جست‌وجوی استاد و پژوهشگر

Dieter Schmalstiegمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +۲ مورد دیگر

Dieter Schmalstieg is a full professor and head of the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. His research focuses on augmented reality, virtual reality, computer graphics, visualization, and human-computer interaction. He earned Dipl.-Ing. (1993), Dr. techn. (1997), and Habilitation (2001) degrees from Vienna University of Technology. Over 400 peer-reviewed publications with 20,000+ citations Twenty+ best paper awards and nominations His research areas include: Augmented and Virtual Reality Computer Graphics Interactive Visualization Organizational roles: Associate Editor-in-Chief, IEEE Transactions on Visualization and Computer Graphics Associate Editor, Frontiers in Robotics and AI Member, IEEE International Symposium on Mixed and Augmented Reality steering committee Chair, EUROGRAPHICS Working Group on Virtual Environments (1999–2010) Key affiliations: K-Plus Competence Center for Virtual Reality and Visualization (Vienna) Know-Center (Graz) Founder, Christian Doppler Laboratory for Handheld Augmented Reality (2008) Scientific honors: START Career Award (2002) IEEE Technical Achievement Award (2012) IEEE ISMAR Career Impact Award (2020) Fellow of IEEE Member, Austrian Academy of Sciences Member, Academia Europaea

Michal Iraniمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Artificial Intelligence
• +۶ مورد دیگر

Michal Irani is a Professor at the Weizmann Institute of Science in Israel, affiliated with the Department of Computer Science and Applied Mathematics. She earned her B.Sc., M.Sc., and Ph.D. in Mathematics and Computer Science from the Hebrew University of Jerusalem. Her research spans Computer Vision , Image Processing , and Artificial Intelligence , with a focus on video analysis, machine learning, and pattern recognition. She has contributed to fields like ambient assisted living and computational intelligence. David Sarnoff Research Center Technical Achievement Award (1994) Yigal Alon Fellowship (1998) Morris L. Levinson Prize in Mathematics (2003) Maria Petrou Prize (2016) Landau Prize in AI (2019) Rothschild Prize (2020) ECCV Best Paper Awards (2000, 2002) Marr Prize Honorable Mentions (2001, 2005) Helmholtz Prize – Test of Time Award (2017)

Shie Mannorمشاهده پروفایل

استاد

• Machine Learning
• Data Science
• Reinforcement Learning
• +۶ مورد دیگر

Shie Mannor is a Professor in the Department of Electrical and Computer Engineering at the Technion - Israel Institute of Technology. He previously served as an Assistant Professor and then Associate Professor at McGill University from 2004 to 2010, during which he held the Canada Research Chair in Machine Learning. His research focuses on Machine Learning, Data Science, Reinforcement Learning, and Control Systems, with applications in Automation, Robotics, and large-scale system analysis. Education: PhD in Electrical Engineering from the Technion (2002), followed by a Fulbright Postdoctoral Fellowship at MIT's LIDS. Academic Affiliations: McGill University (2004–2010), Technion (since 2008). Industry Roles: Co-founded four companies (Kashya, WideSail Technologies, Jether Energy Research, Amooka AI) and held leadership positions at SAIPS (Ford subsidiary) and NVIDIA Research. His work has resulted in over 80 journal papers, 200 conference papers, 10 patents, and 20,900+ citations (h-index: 72). Awards include the Canada Research Chair and Fulbright Fellowship. Research Themes: Reinforcement learning, control systems, and scalable data-driven decision-making. Scientific Awards: Canada Research Chair in Machine Learning (2005–2009) Fulbright Postdoctoral Fellowship at MIT (2002–2004)

