Find Academic Supervisors

• Numerical Analysis
• Virtual Element Methods
• Finite Element Analysis
• +7 more

Stefano Scialò is an Associate Professor at the Department of Mathematical Sciences (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as Academic Advisor for Mathematics for Engineering. His academic journey at Politecnico di Torino began with a Master's degree in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), after which he progressed from postdoctoral fellow to Assistant Professor and ultimately to his current position as Associate Professor. Scialò's research focuses on advanced numerical methods with particular emphasis on Virtual Element Methods (VEM), development of discretization strategies for non-conforming meshes, and numerical approaches for coupled problems with high dimensionality gaps (3D-1D). His work addresses flow simulation in complex geometries, PDE-constrained optimization, and uncertainty quantification techniques. He has made significant contributions to the development of domain decomposition strategies based on optimization approaches, which have applications in porous media flow, fracture modeling, and biomedical simulations. Analysis of his recent publications reveals a consistent focus on extending and refining the Virtual Element Method framework, particularly for challenging applications involving complex geometries, fractures, and multi-dimensional coupling. His work demonstrates a strong integration of theoretical development with practical implementation, often targeting high-performance computing environments. The research spans multiple application domains including geoscience, biomedical engineering, and computational fluid dynamics, showcasing the versatility of his numerical approaches. Scialò actively supervises graduate students, with Matteo Trombini currently pursuing a PhD under his guidance in the Mathematical Sciences program. He contributes to multiple research projects, most notably as Scientific Director of the FREYA project (2023-2026) focused on fault reactivation modeling. His teaching portfolio is extensive, covering advanced numerical methods, scientific computing, and mathematical foundations across various engineering disciplines at both undergraduate and graduate levels. He participates in multiple research networks including the INdAM-GNCS Project (2018-2019) and aligns his work with Sustainable Development Goals related to quality education, industry innovation, and sustainable cities. His research group within DISMA focuses on Numerical Analysis and Scientific Computing, with particular expertise in 3D-1D coupled problems.

GIOVANNI BRUNOView profile

Assistant Professor

• Orthodontics
• Dentistry
• Craniofacial Disorders
• +3 more

Giovanni Bruno is an Assistant Professor at the University of Padova. His research focuses on orthodontic treatments, temporomandibular joint disorders, sleep apnea management, and craniofacial developmental studies. He has contributed to advancements in digital surgical planning, mandibular advancement devices, and biomechanical analysis of orthodontic appliances. Key research areas include: Orthodontic appliance design and efficacy Obstructive sleep apnea multidisciplinary treatment Craniofacial anomalies (cleft lip/palate) Computational modeling for surgical planning Oral health outcomes in pediatric populations His recent publications highlight trends in: Virtual surgical planning accuracy Biomechanical effects of orthodontic appliances Patient compliance factors for dental devices CT/CBCT imaging applications Dr. Bruno has no listed scientific awards but maintains active clinical research. His work integrates biomechanical analysis with clinical outcomes, focusing on both adult and pediatric populations. No grants or lab affiliations are explicitly mentioned in the provided data.

• Earthquake Engineering
• Structural Engineering
• Disaster Resilience
• +5 more

Ali Zamani Noori is a researcher in the Department of Structural, Building and Geotechnical Engineering at the Polytechnic University of Turin. He completed his doctoral thesis titled 'Resilience Assessment of the Built Environment of a Virtual City' in May 2019 and has been actively publishing research through 2021. His work focuses on earthquake engineering, structural analysis, and community resilience frameworks, with particular emphasis on school buildings, historical artifacts, and urban environments. Dr. Zamani Noori's research interests center on seismic risk assessment and disaster resilience engineering. His work applies computational methods to evaluate building stock vulnerability, develops frameworks for community resilience measurement, and integrates Building Information Modeling (BIM) with structural assessment techniques. He has made significant contributions to the PEOPLES framework for measuring urban community resilience across seven dimensions: Population, Environment, Organized governmental services, Physical infrastructures, Lifestyle, Economic, and Social capital. His publication record demonstrates expertise in large-scale seismic simulations, post-earthquake emergency response systems, and multi-hazard analysis approaches. The research shows a strong trend toward developing practical tools for policymakers and emergency managers, with applications in both Italian and international contexts, including the San Francisco Bay Area. Dr. Zamani Noori has collaborated extensively with Professor Gian Paolo Cimellaro and other researchers at the intersection of structural engineering, urban planning, and disaster management. His work often addresses the Italian context, particularly the vulnerability of school buildings, with over 60% of Italy's 40,000 school buildings constructed before modern seismic standards.

