جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Seismic Mitigation
• Passive Control Systems
• +۳ مورد دیگر

Chiara Masnata is a Fixed-Term Researcher (RTT) in the Department of Engineering at the University of Palermo, Italy. Her work focuses on structural dynamics, passive control systems, and cultural heritage preservation. She collaborates internationally, including with the University of Innsbruck (Austria) and FIP MEC S.r.l., and contributes to projects like SAMOTHRACE, which integrates smart technologies for cultural heritage monitoring and preservation. PhD in Civil, Environmental and Materials Engineering (University of Palermo, 2021) Master's Degree in Civil Engineering and Architecture (University of Palermo, 2017) Scientific Qualification in Structural Dynamics (2023) Her research explores advanced vibration control methods, such as sliding tuned liquid column dampers (TLCD) and inerter-based absorbers, applied to base-isolated structures. She integrates theoretical analysis with experimental testing on monumental buildings, emphasizing non-invasive techniques for cultural heritage. Publications highlight her work on soil-structure interaction, stochastic processes, and hybrid passive control strategies. Her recent articles focus on optimizing TLCD/TMD systems for seismic and wind-induced vibrations, with keywords spanning Structural Engineering, Seismic Mitigation, and Smart Technologies. She uses computational tools like MATLAB and SAP2000 for numerical simulations and experimental validation. Chiara actively engages in international research collaborations and has presented at conferences in Austria and the U.S. She supervises academic projects and participates in advanced training programs, including the International World Heritage Studies Summer School (2017).

• Radiation Dosimetry
• Medical Physics
• FLASH Radiotherapy
• +۷ مورد دیگر

Maurizio Marrale serves as Associate Professor in the Department of Physics and Chemistry at the University of Palermo (Unipa), holding position PHYS-06/A. His office is located at the Department of Physics and Chemistry "Emilio Segre" (DIFC), Viale delle Scienze, Building 18, with regular office hours on Thursdays from 3:00 PM to 5:00 PM. His research spans radiation dosimetry, medical physics, and advanced imaging techniques. Key focus areas include FLASH radiotherapy verification using alanine/EPR dosimetry and silicon carbide detectors, transcranial magnetic resonance-guided focused ultrasound for neurological disorders (particularly essential tremor), and MRI-based dosimetry with Fricke gels. His work bridges physics principles with clinical applications in radiation oncology and diagnostic imaging. Analysis of his 15 most recent publications reveals strong emphasis on Ultra-high dose rate (UHDR) beam characterization for FLASH radiotherapy Development of novel dosimetry systems (SiC detectors, ionoacoustic sensors) Advanced neuroimaging techniques for thalamic targeting Diffusion correction methodologies in 3D dosimeters Clinical MRI applications for neurological disorders His research demonstrates consistent integration of computational modeling (Geant4, deep learning) with experimental validation. As principal supervisor, he has guided over 35 master's theses at Unipa between 2009-2024, primarily in Physics and Medical Radiology Techniques programs. His supervisory work focuses on radiation dosimetry applications, MRI physics, and radiotherapy technology validation.

• Virtual Reality
• Serious Games
• 3D Visualization
• +۴ مورد دیگر

Ivan Carmosino is a Contract Professor in the Department of Italian, Romance, Classical, Arts, and Entertainment Studies (DIRAAS) at the University of Genoa. He teaches the course '3D Visualizations for the Analysis of Artistic and Architectural Heritage' within the Master's Degree Course in History of Art and Promotion of Artistic Heritage. His research spans virtual reality, serious games, and 3D visualization with direct applications in cultural heritage preservation, transportation systems, and health monitoring. He develops interactive environments leveraging gamification principles and real-time data processing to solve domain-specific challenges in artistic analysis, traffic management, and ergonomic assessment. Analysis of his recent publications (2017-2018) reveals a consistent interdisciplinary approach bridging computer science with practical domain applications. His work demonstrates strong focus on immersive technologies for tangible real-world problems, particularly in virtual heritage reconstruction, traffic flow optimization, and health-focused behavioral interventions through game mechanics.

