جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Computer Vision
• Multimedia
• +۴ مورد دیگر

Alberto Del Bimbo is a Full Professor of Computer Engineering at the Department of Systems and Computer Science, University of Florence, Italy. He serves as Director of the Media Integration and Communication (MICC) Center, a National Center of Excellence focused on Artificial Vision, Artificial Intelligence, and Multimedia Technologies. His career spans academia and leadership roles, including Deputy Rector for Research and Innovation Transfer (2000-2006) and Director of the Department of Systems and Computer Science (1997-2000). Education : Master Degree in Electronic Engineering (1977), University of Florence. Research Interests : Artificial Vision, Multimedia, Multimodal Interaction, Image/Video Analysis, Surveillance, and Industry Automation. Academic Leadership : Editorial roles including Editor-in-Chief of ACM TOMM , and leadership in IEEE, IAPR, and ACM conferences. Projects : MICC Center’s work on neuromorphic computing, deepfake detection, and AI-driven surveillance systems, with industrial partnerships (Leonardo SpA, Thales Italia, IARPA). Article Trends : Recent work focuses on neuromorphic event-based vision, multimodal emotion prediction, compatible AI representations, and deepfake detection using local surface frames. Applications span smart environments, cultural heritage, and real-time surveillance. Scientific Awards : ACM Distinguished Scientist (2016) ACM Award for Outstanding Technical Contributions to Multimedia (2016) IEEE Senior Member IAPR Fellow Labs & Teams : Leads the MICC research team at the University of Florence, collaborating with international institutions and companies on vision and AI innovation.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Prof. Fabio Galasso is a Full Professor in the Department of Computer Science at Sapienza University of Rome, where he heads the Perception and Intelligence Lab (PINLab). His research focuses on fundamental innovation in computer vision and machine learning, with particular emphasis on distributed intelligent systems, perception frameworks, and general intelligence within sustainable and interpretable AI contexts. His research interests span multiple domains of computer vision including video segmentation , motion forecasting , distributed intelligent systems , and shape reconstruction . Galasso's work emphasizes sustainable AI approaches that operate within constrained computational resources while maintaining interpretability and verifiability. His research bridges theoretical foundations with practical applications across retail, smart cities, and industrial settings. His recent publications demonstrate a clear progression toward increasingly complex human motion understanding and forecasting, with a strong emphasis on real-world applications. The research trajectory shows movement from foundational video segmentation techniques toward sophisticated motion prediction systems and anomaly detection frameworks that integrate multiple modalities. Key themes include temporal consistency, computational efficiency, and practical deployability in resource-constrained environments. His scientific achievements have been recognized with prestigious awards: 2019 IoT/WT Innovation World Cup 2019 Digital Champions Award 2018 Deutscher Digital Award Galasso has coordinated significant research initiatives including a Marie Sklodowska-Curie Actions project (Horizon 2020) and served as Principal Co-Investigator in multiple German-funded projects from the Ministry of Education and Ministry of Economics. His industry experience includes founding and directing OSRAM's Computer Vision Department in Munich, where he led R&D efforts connecting AI research with smart lighting applications, resulting in successful innovation transfers like the award-winning VISN product. He leads the Perception and Intelligence Lab (PINLab) at Sapienza University of Rome, fostering research that spans fundamental computer vision techniques to practical implementations in retail, smart cities, and industrial applications. The lab maintains strong connections with both academic institutions (including previous collaborations with University of Cambridge and Max Planck Institute) and industry partners.

