimal design of elastic structures, and phase-field approximations of minimal surfaces. He has co-authored over 40 papers in top journals including J. Math. Pures Appl. and Arch. Ration. Mech. Anal. Awards: Member of Institut Universitaire de France (2023-) Current activities: Organizer of international workshops on calculus of variations Supervises a postdoc position starting September 2024 Laboratory affiliation: Institut Elie Cartan de Lorraine (IECL), a CNRS-affiliated mathematics institute.

Lucia PePaمشاهده پروفایل

پژوهشگر

• Telemedicine and Telerehabilitation
• Parkinson's Disease Rehabilitation
• Medical Technology
• +۵ مورد دیگر

Prof. Lucia PePa is a Researcher at the Faculty of Engineering of the Polytechnic University of Marche. Her work focuses on innovative technologies for neurological rehabilitation, particularly Parkinson's disease (PD), leveraging telemedicine, wearable devices, and machine learning. She specializes in developing low-cost tele-rehabilitation systems and AI-driven solutions for symptom monitoring and outcome prediction. Her research integrates interdisciplinary approaches, including cybersecurity for IoT healthcare systems, emotion recognition through physiological signals, and real-time stress detection via computer interaction patterns. She has contributed to projects like RAPIDO and PREPARE, advancing personalized rehabilitation strategies using AI-based patient stratification. Key areas include: telerehabilitation architecture design, wearable sensor data analysis, and clinical trial methodologies for PD interventions. Her publications span from gait analysis using smartphones to ethical considerations in federated learning for healthcare data.

• Demographic Economics
• Macroeconomics
• Economic Development
• +۷ مورد دیگر

Tamara Fioroni serves as Associate Professor in the Department of Economics at the University of Verona. Her academic position falls under the Italian academic sector ECON-01/A - Economics, with research focus areas spanning Macroeconomics, Population Dynamics, and Social Aspects of Health. She maintains an active teaching schedule across multiple degree programs including Economics and Business, Strategic Studies for Security and International Policies, and the PhD in Economics and Finance. Dr. Fioroni earned her PhD in Economics from the University of Pisa and conducted research as a visiting student at the Université catholique de Louvain. Her academic journey has positioned her at the intersection of demographic economics and macroeconomic theory, with particular expertise in how demographic transitions interact with economic development processes. Her research interests concentrate on economic development and demographic transition, distribution of income, human capital accumulation, child labor, and non-linear dynamics. These themes are reflected in her extensive publication record that examines the complex relationships between fertility choices, pension systems, health outcomes, and economic growth trajectories. Her work often employs overlapping generations models to analyze how demographic variables influence long-term economic development. Analysis of her recent publications reveals a strong thematic concentration on demographic economics and its intersection with macroeconomic policy. The most prominent research strands include pension system sustainability amid population aging, intergenerational transfers through grandparental childcare, the relationship between human capital formation and demographic transitions, and how institutional factors like corruption impact economic growth. Her methodological approach frequently combines theoretical modeling with empirical analysis of demographic and economic data. Dr. Fioroni actively contributes to departmental governance as a member of the Economics Department Council, Faculty Board of PhD in Economics and Finance, and Collegio Didattico di Studi Strategici per la Sicurezza e le Politiche Internazionali. She maintains regular office hours in Vicenza, demonstrating her commitment to student engagement and academic mentorship across the University of Verona's campuses.

Carlo Barbanteمشاهده پروفایل

استاد

• Analytical Chemistry
• Paleoclimatology
• Environmental Chemistry
• +۴ مورد دیگر

Carlo Barbante is a Full Professor of Analytical Chemistry at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He also directs the Institute of Polar Sciences at the National Research Council (CNR), leading research on climate proxies in ice cores. His laboratory is based at the Scientific Campus in Venice. Barbante's research focuses on paleoclimate reconstruction using ice cores, trace element geochemistry , and pollutant dynamics in polar regions. Key interests include developing mass spectrometry methods for ultra-trace analysis, studying heavy metals/organic contaminants in ice, and linking atmospheric chemistry to Quaternary climate shifts. His work frequently involves Arctic and Antarctic expeditions. His publications emphasize environmental chemistry and climate science , with recent articles analyzing microplastics in Arctic snow, ice core impurities, and halogen cycling. Trends show a strong focus on high-resolution analytical techniques (e.g., LA-ICP-MS) and interdisciplinary approaches to environmental change. Scientific awards include: ERC Advanced Grant (2010) Membership in Istituto Veneto di Scienze (2013) Premio Ca’Foscari for Research (2010) StartCup Veneto innovation prize (2009) He leads the Laboratory for Complexity Safety and has advised polar research initiatives, including drilling campaigns in Antarctica and Greenland. His team collaborates with international networks like SCAR and IASC.

