Vittorio Solina is a Researcher at the Department of Mechanical, Energy and Management Engineering (DIMEG) of the University of Calabria, specializing in industrial systems simulation and digital twin technologies. His work spans Industry 4.0/5.0 applications, supply chain optimization, and human-robot collaboration. Affiliation: University of Calabria Academic Role: Researcher (Legge 240/10) Research Focus: Digital twins, simulation modeling, sustainable manufacturing His research emphasizes advanced simulation tools for decision support, including applications in Industry 4.0 , Smart Manufacturing , and Agri-Food Supply Chains . Recent work explores adaptive simulation optimization for Industry 5.0 and 5G-enabled robotics. Key publication trends include: (1) Digital twin integration for supply chain resilience (2024-2025), (2) Simulation automation methodologies (2025), and (3) Human-robot collaboration frameworks (2024).
Rita Cucchiara is a Full Professor at the Department of Engineering 'Enzo Ferrari' of the University of Modena and Reggio Emilia. She leads the AImageLab research laboratory, part of the Artificial Intelligence Research and Innovation Center (AIRI) in Modena. Her research focuses on Computer Vision, Pattern Recognition, Machine Learning, and Multimedia, with applications in video surveillance, medical imaging, human-centered AI, and generative models. She is actively involved in interdisciplinary projects like ELIAS (European Lighthouse for AI Sustainability) and ELSA (European Lighthouse on Secure AI). Her recent roles include being elected Rector of the University of Modena and Reggio Emilia in 2025. She has organized and participated in major AI events, including workshops at NeurIPS, CVPR, and ECCV, and has contributed to advancements in multimodal models, deepfake detection, and trustworthy AI. Education details are not explicitly provided, but her extensive academic and research experience at the University of Modena underscores her expertise. She collaborates with institutions like NVIDIA, CINECA, and industry partners such as Digital Design and NVIDIA's AI Technology Center. AImageLab's projects include developing systems for medical imaging, ethical AI, and generative adversarial networks (GANs) for design surfaces. She co-organizes initiatives like the ELLIS Summer School on Large-Scale AI and contributes to policy discussions on AI ethics and societal impact. Her work spans from foundational research (e.g., vision transformers, continual learning) to applied projects (e.g., DDGan system for surface printing). Key grants and collaborations include the FAIR project and PNRR-M4C2 initiatives. She advises students and researchers in AI, with 7 PhD positions funded under national programs. Her leadership roles in AIRI and AImageLab highlight her commitment to bridging academia and industry, fostering innovation in AI-driven solutions for sustainability and healthcare.
Gian Antonio Susto is an Associate Professor at the Department of Information Engineering , University of Padova . With a Ph.D. in Information Technology and post-doctoral experience at National University of Ireland, Maynooth, he leads research in Machine Learning , Semiconductor Manufacturing , and Industrial IoT . His work bridges Anomaly Detection , Continual Learning , and Algorithmic Fairness with applications in Hydroelectric Power Plants , Particle Accelerators , and Smart Mobility . B.Sc. and M.Sc. in Controls Engineering, University of Padova (cum laude) Ph.D. in Information Technology, University of Padova (2013) Post-Doc at National University of Ireland, Maynooth (2012-2013) Assistant Professor at University of Padova (2013-2021) His research focuses on Explainable AI , Virtual Metrology , and Deep Learning for manufacturing and infrastructure monitoring. Recent projects include the AIMS5.0 (AI for Manufacturing Sustainability) and MICS (Circular Economy in Italy) initiatives. His publications span Engineering Applications of Artificial Intelligence , IEEE Transactions , and Information Processing & Management , with 15+ recent papers on topics like Fault Diagnosis , Continual Learning , and Fair Ranking . Key scientific awards include: IEEE CCTA Best Student Paper Award (2021) IP&M 2020 Ph.D Paper Award Best Industry Paper Award, European Workshop on Advanced Control and Diagnosis (ACD 2019) He has supervised Ph.D. students on projects involving Particle Accelerators , Plant Behavior Modeling , and Explainable AI , with alumni now at institutions like Max Planck Institute , IBM , and Scripps Research . Current teaching includes Reinforcement Learning and Explainable Machine Learning at graduate and Ph.D. levels.