Claudia Rinaldiمشاهده پروفایل

پژوهشگر

• Telecommunications
• Signal Processing
• Wireless Sensor Networks
• +۴ مورد دیگر

Claudia Rinaldi is a Post Doctoral Researcher at the Faculty of Engineering , University of L'Aquila , with a focus on telecommunications and signal processing. She contributes to projects involving Wireless Sensor Networks (WSN) , Software Defined Radio , and Cognitive Radio applications in both engineering and artistic domains. Doctorate in Wireless Communications (2009, University of L'Aquila) Master's in Electronic Engineering (cum laude) with thesis work at KTH Stockholm Trumpet graduate from Conservatory of Music "A. Casella", L'Aquila (2006) Her research spans physical layer protocol design , WSN applications in electronic music , and MAC layer optimization for WiMax. Key projects include: RFSounding : Interactive installation converting radio frequencies to audible sound Homeland Security : Wireless perimeter monitoring systems SMILING : Home automation sensor technologies VISION : 3D video sensing with UWB radios She has taught Signal Analysis , Wireless Communications , and Electrical Communications , and contributed to book chapters in Technological Innovation and Springer Verlag publications.

Marco Grangettoمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Artificial Intelligence
• +۵ مورد دیگر

Marco Grangetto serves as Full Professor in the Department of Computer Science at the University of Turin, coordinating research in image processing and computer vision. His expertise spans wavelets, image/video coding, data compression, error resilient video coding, and biomedical image processing, with significant contributions to ISO JPEG2000 standardization and editorial roles in IEEE Transactions on Multimedia. His educational background includes a PhD in Electrical and Communications Engineering (2003) and MSc in Telecommunications Engineering (1999), both from Politecnico di Torino. His research integrates Artificial Intelligence and Deep Learning with medical imaging and fundamental compression theory , producing innovations in neural network pruning, capsule networks, and entropy-based models. Recent work focuses on Covid-19 diagnosis from chest X-rays and efficient 3D scene modeling. His publication trends reveal dual trajectories: applied medical AI (Covid-19 diagnostics, lung cancer segmentation) and theoretical advances (learned compression, contrastive learning, bias mitigation). This bridges clinical validation with information-theoretic foundations, particularly in resource-constrained environments. Scientific recognition includes: Premio Optime by Unione Industriale di Torino (2000) Fulbright Grant for research at UC San Diego (2001) He maintains leadership through IEEE editorial positions, ISO standardization participation, and MPAI membership. His research group develops medical datasets (UniToChest, UniToPatho) while advancing neural network efficiency for clinical deployment. Current projects focus on entropy minimization techniques and unbiased representation learning for healthcare applications.

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

Simone Bianco is an Associate Professor at the Department of Informatics, Systems and Communication (DISCo) of the University of Milano-Bicocca, Italy. His academic and research contributions span computer vision, artificial intelligence, machine learning, and optimization algorithms applied to multimodal and multimedia systems. His educational background includes a PhD in Computer Science (2010) and BSc/MSc degrees in Mathematics (2003/2006), both from the University of Milano-Bicocca. Bianco’s research focuses on color constancy, deep learning for video restoration, neural architecture search, and computational color imaging, with a strong emphasis on practical applications like biometric recognition, medical imaging, and environmental monitoring. The 15 most recent articles (2025–2020) highlight trends in computer vision, including uncertainty estimation in color constancy, portable material appearance modeling, temporal consistency in low-light videos, and advanced deep learning architectures for image and video processing. His work often integrates photogrammetry, sensor technology, and multimodal data analysis. Scientific accolades include recognition on Stanford University’s World Ranking Scientists List for achievements in artificial intelligence and image processing. Bianco also serves as R&D Manager for the University of Milano-Bicocca spin-off Imaging and Vision Solutions and contributes to international conferences and workshops.

