جست‌وجوی استاد و پژوهشگر

Roberto Marmoمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Social Media Mining
• +۴ مورد دیگر

Roberto Marmo is a Professor of Computer Science at the University of Pavia since the 2022/23 academic year. His research spans multiple domains including Artificial Intelligence , Computer Vision , and Social Media Mining . He earned his PhD in Information Engineering at Pavia's Computer Vision and Multimedia Lab after completing a Computer Science degree at the University of Salerno. Core Expertise: Data Science, AI Algorithms, Scientific Visualization Industry Applications: Anti-fraud Systems, Tourism Analytics, Transportation Sign Recognition His academic work demonstrates consistent interdisciplinary innovation: 2020: Encyclopedia contributions on Cybersecurity and Social Engineering 2017: Market analysis through social media mining 2010: Social network architecture research Key collaborations include: IBM's Web 2.0 Security Encyclopedia Italian Tourist Railways Association (application of IT to heritage tourism) Academic-Industry Partnerships in transportation sign recognition His technical contributions include: Neural network applications in geological analysis Operational risk visualization frameworks SOS gesture recognition systems e-learning performance dashboards Available for consulting and training services in AI, data analysis, and scientific visualization.

• Electronics
• Semiconductor Devices
• Device Modeling
• +۱۳ مورد دیگر

Paolo Ciampolini is a full Professor in the Department of Engineering and Architecture at the University of Parma, Italy. He has been a permanent faculty member since 2001 and previously held academic positions at the University of Perugia and the University of Bologna. He is actively involved in teaching, research, and international collaboration, particularly in electronics, digital design, and ICT for health. He serves as the European Coordinator of the ERASMUS+ GREATER project and is a visiting professor at INES-Ruhengeri in Rwanda. Research Interests: Development of semiconductor device models and simulation tools High-frequency circuits and signal integrity in ICs Radiation-hardened circuits for high-energy physics (collaboration with CERN and INFN) Assistive technologies and IoT for Active and Assisted Living Non-invasive monitoring using sensor networks and machine learning Low-power and VLSI digital design His recent publications focus on sleep posture classification using accelerometer and vision-based CNN systems, contactless sleep monitoring with smart beds, and machine learning for heartbeat detection from ballistocardiographic signals. These works highlight a strong trend toward applying electronics and AI to healthcare challenges, particularly for elderly and disabled individuals. Scientific Leadership and Projects: Scientific Coordinator: FOOD (AAL-JP, EU, 2011–2013) Scientific Coordinator: HELICOPTER (AAL-JP, EU, 2013–2016) European Coordinator: NOAH (AAL-JP, EU, 2016–2019) Participant: ACTIVAGE (H2020 IoT-LSP, EU, 2017–2021) European Coordinator: GREATER (ERASMUS+, 2024–present) Member: Advisory Board of several European projects Board of Directors: CLUSTER Health (Emilia Romagna regional health innovation network) Teaching and Academic Service: Current courses: Electronics 1, VLSI Digital Design, ICT for Health and Well-being Previously taught: Logic Design, Computer Architecture, Analog Circuits, Microelectronics, Semiconductor Physics Chairman of the Board of Electronics, University of Parma (2001–2010) President, Collaboration Center on Assistive Technologies (Centro TAU) Labs and Research Groups: His work is conducted within the research infrastructure of the Department of Engineering and Architecture at the University of Parma, with strong ties to the Centro TAU and collaborations with INFN and CERN. His current research integrates sensor design, IoT networking, and data analytics in health-focused applications.

Monica Mordoniniمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Autonomous Systems
• Computer Vision
• +۱۳ مورد دیگر

Monica Mordonini is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering, University of Parma, where she has been a faculty member since 1999. She teaches courses across multiple programs including Computer Engineering, Engineering Management, Civil and Environmental Engineering, and Law, with a focus on Artificial Intelligence, Software Engineering, and Information Systems. Her research interests lie primarily in Artificial Intelligence , with emphasis on visual sensors, unconventional vision algorithms for autonomous systems, and applications in video surveillance. More recently, her work extends to information extraction from distributed multimedia databases, semantic web applications, and ontology design for smart environments. She is actively involved in interdisciplinary research, particularly in healthcare technology, including patient tracking and operating room optimization using IoT and digital twin technologies. The most recent publications reflect a strong trend toward applied AI in healthcare and intelligent systems. Her work integrates computer vision, real-time data processing, and system modeling to improve clinical workflows and service delivery. Themes such as digital twins, location-based services, and simulation-based optimization are central to her current research trajectory. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no explicit information about PhD or Master’s students she has advised. Similarly, no grants or funded projects are detailed in the text, though her collaborative publications suggest involvement in research initiatives, particularly in healthcare and intelligent systems. Labs and Research Teams: While specific lab affiliations are not mentioned, Monica Mordonini collaborates extensively with researchers in healthcare, engineering, and computer science, particularly in projects involving patient tracking, operating room systems, and digital libraries. Her work appears to be conducted within interdisciplinary teams at the University of Parma, likely connected to intelligent systems and applied AI laboratories.