Giampaolo BellaView profile

Professor

• Cyber Security
• Human Element
• Data Protection
• +5 more

Giampaolo Bella is a Professor at the Department of Mathematics and Computer Science, Università degli Studi di Catania, Italy. He holds a Ph.D. from the University of Cambridge (2000) and a Laurea cum laude from Università di Catania (1995). His research focuses on Cyber Security, IoT, Automotive Security, Privacy Threats, and Formal Methods. He has held visiting roles at institutions including Royal Holloway University of London and SAP Research France. Education: Ph.D., Computer Laboratory, University of Cambridge (2000); Laurea in Computer Science, Università di Catania (1995) Postdocs: TU München (2000), Cambridge (2001–2003) Affiliations: Chief Cyber Security Advisor, ICT Cyber Consulting (since 2019) Research interests span IoT security, automotive cybersecurity, privacy-preserving frameworks, and ontology-based compliance verification. Key contributions include the SPADA threat modeling methodology and SecOnto ontology for security directives. His work bridges formal methods with practical applications in smart devices and blockchain. Recent articles emphasize IoT vulnerabilities, automotive cybersecurity, and privacy in digital forensics. Awards include inclusion in Cambridge's 'Distinguished Dissertations' scheme (2000). Collaborations involve teams at De Montfort University and Royal Holloway.

• Numerical Methods
• Scientific Computing
• Cardiac Electrophysiology Modeling
• +3 more

Ngoc Mai Monica Huynh is a Researcher in the Department of Mathematics at the University of Pavia, specializing in Scientific Computing with a focus on Numerical Methods and Applications. Her work centers on developing advanced numerical techniques for simulating cardiac electrophysiology, particularly through high-performance computing approaches. Her research interests include parallel algorithms, domain decomposition methods (BDDC/FETI-DP), and virtual element discretizations applied to cardiac models like the Bidomain equations. She has contributed to scalable solvers for reaction-diffusion systems and implicit time discretization techniques in heterogeneous media. Recent work emphasizes robust preconditioners for discontinuous Galerkin discretizations, algebraic multigrid solvers, and cellular-resolution simulations of cardiac tissue. Her publications reflect a strong focus on computational efficiency and mathematical rigor in biomedical modeling. Dr. Huynh's research is supported by collaborations within the Department's Scientific Computing group and leverages high-performance computing resources. Her expertise bridges numerical analysis, parallel computing, and biophysical modeling for cardiac electrophysiology applications.