• Computer Vision
• Machine Learning
• Egocentric Vision
• +۴ مورد دیگر

Antonino Furnari is a tenure-track Assistant Professor at the University of Catania's Department of Mathematics and Computer Science. He is affiliated with the Image Processing Laboratory (IPLAB) and co-leads the LIVE research group. His research focuses on intelligent systems that perceive and anticipate human actions through egocentric vision, enabling assistive technologies for wearable devices. He teaches courses on Computer Programming (Bachelor) and Fundamentals of Data Analysis (Master's), having supervised over 30 theses and 8 PhD students. Key research interests include egocentric vision, action anticipation, human-object interaction analysis, and wearable systems. His work spans datasets like EPIC-KITCHENS and MECCANO, advancing domain adaptation, mistake detection, and procedural activity understanding. Recent contributions include developing methods for unsupervised mistake detection using gaze signals, differentiable task graph learning for procedural activities, and attention-based models for short-term interaction anticipation. He has been recognized with an Italian Habilitation to Full Professor (ASN) in 2025 and serves as an Associate Editor for TPAMI and publicity co-chair for ICCV 2025. He actively participates in organizing workshops such as the Joint Workshop on Egocentric Vision (EgoVis) and presents at top venues like CVPR, ECCV, and NeurIPS. His research bridges computer vision, machine learning, and assistive technologies, with applications in healthcare, industrial settings, and cultural heritage.

Luca Queirolo Palmasمشاهده پروفایل

دانشیار

• Sociology of Migration
• Visual Sociology
• Border Studies
• +۵ مورد دیگر

Luca Queirolo Palmas is an Associate Professor in Sociology of Cultural and Media Processes at the University of Genoa, Italy, within the Department of Educational Sciences (School of Social Sciences). He co-directs Mondi Migranti , a journal focusing on international migration studies. His research centers on migration, borders, visual sociology, and youth cultures, with a focus on Mediterranean routes and solidarity networks. He has held visiting roles at institutions in Barcelona, Quito, New York, and Tunis. Research Interests: - Migration policies and border control mechanisms in Europe and North Africa - Visual ethnography methodologies - Solidarity networks among migrants and grassroots movements - Youth cultures and gang dynamics in transnational contexts His recent work analyzes migrant routes through ethnographic fieldwork, examining how borders shape migrant agency and solidarity. Notable projects include ERANET-TRANSGANG on youth gangs and collaborations with French and Tunisian institutions. His articles explore themes like the 'Calais Jungle' aftermath, Italian-French border dynamics, and migrant agency in Ceuta/Melilla. Grants & Collaborations: - Scientific advisor to ERC-funded TRANSGANG (2016–present) - Associate member of CNRS’ Équipe Monde Arabe et Méditerranée (since 2020) - Co-tutored PhD projects on Sudanese migration and Tunisian gender studies Labs/Teams: - Co-founder of the Visual Sociology Laboratory (2007), using film/video for participatory research - Collaborates with NGOs and academic networks on Mediterranean migration studies

Gian Luca Marcialisمشاهده پروفایل

دانشیار

• Biometrics
• Presentation Attack Detection
• Facial Recognition
• +۴ مورد دیگر

Gian Luca Marcialis is an Associate Professor at the University of Cagliari, leading the Biometric Unit of the Pattern Recognition and Applications Laboratory (PRA Lab) within the Department of Electrical and Electronic Engineering. He holds an M.S. and Ph.D. in Electronic Engineering and Computer Science from the University of Cagliari (2000 and 2004). His research focuses on biometric security, including fingerprint presentation attack detection, facial deepfake detection, and crowd anomaly analysis. Key areas include multimodal biometric systems, liveness detection in authentication, and the ethical implications of AI in forensics. Marzialis has contributed to initiatives like the LivDet competitions and BullyBuster project against cyberbullying. His work integrates machine learning with real-world applications in surveillance, healthcare, and public safety, emphasizing both technical innovation and societal impact.