Anna Pallaمشاهده پروفایل

دانشیار

• Sustainable Urban Drainage
• Hydrology
• Hydraulic Engineering
• +۵ مورد دیگر

Anna Palla serves as Associate Professor in the Department of Civil, Chemical, and Environmental Engineering (DICCA) within the Polytechnic School at the University of Genoa. Her academic focus centers on sustainable water management systems and climate-resilient infrastructure development. Her research spans Sustainable urban drainage systems Hydrological risk modeling Green infrastructure performance under climate change Participatory approaches for flood resilience Climate adaptation in Mediterranean urban contexts with particular emphasis on Genoa and Ligurian regional case studies. Recent publications (2024-2025) demonstrate consistent focus on integrating hydrological engineering with community-based planning, featuring methodological advances in green roof simulation, flood risk mapping, and evapotranspiration modeling. Key trends include transdisciplinary collaboration and practical implementation of sustainable drainage solutions in vulnerable coastal cities. Professor Palla maintains active student engagement through flexible office hours via email or Teams appointments. Her teaching portfolio includes graduate-level courses in Sustainable Urban Drainage Systems, Applied Hydrology, and Hydraulic Infrastructures across Civil and Building Engineering programs. She operates within the CEAR-01/B research group specializing in Hydraulic and Maritime Constructions and Hydrology, conducting field-based studies on urban water systems with strong regional stakeholder involvement.

Nicola Saccoمشاهده پروفایل

استاد

• Transportation Engineering
• Logistics
• Maritime Transport
• +۳ مورد دیگر

Nicola Sacco serves as a Full Professor in the Department of Mechanical, Energy, Management and Transport Engineering (DIME) at the University of Genoa. He teaches Advanced Transport Systems Design (code 104795) for the Master's Degree Course in Safety Engineering, Maritime Transport Systems and Logistics (code 109380) for Maritime Science and Technology, and Transport Systems Planning (code 90446) across multiple academic cycles (2024-2026). Institutional roles include membership on the Board of Directors of the Italian Center of Excellence for Logistics, Transport, and Infrastructure (CIELI) and the Technical-Scientific Committee of the University's Security, Risk and Vulnerability Center. His research specializes in transportation systems innovation , with emphasis on intelligent mobility solutions and sustainable infrastructure . Key domains encompass automated vehicle integration, maritime logistics optimization, public transport accessibility enhancement, and low-emission urban planning. Methodologically, he employs data-driven modeling, optimization frameworks, and multi-modal transport analysis to address complex mobility challenges in contemporary urban environments. Recent publications reveal a pronounced focus on converging mobility paradigms: automated driving penetration rates (2024), hybrid car-sharing for public transport connectivity (2024), integrated freight-passenger systems (2024), network-wide occupancy prediction (2023), and low emission zone design (2023). These works collectively demonstrate a strategic shift toward system-level transport optimization through computational modeling and policy-oriented solutions. Professor Sacco's institutional affiliations underscore his dual expertise in transport security and infrastructure resilience. Through CEAR-03/B – Transportation assignments and strategic center engagements, he contributes to national initiatives on logistics excellence and urban vulnerability assessment, positioning him at the intersection of academic research and practical transport policy development.

• Biomedical Signal Processing
• Computational Modeling
• Cardiac Electrophysiology
• +۳ مورد دیگر

Michela Masè is an Assistant Professor in the Department of Industrial Engineering at the University of Trento , Italy. Her research bridges biomedical engineering and clinical applications, with laboratories located at Via Sommarive, 9 in Povo. She teaches core courses including Advanced Signals Processing and Modeling of Physiological Systems , Artificial Intelligence for Biomedical Problems Solving , and Fondamenti di Tecnologie Biomediche . Her research focuses on: Computational modeling of cardiac electrophysiology, particularly atrial fibrillation mechanisms and fibrosis dynamics Development of wearable medical devices (e.g., MedSENS in-ear multisensor for vital monitoring) High-altitude physiology and cognitive performance in extreme environments Advanced signal/image processing techniques for biomedical data Publication analysis reveals strong emphases on: translational cardiac research (45%), biomedical instrumentation (30%), and environmental physiology (25%), with consistent interdisciplinary integration of engineering principles. Her work frequently involves clinical collaborations and validation studies.