Andrea Stoccoمشاهده پروفایل

استادیار

• Software Testing
• Deep Learning
• Autonomous Driving Systems
• +۴ مورد دیگر

Andrea Stocco is an Assistant Professor at the Technical University of Munich (TUM) within the Chair of Software Engineering for Data-Intensive Applications and the School of Computation, Information and Technology , while also serving as Head of the Automated Software Testing Field of Competence at fortiss GmbH in Munich. His research bridges software engineering and deep learning, focusing on enhancing the robustness, reliability, and dependability of data-intensive systems, particularly in autonomous driving and web applications. Key research areas: Testing AI-based systems, autonomous driving validation, computer vision for software engineering, web test automation, and reliability of DL systems Notable awards: IEEE Computer Society TCSE Distinguished Paper Award (2025), ACM SIGSOFT Distinguished Artifact Award (2020), Best Presentation Award at NEXTA 2021 Leadership roles: Program Chair for ASE 2024 (Research Track), ICSE 2024 (Demonstration Track), and SCAM 2024 (Research Track) Editorial involvement: Empirical Software Engineering journal (2025), Journal of Software: Evolution and Process (2024), ACM TOSEM Replicated Computational Results Distinguished Reviewers Board His work explores techniques like anomaly detection, uncertainty quantification, and attention maps to improve safety-critical systems' testing. Recent publications examine digital twins for autonomous driving, generative AI in test input generation, and the reality gap between virtual and physical testing environments. Andrea actively contributes to conference program committees in software engineering and testing, including ASE, ICSE, FSE, and ICST.

• Industrial Engineering
• Operations Management
• Sustainable Supply Chain Management
• +۳ مورد دیگر

Prof. Federico Solari is a fixed-term researcher at the Department of Industrial Systems and Technologies Engineering (DISTI) at the University of Parma. He teaches courses including Food Industry Systems (Second Cycle Degree in Engineering for the Food Industry) and Mechanical Plant and Equipment (First Cycle Degree in Mechanical Engineering). Academic Appointments: Second Cycle Degree (2021–2025), First Cycle Degree (2019–2023) Research Focus: IoT applications in agriculture, sustainable logistics, computer vision for food quality, and inventory management for perishable goods His recent publications address trends in innovative teaching methodologies, smart agricultural systems, post-COVID supply chain sustainability, and optimization of reordering policies using advanced statistical techniques. He collaborates with researchers like Eleonora Bottani and Giovanni Romagnoli on food industry systems.

Filippo Bergamascoمشاهده پروفایل

دانشیار

• Computer Vision
• Oceanography
• Image Processing
• +۳ مورد دیگر

Filippo Bergamasco is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He is a member of the Scientific Committee of the Center for Studies on Port Economics and Management (DAIS). His work bridges computer vision, environmental monitoring, and oceanography, with a focus on developing advanced imaging techniques for ocean wave analysis and stereo reconstruction. He leads projects like the WASS pipeline, an open-source tool for 3D stereo reconstruction of ocean waves, and collaborates on studies involving rogue wave dynamics, low-cost sensors, and Arctic sea-state analysis. His research leverages machine learning, deep learning, and real-time systems to address challenges in environmental and marine sciences. Research interests include computer vision applications in oceanography, stereo imaging systems, wave dynamics modeling, and environmental monitoring technologies. He has contributed to over 80 peer-reviewed publications, with recent works focusing on real-time wave tracking, 3D reconstruction, and the integration of physics-driven models with neural networks. His expertise spans interdisciplinary collaborations, including projects on fish oil's impact on wind waves and the development of robust camera calibration methods. He actively publishes in top journals like IEEE Transactions on Image Processing, Ocean Modelling, and Physical Review Letters, and engages in international conferences such as ECCV and ICPRAM.

