جستجوی استاد راهنمای دانشگاهی

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.

• Industrial Engineering Design
• Augmented Reality (AR) Applications
• Product Development Methodologies
• +۵ مورد دیگر

Dr. Gianluca Demartini is a leading researcher in Human-in-the-loop AI Systems with significant contributions to Crowdsourcing , Information Retrieval , and Generative AI applications. His work bridges Machine Learning and Human-Computer Interaction , focusing on Bias Management , Fact-Checking , and Ethical AI . Major Affiliations : L3S Research Center, ScienceWISE platform, and collaborations with institutions like University of Queensland and University of Padua Over 15 years, his research has explored Crowdsourcing Quality Control (Mechanical Cheat 2012), Entity Ranking (2008-2013), and Semantic Search . Recent work (2024-2026) focuses on Generative AI Impacts in domains like Media Literacy , Data Curation , and Visual Analytics . Scientific Recognition : Best Paper Award (Top 1.4%) at ICTIR 2023 Best Short Paper Award (Top 0.6%) at ECIR 2020 Honorable Mention (Top 2%) at CSCW 2020 Best Demo Award at ISWC 2011 3rd Best Paper at LA-WEB 2008 His 15 most recent publications (2024-2026) demonstrate expertise in LLM-based Content Moderation , Immersive Data Visualization , and Trustworthy AI Systems . He has pioneered methods for Bias Detection in Wikipedia (2013), Entity Ranking (2008-2013), and Human-AI Collaboration frameworks. His work consistently addresses ethical challenges in AI for Social Good and Responsible Data Science .

• Information Retrieval
• Crowdsourcing
• Human-in-the-loop AI
• +۵ مورد دیگر

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.

• 3D modeling
• Reconstructive modeling
• Augmented Reality (AR)
• +۱۲ مورد دیگر

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.

• Digital Art History
• Contemporary Art History
• Digital Museum
• +۷ مورد دیگر

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.

• Computer Vision
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Patrick Dallasega is an Associate Professor in the Department of Industrial Plants at the Faculty of Science and Technology of the Free University of Bolzano (Italy). He holds a PhD from the University of Stuttgart and has been a Visiting Scholar at Chiang Mai University (Thailand) and Worcester Polytechnic Institute (USA). His expertise spans supply chain management, Industry 4.0 integration in SMEs, lean construction methodologies, and sustainable production planning in ETO/MTO environments. He teaches Project Management and Industrial Plants courses in Industrial Mechanical Engineering programs. His research focuses on digital transformation in manufacturing, including smart mobile factories, augmented reality applications for training, and synchronization of production and on-site assembly processes. Collaborative projects like the AR-enhanced industrial training initiative with Memc aim to reduce errors and costs in complex industrial setups. His work emphasizes human-centered technology integration, sustainability, and real-time data utilization for adaptive production strategies. Education Bachelor/Master: Free University of Bolzano (Italy) MSc: Polytechnic University of Turin (Italy) PhD: University of Stuttgart (Germany) Research Interests Professor Dallasega’s research explores the intersection of Industry 4.0 technologies with lean manufacturing principles, particularly in complex Engineer-to-Order (ETO) and Make-to-Order (MTO) sectors. He investigates how digital twin frameworks, augmented reality (AR), and real-time data analytics can enhance supply chain resilience, reduce operational losses, and improve workforce training efficiency. His work also addresses sustainability challenges in mobile and distributed manufacturing systems, emphasizing eco-friendly logistics and smart factory design. Key Projects Recent collaborations include: Development of an AR-based training module to boost procedural knowledge retention in machinery setups Comparative studies on Industry 4.0 adoption in SMEs across Europe and Asia Framework for digital twin-driven quality control in precast manufacturing Grants & Advising No specific grants or student advisees are listed in the provided data. His focus remains on collaborative industry projects and institutional teaching responsibilities. Labs & Teams Involved in cross-disciplinary teams at the Free University of Bolzano, particularly in the NOI Techpark innovation hub. Leads initiatives on smart mobile factories and human-centered robotics applications in manufacturing environments.

• Supply Chain Management
• Industry 4.0
• Lean Construction
• +۷ مورد دیگر

Pasquale Cascarano is a fixed-term Assistant Professor at the University of Bologna , affiliated with the Department of the Arts . His research bridges computer science with creative industries (cinema, art, fashion) and biomedical applications, focusing on Artificial Intelligence and Extended Reality paradigms. He collaborates with national and international institutions on interdisciplinary projects. Institutional Affiliation: University of Bologna Academic Role: Assistant Professor (fixed-term) Research Interests center on integrating AI and XR into creative sectors and healthcare, with emphasis on: Generative AI for immersive environments Medical imaging and diagnostics Digital heritage preservation XR-based educational tools 3D visualization techniques Creative technology applications Recent Publications highlight trends in: Medical XR for surgical training AI-driven image restoration LLM integration with AR/VR Privacy in collaborative AR Fashion and cultural heritage digitization Deep learning for video enhancement