Aldo Gangemi is a Full Professor in the Department of Philosophy at the University of Bologna, specializing in Informatics (INFO-01/A). His research integrates Semantic Technologies, Natural Language Processing, Data Science, and Cognitive Science to address challenges in knowledge representation, ontology engineering, and cultural heritage informatics. He co-founded the STLab at ISTC-CNR and DHARC at the University of Bologna, and is on leave from Sorbonne Paris Nord University (Computer Science Lab - LIPN). Scientific roles include serving as area chair for Web Semantics , editorial board member for Semantic Web and Applied Ontology , and conference chairs for major events like WWW2015 and ESWC2018. He has led European projects such as GALEN, WonderWeb, NeOn, and MARIO, and developed software tools like FRED, Aemoo, and Framester. Research interests focus on semantic technologies, knowledge patterns, and applications in humanities, medicine, law, and fisheries. Over 250 peer-reviewed publications span these areas, with emphasis on ontology-based knowledge integration, multimodal reasoning, and ethical AI. His work bridges cognitive science and technological innovation, particularly in virtual reality's societal applications and cultural heritage preservation. Notable contributions include the PRIVAFRAME knowledge graph for sensitive data, the ImageSchemaNet ontology for embodied cognition, and the Sandra neuro-symbolic reasoner. His interdisciplinary approach addresses challenges in AI ethics, creative systems, and citizen-driven data curation.
Marilena Vendittelli is a Professor at Sapienza University of Rome, affiliated with the Robotics group. Her research spans control systems, biomedical robotics, motion planning, and autonomous systems. Research Areas: Control systems for robotics and nonholonomic systems Biomedical applications (hyperthermia therapy, needle insertion) UAV navigation and obstacle avoidance Haptics and human-robot interaction Adaptive estimation algorithms Recent Publications focus on adaptive control of bio-heat equations, safe UAV motion planning, soft robotics actuation, and haptic feedback in medical procedures.
Riccardo Raheli is a Full Professor at the University of Parma , Department of Engineering and Architecture, with a career spanning over three decades in Information and Communication Technologies (ICT). He has served as Chair of the Councils for Telecommunications and Communication Engineering programs, and as representative of the University of Parma in CNIT and its Members' Assembly. Education: Laurea in Electronic Engineering (University of Pisa, 1983), M.Sc. in Electrical and Computer Engineering (University of Massachusetts, 1986), Postgraduate Diploma (Scuola Superiore Sant'Anna, 1987) Key Roles: President of Degree Councils (2002-2018), CNIT Committee Member (2000-2005), Editorial Board member for IEEE Transactions, Springer and MDPI journals His research bridges telecommunications , digital signal processing , and healthcare applications , producing extensive international publications and industrial patents. He has co-authored monographs including Detection Algorithms for Wireless Communications (Wiley, 2004) and LDPC Coded Modulations (Springer, 2009). Recent article trends show interdisciplinary work in automotive stress monitoring (IoT/Matlab-based systems), video processing for healthcare (neonatal seizures, respiratory monitoring), and acoustic field control (microphone virtualization, personal sound zones). His work spans machine learning applications in automotive systems, stochastic acoustic modeling , and power-line communications . Scientific Leadership : Co-Chair for IEEE conferences (ICC 2010, GLOBECOM 2011, ISPLC 2020) Editorial roles in 7+ international journals Grants & Collaborations : Led industrial patents in communications systems Coordinated CNIT Technical Reports series (2025) He teaches Wireless Communications and Digital Signals Laboratory , emphasizing Matlab/Simulink proficiency. His laboratory sessions focus on practical implementation of signal processing algorithms, requiring full software installation on personal devices.
