جست‌وجوی استاد و پژوهشگر

Diane Lingrandمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Autonomous Driving
• +۹ مورد دیگر

Diane Lingrand is a Researcher at Université Côte d'Azur , affiliated with the SPARKS team at Laboratoire I3S (UMR 7271 UNS/CNRS) and the Département Sciences Informatiques at Polytech'Nice-Sophia. She teaches Deep Learning and Computer Vision courses at the engineering school and master's level. Primary Research Areas Machine Learning & Computer Vision Archeological charcoal identification (ANR AIWOOD) Autonomous driving (ANR Multitrans) Biodiversity preservation (Mediterranean marine life, Mercantour park wildlife) Eye tracking with uncertain data (ANR VISIIR) 3D objects description & recognition (Digiart project) Former Research Topics Context-aware computing 3D interactions Image segmentation tutorials Cardiac imaging Computer vision singularities for motion & calibration

Gudrun Klinkerمشاهده پروفایل

استاد

• Computer Vision
• Visualization
• Computer Graphics
• +۳ مورد دیگر

Prof. Gudrun Klinker is a distinguished academic in computer science, affiliated with the Technical University of Munich since 2000. Her career spans roles at Digital Equipment Corporation's Cambridge Research Lab (1989), European Computer-industry Research Center, and Fraunhofer Institute for Computer Graphics, focusing on augmented reality and ubiquitous computing for industrial applications. Education: Friedrich-Alexander Universität Erlangen (Computer Science) Universität Hamburg (Diplom in Computer Science) Carnegie-Mellon University (Ph.D., physical approach to color computer vision) Her research interests bridge computer vision , visualization , and augmented reality , with emphasis on real-world industrial applications. She co-founded the International Symposium on Mixed and Augmented Reality (ISMAR) and has contributed to over 100 reviewed publications. Prof. Klinker has served on program committees for premier conferences including VR , VRST , 3DUI , and UIST . No specific scientific awards or student advisement records are detailed in the provided text.

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.

• 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.

• Computer graphics
• Multimedia
• Data science
• +۴ مورد دیگر

Stefano Calzolari is a Ph.D. candidate in Computer and Systems Engineering at the Department of Control and Computer Engineering (DAUIN), Polytechnic University of Turin. He is also an external lecturer and teaching assistant at DAUIN, contributing to courses such as Game Design and Gamification, Computer Science, and Aerospace Engineering. Education MSc in Cinema and Media Engineering (LM-32), Polytechnic University of Turin (2023) PhD in Computer and Systems Engineering (2023–present) Stefano's research focuses on Embodied Conversational Agents (ECAs) for Extended Reality (AR/VR) applications. His work integrates animation techniques (Motion Matching and Inverse Kinematics), emotion modeling (PAD and Circumplex models), speech technologies (STT/TTS), and AI-based behavior planning (FSM, BT, GOAP, and LLMs). The goal is to enhance user believability through UX questionnaires and interaction data analysis. Research Groups Computer Graphics & Vision Group (CG&VG) Teaching Contributions Master's Degree Course in Game Design and Gamification (2024/25) Bachelor's Degree Course in Computer Science (2025/26 and 2024/25) for Aerospace Engineering

• Robotics
• Control Systems
• Machine Learning
• +۷ مورد دیگر

Matteo Saveriano is an Associate Professor at the University of Trento , affiliated with both the Department of Industrial Engineering and the Department of Information Engineering and Computer Science . His work focuses on Robotics , Control Systems , and Machine Learning , with applications in robotic manipulation, locomotion, and human-robot interaction. Email: matteo.saveriano@unitn.it Research interests include antifragile control systems, dynamic movement primitives, reinforcement learning, biomechanical characterisation, and motion planning on discrete manifolds. His teaching covers Automatic Control and Robotics , with a hybrid theoretical-practical approach using Python simulations. Recent publications explore topics such as neuro-symbolic robotics, radiation effects on embedded GPUs, surface defect identification with Bayesian filtering, and reactive navigation using control barrier functions. These works highlight interdisciplinary trends at the intersection of robotics , machine learning , and control theory .

• Medical Imaging
• Computer Vision
• Image Processing
• +۳ مورد دیگر

Costantino Grana is a Full Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, where he teaches Multimedia Data Processing and Fundamentals of Computer Science . His research bridges medical imaging, computer vision, and image processing, with applications ranging from healthcare (nephrology, dermoscopy) to digital preservation of cultural heritage. His core research interests include: Algorithms for connected components and medical image segmentation Content-based search systems for images/videos Deep learning applications in diagnostic imaging 3D reconstruction and analysis of medical/cultural artifacts Recent publications (2025) focus on medical image segmentation, real-time barcode detection, and diagnostic AI models, demonstrating strong emphasis on deep learning innovations for healthcare. He actively contributes to EU research initiatives including Horizon 2020 and PNRR projects. Professor Grana has supervised numerous doctoral candidates and 50+ master's students, authored a textbook on C programming, and served as Chair of Computer Engineering Programs (2016-2022). He maintains memberships in IEEE, ACM, and IAPR.

• Computer Vision
• Human-Computer Interaction
• IoT
• +۶ مورد دیگر

Roberto Vezzani is an Associate Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, specializing in information processing systems (ING-INF/05). Previously Director of the Artificial Intelligence Research and Innovation Center (2018-2021), he holds a PhD in Information Engineering from the same institution. As senior member of AimageLab, he coordinates research on human-computer interaction using multi-sensor systems. His research spans: Computer vision for IoT and video surveillance Motion detection and action classification 3D vision with depth/thermal/event cameras Sensor fusion and automatic video annotation He leads competitive projects funded by Toyota, Ferrari, and EU programs, focusing on industrial applications of computer vision. Recent publications (2024-2025) demonstrate strong focus on 3D pose estimation, robot perception, and efficient embedded vision systems, with applications in automotive, robotics, and UAVs. Awards include: Best Paper - ICPR 2020 (IAPR) Best Paper - VISAPP 2020 Best Paper - THEMIS'2008 Industrial collaborations feature multi-year projects with Ferrari (RedVision lab), Toyota Europe, and Tetra Pak. Teaching includes courses on Computer Architecture, IoT systems, and industrial AI.