• Artificial Intelligence
• Extended Reality
• Computer Science
• +۳ مورد دیگر

Michele Gattullo serves as an Assistant Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, specializing in design methods for industrial engineering (ING-IND/15). His research bridges cutting-edge extended reality technologies with practical industrial applications, focusing on human-centered solutions for manufacturing, maintenance, and workplace design. Dr. Gattullo's research portfolio centers on Augmented Reality, Virtual Reality, and Biophilic Design, with significant contributions to Human-Computer Interaction in industrial contexts. He investigates how nature-inspired elements in virtual workspaces enhance employee well-being and productivity, while simultaneously developing practical AR tools for assembly guidance, technical documentation, and maintenance support. His work uniquely integrates ergonomics, cognitive psychology, and industrial engineering to optimize human-technology interaction in complex production environments. Analysis of his 15 most recent publications reveals two dominant research trajectories: biophilic design frameworks for virtual/metaverse workspaces (2023-2025) and industrial AR authoring methodologies. The biophilic stream establishes evidence-based guidelines for digital nature integration, while the AR stream delivers validated tools like ADAM and minimal AR approaches that streamline technical documentation creation. Both trajectories emphasize user experience validation through rigorous industrial studies, demonstrating strong interdisciplinary impact across computer science, industrial engineering, and environmental psychology. Scientific Awards: No awards or honors were documented in the available sources. Advising and Grants: The provided materials contain no information regarding graduate student supervision, research grants, or funding sources. His academic profile emphasizes publication output over mentoring activities or project financing details. Laboratories and Teams: While Dr. Gattullo's research involves advanced XR technologies, the source text does not specify laboratory facilities, research groups, or collaborative teams associated with his work at Politecnico di Bari.

• Augmented Reality
• Virtual Reality
• Biophilic Design
• +۳ مورد دیگر

Federica FERRAGUTI is an Associate Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. Her research focuses on robotics, control systems, and automation, with a particular emphasis on collaborative robotics, surgical robotics, and industrial applications. She teaches courses such as Industrial and Collaborative Robotics, Automatic Controls, and Collaborative Robotics for Smart Industry. Her work integrates advanced control strategies, safety protocols, and human-robot interaction principles to enhance automation in both industrial and medical contexts. Research Interests: Federica’s research spans robotics control, human-robot collaboration, surgical robotics, and safety-critical systems. She develops novel algorithms for motion planning, trajectory generation, and real-time control, with applications in manufacturing and healthcare. Her recent work includes AI-driven augmented reality systems for surgery, energy-efficient safety frameworks, and intuitive robot-assisted welding solutions. Publications: Over 40 peer-reviewed articles in journals and conferences, including work on collaborative robotics safety, real-time surgical AR integration, and industrial automation. Key contributions include high-velocity walk-through programming for industrial robots and energy-based control architectures for shared autonomy. Labs/Teams: Active in the ARSControl research group, focusing on advanced robotics systems. Collaborates with industry partners on projects like MyWelder, an intuitive welding system for SMEs. Engages in EU-funded initiatives like the SARAS project for surgical teleoperation.

• Robotics
• Control Systems
• Automation
• +۳ مورد دیگر

Maurizio Mancini is an Associate Professor in the Department of Computer Science at Sapienza University of Rome. His research focuses on Human-Computer Interaction, Affective Computing, and Multimodal Interaction, with applications in Virtual Reality, Embodied Conversational Agents, and Digital Commensality. He has contributed to understanding expressive movement analysis, social robotics, and adaptive systems in gaming and mindfulness contexts. 2024 : 8 publications on VR mindfulness, reinforcement learning, digital commensality, and multimodal interaction 2023 : 4 studies on human-food interaction, gait recognition, and AI human-likeness 2022 : 5 papers on social robots, collaborative dining, and anomaly detection His work spans topics like nonverbal leadership in full-body improvisation, transactive memory systems in group interactions, and computational models for human-food interaction. Teaching includes courses on Human-Machine Interaction and Programming.

• Human-Computer Interaction
• Multimodal Interaction
• Affective Computing
• +۵ مورد دیگر

Ivano Bilenchi is a postdoctoral researcher at the Polytechnic University of Bari's Information Systems Laboratory (SisInf Lab). He holds a Master's in Computer Science Engineering (2020) and a Ph.D. in Electrical and Information Engineering (2024) from the same institution. His research focuses on AI, Semantic Web technologies, edge computing, and IoT applications, with notable contributions to embedded OWL reasoners and cloud-edge intelligence frameworks. He teaches courses such as Formal Languages and Compilers, Secure Programming, and Information Systems Security. His work bridges academic research with practical applications, including iCleaner (iOS system cleaner), Tiny-ME (Semantic Web reasoner), and AI-LMD (fleet optimization tool). He actively participates in conferences like ICWE and I-CiTies, and has contributed to initiatives like the sustainable development project HowtUyoga. His awards include a First Prize at the Sustainable Development Festival (2018). Research highlights include developing Cowl (lightweight OWL library for edge devices) and proposing innovative architectures for cloud-edge AI in sensor networks. Collaborations span semantic blockchain marketplaces (RideMATCHain) and UAV autonomy using knowledge representation.