• Biomedical Engineering
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Donato Cascio is an Associate Professor in the Department of Physics and Chemistry - Emilio Segrè at the University of Palermo. His research focuses on biomedical engineering, machine learning applications in healthcare, and medical imaging analysis. He teaches physics to students in Dentistry, Veterinary Medicine, and Medicine, with office hours available via Teams. Current position: Associate Professor at University of Palermo (PHYS-06/A) Teaching: Physics for Dentistry, Veterinary Medicine, and Medicine students Research: Machine learning in diagnostics, medical imaging, AI-driven healthcare solutions Dr. Cascio's work spans biomedical applications of artificial intelligence, including AI-assisted cancer diagnosis, neonatal health prediction models, and automated immunofluorescence image analysis. His recent publications demonstrate a strong focus on machine learning for medical decision support and clinical imaging enhancement. His machine learning research trends include applications for breast cancer classification, stem cell donation awareness, and neonatal outcomes prediction. While no specific scientific awards are mentioned, his work has contributed to projects like AIDA (Auto Immunity: Diagnosis Assisted by Computer) and MAGIC-5 mammographic database initiatives.

• Biomedical Image Processing
• Machine Learning in Medical Diagnostics
• Radiation Physics
• +۲ مورد دیگر

Giuseppe Raso is a Professor at the University of Palermo , affiliated with the Department of Physics and Chemistry . He specializes in biomedical image processing , radiation physics , and autoimmune disease diagnostics . His work integrates machine learning and semiconductor detector technology for applications in medical imaging and environmental radiation monitoring . Research Interests: Development of AI-driven diagnostic systems for coeliac disease Advanced signal processing techniques for CdZnTe/CdTe radiation detectors Automated analysis of HEp-2 cell immunofluorescence patterns Key Publications span deep learning in biomedical imaging , radiation spectroscopy , and grid infrastructure for medical data analysis .

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۵ مورد دیگر

Edoardo Battegazzore is a Research Fellow at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino , where he also serves as an external lecturer and teaching assistant. His work spans virtual and augmented reality applications in medical training, cognitive psychology, and public safety, supported by funded projects such as Holo-BLSD (2024-2025). Education: Completed his PhD (XXXV Cycle) with a thesis titled "Virtual and Augmented Reality Applications for Public Health and Safety" (2024), advised by Andrea Bottino and Fabrizio Lamberti Research interests focus on: Virtual Reality (VR) and Augmented Reality (AR) for medical training and cognitive testing Human-Computer Interaction in collaborative AR environments Simulation Modeling for seismic and pedestrian evacuation dynamics Gamification in education and behavioral studies Recent publications highlight trends in VR/AR applications for prosthetics, airway management, and public health, alongside behavioral studies on cooperation and competition. His work also covers usability evaluations of AR/VR devices for industrial and emergency training. Current affiliations include: CGVG - Computer Graphics and Vision Group (DAUIN) Collaborator on funded projects like Holo-BLSD (2024-2025)

• 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

• Computer Graphics
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Masoud Karimi is a Research Fellow at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He is affiliated with the Computer Graphics and Vision Group (CGVG) and can be contacted at masoud.karimi@polito.it.

• Artificial Intelligence
• Computer Graphics
• Computer Vision
• +۳ مورد دیگر

Alessandro Emmanuel Pecora is a Ph.D. candidate in Computer and Systems Engineering (40th cycle, 2024-2027) at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He also serves as an external lecturer and teaching assistant. As a member of the Computer Graphics and Vision Group (CGVG), his research focuses on memory models for virtual agents and humans, integrating psychological foundations with computational architectures. This work aligns with emerging trends in artificial intelligence and extended reality (XR). He contributes to teaching as a course collaborator for Algorithms and Data Structures in the Computer Engineering program (2025/26 academic year).