Flavio SARTORETTOمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Science
• Medical Signal Processing
• +۴ مورد دیگر

Flavio SARTORETTO is an Associate Professor in Scientific Computing at Ca' Foscari University of Venice. He holds a Mathematics degree from the University of Padua and has held academic positions at University of Padua (1982-1992) and Sapienza University of Rome (1992-1993) before joining Ca' Foscari in 1993. His research focuses on numerical analysis, computational methods, and interdisciplinary applications including environmental modeling, cognitive processes, and assistive technologies. Key research areas include numerical solutions of PDEs, meshless methods, EEG signal analysis, and e-learning tools for impaired individuals. He has participated in major research projects such as EC Network (1992-1995), PRIN initiatives (1997-2010), and contributed to software development for geomechanical models and air quality systems. His work spans computational fluid dynamics, robotics applications, and cognitive studies. Recent publications highlight advancements in mesh refinement strategies, robotic assistive devices, and spatial cognition research. He has reviewed for prestigious journals and served in academic committees for state examinations and international conferences. He maintains active involvement in academic service, including roles in evaluation committees and contributions to professional societies like SIAM and CICAP.

• Biometrics
• Fingerprint Recognition
• Security Systems
• +۳ مورد دیگر

Raffaele Cappelli is an Associate Professor at the Department of Computer Science and Engineering, University of Bologna. His research focuses on fingerprint biometrics, emphasizing anti-spoofing, segmentation, and synthetic data generation. He contributes to the Fingerprint Verification Competition (FVC) and has pioneered tools like SFinGe for synthetic fingerprint databases. His work addresses security vulnerabilities in biometric systems and forensic applications. Education and affiliations include roles at the University of Bologna, with expertise in computer science and engineering. His research integrates machine learning, pattern recognition, and hardware acceleration to enhance biometric system performance and reliability. Key areas of study include presentation attack detection, fingerprint orientation estimation, and large-scale database management. He has authored over 70 publications, with notable contributions to forensic science and secure authentication protocols.

Leonardo Impettمشاهده پروفایل

استادیار

• Digital Humanities
• Computational Humanities
• Computer Vision
• +۶ مورد دیگر

Leonardo Impett serves as Assistant Professor in Digital Humanities at the University of Cambridge's Faculty of English and Bye-Fellow in Digital Humanities at Selwyn College, Cambridge. He also leads a research group at the Bibliotheca Hertziana. Previously, he was Assistant Professor of Computer Science at Durham University and Digital Humanities Scientist at the Bibliotheca Hertziana - Max Planck Institute for Art History in Rome. His research uniquely bridges artificial intelligence and art history, focusing specifically on bias and visual ideology in AI systems from an art historical perspective. With a background in information engineering and machine learning, he combines technical expertise with deep humanities knowledge to develop novel approaches for analyzing visual culture through computational methods. His recent publications reveal a strong trend toward interdisciplinary work connecting computer vision with art historical analysis, particularly examining how AI systems interpret and potentially bias visual cultural heritage. His research spans technical AI development, art historical analysis, and critical examination of digital methodologies in cultural institutions. Digital Humanities Fellow at Villa I Tatti – Harvard University Center for Italian Renaissance Studies (2018) Scientific Assistant/Scientist at Bibliotheca Hertziana (2018-2020) PhD in Computer Vision for Art History at EPFL Impett actively collaborates with major cultural institutions including the Liverpool Biennial, Royal Opera House, and Whitney Museum of American Art, applying machine learning to practical challenges in arts and culture. His work demonstrates how technical AI research can be meaningfully integrated with humanities scholarship to produce insights valuable to both domains.

Manuela Chessaمشاهده پروفایل

دانشیار

• Virtual Reality
• Augmented Reality
• Extended Reality
• +۶ مورد دیگر

Manuela Chessa is an Associate Professor in Computer Science at DIBRIS (Department of Informatics, Bioengineering, Robotics, and Systems Engineering) within the Interschool Section of Mathematical, Physical, and Natural Sciences at the University of Genoa. Her research focuses on natural human-machine interfaces using virtual, augmented, and extended reality (XR) systems, with an emphasis on perceptual and cognitive aspects of immersive interaction. MSc in Bioengineering (2005) and PhD in Bioengineering (2009) from University of Genoa Her work integrates bioinspired models with modern XR technologies to address misperception issues, visual stress, and fatigue in immersive environments. She investigates the use of sensing (Kinect, RealSense, ZED) and visualization devices (HMDs, 3D monitors) to create ecological interaction systems grounded in human perception principles. Current research themes include: XR for rehabilitation and training User Experience (UX) in immersive systems 3D reconstruction techniques Self-avatar representation Change detection in virtual environments Her publications span topics like gamified coding in XR, cognitive aspects of interaction, and bioinspired VR design. She leads the Perception & Interaction Lab @ DIBRIS, supervising 4 PhD students and 1 research associate.