• Artificial Intelligence
• Semantic Web
• Internet of Things (IoT)
• +۴ مورد دیگر

Paolo Buono is Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He holds a PhD in Computer Science with specialization in Visual Data Analysis. His research focuses on Information Visualization, Visual Analytics, Human-Computer Interaction, and Mobile Applications. Co-founder and CEO of LARE (2010), a university spinoff providing real-time surgical support through audio-video telestration Member (since 2002) and computer science coordinator at METEA Research Center for environmental protection Visiting scientist at AVIZ (France), University of Maryland (USA), and Fraunhofer IPSI (Germany) His work spans multiple application domains including: Cultural Heritage through interactive exploration systems Healthcare with smart therapeutic devices Environmental Monitoring via CET system IoT-based Smart Interactive Experiences He has contributed to: Dynamic hypergraph visualization techniques End-User Development frameworks (EUDroid) Usability evaluation methodologies Mobile health applications As project leader, he has coordinated: EU-funded VisMaster Coordination Action (2008-2010) Italian Ministry-funded LOGIN project (2014-2015) Apulia Region environmental projects His professional engagements include: Co-chair roles at INTERACT, AVI, IS-EUD conferences Program committee participation in VIS series and HCI conferences Member of ACM, IEEE, and SIGCHI Italy

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +۸ مورد دیگر

Luigi De Napoli is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria's Engineering Faculty. He has been serving in this position since March 1, 2006, and achieved National Scientific qualification as associate in the Italian higher education system for the disciplinary field of 09/A3 - Industrial design, machine construction, and metallurgy, starting from December 20, 2019. His educational background includes a Bachelor Degree in Mechanical Engineering from the University of Calabria in 1993, followed by qualification as an Engineer in 1994. He completed his Ph.D. degree in Design and Methods in Industrial Engineering at the University of Bologna in 2003, with a thesis focused on the reconstruction of archaeological artifacts using CAD systems. High school: Liceo Scientifico Statale E. Fermi di Cosenza (1986) Bachelor Degree: Mechanical Engineering, University of Calabria (1993) Engineer Qualification (1994) Scholarship: ITIA-CNR in Milan on advanced FEM and BEM systems (1995/96) Ph.D.: Design and Methods in Industrial Engineering, University of Bologna (2003) Dr. De Napoli's research primarily focuses on Reverse Engineering applications in Mechanical Engineering, Product Design and Development, and Virtual Prototyping. His work spans various applications including the reconstruction of archaeological artifacts, geometry inspection, hull and prosthesis reconstruction, and sustainable product design methodologies. His recent publications demonstrate a strong emphasis on biomedical applications, particularly in cranial prosthetics, tissue engineering, and ovarian tissue culture systems. His teaching portfolio is extensive, covering courses such as Computer-Aided Design, Sustainable Product Design, Engineering Drawing/CAD, and Modeling and Prototyping for Bioengineering across both Mechanical and Management Engineering programs. He has been teaching CAD courses since 2010 and Sustainable Product Design since 2011 at the University of Calabria. Dr. De Napoli is actively involved in the Research Group for Industrial Engineering Design and Methods (ING-IND/15), which focuses on methodologies and tools for product development processes, industrial product design and development (with particular attention to parametric and sustainable aspects), prototyping (virtual and mixed), and manufacturing using 3D printers. His work also encompasses Reverse Engineering techniques, User Centered Design methodologies for ergonomic analysis, and Virtual and Augmented Reality applications for industrial product design.

• Reverse Engineering
• Product Design and Development
• Virtual Prototyping
• +۳ مورد دیگر

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

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

Massimo Robiony is a Full Professor at the University of Udine, affiliated with the DAME Department of Medical Area. As Director of the Maxillofacial Surgery Clinic, School of Specialization in Maxillofacial Surgery, and Level II Master's Degree in Health and Humanization, he leads multidisciplinary initiatives in surgical innovation. His research spans 3D printing, virtual surgical planning, robotic surgery, and AI applications in craniofacial medicine. Academic Leadership: Director roles in clinical, specialization, and master's programs. Research Focus: 3D printing, AI diagnostics, and robotic surgery for maxillofacial pathologies. Email: massimo.robiony@uniud.it Recent publications emphasize AI-driven image processing, bioprinting, and augmented reality in surgical oncology. His work highlights the integration of virtual planning and 3D printing for trauma management, alongside advancements in robotic and transoral techniques for orbital and craniofacial disorders.

• Maxillofacial Surgery
• Head and Neck Surgery
• Virtual Surgical Planning
• +۳ مورد دیگر