جستجوی استاد راهنمای دانشگاهی

• Computer Vision
• Natural Language Processing
• Artificial Intelligence
• +۷ مورد دیگر

Federico D'Asaro is a researcher and PhD student at Politecnico di Torino, affiliated with the Department of Control and Computer Science (DAUIN) and the Computer Graphics & Vision Group (CGVG). He works as an external lecturer and teaching assistant for the Applied Data Science Project course in the Data Science and Engineering program. His research focuses on Vision-Language Models (VLMs), particularly addressing the Modality Gap in multimodal feature spaces and their applications in downstream tasks like semantic segmentation and speech emotion recognition. Education: Master's degree in Data Science and Engineering (2021), currently pursuing PhD in Computer and Systems Engineering (39th cycle, 2023-2026). His research at the intersection of Natural Language Processing and Computer Vision investigates how reducing the Modality Gap improves crossmodal performance. Recent work applies Large Speech Models (LSMs) to cross-lingual emotion recognition and non-verbal vocalization tasks. He collaborates with researchers like Andrea Bottino, Giuseppe Rizzo, and Juan José Márquez Villacis on projects involving multimodal deep learning and feature extraction. The trends in his publications highlight expertise in multimodal learning (Vision-Language Models, speech-text alignment), deep learning for segmentation and emotion recognition, and crossmodal adaptation in speech processing. His 2025 work focuses on contrastive alignment and non-verbal vocalization, while 2024 studies explore transfer learning of speech models across languages. Teaching Contributions External lecturer for Applied Data Science Project (2025/26) Course collaborator for Applied Data Science Project (2024/25) Federico is part of the Computer Graphics & Vision Group (CGVG) , contributing to interdisciplinary projects that bridge Computer Vision , Natural Language Processing , and Speech Emotion Recognition . His work emphasizes practical applications of multimodal models in real-world scenarios.

Debora Nozzaمشاهده پروفایل

استادیار

• Natural Language Processing
• Hate Speech Detection
• Ethics in NLP
• +۴ مورد دیگر

Debora Nozza is an Assistant Professor in Computing Sciences at Bocconi University , where she leads research on ethics in Natural Language Processing with a focus on hate speech detection and algorithmic bias in multilingual contexts. She was awarded a €1.5 million ERC Starting Grant (2023) for her project PERSONAE , exploring personalized and subjective approaches to NLP. Previously, she secured a €120,000 Fondazione Cariplo Grant (2019) for the MONICA project analyzing Italian responses to the pandemic. Education: PhD in Computer Science (2018), University of Milano Bicocca Her research spans hate speech detection , gender bias in language models , and computational social science . She organizes key workshops like the Workshop on Online Abuse and Harms (WOAH) and Gender Bias in NLP (GeBNLP) at ACL conferences, and co-led shared tasks including HODI (Homotransphobia Detection in Italian) and HatEval (hate speech against immigrants). Recent publications address actionable bias metrics , gender pronoun handling in translation , and large-scale stereotype amplification via text-to-image generation . Her work combines model interpretability , cross-lingual frameworks , and social impact analysis to tackle systemic biases. Scientific Awards: ERC Starting Grant (2023) Fondazione Cariplo Grant (2019) She actively participates in international conferences, including keynotes at ECCV 2024 and WASSA 2024 , and collaborates with groups like MilaNLP and ACL workshops .

• Structural Engineering
• Civil Engineering
• Reinforced Concrete Structures
• +۷ مورد دیگر

Diego Gino is a Fixed-term Assistant Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at Politecnico di Torino, Italy, affiliated with the College of Civil and Building Engineering. He holds a scientific disciplinary focus in Structural Analysis and Design (CEAR-07/A) within the broader area of Civil Engineering and Architecture. His research centers on the safety and reliability assessment of reinforced and prestressed concrete structures, particularly through nonlinear finite element analysis. Key areas include seismic reliability of friction-isolated structures, strain-based safety factor estimation, and experimental evaluation of aged concrete infrastructure. His work bridges theoretical research and practical application in structural engineering. Diego Gino teaches several courses including Nonlinear Finite Element Analysis for the Safety Assessment of Reinforced Concrete Structures (as course owner), Seismic Reliability and Robustness of Friction-Isolated Structures , and Design and Construction of Bridges . He has been consistently involved in teaching Structural Design and bridge-related courses since 2019, serving as lecturer and collaborator across Civil and Building Engineering programs. He also contributes to industry-linked educational initiatives such as Challenge@PoliTo. His recent publications, primarily in journals like Engineering Structures and Structural Concrete , focus on strain-based safety assessment methods, reliability evaluation using nonlinear models, and experimental studies on long-serving prestressed concrete bridge elements. These works reflect a strong trend toward practical safety evaluation of aging infrastructure using advanced computational and experimental techniques. Scientific Awards: No scientific awards mentioned in the provided text. Diego Gino supervises PhD student Gabriele Neri in the Civil and Environmental Engineering program (40th cycle, 2024–ongoing), indicating an active role in research mentorship. He is involved in a commercial research project (2025–2027) titled Collaboration to provide students with practical evidence of what is offered in the courses taught , which involves service provision and industry collaboration, enhancing educational outcomes through real-world applications. Laboratories and Research Groups: Member of a Research Group focused on commercial service provision in structural engineering education and practice. Active in research related to nonlinear numerical analysis (NLNA) and experimental structural assessment.