Yannick HamonView profile

Researcher

• French Language Teaching
• Translation Studies
• Linguistics
• +5 more

Yannick Hamon is a Researcher at Ca' Foscari University of Venice, affiliated with the Department of Comparative Linguistic and Cultural Studies. His office is located in Palazzo Cosulich (Studio 210), where he holds office hours on Tuesdays from 11:00 to 13:00. He serves as a Member of the Joint Teacher-Student Commission for the SLCC Department and acts as the Teacher Training Representative. His academic focus centers on French language teaching, translation studies, and linguistics, specifically under the SSD classification FRAN-01/B (French language, translation and linguistics). Hamon's research interests span French Language Teaching (FLE), digital technologies in language education, collaborative learning approaches, and distance teaching methodologies. His work demonstrates particular expertise in the intersection of technology and language pedagogy, with significant contributions to understanding how digital tools can enhance language acquisition and teaching practices. He has extensively explored emergency remote teaching during the pandemic, investigating how language educators adapted to sudden transitions to online instruction. His scholarship also addresses translation studies, environmental discourse, and collaborative learning models in language education. Analysis of Hamon's publication record reveals a strong trajectory in research on technology-mediated language teaching and collaborative approaches to language instruction. His work has evolved from foundational studies on translation technologies to more recent investigations of pandemic-era educational challenges and innovative solutions. A notable pattern is his consistent focus on practical applications of theoretical frameworks in real classroom settings, emphasizing action research methodologies that bridge theory and practice. His publications frequently examine how digital tools can facilitate language learning while maintaining the essential interactive elements that characterize effective language instruction. Hamon has played a significant role in coordinating teacher training initiatives, particularly through the FLE Ateliers program developed in collaboration with the Federation of French Alliances in Italy and DORIF. This initiative represents a substantial contribution to professional development for French language teachers, focusing on practical, research-informed approaches to teaching challenges. His work demonstrates commitment to improving language education through collaborative research-action frameworks that value teacher expertise while incorporating academic research findings. As an active member of the academic community, Hamon participates in research networks focused on French language teaching and plurilingualism. His work reflects engagement with broader educational challenges while maintaining specialized expertise in French language pedagogy. His contributions to the field emphasize the importance of adapting teaching methodologies to contemporary technological and social contexts while preserving the core interactive elements essential to language learning.

• Industrial Engineering
• Robotics
• Automation Systems
• +3 more

Pietro Bilancia is a Researcher in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia. His work focuses on robotics, automation systems, and compliant mechanisms, with particular emphasis on precision manufacturing, robot accuracy assessment, and sustainable industrial engineering. He teaches courses such as Metodi di Ingegnerizzazione and Design of Energy-Efficient Industrial Robotic Cells , emphasizing energy-efficient automation and sustainable product design. Research interests include robot path accuracy evaluation via ballbar technology, low-cost vision systems for robotic guidance, and machine learning-driven motion compensation. He has developed tools for virtual commissioning of robotic cells, leveraging AutomationML and ROS environments. His work also extends to compliant mechanisms design, including bio-inspired wrists and exoskeletons, as well as servomechanism testing via active load rigs. Key contributions include methods for telescopic beams in construction machinery, empirical characterization of welding tracks, and UX-driven PLC interface design. His publications span journals like Robotics and Computer-Integrated Manufacturing and conference proceedings in automation and mechatronics. Collaborations with industry partners highlight practical applications in manufacturing automation, such as undercarriage design for earth-moving machinery and palletizing systems. He actively contributes to advancing robotics education through project-based learning with CAD/CAE tools.

Riccardo LancellottiView profile

Associate Professor

• Fog Computing
• Edge Computing
• Cloud Computing
• +9 more

Riccardo Lancellotti is an Associate Professor at the Department of Engineering 'Enzo Ferrari' of the University of Modena and Reggio Emilia, Italy. His primary research focuses on Fog/Edge computing, Cloud IaaS infrastructure management, and scalable resource allocation strategies. He actively contributes to international conferences and journals in computer science and networking. Research Interests: Current: Fog and Edge computing, Virtual elements management in SDN data centers, Cloud monitoring, IaaS optimization Past: Performance evaluation of web clusters, Social network analysis, P2P systems, cooperative caching His work emphasizes energy-efficient algorithms, load balancing in distributed systems, and genetic approaches for service placement. He has received a Best Paper Award for his 2014 publication on adaptive VM clustering techniques. Lancellotti collaborates closely with industry partners, including those involved in smart city infrastructure projects and multimedia processing optimization. Teaching Activity: Reti di calcolatori e lab (Computer Networks) Applicazioni Distribuite e Mobili (Distributed and Mobile Applications) Sistemi e Applicazioni Cloud (Cloud Systems and Applications) Lancellotti has advised on projects involving VM behavior analysis and cloud monitoring, though no formal student names are listed. He participates in significant initiatives like the SAMMClouds project and has a strong focus on open-source software advocacy, as seen in his contributions to Linux Day events. He is part of the Department’s research group exploring cloud and edge computing solutions, with a lab focusing on infrastructure optimization and sustainable computing practices.