Marina Pucci is an Associate Professor of Near Eastern Archaeology at the University of Florence's Department of History, Archaeology, Geography, Arts and Entertainment (SAGAS). She specializes in the Late Bronze Age and Iron Age periods in Syria and Anatolia, with particular expertise in ceramic analysis, spatial studies, and cultural contact during these historical periods. Her extensive fieldwork includes directing excavations at key sites such as Kınık Höyük in Turkey and participating in major projects at Alalakh, Zincirli, and Tell Shech Hamad. Her academic background includes a PhD summa cum laude from Freie Universität Berlin and a Master's degree from the University of Pisa. She has held numerous academic positions including Fixed-term Researcher under the Rita Levi Montalcini program and currently serves as an Associate Professor at the University of Florence. Pucci's research focuses on material culture of the Late Bronze Age and Iron Age in Anatolia, the Levant, Central Syria, and Northern Mesopotamia. She examines group identity, migration theories, center-periphery relationships in the Neo-Assyrian and Hittite Empires, functional analysis of pottery, social archaeology, architectural space, and Syrian archaeology. Her work often explores cultural encounters, technological transfers, and the impact of political changes on material culture across the ancient Near East. Her recent publications demonstrate a consistent focus on the Amuq region, ceramic analysis, and Iron Age material culture. Her work increasingly incorporates digital documentation methods and addresses cultural heritage preservation in conflict zones. She examines transitions between historical periods, particularly the Late Bronze to Iron Age transition, analyzing how material culture reflects social, political, and economic changes. Her research connects specific archaeological findings to broader historical narratives about cultural contacts and transformations in the ancient Near East. As an academic advisor, Professor Pucci supervises undergraduate, master's, and doctoral students, guiding thesis work on Near Eastern archaeology. She has secured significant research funding including MAECI grants, OrMe Foundation support, Prin projects, and Rita Levi Montalcini funding. Her international collaborations span institutions in Turkey, Syria, Iran, Israel, Germany, and the United States. Professor Pucci leads archaeological field teams at Kınık Höyük in Niğde, Turkey, directing a group of 6-7 students and postdocs from the University of Florence. She coordinates international collaborations with the Oriental Institute at Chicago, Freie Universität Berlin, and various Turkish and Syrian universities on excavation and preservation projects. Her work has significant implications for understanding cultural heritage in conflict areas and developing preservation strategies for endangered archaeological sites.
Maurizio MUZZUPAPPA is a Full Professor at the Department of Mechanical, Energy and Management Engineering (University of Calabria) since 2018. His roles include Rector's Delegate for Technology Transfer, Academic Delegate for Education at DIMEG, and Head of the Physical Prototyping Laboratory at the MaTeRiA Center (UNICAL-CNISM collaboration). He supervises the Unical Racing Team in Formula SAE competitions and co-founded three university spin-offs: 3DResearch, Tech4Sea, and Q-BOT. As Scientific Director of projects like TECH4YOU (climate change adaptation technologies) and GROWN IN THE BLUE (Mediterranean reef conservation), he integrates research in industrial design, augmented reality, and underwater cultural heritage. He has authored over 200 publications (h-index 27) and holds 10 patents. His teaching includes Tools and Methods for Industrial Design and Formula SAE LAB . His research focuses on: Industrial design methodologies with parametric and sustainable approaches 3D prototyping and additive manufacturing User-Centered Design for product ergonomics Virtual/Augmented Reality applications in engineering and cultural heritage Underwater robotics and artifact restoration Recent publications highlight trends in AR for industrial maintenance, generative design tools, and mechatronic solutions for underwater heritage. He has supervised over 300 theses and 10 Ph.D. students while leading technology transfer initiatives.
Albena Kostadinova Yaneva is a Full Professor at the Department of Architecture and Design (DAD) at Politecnico di Torino, Italy. Her academic work bridges Political and Social Sciences with Architecture , focusing on the Sociology of Environment and Territory . She teaches courses such as Academic Writing: 5 Exercises in Style , Innovation Studies , and Architecture, Society and Territory A . Research Areas : Sociological analysis of architectural practices, digital technologies in design, actor-network theory applications, and material culture. Teaching Roles : Course Instructor for PhD and Master's programs, emphasizing critical design, environmental sustainability, and urban sociology. Her recent publications explore themes like the impact of Zoom technologies on architectural collaboration, performative school buildings, and the role of models in design processes. Collaborative works include studies on graphene research labs and the interplay between science and urban development. She supervises PhD student Rayna Elena Razmilic Triantafilo, whose research focuses on architectural discourse platforms. Though no scientific awards are explicitly listed, her work engages with interdisciplinary methodologies, blending architectural anthropology and digital humanities to analyze contemporary design challenges.