• Pragmatics
• Corpus Linguistics
• Japanese Language and Literature
• +۱۰ مورد دیگر

Eugenia Diegoli is an Assistant Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she conducts research on Japanese and Korean language, pragmatics, and computer-mediated discourse. She is currently working on the SELFEE (SELF-Evaluative Emotions in English and Japanese) project. Her research focuses on the linguistic expression of emotions, apologies, politeness, and cross-cultural communication, primarily using corpus-assisted discourse analysis. Her work bridges Japanese and Western linguistic traditions and explores meta-discourses on linguistic correctness, emotional expressions in online spaces, and the semantics of shame and guilt. She has conducted extensive research on apology-like behavior in Japanese digital environments. Her recent publications include a 2025 monograph Online Apologies in Japanese (Brill) and numerous peer-reviewed articles in journals such as Journal of Pragmatics , Language and Cognition , and Intercultural Pragmatics . Her work shows a strong trend in analyzing digital discourse, emotional language, and sociopragmatic variation in Japanese, with increasing cross-linguistic comparisons involving English, French, and Korean. Her scientific awards include the Seal of Excellence for an MSCA post-doctoral fellowship and multiple fellowships such as the Marco Polo and JASSO scholarships. She has also received the Best Doctoral Student Paper Award at ICDP-1 (2022). She has advised and tutored students at the University of Bologna and is actively involved in academic service as a reviewer for several journals, including Journal of Pragmatics and Corpus Pragmatics . She has presented her research at international conferences such as IPRA, ADDA, and Corpora. She has also engaged in public outreach through webinars on Japanese language topics during the European Researchers' Night. She has been a Visiting Research Scholar at Meiji University, Waseda University, and Lancaster University. Her languages include native Italian, C2 Japanese (JLPT N1), and C2 English (IELTS 8.0).

• Geotechnical Engineering
• Geoenvironmental Engineering
• Geomechanics
• +۷ مورد دیگر

Vincenzo Sergio Vespo is a Researcher at the Department of Structural, Geotechnical and Building Engineering (DISEG) and serves as an External Lecturer and Teaching Assistant at the Department of Environment, Land and Infrastructure Engineering (DIATI), both at the Polytechnic University of Turin. His work bridges research and education in geotechnical and environmental engineering, with a strong focus on sustainable infrastructure and climate action. His research interests include: CO2 storage and geological sequestration Coupled thermo-hydro-chemo-mechanical processes Geoenvironmental and geotechnical engineering Numerical modeling of porous media Unsaturated soil mechanics Waste disposal and barrier systems His recent publications highlight a strong trend in modeling and experimental analysis of caprock behavior for CO2 storage, hydraulic performance of cement-bentonite mixtures, and evapotranspiration cover systems. These works reflect interdisciplinary efforts in civil, environmental, and computational engineering aimed at addressing climate change and sustainable land use. Scientific contributions include: Development of numerical models for capillary pressure estimation in caprocks Physical modeling of drying effects on engineered barriers FEM simulation of atmosphere-soil interactions Investigation of chemo-hydro-mechanical degradation in caprocks Vespo actively contributes to teaching as a course collaborator in both bachelor's and master's programs, particularly in geotechnics and experimental civil engineering. He has not been awarded any explicit scientific prizes, nor are any grants or advising roles mentioned in the available text. His research aligns with UN Sustainable Development Goals 13 (Climate Action) and 15 (Life on Land), and he operates within the ERC PE8_3 sector (Civil Engineering, Geotechnics).