• Continual Learning
• Deep Learning
• Distributed Learning
• +۳ مورد دیگر

Vincenzo Lomonaco is a Researcher at the University of Pisa's Department of Computer Science, specializing in Continual Learning. He leads the Pervasive AI Lab and holds roles such as Co-Founding President of ContinualAI, a non-profit advancing AI research. His work focuses on deep learning, distributed systems, and AI sustainability, with key contributions including the Avalanche library (winner of the W&B Best Library Award) and foundational research in Continual Learning. Education: PhD in AI from the University of Bologna (2019), recognized as one of Italy's top-5 AI dissertations. Postdoctoral research and visiting roles at institutions like Numenta, Purdue University, and ENSTA ParisTech. Research Interests: Continual Learning dynamics, practical applications, and AI sustainability. Active in industrial collaborations (e.g., Meta, Intel), European projects, and initiatives like FAIR (Future Artificial Intelligence Research). Notable Achievements: Organized the 1st Continual Learning workshop at CVPR 2020, authored an open-access Continual Learning course (430+ students), and co-founded ContinualIST, a University of Pisa spin-off.

Vincenzo Pierroمشاهده پروفایل

دانشیار

• Electromagnetic Fields
• Gravitational Wave Detection
• Signal Processing
• +۳ مورد دیگر

Vincenzo Pierro is an Associate Professor in the Department of Engineering at the University of Sannio. His work focuses on gravitational wave detection, electromagnetic fields, and signal processing. He has contributed to groundbreaking research in astrophysics, including studies of neutron stars, black hole binaries, and detector optimization for advanced gravitational wave observatories like LIGO and Virgo. Collaborates with international teams such as the LVC Collaboration and KAGRA. Expertise includes metamaterials, optical coatings, and interferometric techniques. His research spans theoretical and experimental physics, with a focus on improving detector sensitivity and analyzing gravitational wave signals from cosmic events like supernovae and black hole mergers.

• Geometric Measure Theory
• Sub-Riemannian Geometry
• Calculus of Variations
• +۳ مورد دیگر

Francesco Serra Cassano is a Full Professor in the Department of Mathematics at the University of Trento. His research focuses on geometric measure theory, sub-Riemannian geometry, and calculus of variations, with significant contributions to minimal surfaces, PDEs in metric spaces, and functional analysis. He has organized numerous conferences, including the XXXV Convegno Nazionale di Calcolo delle Variazioni (2026) and the 13th School on Analysis and Geometry in Metric Spaces (2024). He has also been an invited speaker at events like the PaPa - Padua Paris sub-Riemannian seminar (2021). Key research interests include intrinsic regularity in Heisenberg groups, Γ-convergence, and geometric analysis in Carnot groups. His work bridges theoretical advancements with applications in geometric measure theory and nonlinear PDEs. Over 30 publications span topics such as area formulas in sub-Riemannian spaces, BV minimizers, and approximation theorems for Lipschitz functions. His academic engagements include organizing international workshops and schools, reflecting his leadership in the geometric analysis community. No scientific awards are explicitly listed in the provided text.

