جست‌وجوی استاد و پژوهشگر

• Fluid Mechanics
• Multiphase Flow Modeling
• Numerical Simulation
• +۳ مورد دیگر

Marcus Herrmann is a Professor of Aerospace and Mechanical Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. He is also affiliated with the Center for Negative Carbon Emissions. His research focuses on fluid mechanics, multiphase flows, atomization processes, and numerical methods for discontinuous interfaces. Herrmann holds a PhD in Mechanical Engineering from RWTH Aachen University (2001) and a Diplom (1995). His career includes a postdoctoral fellowship at Stanford University's Center for Turbulence Research (CTR) and a visiting scientist position at the University of Technology Eindhoven, Netherlands. He has secured major grants from NASA, NSF, and industry partners like Honeywell, focusing on atomization modeling, supersonic crossflows, and turbulence simulations. Research interests span computational fluid dynamics, multiphase flow simulation, and LES/DNS methodologies. His recent work emphasizes high-fidelity numerical techniques for particle-resolved simulations and phase interface dynamics. Teaching includes courses like MAE 561 (Computational Fluid Dynamics) and MAE 384 (Advanced Math Methods for Engineers). He actively advises students through research and dissertation roles. Notable projects include modeling wax deposition in pipelines and developing novel approaches for interface dynamics in turbulent flows. His work bridges fundamental fluid mechanics with industrial applications like combustion systems and porous media modeling.

• Computational Fluid Dynamics
• Discontinuous Galerkin Methods
• Finite Volume Methods
• +۶ مورد دیگر

Michael Dumbser is a Full Professor at the University of Trento's Department of Civil, Environmental and Mechanical Engineering. His research focuses on computational fluid dynamics, numerical methods for hyperbolic conservation laws, and high-performance computing. He specializes in developing structure-preserving numerical schemes such as discontinuous Galerkin and finite volume methods for continuum mechanics, relativistic fluid dynamics, and multiphase flows. Teaching responsibilities include courses like Calcolo numerico e programmazione , High-Performance Computing for Multi-Functional Metamaterials , and Metodi numerici per l'ambiente . His work emphasizes thermodynamically compatible formulations and adaptive numerical methods for complex physical systems. Recent research trends involve hyperbolic reformulations of classical models (e.g., Navier-Stokes-Korteweg, Einstein equations), staggered semi-implicit schemes for incompressible flows, and GPU-accelerated algorithms. His publications span topics from geophysical fluid dynamics to relativistic astrophysics, with a focus on maintaining physical conservation principles in numerical implementations. No scientific awards are explicitly listed in the provided information. His advising record is not detailed here, though his courses suggest involvement in student mentorship. Research collaborations include projects on metamaterials and computational geophysics. Current initiatives include developing unified models for earthquake rupture dynamics, non-Newtonian fluid simulations, and adaptive mesh refinement techniques. His lab work involves high-performance computing frameworks like ExaHyPE for large-scale wave propagation studies.

Salvatore Ruggieriمشاهده پروفایل

استاد

• Algorithmic Fairness
• Explainable AI
• Causality and Uncertainty
• +۵ مورد دیگر

Salvatore Ruggieri is a Full Professor at the Department of Computer Science, University of Pisa, Italy. He coordinates the National PhD Program in Artificial Intelligence for Society and teaches in the Master Program in Data Science and Business Informatics. His research focuses on algorithmic fairness, explainable AI, causality, and discrimination discovery, with contributions to tools like YaDT, X-SPELLS, and SCube. He co-chaired FAT*2020 and contributed to projects such as NoBias and HumanE-AI. His work bridges theoretical foundations with practical applications in fairness, privacy, and societal impact. Education: Ph.D. in Computer Science (1999), University of Pisa. Research Interests: Algorithmic Fairness and Non-Discrimination Explainable AI (XAI) Causal Inference Methods Decision Tree Algorithms Social Network Analysis Key Contributions: Developer of YaDT (decision tree tool) and SCube (segregation discovery). Advocacy for ethical AI through policy frameworks and GDPR-compliant explanations. Scientific Awards: Recipient of the Best Ph.D. Thesis in Theoretical Computer Science (EATCS, 1999).