Valeria Bruschi is a Researcher at the Department of Information Engineering (DII) within the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. Her academic profile was last updated on April 13, 2024, and she maintains her office at the Engineering Faculty on via Brecce Bianche, with contact information including phone +39 071-220-4486 and email v.bruschi@staff.univpm.it. Dr. Bruschi's research spans multiple domains within audio and signal processing, with particular expertise in spatial audio systems, automotive human-computer interaction, and biomedical signal applications. Her work bridges theoretical signal processing techniques with practical implementations across diverse fields including automotive safety systems, hearing aid technology, sleep medicine, and agricultural monitoring. She has made significant contributions to head-related transfer function (HRTF) processing, real-time audio enhancement algorithms, and innovative monitoring systems that utilize acoustic signals for various applications. Analysis of Dr. Bruschi's recent publications reveals a strong trajectory in developing practical audio processing solutions with real-world applications. Her work shows increasing integration of machine learning techniques with traditional signal processing approaches, particularly in areas like driver monitoring systems, snoring detection and cancellation, and spatial audio rendering. A notable trend is her focus on creating lightweight, real-time implementations suitable for embedded systems and practical deployment scenarios, while maintaining high performance standards. Her research consistently demonstrates interdisciplinary collaboration, connecting audio engineering with fields as diverse as automotive safety, sleep medicine, and agricultural technology. Dr. Bruschi actively contributes to advancing audio engineering through her research on equalization techniques, noise reduction systems, and immersive audio technologies. Her work on pulse compression techniques for hearing aid distortion measurement represents an important contribution to audiological assessment methodologies. Her publication record demonstrates consistent scholarly output with increasing impact across multiple application domains, reflecting her ability to translate theoretical signal processing concepts into practical engineering solutions.
Roberta Spallone is a Full Professor in the Department of Architecture and Design (DAD) at Politecnico di Torino, where she conducts research and teaches in architectural representation, digital modeling, and cultural heritage. Her work bridges historical architectural theory with cutting-edge digital technologies like AR, VR, and AI. Research Interests: Her research focuses on 3D and reconstructive modeling, augmented and virtual reality (AR/VR) for cultural heritage, descriptive geometry, history of architectural representation, and the study of architectural treatises—especially those on military engineering. She explores digital technologies for the survey, representation, and communication of cultural heritage, with a strong emphasis on geometric analysis and historical accuracy. The trends in her recent publications reflect a consistent focus on the digital interpretation of early modern military architecture, particularly through parametric modeling and geometric analysis of treatises by figures like Guarini. She applies AR and VR to enhance accessibility and storytelling in museum and urban heritage contexts, emphasizing inclusive and sustainable cultural tourism. Scientific Awards: Best paper award, Italian Union for Drawing - UID (2021) Best Paper, 40th International Conference of Teachers of Representation Disciplines UID (2018) Best paper, FORTMED Conference 2015 (Historical Research) UID Silver Plaque (1997) PhD 1st prize ex aequo, Italian Design Union (1997) Advising and Grants: She supervises PhD students including Enrico Pupi and Fabrizio Natta. She leads the national PRIN research project INFORTREAT and multiple applied research contracts involving AR/VR for heritage sites like Palazzo Carignano and Mirafiori Castle. She is the Scientific Responsible for collaborative agreements with Fondazione Torino Musei and the Regional Directorate of Museums in Piedmont. Labs, Teams, and Collaborations: She is a key member of the scientific committees of FORTMED, UID, and Nexus Architecture and Mathematics. She serves on editorial boards for journals such as Nexus Network Journal and Diseñar Con... , and has guest-edited special issues. She frequently collaborates with researchers across Europe on projects linking architecture, mathematics, and digital heritage.