• Structural Engineering
• Materials Science
• Non-Destructive Testing
• +3 more

Antonino Spada is an Associate Professor of Engineering at the University of Palermo, affiliated with the Polytechnic School. His research focuses on structural mechanics, materials science, and non-destructive evaluation techniques. He has contributed extensively to computational methods such as FEM-VEM coupling, global-local modeling for ultrasonic guided waves, and interphase analysis in quasi-brittle materials. His work bridges theoretical modeling with experimental validation, particularly in composite materials, masonry structures, and fracture mechanics. Teaching responsibilities include courses like Science of Construction and Statics , covering topics such as marine technology engineering, building innovation, and structural analysis. He has been actively involved in academic activities since at least 2010, with a strong publication record in top-tier journals and conference proceedings. Research interests span advanced numerical techniques (e.g., meshless methods, finite element modeling), wave propagation for defect detection, and durability assessment of civil infrastructure. His work integrates computational homogenization, fracture mechanics, and experimental validation to address challenges in composite materials and historical masonry structures.

• Acoustic waves
• Advanced numerical methods
• Convolution integrals
• +7 more

Silvia Falletta is an Associate Professor at the Department of Mathematical Sciences 'GL Lagrange' (DISMA), Politecnico di Torino. She teaches courses including Numerical Methods for Differential Equations and Finite Element Modelling across disciplines like Chemical Engineering and Aerospace Engineering. Her research focuses on advanced numerical methods for wave propagation problems, particularly in acoustics, elasticity, and seismology. Research Interests: Acoustic waves, Elasticity, Integral equations, Numerical Analysis, Convolution Quadrature, Wavelet techniques. Teaching Roles: Course Lecturer for Finite Element Modelling (2019–2025), Numerical Calculus collaborator, and contributor to PhD programs in Mathematical Sciences. Publications: Specializes in time-domain boundary integral equations, BEM-FEM coupling, and non-reflecting boundary conditions. Recent work includes virtual element methods for wave propagation and wavelet-based matrix sparsification. Students: Supervises PhD candidates Davide Collato and Matteo Ferrari, focusing on non-symmetric coupling of virtual/boundary elements and unbounded domain problems. Contact: Email: silvia.falletta@polito.it ; Phone: +39 0110907506.

Giuseppe GiambancoView profile

Professor

• Computational Mechanics
• Fracture Mechanics
• Finite Element Method
• +3 more

Giuseppe Giambanco is a Full Professor of Structural Mechanics at the University of Palermo. He holds a PhD in Structural Engineering and has extensive research experience in computational mechanics. Research focuses on: Advanced numerical methods for fracture simulation Computational modeling of quasi-brittle materials Hybrid finite element-virtual element methods Structural assessment of historical buildings Recent publications demonstrate development of innovative FEM-VEM coupling techniques for crack propagation analysis and applications in cultural heritage conservation. Leads research on computational fracture mechanics and supervises graduate work on numerical methods for geomechanical problems.