• Numerical Analysis
• Numerical Methods for Partial Differential Equations
• Virtual Element Methods
• +۱۴ مورد دیگر

Stefano Scialo' is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as the contact person for the Bachelor's Degree Program in Mathematics for Engineering (L3). His academic journey began with a Master’s in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), both from the same institution. After his PhD, he held postdoctoral and Assistant Professor positions at DISMA before being promoted to Associate Professor. Education: PhD in Mathematics for Engineering, Politecnico di Torino, 2014 Master in Aerospace Engineering, Politecnico di Torino, 2007 His research focuses on advanced numerical methods for partial differential equations, particularly in the context of complex multiscale and multiphysics systems. Key areas include the Virtual Element Method (VEM), domain decomposition techniques based on PDE-constrained optimization, and the simulation of flows in fractured porous media. He has made significant contributions to 3D-1D coupled problems, with applications in geosciences and biomedical modeling such as tumor-induced angiogenesis. His methodological work emphasizes robustness, scalability, and applicability to non-conforming and polygonal meshes, enabling high-performance computing solutions. The trend in his recent publications reveals a strong emphasis on developing and analyzing mixed virtual element methods, optimization-based coupling strategies, and their applications to engineering and biological systems. His work bridges theoretical numerical analysis with practical implementations in fluid dynamics and subsurface flow. Scientific Contributions: Principal Investigator of the FREYA project (2023–2026) on hybrid numerical approaches for fault reactivation. Coordinator of the INdAM-GNCS research project (2018–2019). Member of the research group "Numerical Analysis and Scientific Computing" at DISMA. Stefano Scialo' actively supervises doctoral students, including Matteo Trombini in the PhD program in Mathematical Sciences. He teaches a range of courses such as Advanced Scientific Programming in MATLAB, Numerical Methods and Scientific Computing, and specialized topics on Virtual Element Methods. He also contributes to curriculum development and academic governance through roles in doctoral colleges and degree program committees, including those for Mathematical, Mechanical, Aerospace, and Automotive Engineering. Laboratories and Research Groups: Member, Interdepartmental Center Ec-L - Energy Center Lab Research Group: Numerical Analysis and Scientific Computing (DISMA)

• 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.

Riccardo Piccoliمشاهده پروفایل

پژوهشگر

• Electronics
• Quantum Optics
• Terahertz Technology
• +۵ مورد دیگر

Riccardo Piccoli is a Researcher at the Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice. He serves as a Laboratory Supervisor at the Research Institute for Complexity Safety and teaches courses such as Fundamentals of Electronics in the Physical Engineering degree program. PhD in Electronic, Computer, and Electrical Engineering (University of Pavia, 2014) Master's in Electronic Engineering (University of Pavia, 2011) Bachelor's in Electronic and Telecommunications Engineering (University of Pavia, 2009) His research focuses on ultrafast lasers and terahertz technology, particularly in quantum matter-light interactions and hollow-core fiber applications . Recent work includes terahertz imaging techniques and high-power laser pulse compression. He collaborates with institutions across Europe, North America, and the Middle East. Dr. Piccoli's publications highlight advancements in terahertz coherent detection , nonlinear photonics , and microfluidic waveguides . He leads research projects involving quantum optics, nanocavity interactions, and biomedical imaging applications. He is affiliated with the Research Institute for Complexity Safety and has held research roles at Polytechnic University of Milan, Weizmann Institute of Science, Max-Planck-Institut für Kernphysik, and INRS-EMT. His expertise spans terahertz spectroscopy, ultrafast phenomena, and photonic material design.

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۵ مورد دیگر

Alessandro Evangelista is an Assistant Professor at the Polytechnic University of Bari, Italy, within the Department of Mechanics, Mathematics & Management. His scientific-disciplinary sector is ING-IND/15, focusing on Design methods for industrial engineering. His research integrates Virtual, Augmented and Mixed Reality technologies into industrial and training contexts, with strong attention to ergonomics, safety, and human factors. Research Interests Virtual Reality (VR) and immersive simulation for industrial training and safety Augmented Reality (AR) interface design and ergonomic assessment Mixed Reality (MR) applications in product lifecycle and medical prosthesis design Human-computer interaction, cognitive workload, and age-related performance in XR systems Industry 4.0 smart maintenance and real-time data visualization Recent works repeatedly explore how immersive technologies can enhance learning outcomes, safety behaviors, and user experience across manufacturing, retail, maritime navigation and healthcare domains. Studies often adopt comparative user evaluations, ergonomic assessment protocols (e.g., RULA), and multidimensional performance metrics. Publications Trend From 2020 to 2025 Evangelista authored numerous peer-reviewed articles concentrated on immersive technologies. Major themes include: (1) VR training effectiveness for confined spaces and industrial tasks, (2) AR visualization for maintenance and navigation, (3) ergonomic and age-related factors in XR, and (4) application of cinematic VR for safety attitude change and mental-health rehabilitation. His output evidences systematic review work, empirical user studies, and tool prototyping, positioning him at the intersection of design engineering and interactive technologies. Scientific Awards & Grants No specific awards or funded projects are mentioned in the supplied material. Advising & Labs No explicit list of students or research group descriptions are provided; therefore advising activity and laboratory affiliations cannot be detailed at present.