• Corrosion Science
• Electrochemistry
• Surface Engineering
• +۴ مورد دیگر

Andrea Cristoforetti serves as a Research Fellow and Teaching Assistant in the Department of Industrial Engineering at the University of Trento, Italy, focusing on corrosion mechanisms and electrochemical surface engineering for metallic substrates. His work bridges fundamental electrochemistry with industrial applications in aerospace, energy infrastructure, and sustainable materials development. Research interests center on filiform corrosion dynamics in organic-coated metals, electrochemical characterization techniques (SVET, SECM), and advanced coating systems including bio-based fillers and layered double hydroxides. Current projects investigate drag-reduction surface texturing for aeronautics, UV-curable pipeline coatings, and corrosion-inhibiting pigments derived from natural materials, emphasizing environmental sustainability without compromising protective performance. Publication trends reveal concentrated expertise in steel and aluminum corrosion protection, with 15+ articles since 2022 in journals like Corrosion Science and Progress in Organic Coatings . Key themes include mechanistic studies of coating failure, development of eco-friendly alternatives to synthetic components, and electrochemical validation of novel surface treatments under harsh environmental conditions. No scientific awards were documented in the provided sources Collaborative work with Michele Fedel, Stefano Rossi, and Flavio Deflorian indicates active participation in a corrosion research group, though specific advising roles or grant funding details remain unreported. Teaching contributions include assistantship for graduate-level electrochemistry courses addressing energy and environmental applications. The research ecosystem involves electrochemical testing laboratories at the University of Trento, with emphasis on in-situ corrosion monitoring and accelerated aging methodologies. Current instrumentation includes scanning electrochemical microscopy systems and UV-curing setups for coating development, supporting both fundamental mechanistic studies and industry-oriented material solutions.

• Fluid Dynamics
• Computational Biomechanics
• Cardiac Electrophysiology
• +۲ مورد دیگر

Alessandro Nitti is an Assistant Professor in the Department of Mechanics, Mathematics & Management at Politecnico di Bari, Italy, specializing in Fluid Dynamics (ING-IND/06). His research integrates computational methods and biomechanics to study complex fluid-structure interactions, cardiac electrophysiology, and bio-inspired robotics. Position: Assistant Professor Department: Mechanics, Mathematics & Management Email: alessandro.nitti@poliba.it His research spans Fluid Dynamics (e.g., vortex-induced vibrations, valvular leaflet motion), Cardiac Electromechanics (e.g., myocardial activation, electrophysiology coupling), and Isogeometric Analysis (e.g., thin shell modeling, mixed collocation methods). He also explores Swarm Robotics through collective intelligence models. Recent publications highlight trends in Fluid-Structure Interaction (e.g., energy harvesting, jellyfish locomotion), Biomedical Engineering (e.g., aortic valve turbulence, cardiac muscle simulation), and Computational Methods (e.g., immersed boundary techniques, isogeometric shell models). These works often involve interdisciplinary approaches combining Biomechanics , Electrophysiology , and Multiphysics Simulation .

• Pediatric Dentistry
• Orthodontics
• Temporomandibular Joint Disorders
• +۲ مورد دیگر

Simona Tecco serves as Associate Professor of Odontostomatological Diseases at Vita-Salute San Raffaele University in Milan since 2017, concurrently holding a consultancy position at San Raffaele Hospital's Dentistry Unit. Her academic career spans over two decades with clinical and research expertise in pediatric dentistry, orthodontics, and temporomandibular disorders. Her educational foundation includes: Graduation with honors in Dentistry and Dental Prosthetics (University of Chieti, 1999) PhD in Odontostomatological Sciences (University of Chieti) PhD in Physiology of Mastication and Dental Materials (University of Turin) Specialization in Orthodontics (Catholic University of the Sacred Heart, Rome) Professor Tecco's research centers on clinical applications in pediatric dentistry and orthodontic innovation , with significant contributions to temporomandibular joint pathology and craniocervical biomechanics . Her work emphasizes digital dentistry integration, particularly in clear aligner therapy, implant navigation, and TMD management protocols. Analysis of her 15 most recent publications (2024-2025) reveals dominant themes in digital workflow optimization across implantology, orthodontics, and prosthodontics. Key trends include mixed reality navigation for implant placement, predictability analysis of clear aligner treatments, and comprehensive digital approaches for temporomandibular disorders management. She maintains active research funding from European Community agencies and private dental companies since 2000, with teaching responsibilities spanning orthodontics courses for both undergraduate dental hygiene and graduate dentistry programs. Her clinical work integrates with San Raffaele Hospital's Dentistry Unit, focusing on evidence-based approaches to complex craniofacial conditions.