Raffaella Bernardiمشاهده پروفایل

دانشیار

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۶ مورد دیگر

Raffaella Bernardi is an Associate Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science (DISI) and the Center for Mind/Brain Science (CIMeC). She holds a PhD in Logic and Language from Utrecht University (2002) and has held academic positions at the Free University of Bozen-Bolzano and the University of Trento. Her research focuses on computational linguistics, formal semantics, distributional semantics, and multimodal models, with a particular emphasis on integrating vision and language systems. Education: PhD in Logic and Type Theory (2002, Utrecht University), Master's in Philosophy (1994, University of Chieti), and High School Diploma (1990). Research Interests: Natural Language Processing, Categorial Type Logic, Compositional Distributional Semantics, Visual Dialogues, and Multimodal Reasoning. She has pioneered work on grounding language in visual contexts and has contributed to key projects like the ERC-funded COMPOSES initiative. Grants & Leadership: Principal Investigator on EU projects (e.g., CACAO, Galateas) and member of the ERC COMPOSES team. She chairs conferences like ACL and EMNLP and serves on editorial boards for journals like the Journal of Logic, Language, and Information. Labs: Leads the LaVi (Language and Vision) research group and collaborates with the CLIC Lab. Active in organizing workshops on Formal Grammar and Vision-Language Integration.

• Big data
• Data science
• Data analytics
• +۱۲ مورد دیگر

Paolo Garza is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he also serves as Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the DBDM research group and the SmartData@PoliTO laboratory, and actively contributes to academic governance through roles in teaching coordination and PhD program committees. Education: Bachelor’s in Computer Engineering, Polytechnic University of Turin (2001) PhD in Computer and Systems Engineering, Polytechnic University of Turin (2005) His research centers on data science, big data analytics, data mining, and machine learning , with applications in emergency management, real-time communications, Earth observation, and cybersecurity. He has led and participated in numerous national and commercial research projects, including AI4CTI and NODES (PNRR), and has collaborated with industry partners like Cisco Systems. His work bridges theoretical algorithm development and practical deployment in critical systems. The recent publications reflect a strong trend toward multimodal AI, crisis informatics, and intelligent networking . Articles span computer vision for environmental monitoring (e.g., burned area detection, canopy estimation), ML for real-time communication quality, multimodal document understanding, and crisis response systems. His team leverages deep learning, transformers, and vision-language models across diverse domains. Scientific Service: Associate Editor, Knowledge and Information Systems (2024–) Associate Editor, Expert Systems with Applications (2022–) General Co-Chair, IEEE AICT Conferences (2022, 2023) He mentors several PhD students and leads funded research initiatives focused on AI for sustainable industry and cyber threat intelligence. His teaching includes graduate courses on big data processing, distributed architectures, and data science lab methods. He has also directed commercial training programs and research contracts in machine learning and cybersecurity. Research Labs & Teams: DBDM - Database and Data Mining Group (DAUIN) SmartData@PoliTO - Big Data and Data Science Laboratory LAB 5 - Research Laboratory (DAUIN)

• Computer Science
• Artificial Intelligence
• Reinforcement Learning
• +۶ مورد دیگر

Eric Eaton is a prominent researcher in Computer Science, specializing in Artificial Intelligence, Reinforcement Learning, and Federated Learning. His work bridges theoretical advancements with practical applications in healthcare, robotics, and educational technology, as evidenced by his collaborations with institutions like the Vector Institute and co-authors such as Marcel Hussing and Amir-massoud Farahmand. Research Focus: Lifelong Learning, Object-Centric Representation, and Algorithmic Fairness Key Contributions: ELLA algorithm, Distributed Continual Learning frameworks, and AI integration in surgical video analysis His recent publications address critical challenges in high update ratio reinforcement learning, federated learning for surgical data, and ethical considerations in algorithmic fairness. These works highlight his interdisciplinary approach, combining AI with healthcare and education. Eaton's leadership in projects like FORLA and Slot-BERT demonstrates innovation in unsupervised learning and temporal coherence. His involvement in the CS2023 curriculum design underscores his commitment to advancing computer science education.

• 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.