Andrea Salustriمشاهده پروفایل

پژوهشگر

• Landscape Studies
• Tourism Economics
• Social and Solidarity Economy
• +۸ مورد دیگر

Andrea Salustri is a Tenure-Track Researcher (Ricercatore Tenure Track SECS-P/03) at Sapienza University of Rome, Department of Legal and Economic Studies, Faculty of Law. They teach courses in Public Finance Science (Scienza delle Finanze) and Economic Analysis of Law (Analisi Economica del Diritto), with teaching responsibilities spanning both undergraduate law and public administration programs. Dr. Salustri earned a PhD in Economic Theory and Institutions from the University of Rome Tor Vergata in 2011, following a Master in Development Policies and Cohesion and Evaluation of Public Investments (2007) from the NUVAL Consortium and a first-class honors Bachelor's degree in Economics and Commerce from the University of Rome Tor Vergata (2005). Dr. Salustri's research spans multiple interconnected domains of economic and social inquiry. Their primary focus lies at the intersection of social and solidarity economy with sustainable territorial development, examining how alternative economic models can address regional disparities and promote inclusive growth. They have made significant contributions to landscape economics, particularly exploring the relationship between cultural landscapes as common goods and sustainable development. Their work on tourism economics emphasizes proximity tourism, internal areas, and the recovery potential of regional tourism markets, especially in the Lazio region. Additional research strands include workplace safety analysis, European welfare systems, and the application of multidimensional approaches to measuring social inequalities. Dr. Salustri's publication record reveals a consistent focus on social and solidarity economy frameworks, with numerous articles examining their role in addressing social exclusion, promoting sustainable development, and creating alternative economic pathways. Their recent work has increasingly incorporated post-pandemic economic recovery considerations, particularly in tourism sectors and regional development contexts. The research demonstrates methodological diversity, employing both qualitative case studies and quantitative analyses of European welfare systems and labor market dynamics. Dr. Salustri actively participates in scholarly networks including CIRIEC International's Commission on Social and Cooperative Economy (since 2018) and previously served on the editorial committee of the journal "Documenti Geografici" (2017-2023). They were also involved with ASVIS (Alliance for Sustainable Development) working group on Goal 8 (2018-2022) and various CIRIEC International research groups focused on commons, social economy enterprises, and global public goods. Within institutional contexts, Dr. Salustri contributes to research initiatives at Sapienza University's Institute of Economics and Finance, with particular focus on public finance analysis, regional development, and social protection systems. Their work often bridges theoretical economic frameworks with practical policy applications, particularly in the Italian and European contexts.

Tommaso Grigolettoمشاهده پروفایل

استاد مدعو

• Quantum Mechanics
• Control Engineering
• Theoretical Physics
• +۳ مورد دیگر

Tommaso Grigoletto is an Adjunct Professor at the Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice, and a Postdoctoral Fellow at the Department of Information Engineering, University of Padua. His research focuses on theoretical and numerical methods for complex dynamical systems, particularly quantum and classical probability models. He is part of the Quantum Dynamics, Information and Control group at the University of Padua, led by Prof. Francesco Ticozzi. Education: Ph.D. and Master's degrees in Information Engineering from the University of Padua. Research interests include quantum system control, model reduction techniques, and feedback stabilization strategies. He teaches 'Fundamentals of Automatic Controls' at Ca' Foscari University (2024-2025). His articles explore quantum model reduction, feedback control for quantum systems, and stochastic dynamics. He is actively mentoring students interested in control engineering and quantum systems simulations. Open to collaborative research and thesis supervision in these areas. Professional networks include the Quantum Dynamics group at Padua and academic affiliations with both universities. Engaged in open-source projects like an arXiv update bot for tracking research trends.