• Experimental mechanics
• Multibody dynamics
• Multibody systems
• +13 more

Nicola Bosso is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He serves as a member of the College of Mechanical, Aerospace and Automotive Engineering and has been continuously involved in the PhD program in Mechanical Engineering for multiple cycles from 2015/2016 through 2024/2025. His academic career spans over a decade of teaching and research in mechanical engineering with a strong emphasis on railway systems and multibody dynamics. Research Focus: Professor Bosso specializes in experimental mechanics and multibody dynamics with particular expertise in railway dynamics, monitoring systems, and vehicle dynamics. His research encompasses roller rig testing methodologies, wear analysis of materials, and wheel-rail contact mechanics. His work aligns with several Sustainable Development Goals including Industry, Innovation and Infrastructure (Goal 9), Sustainable Cities and Communities (Goal 11), Responsible Consumption and Production (Goal 12), and Climate Action (Goal 13). His research integrates computational engineering with experimental validation to address complex railway engineering challenges. Publication Trends: Recent publications demonstrate a strong focus on digital twin technology for freight wagon monitoring, advanced wear simulation algorithms, and thermo-mechanical interactions in braking systems. His work increasingly combines AI techniques with traditional engineering approaches, reflecting the evolving nature of railway engineering research. The publications span conference proceedings and journal articles in high-impact railway engineering venues. Advising and Research Leadership: Professor Bosso has supervised PhD students including Matteo Magelli (35th cycle, 2019-2023), whose thesis focused on numerical and experimental tools for train braking simulations. He leads numerous research projects including AI4FREIGHT (2025-2029), a Railway Freight Wagon Monitoring System based on Digital Twins, and various consulting projects with railway industry partners. His research portfolio spans competitive national grants, regional innovation centers funding, and commercial contracts with railway technology companies. Research Infrastructure: He is affiliated with the Design and experimentation of industrial and railway systems and microsystems (DIMEAS) research group, where he contributes to the development of testing methodologies and simulation tools for railway applications. His work involves close collaboration with industry partners on practical railway engineering challenges, including derailment prevention, vehicle dynamics optimization, and innovative testing equipment development.

• Computational mechanics
• Load identification
• Shape sensing
• +4 more

Marco Esposito is a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin. He is affiliated with the College of Mechanical, Aerospace, and Automotive Engineering and actively participates in the AESDO (Aircraft and Engine Structural Design and Optimization) research group. His primary contact is marco.esposito@polito.it . Dr. Esposito's research centers on Computational mechanics, Load identification, Shape sensing, and Structural health monitoring, with specific applications to aerospace structures. His work bridges theoretical developments in computational mechanics with practical structural monitoring solutions for aircraft and spacecraft components. He has developed innovative approaches for shape sensing using the inverse Finite Element Method (iFEM), including single-sensor configurations and hybrid shell-beam formulations that enable accurate structural deformation monitoring with minimal sensor requirements. His recent publications reveal a strong focus on practical applications of shape sensing technology, particularly for composite aerospace structures like wing panels and stiffened structures. The research demonstrates a progression from theoretical formulations to experimental validation, with increasing sophistication in handling complex structural geometries and sensor configurations. Much of this work contributes to the development of the DIMOSS (DISPLACEMENT MONITORING USING STRAIN SENSORS) software platform. Dr. Esposito supervises PhD students including Vincenzo Biscotti (researching Shape sensing and Structural Health Monitoring approaches for aerospace Digital Twin applications) and Alessio Galfione (researching Shape reconstruction of space structures from strain measurements). He serves as Scientific Manager for the DIMOSS project (2024-2025), which has resulted in patented software for structural monitoring. Within the academic community, he teaches advanced courses on the finite element method at PhD level and contributes to various aerospace engineering programs at Master's and Bachelor's levels, covering topics from structural mechanics to aeronautical structures and aerospace technologies.