Gionata Salviettiمشاهده پروفایل

دانشیار

• Collaborative Robotics
• Assistive Devices
• Haptics
• +۳ مورد دیگر

Gionata Salvietti is an Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, specializing in collaborative robotics, assistive devices, and haptics. He serves as Associate Editor for IEEE Transactions on Robotics (since 2022) and IEEE Transactions on Haptics (since 2020), and leads major European research initiatives including the Erasmus+ project 'Immersive Surgical Edu' and PRIN project 'ARTIS'. Education: PhD in Information Engineering, University of Siena, 2012 Master's degree in Computer Engineering, University of Siena, 2009 Research Focus: Salvietti pioneers human-robot collaboration through haptic interfaces, developing wearable systems for surgical training and industrial applications. His work integrates virtual reality, augmented reality, and neurophysiological principles to enhance human performance in healthcare and manufacturing environments, with emphasis on quantifying user experience and sensorimotor control. Publication Trends: Recent work demonstrates convergence of haptics, immersive technologies, and soft robotics—evident in surgical training systems, warehouse automation tools, and neurorehabilitation techniques. Key themes include hand reflex analysis in human-robot interaction, stochastic resonance for motor control, and pneumatic soft grippers enabling new sensing modalities. Projects: Principal Investigator, Erasmus+ 'Immersive Surgical Edu' (2024-present) Principal Investigator, PRIN 'ARTIS' (2023-present) Teaching & Operations: Teaches Automatic Controls (Bachelor's level) and Industrial Robotics (Master's level) across academic years 2020-2026. Maintains active research laboratory (Lab. 237) with Tuesday office hours 2:00-5:00 PM, requiring email pre-appointment.

• Manufacturing Technologies
• Simulation Techniques
• Additive Manufacturing
• +۵ مورد دیگر

Gianluca Danilo D'Urso is a Full Professor of Manufacturing Technologies and Systems (ING-IND/16) at the University of Bergamo, Department of Engineering and Applied Sciences. He serves as the Rector's Delegate for Applied Research and holds leadership positions including President of the Scientific Technical Committee of the Intellimech Consortium and Member of the teaching staff for the Doctoral School in Technology, Innovation and Management (TIM). His research spans multiple critical areas of advanced manufacturing, with particular focus on conventional and unconventional manufacturing technologies, FEM simulation techniques applied to production processes, Additive Manufacturing, Micro-manufacturing, and discrete-event simulation techniques applied to both production and healthcare processes. Professor D'Urso also specializes in improving production system quality and developing optimization models for production processes using simulation, analytical, and mathematical approaches. Professor D'Urso's recent publications reveal a strong emphasis on cutting-edge manufacturing technologies with particular attention to additive manufacturing processes, material extrusion techniques, and laser powder bed fusion. His work demonstrates a consistent focus on quality optimization, process improvement, and sustainability in manufacturing systems. The research shows increasing integration of computational methods with experimental validation across multiple manufacturing domains. As Rector's Delegate for Applied Research, Professor D'Urso plays a significant role in shaping the research direction of the university, particularly in bridging academic research with industrial applications through his leadership in the Intellimech Consortium. His involvement with the Doctoral School in Technology, Innovation and Management indicates his commitment to developing the next generation of researchers in these critical fields. Professor D'Urso teaches Advanced Manufacturing Technologies and related courses across multiple engineering programs at the University of Bergamo, demonstrating his dedication to both research and education in advanced manufacturing systems. His work spans theoretical modeling, computational simulation, and practical application of manufacturing technologies across various industrial sectors.