• Clinical Psychology
• Health Psychology
• Child and Adolescent Mental Health
• +۱۲ مورد دیگر

Claudia Mazzeschi is a Professor at the University of Perugia, Faculty of Education Sciences. She serves as Coordinator of the Master's Degree in Assessment of Individual Functioning in Clinical and Health Psychology and the Doctoral Program in Human Sciences, indicating a central role in academic leadership and graduate training. Her research focuses on clinical and health psychology, with particular emphasis on child and adolescent mental health, psychological assessment, eating disorders, attachment, trauma, emotion regulation, and mindfulness-based interventions. She actively investigates the psychosocial impact of the COVID-19 pandemic and contributes to the validation of psychological instruments in Italian populations. Her work integrates psychodynamic theory with empirical research, especially in diagnostic systems like the Rorschach and Adult Attachment Projective System. The most recent publications show a strong trend toward transdiagnostic and multidimensional approaches to psychopathology, cultural influences on well-being, and the neurobiological underpinnings of mental illness. She frequently employs systematic reviews, validation studies, and longitudinal designs across European samples. While no formal list of awards is provided, her extensive publication output and program coordination roles reflect significant scholarly recognition. She advises graduate students and doctoral candidates, particularly within the programs she coordinates, though specific names are not listed. Her research is likely supported by university and national grants related to mental health, pandemic response, and psychological assessment development. She contributes to multi-method assessment practices and the integration of psychodynamic and evidence-based approaches. Claudia Mazzeschi is involved in research teams focused on developmental psychopathology, family processes, and innovative interventions such as mindful movement (Movimento Biologico). Her work with the tutoring service at the Faculty of Education Sciences suggests engagement in academic support and pedagogical innovation.

• Sociology of Work
• Digital Labor
• Precarious Labor
• +۳ مورد دیگر

Francesca Coin is a Fixed-term researcher in the Department of Systems Engineering and Industrial Technologies (DISTI) at the University of Parma. She teaches courses including Sociology of Work for the Master's Degree in Organizational, Digital and Administrative Innovation in the Public Administration, as well as Work and Society in the Digital Age and Economic Sociology of Work for the Bachelor's degree in Management Engineering. Dr. Coin's research focuses on the sociology of work, particularly examining precarious labor, digital transformations of work, social reproduction, and the impact of neoliberalism on contemporary labor relations. Her work explores how workers navigate changing economic landscapes, with special attention to desertion from undesirable jobs, class recomposition, and the ambivalent relationship between workers and the digital revolution. She investigates how technological changes have reshaped work identities and created new forms of exploitation while simultaneously offering potential avenues for resistance. Her publications span multiple theoretical frameworks including Marxist feminism, post-structuralist analyses of subjectivity, and critical examinations of digital capitalism. Analysis of Coin's recent publications reveals a consistent focus on contemporary labor issues across multiple dimensions. Her work spans theoretical examinations of precarity and neoliberal subjectivity alongside empirical studies of specific sectors like the restaurant industry. A notable trend is her attention to how workers respond to changing conditions—whether through desertion, reorganization, or resistance. Her research bridges sociology, political economy, and cultural studies, creating a multidimensional understanding of work in the 21st century. The temporal progression of her work shows an evolution from broader theoretical frameworks toward more specific case studies while maintaining a critical perspective on power relations in labor contexts. Francesca Coin has mentored numerous students through her teaching roles in Management Engineering programs at the University of Parma. Her courses on the sociology of work, economic sociology, and work in the digital age provide students with critical perspectives on contemporary labor markets and organizational dynamics. While specific grant information is not detailed in the available materials, her extensive publication record across multiple decades suggests sustained research activity supported by institutional and potentially external funding mechanisms. Her methodological approach appears to combine theoretical analysis with empirical investigation, particularly evident in her recent case study of the Italian restaurant industry, and she demonstrates engagement with oral history through her 2024 publication 'The Terkel Method: Work, Social Inquiry and the Art of Astonishing'.

• Artificial Intelligence
• Neuromorphic Computing
• Brain-inspired Computing
• +۱۳ مورد دیگر

