جستجوی استاد راهنمای دانشگاهی

• Economics
• Political Economy
• Cannabis Legalization
• +۱۳ مورد دیگر

Marco Rossi is a Researcher at the Department of Social and Economic Sciences , Università degli Studi di Roma "La Sapienza." His academic focus includes Economics, Political Economy, and Public Policy , with a specialization in cannabis legalization, sports betting, aging populations, and welfare economics. His research bridges economic theory with interdisciplinary applications, as evidenced by publications on topics ranging from sustainable materials to archaeological conservation . Key areas include economic policy, resource allocation, and social market dynamics. Scientific awards include the 2023 Best Video at the International Symposium for Testing and Failure Analysis and 3rd place in the False Color Image Category at the same symposium. His work also emphasizes non-invasive analytical techniques, such as Tip-Enhanced Raman Spectroscopy and X-ray Microscopy , for studying both modern and historical materials.

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)

• 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.

• Translation Studies
• Conference Interpreting
• Spanish-Italian Translation
• +۳ مورد دیگر

Michela Bertozzi is a Visiting Professor at the University of Bergamo, Department of Foreign Languages, Literatures and Cultures. She specializes in translation and interpretation studies with particular focus on Spanish-Italian language pairs. Her teaching includes 'TECNOLOGIE DELLA TRADUZIONE' (Translation Technologies) for the Modern Foreign Languages and Literatures program. Her research interests center on contemporary challenges in interpretation, particularly examining self-directed learning approaches for conference interpreters, active listening and memory techniques, and the impact of anglicisms in simultaneous interpretation between Italian and Spanish. She has developed innovative methodologies for interpretation training outside traditional classroom settings. Bertozzi's recent publications reveal a strong focus on adapting interpretation practices to digital environments, particularly examining how video conferencing technologies like Zoom have transformed both professional practice and training methodologies. Her work demonstrates a commitment to practical applications of translation theory with emphasis on assessment methods and pedagogical innovation. Her advising activities focus on supporting students in developing practical interpretation skills, though specific students are not listed in available materials. While no major scientific awards are documented in the provided information, her consistent publication record in reputable journals demonstrates scholarly recognition.