• Soft Matter Physics
• Colloidal Systems
• Polymeric Systems
• +۵ مورد دیگر

Gianmarco Munaò is a Full-time fixed-term researcher (type B) at the Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences (MIFT) at the University of Messina, specializing in Theoretical Physics of Matter. He serves as Lecturer for the course "Analysis and models of biomedical signals" in the Master's Degree in Physics program. His educational background includes: PhD in Physics from the University of Messina (2009), with thesis on "Improvements of RISM theory in molecular liquids investigations" Graduation with honors in Physics from the University of Messina (2005), with thesis on "Theoretical and simulative study of structural properties of mixtures of molecular liquids" Munaò's research focuses on theoretical and simulation studies of condensed matter physics, particularly soft matter systems including colloidal, polymeric, and biological systems. He employs numerical simulations based on Molecular Dynamics and Monte Carlo methods, along with theoretical tools based on integral equations, to investigate structural and thermodynamic properties of complex systems. His work has significant applications in nanotechnology, materials science, and biophysics. His recent publications demonstrate expertise across multiple domains including colloidal physics, polymer nanocomposites, molecular dynamics simulations, and statistical mechanics. The research shows a consistent focus on understanding self-assembly processes, phase behavior, and structural properties of complex fluid systems. Scientific qualifications: National scientific qualification for associate professor in sector 02/B2 (Theoretical Physics of Matter) (2018-2027) National scientific qualification for associate professor in sector 03/A2 (Models and Methodologies for Chemical Sciences) (2018-2027) Munaò has participated in numerous research projects, including ERC projects and PRIN MIUR grants. He has collaborated extensively with research groups at Sapienza University of Rome, University of Salerno, and other international institutions. As a referee, he has reviewed for prestigious journals including Soft Matter, Physical Review E, and Journal of Chemical Physics. He is active in the scientific community, regularly presenting at conferences such as the International Soft Matter Conference and Fismat.

• Artificial Intelligence
• Robotics
• Sensitivity Informatics
• +۷ مورد دیگر

Professor Shohei Kato holds a primary appointment at Nagoya Institute of Technology's Graduate School of Engineering (Omohi College) and serves as a Visiting Researcher at the National Center for Geriatrics and Gerontology. His career includes prior roles as Associate Professor at Nagoya Institute of Technology (2002–2015), Lecturer at Toyota National College of Technology (1999–2002), and Research Assistant (1998–1999). He earned his Doctor of Engineering from Nagoya Institute of Technology, where he also completed undergraduate studies in Electrical and Computer Engineering. Kato's research integrates artificial intelligence, robotics, and affective computing, with applications spanning healthcare, optimization, and human-machine interaction. Key themes include kansei (sensitivity) robotics, computational intelligence, dementia screening via speech/fNIRS analysis, and multi-agent systems. His work emphasizes adaptive algorithms, emotion modeling, and real-world AI deployment. Recent publications focus on sim-to-real transfer learning, reinforcement learning for multi-agent cooperation, and non-invasive dementia diagnosis. A consistent trend involves applying particle swarm optimization and deep learning to industrial and biomedical challenges, such as shield tunneling automation and EEG-based emotion recognition. Awards & Honors: Minister of Education Commendation for Science and Technology (2015) IEEE Outstanding Paper Awards (GCCE 2017, 2018) 日本感性工学会論文賞 (2012) Multiple Workshop on Informatics (WiNF) prizes for student collaboration (2011–2020) Kato leads externally funded projects on dementia screening, affective robotics, and optimization algorithms. He directs the Kato Lab (katolab.nitech.ac.jp), collaborating with entities like Shimizu Corporation on AI-driven construction planning. His team explores human-robot symbiosis, BCI interfaces for Duchenne muscular dystrophy patients, and therapy robot design.