Vittorio Fra is a Fixed-term Assistant Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino, where he conducts research in artificial intelligence, neuromorphic computing, edge computing, and robotics. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and contributes to interdisciplinary research bridging engineering, nanotechnology, and smart urban systems. His research interests center on AI and neuromorphic computing for industrial and IoT applications , with strong emphasis on brain-inspired computing, memristive devices, and nanoscale technologies. His work spans from low-level hardware characterization to high-level algorithm design, integrating machine learning, bio-inspired computing, and scientific simulation. He actively explores neuromorphic solutions for real-world edge applications such as human activity recognition, smart traffic control, and assistive technologies like Braille readers. The trend across his recent publications (2022–2025) reveals a consistent focus on deploying spiking neural networks and neuromorphic architectures on commercial edge devices, optimizing neural execution, developing benchmarking tools (e.g., NeuroBench, WiN-GUI), and validating neuromorphic solutions on practical problems like Sudoku and the knapsack problem. His work bridges theoretical AI with applied engineering, targeting sustainability and innovation in infrastructure and urban communities. Scientific Awards: No scientific awards explicitly mentioned in the text. Advising and Grants: Vittorio Fra supervises Filippo Aisa , a PhD candidate in Electrical, Electronic, and Communications Engineering. He leads a commercially funded research project titled Supporto allo sviluppo di un smart digital water distributor monitoring system (2025–2026) , serving as the Scientific Responsible. His teaching roles include PhD instruction, course collaboration, and invited membership in academic councils across engineering and planning programs. Labs and Research Teams: He is a member of the PoliTO Interdepartmental Centre for Service Robotics (PIC4SeR) , a multidisciplinary research center focused on robotics for societal applications. His collaborations span multiple institutions and projects, involving teams working on neuromorphic ecosystems (e.g., Lava-Loihi), wireless sensor networks, and brain-inspired computing frameworks.

Francesco Serafinoمشاهده پروفایل

مدرس

• Data Mining
• Knowledge Discovery
• Multi-relational Data Mining
• +۳ مورد دیگر

Francesco Serafino is affiliated with the University of Bari's Department of Computer Science, holding roles as a postdoc research associate and temporary lecturer. He completed his PhD in 2017 with a thesis on Structured Output Prediction in Network Data, following a Master's Degree in Computer Science from the same institution. His research focuses on data mining, multi-type classification, and structured prediction. Education: PhD in Computer Science (2017), University of Bari Master's Degree in Computer Science, University of Bari Research interests include multi-relational data mining, heterogeneous network analysis, and ensemble learning methods. His work has been published in top conferences and journals, addressing challenges in classification and clustering across diverse data types. Francesco has served as a reviewer for international conferences and manages the LACAM Laboratory's Knowledge Discovery and Data Engineering research group. He contributes to software development and maintains a personal webpage at http://www.di.uniba.it/~serafino .

• Communication design
• Design for all
• Design for crafts
• +۱۲ مورد دیگر

Marco Bozzola is an Associate Professor at the Department of Architecture and Design (DAD) of Polytechnic University of Turin. He serves as Deputy Coordinator of the College of Architecture and Design and holds key roles in Polito's Spin-Off Evaluation Commission and Patent Commission. Research areas: Design for Cultural Heritage, Design for Territory, Packaging Design ERC sectors: SH5_8 (Cultural heritage), PE8_10 (Industrial design), SH7_5 (Sustainability sciences) His work focuses on enhancing cultural heritage through multidimensional design interventions, including signage systems, narrative artifacts, and inclusive strategies. He explores sustainable packaging solutions and territorial development projects, particularly for SMEs and artisanal businesses. Recent publications analyze intercultural design methodologies and environmental sustainability in packaging. Prof. Bozzola holds editorial roles in ARCHALP (2018-) and Architecture Design Technology (2017-) and has received prestigious awards like ADI Compasso d'Oro (2013). He supervises PhD students Claudia Rolletto, Monica Oddone, and Irene Caputo.

• Manufacturing Engineering
• Sustainability
• Human Factors
• +۳ مورد دیگر

Graziana Blandino is a PhD candidate in Management, Production and Design (38th cycle, 2022-2025) at the Polytechnic University of Turin, Department of Management and Production Engineering (DIGEP). She serves as an External Collaborator for Internationalization, Cooperation, Alliances and Mobility (INCAM) and for Students, Teaching and Internationalization (STUDI), while also functioning as an external lecturer and teaching assistant within DIGEP. Her research centers on manufacturing engineering with interdisciplinary emphases: social sustainability in production systems, workload/stress evaluation in advanced manufacturing, and stimuli-driven idea generation. Key areas include human factors integration, innovation management frameworks, and sustainable product development methodologies, reflecting a strong focus on operational and ethical dimensions of industrial engineering. Her publication trajectory since 2023 demonstrates growing expertise in bridging industrial engineering with human-centric metrics, evidenced by contributions to high-impact journals like the International Journal of Production Research and Scientific Data. Current work explores social sustainability benchmarks and multidimensional stress datasets, indicating a shift toward data-driven sustainability assessment in manufacturing. As an educator, she actively collaborates on graduate and undergraduate courses including Innovation Management and Product Development across Management Engineering and Design programs, translating research insights into pedagogical practice.