Giorgio Stefaniمشاهده پروفایل

استادیار

• Analysis of Partial Differential Equations (PDEs)
• Functional Analysis
• Metric Geometry
• +۴ مورد دیگر

Giorgio Stefani is a Fixed-Term Researcher (Ricercatore a Tempo Determinato di tipo A - RTDA) at the Department of Mathematics, University of Padova (Italy). He holds a Ph.D. in Mathematics from Scuola Normale Superiore of Pisa (2020) and has held postdoctoral positions at the University of Basel (2020-2022) and SISSA Trieste (2022-2024). Ph.D.: Mathematics, Scuola Normale Superiore di Pisa (2020) PostDoc: University of Basel (2020-2022) PostDoc: SISSA Trieste (2022-2024) Current: Fixed-Term Junior Assistant Professor, University of Padova (2024-) His research focuses on Analysis of PDEs , Functional Analysis , and Metric Geometry , with particular emphasis on: Fractional calculus and non-local functionals Geometric measure theory and perimeter minimization Sharp inequalities in Sobolev spaces Applications to Euler and Vlasov-Poisson systems Topological singularities in variational problems His recent publications demonstrate a strong trend toward Gamma-convergence of fractional energies , Hardy inequalities , and non-local perimeters . He actively participates in geometric analysis seminars and workshops, including the 2022 Rome workshop on anisotropic isoperimetric problems. Contact: giorgio.stefani@unipd.it | giorgio.stefani.math@gmail.com

• Geometric Measure Theory
• Partial Differential Equations (PDEs)
• Calculus of Variations
• +۴ مورد دیگر

Guido De Philippis is a Full Professor at the Courant Institute of Mathematical Sciences, New York University. His research focuses on geometric measure theory, partial differential equations, and calculus of variations. He has contributed to advancing understanding in minimal surfaces, optimal transport, and free boundary problems. His work often bridges geometric analysis with nonlinear PDE theory, addressing questions of regularity, existence, and stability. Affiliations: Courant Institute of Mathematical Sciences (NYU). Education: PhD in Mathematics (2013, Sobolev regularity for Monge-Ampère equations). De Philippis’s research interests include geometric flows, spectral optimization, and the structure of measures constrained by PDEs. His papers explore topics like anisotropic minimal surfaces, regularity of free boundaries, and quantitative isoperimetric inequalities. Notable contributions include foundational work on the Monge-Ampère equation and optimal transport theory. He has been recognized with the Chaire De La Vallée Poussin Prize Lectures (2020/21) and has organized conferences in geometric analysis and PDEs. His collaborations span across institutions, reflecting his international impact in mathematics.

• Thermodynamics
• Heat Transfer
• Fluid Dynamics
• +۴ مورد دیگر

Marco Cavazzuti is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His research focuses on thermodynamics, fluid dynamics, and energy systems, with a particular emphasis on computational fluid dynamics (CFD), heat transfer, and renewable energy applications. Cavazzuti teaches courses in Energy Engineering, Thermofluid Dynamics, and Industrial Heat Engineering, integrating theoretical and practical components with computational tools like OpenFOAM and Python. His research interests include multi-scale modeling of respiratory droplet transport for infectious disease risk assessment, plate-fin heat exchanger optimization, and thermal management of electric motors. He has contributed to projects like the IDEAS initiative for multi-source heat pump systems and the analysis of tunnel ventilation systems using 1D finite volume models. Cavazzuti's work spans both academic and industrial collaborations, addressing challenges in energy efficiency, CFD validation, and thermal system design. Key research trends in his publications include CFD-based modeling of complex flows (e.g., micro-channels, swirled jets), epidemiological droplet transport analysis, and optimization of thermal systems for renewable energy integration. He has also explored applications in automotive chassis design and cardiovascular flow dynamics using ultrasound and computational methods.

• Mechanical Engineering
• Structural Engineering
• Materials Science
• +۷ مورد دیگر

Enrico RADI is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia. His academic roles include teaching advanced courses in mechanical and structural engineering, such as Mechanics of Machines and Structures, Sustainable Industrial Building Design, and Rational Mechanics. His research focuses on mechanics of materials, structural analysis, nanotechnology, and biomaterials engineering. Key areas include contact mechanics, composite materials, and micro/nano-scale systems. He has published extensively on topics ranging from advanced structural analysis to biomechanical applications of metamaterials. Teaching responsibilities span multiple engineering disciplines, including courses in mechatronics and management engineering programs. His research integrates theoretical models with computational simulations (e.g., FEA) and experimental validation, as seen in his work on auxetic meta-biomaterials and nano-scale electromechanical systems. Office location: Via Amendola 2 Pad. Morselli, Reggio Emilia. Student reception hours: Wednesdays 3–5 PM. ORCID: 0000-0002-7410-3008. Recent research highlights include studies on carbon nanotube tweezers, functionally graded materials (FGM), and biomimetic scaffolds for orthopedic implants. His work bridges classical mechanics with modern applications in nanotechnology and sustainable engineering.