• Mathematical Analysis
• Differential Geometry
• Geodesic Theory
• +۴ مورد دیگر

Rossella Bartolo is an Associate Professor in Mathematical Analysis (MAT/05) at the Department of Mechanics, Mathematics & Management at Polytechnic of Bari, Italy. Her academic work focuses on differential geometry, mathematical physics, and nonlinear analysis, with particular expertise in geodesics, spacetime geometry, and Lorentzian manifolds. Dr. Bartolo's research interests span several interconnected areas of mathematical analysis and geometry: Geometric Analysis : Focusing on geodesics and trajectories in Lorentzian and Riemannian manifolds, with applications to general relativity Nonlinear Analysis : Specializing in asymptotically linear problems, superposition operators, and variational methods for differential equations Mathematical Physics : Exploring connections between differential geometry and physical phenomena, particularly in spacetime structures Control Theory : Recent work extends into applications for robotics and autonomous systems, particularly with UAVs Her publication record shows a strong trajectory from purely theoretical mathematical work toward increasingly applied research, with recent papers focusing on applications for robotics and unmanned aerial vehicles. The majority of her work centers around differential geometry and nonlinear analysis, with a particular emphasis on geodesic structures and spacetime geometry. Dr. Bartolo has maintained a consistent publication record since the late 1990s, demonstrating expertise in connecting geometric structures with physical phenomena. Her work bridges pure mathematics with theoretical physics and, more recently, with practical applications in robotics and autonomous systems.

• Embedded Systems
• Fault Tolerance
• Precision Agriculture
• +۵ مورد دیگر

Maurizio Rebaudengo is a Full Professor at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and holds expertise in embedded systems, fault tolerance, and sensor network applications. Research Interests: Embedded systems, fault tolerance, precision agriculture, RFID technology, wireless sensor networks, and system dependability Scientific Awards: Ramamoorthy Best Paper Award (1997) Leadership Roles: Program Chair for the 4th International EURASIP Workshop on RFID, Committee Member for Public Administration Agreements (2020-2024) Projects: Scientific Director for HONEY (Hybrid ONline tEchnologY for particle therapy), FDM (Food Digital Monitoring), IDEM (Internet of Data for Environmental Monitoring), and OPLON (Healthy Longevity Opportunities). Teaching: Course lecturer for Electronic Calculators, Computer Science, Systems Programming, and Cybersecurity at both undergraduate and postgraduate levels. His work spans IoT applications in agriculture and healthcare, focusing on low-cost sensor networks , RFID-based traceability , and cyber-physical system resilience . Recent publications emphasize particulate matter monitoring and secure communication protocols in wireless environments.

• Augmented Reality
• Computational Geometry
• Computer Vision and Pattern Recognition
• +۱۲ مورد دیگر

Andrea Bottino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin. He has been actively involved in the Computer Graphics and Vision Group and leads various VR@POLITO initiatives. Chair of the Master HUMANAIZE program Coordinator of multiple Machine Learning for Vision and Multimedia courses Research Focus : Augmented and Virtual Reality for education and safety Computer Vision with applications to medical imaging and kinship analysis Human-Computer Interaction in immersive environments Multimodal Learning systems XR for Cultural Heritage Publication Trends : Recent works focus on AI applications , XR training systems , and computer vision techniques applied to medical diagnostics and cultural preservation . Leadership Roles : Scientific Director for MEI - Interactive Egyptian Museum Coordinator of PNRR Mission 4 projects Principal Investigator for Holo-BLSD and ALPTECH initiatives Labs and Collaborations : Active in Visionary LAB and VR@POLITO Collaborates with Balletto Teatro di Torino for cultural XR applications Partners with Fondazione Museo Egizio and Robin Studio

• Computer vision and pattern recognition
• Digital image processing
• Medical image processing
• +۴ مورد دیگر

Santa Di Cataldo is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on computer vision, pattern recognition, digital image processing, and medical image processing, with applications in industrial systems and AI for manufacturing. Scientific Branch: IINF-05/A - Information Processing Systems ERC Sectors: PE6_8 - Computer graphics, computer vision, multi media, computer games ERC Sectors: PE6_11 - Machine learning, statistical data processing His work includes developing AI-driven anomaly detection frameworks, physics-informed neural networks for additive manufacturing optimization, and neuro-symbolic approaches for Industry 4.0 applications. He supervises PhD students in Artificial Intelligence and Computer Engineering programs, collaborating on projects like BIG (Blue Is Green) and PNRR-Complementary Plan. Premio Donna Innovazione (2010) He leads courses such as Machine Learning in Applications and Applied AI and Machine Learning , while contributing to bioinformatics and robotics-related teaching. His research is supported by IAM@PoliTo and EDA groups, utilizing LADISPE laboratory facilities.

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.