Martedì alle 14:00 -- 16:00 @ Santa Marta (stanza 287)
Mercoledì alle 10:00 -- 12:00 @ MICC (Viale Morgagni 65)
Oppure per appuntamento (o meglio su Discord)
Andrew D. Bagdanov received the Bachelor of Arts in Computer Science and Mathematics from the University of Nevada, Las Vegas, in 1995. He received a Masters of Science in Computer Science, also from the University of Nevada, Las Vegas, in 1996 for his thesis on digital image processing for document image analysis applications. He obtained his PhD in computer science in 2004 from the University of Amsterdam for his PhD dissertation on style-based document image understanding. He held a postdoctoral position at the University of Florence, where his research focused on active camera control, visual tracking and detection, and retrieval of trademarks in sports videos. After Florence, Dr. Bagdanov held a senior development position at the FAO of the United Nations in Rome where he worked on developing large-scale, multilingual ontologies for cross-language retrieval of agricultural information in over twenty languages. In 2008 he joined the Computer Vision Center, Barcelona, at the Universitat Autonoma de Barcelona where he worked on computer vision for active camera networks and object recognition and detection. In 2011, Dr. Bagdanov joined the Media Integration and Communication Center at the University of Florence where he worked on visual profiling for cultural heritage applications and person re-identification.
Dr. Bagdanov was a Ramon y Cajal Fellow at the Computer Vision Center, Barcelona, and is currently Associate Professor at the University of Florence and is the coordinator of the Masters Program in Artificial Intelligence Engineering. His research spans a broad spectrum of computer vision, image processing and machine learning. Prof. Bagdanov has held professional and academic positions in four countries; he is a native English speaker, speaks Italian and Spanish fluently, and has a working knowledge of Dutch. He has published over one hundred scientific articles in peer-reviewed, international journals and conference proceedings and has a Google Scholar h-index of 37.
PERSONAL DETAILS:Prof. Andrew David BAGDANOVDipartimento di Ingegneria dell'InformazioneUniversità degli Studi di FirenzeVia S. Marta, 3 - 50139 Firenze - ItalyEmail: andrew.bagdanov [AT] unifi.it
BIOGRAPHY:Andrew D. Bagdanov received the Bachelor of Arts in Computer Science and Mathematics from the University of Nevada, Las Vegas, in 1995. He received a Masters of Science in Computer Science, also from the University of Nevada, Las Vegas, in 1996 for his thesis on digital image processing for document image analysis applications. He obtained his PhD in computer science in 2004 from the University of Amsterdam for his PhD dissertation on style-based document image understanding. He held a postdoctoral position at the University of Florence, where his research focused on active camera control, visual tracking and detection, and retrieval of trademarks in sports videos. After Florence, Dr. Bagdanov held a senior development position at the FAO of the United Nations in Rome where he worked on developing large-scale, multilingual ontologies for cross-language retrieval of agricultural information in over twenty languages. In 2008 he joined the Computer Vision Center, Barcelona, at the Universitat Autonoma de Barcelona where he worked on computer vision for active camera networks and object recognition and detection. In 2011, Dr. Bagdanov joined the Media Integration and Communication Center at the University of Florence where he worked on visual profiling for cultural heritage applications and person re-identification.
BIBLIOMETRIC SUMMARY:Google Scholar h-Index: 37Google Scholar i10-Index: 75
LANGUAGES:English (native), Italian (fluent), Spanish (fluent), Dutch (advanced).
RESEARCH INTERESTS:Computer vision, machine learning, deep learning, computer vision, visual object recognition, active vision, continual learning, reinforcement learning, video surveillance, semantic image segmentation, person re-identification.
EDUCATION:Ph.D. in Computer Science: University of Amsterdam, May, 2004.M.Sc. in Computer Science: University of Nevada, Las Vegas. December, 1996.B.A. in Computer Science: University of Nevada, Las Vegas, September, 1995.B.A. in Mathematics: University of Nevada, Las Vegas, September, 1995.
ACCREDITATION:Abilitazione Scientifica Nazionale (ASN) 2016 (Ia fascia nel settore 01/B1, 2018).Abilitazione Scientifica Nazionale (ASN) 2016 (Ia fascia nel settore 09/H1, 2018).
ACADEMIC AND PROFESSIONAL RESEARCH POSITIONS HELD:Dr. Bagdanov has held research positions in four countries (The United States, The Netherlands, Italy and Spain):
PHD STUDENT SUPERVISION:
PARTICIPATION IN FUNDED COMPETITIVE RESEARCH PROJECTS:In all of his academic positions, Dr. Bagdanov has participated in research funded by public, private, and international organizations. Here are listed the projects in which he played an important role.
TECHNOLOGY TRANSFER:Dr. Bagdanov participates or has participated in technology transfer activities throughout his career: in The Netherlands (Océ - A Canon Company); in Spain (Wide Eyes Technologies, SADAKO Technologies, and CTRL4 Enviro S.L); and in Italy (Alcatel, Autostrade SPA, ALSTOM SA, Verizon Connect, Movyon SpA, and Magenta SRL).
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Legenda
INVITED TALKS AND TUTORIALS