• Electronics Engineering
• Semiconductor Devices
• Material Science
• +۳ مورد دیگر

Andrea Padovani is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Sciences and Methods of Engineering. His research focuses on semiconductor materials, dielectric breakdown mechanisms, ferroelectric devices, and reliability engineering. He teaches courses such as 'ELETTRONICA APPLICATA' and contributes to the development of advanced materials and modeling techniques for electronic devices. Research Interests: Material Science: Dielectric materials, ferroelectric properties, and semiconductor reliability. Nanotechnology: Analysis of defects and degradation in nanoscale devices. Electronics Engineering: Design and optimization of memory devices (e.g., NAND, RRAM) and transistor technologies. Publications Overview: Recent work includes studies on plasma treatment for defect passivation, ferroelectric NAND reliability, and self-healing capacitors. His research integrates multi-scale simulations (e.g., Ginestra platform) to bridge material properties and device performance. Grants and Advising: No specific grants or student advisees listed in the provided materials. Labs/Teams: Collaborates with teams using the Ginestra simulation platform for device modeling and reliability analysis.

• Computer Science
• Artificial Intelligence
• Distributed Systems
• +۳ مورد دیگر

Giacomo CABRI is a Full Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Physical, Computer and Mathematical Sciences. His roles include teaching advanced courses such as Distributed Algorithms, Object-Oriented Programming, and Software Development Methodologies across multiple disciplines including Computer Science, Mathematics, and Medicine. His research focuses on distributed systems, autonomous vehicles, smart cities, and digital twins, with a strong emphasis on applying AI and machine learning to real-world challenges. He actively contributes to academic communities through editorial roles and conference organization. Research interests span distributed algorithms, multi-agent systems, smart infrastructure, and socio-technical systems. His work bridges theoretical foundations with practical applications in transportation, manufacturing, and environmental monitoring. Recent publications highlight innovations in autonomous vehicle coordination, digital twin implementations, and context-aware systems. Teaching responsibilities include courses for Computer Science, Mathematics, and interdisciplinary programs such as Medicine and Dentistry. He integrates hands-on labs and project-based learning, emphasizing practical software development and algorithm design. His courses cover topics like object-oriented programming in Java, distributed systems, and big data architectures. Professional activities include organizing workshops on adaptive computing and collective intelligence, and leading projects like the FIRST initiative for virtual factories. His work addresses challenges in interoperability, scalability, and self-adaptation in complex systems. He maintains a personal website and is active in international collaborations through platforms like ORCID (0000-0002-4942-2453).

Claudio Sterleمشاهده پروفایل

دانشیار

• Operations Research
• Logistics Optimization
• Operations Management
• +۶ مورد دیگر

Claudio Sterle is an Associate Professor in Operations Research at the University of Naples Federico II, affiliated with the Department of Electrical Engineering and Information Technology (DIETI-UNINA). He also maintains an affiliation with the IASI-CNR Institute for Systems Analysis and Computer Science. His work focuses on optimization methodologies applied to logistics, transportation systems, healthcare management, and manufacturing processes. Research interests include: Combinatorial optimization and integer programming Logistics network design involving drones and multi-agent systems Healthcare operational efficiency (e.g., operating room scheduling) Transportation systems optimization (modal shift incentives, freight distribution) Algorithm development for cutting problems and facility location Recent work emphasizes practical applications like optimizing emergency room operations in Naples hospitals and developing drone-truck collaboration logistics models. His contributions to mathematical programming formulations for complex routing and coverage problems have been widely applied in both academic and industrial contexts. He leads the Optimization and Problem Solving Laboratory, focusing on bridging theoretical optimization research with real-world problem-solving. Teaching efforts include developing problem-based learning strategies for mathematics education through the OPS4Math project.