Stefania De Vincentis is an Associate Professor of History of Contemporary Art at the Department of Humanities, Ca' Foscari University of Venice. She teaches across multiple degree programs including History of Contemporary Art, Digital and Public Humanities, and Economics and Management of Arts and Cultural Activities. Her office is located at Malcanton Marcorà (VeDPH, second floor) where she holds student office hours on Wednesdays from 4:00 PM to 6:00 PM. Dr. De Vincentis earned her PhD with honors in Human Sciences from the University of Ferrara. Her educational background includes studies in video art and visual arts at the Academy of Fine Arts in Bologna, the IUAV-Institute of Architecture at the University of Venice, and a Master's Degree in Cultural Heritage Management (MuSeC) at the University of Ferrara. She was a Visiting Student at the Getty Research Institute in Los Angeles and a fellow at the Ermitage Italia Center for Art History. Her research focuses on the intersection of art history and digital technologies, particularly examining how digital tools transform museum experiences and art historical scholarship. Dr. De Vincentis investigates digital museum applications, virtual reality approaches to art collections, and the impact of technologies like IIIF (International Image Interoperability Framework) on art historical research. Her work explores how AI, VR, and other digital methodologies can enhance engagement with cultural heritage while raising critical questions about the nature of digital art history as a discipline. Analysis of her recent publications reveals a consistent focus on practical digital applications in museum contexts, particularly at institutions like the Galleria Borghese in Rome. Her work spans from theoretical reflections on digital art history methodology to hands-on implementations of virtual reality and AI technologies for museum collections. As a founding member of the DiDiART laboratory (Diagnostics and Digital for Art) at the University of Ferrara and a member of the Venice Center for Digital and Public Humanities (VeDPH), Dr. De Vincentis actively contributes to digital humanities initiatives. She has collaborated extensively with cultural institutions including the Ferrara Arte Foundation, Pinacoteca Nazionale di Ferrara, and Estense Castle, bridging academic research with practical museum applications. Her teaching portfolio demonstrates a commitment to preparing students for careers at the intersection of art, technology, and cultural heritage management. She offers specialized courses that equip students with both theoretical frameworks and practical skills for engaging with digital transformations in the cultural sector.
Federico Becattini is a Tenure-Track Assistant Professor at the Department of Information Engineering and Mathematics (DIISM), University of Siena, Italy. He is an active member of the Siena Artificial Intelligence Lab (SAILab), where he contributes to cutting-edge research in computer vision, deep learning, and artificial intelligence. His work spans multiple interdisciplinary domains, including autonomous driving, human behavior understanding, cultural heritage, neuromorphic vision, and fashion recommendation. His research interests center on memory-based neural networks , which he has applied in numerous publications at top-tier venues such as CVPR, ECCV, IEEE TPAMI, and ACM TOMM. He has also delivered tutorials on this topic at international conferences including ICIAP 2022 and ACM MM 2022, and taught a Ph.D. course at the University of Florence. His recent work is aligned with the Collectionless AI paradigm, which emphasizes continual learning and interaction with dynamic environments. The recent publications highlight a strong trend in human-centric AI , focusing on understanding people through multimodal analysis of face, body, and clothing, as well as generating 3D virtual avatars. There is also a clear emphasis on memory-augmented architectures for temporal reasoning, explainability, and adaptive learning. His editorial role as Associate Editor of the International Journal of Multimedia Information Retrieval further underscores his standing in the research community. Associate Editor, International Journal of Multimedia Information Retrieval (IJMIR) Organizer, Workshop on Facial and Body Expressions (ICPR2020) Co-organizer, T-CAP Workshop (ICIAP2021, ICPR2022) Co-organizer, MCFR Workshop (ACM MM 2022) Co-organizer, WCPA Workshop and Challenge (ECCV 2022) Federico Becattini actively advises students and researchers within SAILab, particularly in the context of Ph.D. theses and research projects related to Collectionless AI and memory-based models. While specific grants are not mentioned, his extensive publication record and leadership in workshops and editorial roles suggest involvement in funded research initiatives. He collaborates with both academic and international research communities, serving as a reviewer for top-tier conferences and journals. He is a core member of the SAILab research group, which is pioneering the Collectionless AI initiative—a framework for continual learning over time, interacting with humans and agents without relying on pre-built static datasets. This lab serves as a hub for innovation in adaptive and sustainable AI systems.