• Computer Graphics
• Multimedia
• Augmented Reality
• +۳ مورد دیگر

Leonardo Vezzani is a Ph.D. candidate in Computer and Systems Engineering at Politecnico di Torino's Department of Control and Computer Science (DAUIN), currently in his 38th cycle (2022-2025). He serves as an external lecturer and teaching assistant at DAUIN, while also collaborating with the Internationalization, Cooperation, Alliances, and Mobility (INCAM) office. Education: Master's in Cinema and Multimedia Engineering (2022), with a thesis on 'Seated Pressure-Mapping Locomotion Interface for Virtual Reality' His research focuses on the intersection of computer graphics and augmented reality (AR), particularly in designing AR head-up displays (HUDs) for automotive applications. Collaborating with the Reply Cluster, he develops tools to test and enhance AR interface quality, emphasizing usability and safety optimization. Recent publications demonstrate expertise in AR/VR systems, including immersive driving simulation frameworks (2025), marker-based warehouse navigation solutions (2024), and locomotion interface innovations (2023). Awards include a Best Pitch Award (2025), a Scientific Paper Honorary Mention (2023), and a Certificate of Appreciation from CSCC (2024). Scientific Honors: Best Pitch Award from BMW-EURECOM-TUM Summer School (2025) SCIENTIFIC PAPER HONORARY MENTION AWARD for 'The WalkingSeat' (2023) Certificate of Appreciation from International Conference on Circuits, Systems, Communications and Computers (2024) Teaching activities span multiple academic years (2023/24-2025/26) across both Master's and Bachelor's programs. He contributes to the Engineering and Management Challenge@PoliTo course and collaborates on Computer Science courses within Aerospace Engineering curricula. As part of DAUIN's Computer Graphics and Vision Group (CGVG), he explores novel applications of immersive technologies in transportation and industrial contexts.

• Artificial Intelligence
• Machine Learning
• Computer Science
• +۴ مورد دیگر

Salvatore Freni is a Ph.D. candidate in Artificial Intelligence (40th cycle, 2024-2027) at the Politecnico di Torino , affiliated with the Department of Control and Computer Engineering (DAUIN). He serves as an External Lecturer and Teaching Assistant at DAUIN and is a member of the VANDAL - Visual and Multimodal Applied Learning Laboratory . His research interests include Artificial Intelligence, Machine Learning, Computer Vision, and Multimodal Learning. He is involved in teaching activities for the Bachelor of Science in Computer Science and Aerospace Engineering courses (Academic Year 2025/26) and is supervised by Professors Tatiana Tommasi and Ciro Cattuto.

• 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.

• Analytical Chemistry
• Chemometrics
• Food Chemistry
• +۳ مورد دیگر

Alessandro Ulrici is a Full Professor of Analytical Chemistry (SSD CHIM/01) in the Department of Life Sciences at the University of Modena and Reggio Emilia (UNIMORE), a position he has held since December 2023. He also serves as Vice-Director of the Department of Life Sciences. Previously, he was an Associate Professor at UNIMORE from November 2010 to December 2023 and a University Researcher from August 2001 to October 2010. Professor Ulrici's research focuses on three main areas: Development and application of rapid, non-destructive analytical techniques based on chemometric approaches for food control and characterization Development of new algorithms for signal and image analysis, for the selection of significant variables and for the study of complex systems Product and process optimization through multivariate experimental design techniques His recent publications (2023-2025) demonstrate a strong focus on applying advanced analytical techniques to food science problems, particularly in viticulture and oenology, food authentication, and quality control. His work frequently employs NIR hyperspectral imaging, electrochemical sensors, and smartphone-based analytical devices, combined with sophisticated chemometric analysis. Professor Ulrici has received numerous scientific awards including: Highly cited research paper 2016 from Chemometrics and Intelligent Laboratory Systems Multiple Best Poster and Best Oral Presentation Awards from NIRITALIA, IASIM, and the Scandinavian Symposium on Chemometrics As an educator, Professor Ulrici teaches courses in Analytical Chemistry and Chemometrics for undergraduate and graduate students in biotechnology, food safety, and agricultural sciences. He previously served as Coordinator of the PhD Course in Agri-Food Sciences, Technologies and Biotechnologies at UNIMORE from 2017 to 2023. Professor Ulrici directs research activities through the Chemistry and Spectroscopy Laboratory (ChimSLab) at UNIMORE, which maintains an online presence at http://www.chimslab.unimore.it/ .