Andrea Maranzoniمشاهده پروفایل

دانشیار

• Hydraulics
• Numerical Modelling of Free Surface Flows
• Flood Hazard Assessment
• +۷ مورد دیگر

Andrea Maranzoni is an Associate Professor of Hydraulics at the Department of Engineering and Architecture, University of Parma, Italy, where he has been serving since February 2019. He previously held assistant professor positions at the University of Parma and the University of Brescia, and has been actively involved in teaching and research in hydraulic and environmental engineering. Education: Ph.D. in Civil Engineering (Hydraulic Engineering), University of Parma, 2004 Degree in Civil Engineering (cum laude), University of Parma, 2000 His research focuses on the numerical and physical modeling of unsteady free surface flows, flood hazard assessment due to dam-breaks and levee breaches, probabilistic flood mapping, shallow water equations, and finite volume methods. He also investigates hydrodynamic actions on structures, mixed flow modeling, and imaging techniques for water surface measurement. His work bridges theoretical hydraulics with practical flood risk mitigation strategies. The recent publications (2023–2024) reflect a strong trend in dam-break modeling, flood hazard quantification, and theoretical advances in fluid mechanics. Key themes include probabilistic risk assessment, extension of classical equations like Bernoulli’s under non-inertial frames, and experimental analysis of hydrophobic sphere impacts. These works demonstrate a consistent focus on improving flood prediction accuracy and safety through advanced numerical and experimental methods. Scientific Awards: None listed in the provided text. Maranzoni has advised one Ph.D. student, Susanna Dazzi, and has supervised approximately 30 Bachelor’s and Master’s theses. He has received research funding from MIUR’s FFABR program (€3,000) and is a participant in the RELAID project (€600,000 total, 2020–2022). He also serves as Vice Coordinator of the Ph.D. Programme in Civil Engineering and Architecture at the University of Parma. He is involved in the research community through editorial roles, notably as Guest Editor for a special issue in Water (MDPI) on dam-break modeling, and as a reviewer for leading journals such as Journal of Hydraulic Engineering (ASCE) and Advances in Water Resources . He is a member of the Italian Hydraulic Group (GII), the Faculty Board of the Ph.D. program, and the CIDEA Interdepartmental Center for Energy and the Environment.

Salvatore Ivan Trapassoمشاهده پروفایل

استادیار

• Applied harmonic analysis
• Fourier analysis
• Machine learning
• +۵ مورد دیگر

Salvatore Ivan Trapasso is a Fixed-term Assistant Professor at the Department of Mathematical Sciences "GL Lagrange" (DISMA) , Polytechnic University of Turin , and a member of the SmartData@PoliTO - Big Data and Data Science Laboratory . His research focuses on Applied Harmonic Analysis , Fourier Analysis , Machine Learning , and Quantum Theory , with expertise in Mathematical Analysis (MATH-03/A) and Theoretical PDEs (PE1_11). Education : Implied PhD in Mathematics. Research Areas : Phase Space Analysis, Time-Frequency Methods, and Applications to Quantum Mechanics. His recent publications investigate phase space techniques for Feynman Path Integrals , Twisted Laplacian , Compressed Sensing , and Stability of Scattering Transforms . His work bridges Harmonic Analysis with Machine Learning and Quantum Dynamics . Notable scientific awards include the Axioms Young Investigator Award (2022) , Best Paper Award (ICGF 2020) , and the Quality Award 2019 from Polytechnic University of Turin. He serves on the Editorial Board of Advances in Operator Theory and as Associate Editor for University Texts in the Mathematical Sciences . Teaching roles include Lecturer for Mathematical Principles in the College of Architecture and Design , Collaborator for Mathematical Analysis I/II in Biomedical and Aerospace Engineering, and Contributor to advanced mathematical methods in Computer Science Engineering.

• Germanic Philology
• Medieval Literature
• Anglo-Saxon Studies
• +۴ مورد دیگر

Mauro Camiz serves as a Tenure-Track Researcher (Assistant Professor) in the Department of Modern Literature and Culture within Sapienza University of Rome's Faculty of Humanities. He teaches core Germanic Philology courses including Introduction to Germanic Philology and Germanic Philology Master's Degree/IA , scheduled for the second semester of the 2025-26 academic year across multiple degree programs in Linguistics, Modern Letters, and Cultural Studies. Academic Background: PhD in Historical Linguistics of Eurasia, University of Macerata (2008-2011) Master's Degree in Linguistics, Sapienza University of Rome (2006) Postdoctoral Fellowships in Germanic Philology, Sapienza University of Rome (2012-2015) Research Focus: Camiz specializes in medieval Germanic textual traditions with dual expertise in Anglo-Saxon and Scandinavian domains. His work examines religious poetry development, interdialectal contact phenomena, and translation practices in early medieval contexts. Key investigations include Bede's Historia Ecclesiastica reception, Benedikts saga source criticism, and anthroponymic patterns in literary texts. Recent expansions address Danish-Italian literary exchanges in early modernity, particularly Machiavelli's Belfagor translations. Scholarly Output Trends: Publications from 2008-2021 reveal sustained engagement with Old English and Old Norse primary sources, evolving from manuscript linguistics toward comparative cultural analysis. The trajectory shows increasing methodological sophistication in narrative theory and translation studies, with recent works demonstrating expanded temporal scope into early modern Scandinavian adaptations of Italian literature. Awards & Recognition: No scientific awards or fellowships were documented in the source materials. Academic Service: Camiz manages comprehensive course operations through Google Classroom platforms since 2020-21, maintains structured examination protocols in the Faculty of Humanities building (Ed. CU003), and provides appointment-based office hours. His teaching spans undergraduate and graduate levels across five distinct degree programs.