Federica Piangerelli is a Contract Professor at the University of Macerata , affiliated with the Department of Humanities . She obtained her bachelor's (2016), master's (2018), and PhD (2023) in Philosophy from the same university. 2021: Scholar at Italian Institute for Philosophical Studies 2021: Guest participant at Universidad Nacional del Litoral, Argentina 2023: Visiting Lecturer at University J.E. Purkyně, Czech Republic 2024: Postdoctoral Fellow at Accademia Vivarium Novum Her research focuses on Platonic and Aristotelian ethical-political thought , Platonic dialectics , and Pre-Socratic philosophy (Heraclitus, Eleaticism). She employs a Multifocal Approach to analyze ancient concepts through interdisciplinary lenses. Recent publications examine themes like scholé , Platonic-Egyptian dialogue , dialectics , and civic mythology . These works intersect with fields such as ethics , political theory , and classical reception . Scientific Awards : 2021 - Scholarship, Italian Institute for Philosophical Studies 2024 - Postdoctoral Fellowship, Accademia Vivarium Novum She teaches seminars on Platonic dialectics and Ancient Greek concepts of foreignness , emphasizing methodological rigor and textual analysis.
Fabrizio Falchi is a researcher at the Artificial Intelligence for Media and Humanities (AIMH) Lab of the Institute of Information Science and Technologies (ISTI) within Italy's National Research Council (CNR). He also maintains an associate position at the Biorobotics Institute of Scuola Superiore Sant'Anna. His work focuses on developing advanced multimedia retrieval systems, with the VISIONE platform being his most notable contribution, which has won international competitions including the Video Browser Showdown in 2024 and placed second in 2023. Falchi's educational background includes: Ph.D. in Information Engineering from University of Pisa (Italy) Ph.D. in Informatics from Faculty of Informatics of Masaryk University of Brno (Czech Republic) M.B.A. from Scuola Superiore Sant'Anna in Pisa His research spans deep learning, convolutional neural networks, deep features extraction, similarity search algorithms, distributed indexing systems, multimedia information retrieval, computer vision applications, and peer-to-peer systems. Falchi has made significant contributions to fine-grained visual understanding, cross-modal retrieval (particularly image-text matching), and robustness of deep learning systems against adversarial attacks. His work demonstrates a strong focus on practical applications of these technologies, particularly in video retrieval systems and safety monitoring solutions. Analysis of Falchi's recent publications reveals a strong focus on video and image retrieval systems, with the VISIONE platform being central to his work. His research shows increasing emphasis on fine-grained understanding in computer vision, cross-modal retrieval, and addressing practical challenges like cross-resolution face recognition. Recent work demonstrates innovation in making these systems more efficient through techniques like knowledge distillation (ALADIN) and leveraging virtual worlds for training data. His publications consistently bridge theoretical advances with practical applications in surveillance, safety monitoring, and multimedia search. Falchi's work has received significant recognition: Best paper award at CBMI 2024 for 'Is ClLIP the main roadblock for fine-grained open-world perception?' VISIONE 2024 won the Video Browser Showdown competition in Amsterdam VISIONE obtained second place at Video Browser Showdown 2023 in Bergen Best Paper Award for 'Learning Safety Equipment Detection using Virtual Worlds' at CBMI 2019 Falchi collaborates extensively with researchers at ISTI-CNR, particularly within the AIMH Lab. His work on VISIONE involves collaboration with Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. As co-chair of Ital-IA 2023, the 3rd National Conference on Artificial Intelligence, he plays an active role in the academic community. He is a member of ACM (since 2012), the Computer Vision Foundation, the Italian Association for Computer Vision Pattern Recognition and Machine Learning (CVPL), and the CINI Lab on Artificial Intelligence and Intelligent Systems. Falchi is a key member of the Artificial Intelligence for Media and Humanities (AIMH) Lab at ISTI-CNR, where he leads research on video retrieval systems. The lab has developed the award-winning VISIONE platform, which combines multiple scientific results in content-based video retrieval. His team focuses on developing systems that enable users to search for target videos using textual prompts, drawing objects and colors, or images as query examples. The lab's work demonstrates strong interdisciplinary collaboration, bridging computer science with practical applications in media, safety monitoring, and urban environments.