Shun Shiramatsuمشاهده پروفایل

استاد

• Natural Language Processing
• Knowledge Graph
• Civic Tech
• +۳ مورد دیگر

Shun Shiramatsu is a Professor at the Graduate School of Engineering, Nagoya Institute of Technology, where he also serves as Director of the Center for Community Creation Education and Research. Since August 2024, he has held a concurrent position as Specially Appointed Professor in the Civic Tech and Design Science Creation Endowed Research Division at the Center for Spatial Information Science, The University of Tokyo. In April 2024, he established Socianotter Inc. to implement his laboratory's research results in society. Dr. Shiramatsu has been actively involved in civic tech activities with Code for Nagoya since 2014. Dr. Shiramatsu earned his Master's degree in Information Science from Tokyo University of Science in 2003 and his PhD in Informatics from Kyoto University in 2008. His academic journey began as a JST CREST Research Assistant at AIST in 2003, followed by positions as JSPS Research Fellow (DC2) in 2007, JSPS Research Fellow (PD) in 2008, Assistant Professor at Nagoya Institute of Technology in 2009, Associate Professor and head of the Shiramatsu Laboratory in 2015, and Professor in 2021. His research focuses on civic tech support and consensus building using natural language processing and knowledge graphs. Dr. Shiramatsu's work bridges the gap between advanced AI technologies and practical community applications, particularly in supporting democratic processes and citizen engagement. His recent research has increasingly incorporated large language models to enhance discussion structuring, information recommendation, and consensus building in both physical and digital spaces. He has developed systems for structuring oral discussions, estimating optimal timing for information recommendations, and creating coaching agents for job-hunting students. Dr. Shiramatsu's publication record shows a clear evolution from foundational work in web technologies and knowledge representation toward increasingly sophisticated applications of AI for civic engagement. His recent work heavily features large language models applied to community building, discussion support, and consensus formation, demonstrating how cutting-edge AI can address real-world social challenges through practical implementations. Excellence Award in the Dataset category at the LOD Challenge Japan 2013 Excellence Award in the Application category at the LOD Challenge Japan 2018 Grand Prize at the Kyoto University Summer Design School 2022 Best Student Paper Award at the 2nd International Workshop on Democracy and AI (2023) Outstanding Performance Award at the Linked Open Data Challenge Japan 2018 Dr. Shiramatsu has served as principal investigator on multiple research projects funded by JST, NEDO, and the Japan Society for the Promotion of Science. His research has been applied in various civic tech initiatives, including the development of systems for public collaboration, consensus building, and regional revitalization. Through Socianotter Inc., he is translating academic research into practical solutions that directly benefit communities. His leadership extends to chairing the Japanese Society for Artificial Intelligence's Citizen Co-Creation Intelligence Research Group (SIG-CCI) and serving as Secretary for the IEICE Special Research Committee on 'Agreement and Co-creation'.

• Structural Mechanics
• Shell Structures
• Shape Optimization
• +۷ مورد دیگر

Valerio Varano serves as Associate Professor in the Department of Architecture at Roma Tre University, where he bridges architectural design with structural engineering and biomechanics. His academic profile reflects a unique interdisciplinary approach connecting form-finding techniques in architecture with medical shape analysis methodologies. His research interests span structural mechanics, shell structures, and shape optimization, with particular focus on R-funicularity concepts for architectural forms. He also conducts significant work in cardiac biomechanics, applying geometric morphometrics to analyze heart structures. His publications reveal a consistent pattern of collaboration between engineering, architecture, and medical researchers, including partnerships with Princeton University's Form Finding Lab. Varano teaches multiple courses including Fundamentals of Structural Mechanics, Shells and Membranes: Shape Research and Optimization, and Architectural Design Laboratory 2 across various architecture degree programs at both undergraduate and graduate levels. His teaching approach integrates theoretical mechanics with practical architectural applications. His recent publications demonstrate a dual research trajectory: one focused on architectural shell structures and optimization techniques, and another on cardiac biomechanics and shape analysis. This interdisciplinary work has produced significant contributions to both fields through novel mathematical approaches to shape analysis and structural optimization. Varano maintains active research collaborations across disciplines and institutions, with office hours scheduled on Tuesday mornings for student consultations. His work exemplifies the integration of architectural design principles with rigorous structural analysis and biomedical applications.