Stanislao GraziosoView profile

Assistant Professor

• Soft Robotics
• Nonlinear Modeling
• Bio-inspired Design
• +4 more

Stanislao Grazioso serves as Assistant Professor in the Department of Industrial Engineering at the University of Naples Federico II (UNINA), where he leads the BIOIC (Bioinspired soft robotic systems for cognitive production) project. His work focuses on transforming manufacturing through soft robotic technologies, with expertise spanning design, modeling, and control of compliant robotic systems for industrial and biomedical applications. Education: Bachelor of Science in Mechanical Engineering, University of Naples Federico II Master of Science in Mechanical Engineering, University of Naples Federico II Ph.D. in Industrial Engineering, University of Naples Federico II (2018), specializing in soft robotics Research Focus: Dr. Grazioso investigates the entire soft robot development lifecycle, emphasizing innovative design concepts for variable-stiffness actuators, advanced modeling using Cosserat rod theory and finite element methods, and human-robot interaction for safe collaboration. His research platforms include soft grippers for agrifood automation, continuum manipulators for confined spaces, and exoskeletons for industrial assistance. Key applications target nuclear remote handling (DTT fusion reactor), biomechanical analysis, and cognitive manufacturing systems. Publication Trends (2022-2024): Recent work demonstrates accelerating innovation in soft growing robots for remote sensing, bioinspired grippers with embedded adhesion mechanisms, and wearable biomechanics for athlete monitoring. His publications bridge theoretical modeling (e.g., screw theory for continuum robots) with industrial implementation, particularly in fusion reactor maintenance and agrifood automation, reflecting strong technology transfer orientation. Project Leadership: As BIOIC project lead, he drives integration of biological principles into manufacturing robotics. His involvement in DTT remote handling and NEFERTARI projects highlights expertise in nuclear robotics, while collaborations with clinicians demonstrate commitment to medical applications like soft exoskeletons for rehabilitation. Current efforts focus on virtual reality integration for ergonomic workplace assessment and EMG-based wearable systems.

• Land subsidence
• Underground gas storage
• Reservoir engineering
• +6 more

Vera Rocca is an Associate Professor in the Department of Environment, Land and Infrastructure Engineering at the Polytechnic University of Turin, where she also earned her MSc and PhD in Petroleum Engineering. She teaches across multiple academic levels including PhD programs in Civil and Environmental Engineering, Master's programs in Georesources and Geoenergy Engineering, and undergraduate courses. Her academic affiliations include membership in the College of Environmental and Land Engineering and participation in doctoral colleges focused on sustainable materials and systems for transition. Her educational background includes a Master's of Science and PhD in Petroleum Engineering, both from the Department of Environment, Land and Infrastructure Engineering at Politecnico di Torino. She has developed expertise in reservoir engineering, geomechanics, and subsidence analysis through her academic training and professional development, including earning the 'Learning to Teach (L2T)' certification from Politecnico di Torino in June 2024. Rocca's research focuses on land subsidence, underground gas storage, optimization of reservoir production, fluid-flow and geomechanical analysis, and 3D numerical simulation of anthropogenic ground movements. Her work bridges petroleum engineering with environmental concerns, particularly examining how underground energy systems can support the energy transition. She has developed significant expertise in analyzing subsidence in the Po Plain region of Northern Italy using geological and satellite data. Her recent publications demonstrate a strong focus on applying machine learning techniques to InSAR data for monitoring ground movements related to underground energy storage and fluid extraction. The research spans carbon storage, natural gas storage, groundwater management, and shale formation characterization, with particular attention to the geological conditions of Northern Italy and the Adriatic region. Her work increasingly integrates computational methods with traditional geomechanical analysis. Rocca serves as Scientific Director for commercial research contracts including 'Fundamentals of Reservoir Engineering' (2024) and 'Insights into ground deformations...' related to the Montepagano Formation storage project. She has supervised multiple PhD students including Nacer Benlalam, Alberto Manuel Garcia Navarro, and Celine Eid, whose work focuses on subsidence analysis, machine learning applications, and underground energy systems. She leads or collaborates on teaching numerous courses including Underground Energy Storage, 3D Modeling of Underground Geological Formations, Reservoir Engineering, Fluid Mechanics in Porous Media, and 'Challenges and Opportunities for Non-Renewable Resources in the 21st Century.' Her teaching spans multiple academic years from 2019 through planned courses for 2025/2026, demonstrating sustained academic engagement. She has also taught at the Kazakh-British Technical University and conducted training courses for private organizations internationally.