• Digital Signal Processing
• Image Processing
• Multimedia Communications
• +۳ مورد دیگر

Marco Carli is a Full Professor at the Department of Industrial, Electronic, and Mechanical Engineering, Roma Tre University, Italy. He holds a Laurea in Telecommunication Engineering from Università degli Studi di Roma 'La Sapienza' and a Ph.D. from Tampere University of Technology. His research focuses on digital signal and image processing applied to multimedia communications, including digital watermarking, multimedia quality evaluation, and information security. He has led projects such as EHEM (medieval architecture modeling), ISEEYOO (AI-based anomaly detection), and INSECTT (secure IoT-AI systems). Carli serves as an Associate Editor for IEEE Transactions on Image Processing and Area Editor for Signal Processing: Image Communication. He is an IEEE Senior Member. His work spans over 55 journal publications and numerous conferences, addressing topics like immersive VR applications, cybersecurity, and perceptual quality metrics. Education: Laurea in Telecommunication Engineering, Università di Roma 'La Sapienza', 1990s Ph.D. in Telecommunication Engineering, Tampere University of Technology, Finland Projects: EHEM: Digital modeling of medieval architecture and art ISEEYOO: Anomaly detection in Cyber-Physical Systems INSECTT: Secure IoT systems with AI Research Interests: Signal/image processing for multimedia Quality evaluation and watermarking Cybersecurity and IoT applications Awards: None explicitly listed Grants/Advising: Multiple EU-funded projects (e.g., ImmerSAFE, RESISTO, ATENA) and collaborations with industry partners like Thales Alenia Space.

Francesco Ragusaمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Pattern Recognition
• Machine Learning
• +۵ مورد دیگر

Francesco Ragusa is a Research Fellow at the University of Catania, Italy, holding an Industrial Doctorate in Computer Science (2021). He spent part of his PhD at the University of Hertfordshire, UK. His work focuses on First Person (Egocentric) Vision, including Human-Object Interaction, Industrial Applications, and Augmented Reality. He co-founded NEXT VISION s.r.l., an academic spin-off from the University of Catania since 2021. Key projects include the MECCANO dataset for industrial human-object interactions and the EGO-EXO4D initiative analyzing skilled human activity from multi-perspective views. Research interests span Computer Vision, Pattern Recognition, and Machine Learning. He contributed to seminal datasets like MECCANO and ENIGMA-51, advancing understanding of human behavior in industrial settings. His work emphasizes practical applications, such as wearable assistive systems and visual navigation solutions. Ragusa has delivered tutorials at major conferences (e.g., ICIAP, VISIGRAPP) on First Person Vision’s history, challenges, and trends. He actively promotes industrial collaborations and has secured grants including PNRR MUR (Code E63C22001940006) and EU funding under Next Generation EU. His teaching and professional activities include organizing workshops on egocentric vision for AI-driven assistants and industrial safety systems. Current research directions involve multimodal synthetic data utilization, gaze-based interaction analysis, and cross-modal fusion for human-robot collaboration.

Massimo Orazio Spataمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Biomedical Engineering
• Computer Science
• +۳ مورد دیگر

Massimo Orazio Spata is a Research Fellow in Computer Science at the University of Catania's Department of Mathematics and Computer Sciences, specializing in deep learning applications for biomedical, audio, and biometric systems. He has held roles at STMicroelectronics since 1999, focusing on system integration, image processing, and biomedical device R&D. He teaches courses such as Mobile Programming and Computer Architecture at secondary schools and has advised numerous students on grid computing and middleware projects. Education: PhD in Computer Science (University of Catania, 2008), MSc in Computer Science (University of Catania, 2013), and a teaching certification in Computer Science (University of Catania, 1998). Research interests include deep learning algorithms, biomedical device development, grid scheduling, and cybersecurity. He has authored patents on lab-on-chip systems, bio-computer analysis, and scheduling methods, and his work has been recognized with STMicroelectronics Innovation Awards (2016–2014) and a Cisco CCNA certification. Key collaborations include projects with Google (Mediapipe Objectron for robotics), Huawei (video deblurring), and involvement in the PNRR Horizon HiCONNECTS project (2024–present). He serves on conference committees (e.g., ICAETA 2023) and has developed e-learning systems and CAD tools for STMicroelectronics.