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Alessandro Betti is an Assistant Professor of Computer Science at IMT Lucca within the SySMA research unit. Previously, he held postdoctoral positions at Université Côte d’Azur (Maasai team) and Università di Siena (Siena Artificial Intelligence Lab/SAILab). He earned his Ph.D. in Computer Science (Smart Computing) from the Universities of Florence, Pisa, and Siena in 2020, and a Master’s in Theoretical Physics from the University of Pisa, focusing on large-N CP(N-1) sigma models and solitonic solutions related to QCD confinement. His research integrates theoretical foundations of machine learning with practical applications in computer vision. Key areas include data stream processing, online continual learning, and motion-invariant visual feature extraction using deep architectures. Current work explores optimal control principles for learning dynamics and formalizes a transport equation derived from discrete mancala games. He co-authored two books: Machine Learning: A Constraint-Based Approach (2023) and Deep Learning to See (2022), both foundational texts in their fields. His publications span journals like Neurocomputing and Frontiers in Artificial Intelligence , with contributions to conferences such as NeurIPS and AAAI. Research highlights include developing variational calculus frameworks for learning laws, neural time-reversed Riccati equations, and foveated neural computation models inspired by biological vision systems. Betti collaborates with institutions like SAILab and Maasai, focusing on interdisciplinary projects blending physics-inspired mathematics with AI. His work bridges theoretical rigor and applied challenges in dynamic, real-world data environments.

Sonia Liboria Maria Alessandraمشاهده پروفایل

استاد مدعو

• Spanish Language Teaching
• Teacher Training
• ICT in Education
• +۳ مورد دیگر

Sonia Liboria Maria Alessandra is an Adjunct Professor at the Department of Humanities, University of Catania, and teaches at the Special Teaching Structure in Ragusa. She holds a degree in Modern Foreign Languages and Literatures (University of Catania, 1991) and Modern Literatures (University of Catania, 1997), the latter earning her the Leonardo Sciascia degree prize. Graduate of University of Catania (1991, 1997) Collaborates with Instituto Cervantes as DELE examiner Peer reviewer for Cuadernos de Lingüística Hispánica Her research focuses span: Spanish as a second language instruction ICT integration in pedagogy Intercultural communication frameworks Translation theory and practice Literary text analysis Language assessment methodologies Recent publications emphasize gamification in language classrooms, cinematic intercultural competence, and fashion terminology acquisition. Scientific awards include the prestigious Leonardo Sciascia degree prize. She conducts seminars on: Spanish language education ICT application in linguistics Translation of literary works Intercultural mediation

Caterina VIOLAمشاهده پروفایل

استادیار

• Quantum Algorithms
• Computational Complexity
• Constraint Satisfaction Problems
• +۳ مورد دیگر

Caterina VIOLA is a theoretical computer scientist and mathematician currently serving as a Fixed-term Assistant Professor (RTDA) at the Department of Mathematics and Computer Science of the University of Catania . Her research focuses on quantum algorithms for text processing, computational complexity, and constraint satisfaction problems within the National Center for HPC, Big Data and Quantum Computing project. Education: Master's in Mathematics from University of Catania (Erasmus exchange at Universidad de Granada); Doctor rerum naturalium in Mathematics from Technische Universitaet Dresden Her research bridges theoretical computer science and mathematics, with a particular emphasis on approximation algorithms, inapproximability, and numerical semigroups. She has previously worked at the University of Oxford as a post-doctoral researcher and tutor, followed by a post-doc position at Charles University in Prague. Recent publications highlight her work on linear programming relaxations for constraint satisfaction problems, submodular functions, and numerical semigroup analysis. Current teaching responsibilities include Laboratorio di Algoritmi for Computer Science undergraduates and Informatica for Communication Sciences and Languages students. As a Senior Associate Post-doctoral Researcher at Oxford and post-doc at Charles University in Prague, she has developed expertise in mathematical foundations of computational optimization and their practical implementations.

• Robotics
• Manufacturing Engineering
• Mechanical Engineering Design
• +۵ مورد دیگر

Fabio Pini is an Associate Professor at the University of Modena and Reggio Emilia's Department of Engineering 'Enzo Ferrari'. His research focuses on robotics, manufacturing engineering, and advanced design methodologies. He leads the IDEALab (Intelligent Design, Engineering, and Automation Laboratory) and teaches courses in Smart Robotics, Automotive Design, and Additive Manufacturing. Education: Not explicitly stated in provided texts. Research Interests: Collaborative robotics and human-robot interaction Computer-aided design (CAD) and topology optimization Additive manufacturing processes and sustainability Automotive component design and lightweighting Robotics in medical applications (e.g., surgical navigation) Manufacturing process integration and automation Teaching: Smart Robotics (Master's in Electronics/Computer Engineering) Formula SAE Vehicle Design (Mechanical Engineering) Integrated Computer-Based Design (Mechanical Engineering) Automotive Computer-Aided Design (Advanced Automotive Engineering) Labs/Teams: IDEALab focuses on intelligent design systems, robotic automation, and advanced manufacturing solutions. Collaborations include industry partners for automotive and medical robotics projects.

Pamela Vocaleمشاهده پروفایل

پژوهشگر

• Applied Physics for Architecture
• Energy Efficiency in Buildings
• Sustainable Design
• +۷ مورد دیگر

Pamela Vocale is a fixed-term Researcher in the Department of Engineering and Architecture at the University of Parma, actively engaged in teaching and research related to applied physics and energy efficiency in architectural and urban contexts. She teaches courses such as Applied Physics for Architecture, Energy Efficiency for Sustainable Design, and Systems for Sustainable Building across multiple degree programs including Architecture Regeneration Sustainability and Sustainable Design for Food Systems. Research Interests: Her work centers on thermal engineering, particularly in microchannel heat transfer, building thermophysics, and sustainable energy systems. She investigates slip flow, viscous dissipation, and rarefied gas dynamics in microchannels, as well as solar-assisted air-conditioning and building energy retrofitting. These topics are crucial for advancing energy-efficient and environmentally responsive architectural design. The recent publications highlight a strong focus on microscale thermal systems and sustainable building technologies, with a trend toward numerical modeling and performance optimization under non-ideal boundary conditions. Her research bridges mechanical engineering principles with architectural applications, emphasizing sustainability and efficiency. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no information available regarding student advising or research grants. However, her collaborative publications suggest active research engagement with colleagues such as Morini G. L. and others in thermal and environmental engineering. Labs and Teams: While specific lab affiliations are not mentioned, her research on microchannels and building energy systems likely involves computational and experimental work within the Department of Engineering and Architecture at the University of Parma, possibly linked to thermal sciences or sustainable design research groups.

• 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.

• Multivariate Analysis
• Fuzzy Clustering
• Probabilistic Graphical Models
• +۳ مورد دیگر

Vincenzina Vitale serves as a Tenure-Track Assistant Professor of Statistics within the Department of Social and Economic Sciences at Sapienza University of Rome. Her academic profile centers on advanced statistical methodologies with applications spanning economics, public policy, and sustainability initiatives. She teaches core courses including Statistics and Data Science for Sustainability and Statistical Methods and Models for Economics and Public Policy, maintaining regular office hours on Tuesdays from 12:30 to 14:30 by email appointment. Her research program focuses on multivariate analysis, specializing in innovative fuzzy clustering techniques for complex data structures such as time series, spatial data, and mixed data types. She extensively employs probabilistic graphical models, particularly Bayesian networks, for data integration and modeling challenges. This work bridges theoretical statistics with practical applications in electoral analysis, financial volatility, sports analytics, and public health domains including COVID-19 pandemic response. Analysis of her 15 most recent publications reveals a dominant trend toward developing spatially-aware and robust fuzzy clustering algorithms. These methods increasingly incorporate regularization techniques, entropy principles, and copula models to handle interval-valued data, count data, and tail dependencies. Key application areas include regional competitiveness measurement (NUTS2/NUTS3 frameworks), electoral studies, sports performance analytics, and pandemic modeling, demonstrating consistent contributions to top-tier statistical journals. No scientific awards or fellowships were documented in the available materials. While her publication record indicates significant research productivity, specific details regarding graduate student advising, research grants, or collaborative projects were not explicitly mentioned in the provided texts. Similarly, information about laboratory facilities or dedicated research teams remains undocumented in the current sources.