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Oleg Gusikhin
Ford Motor Company
United States
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Brief Bio
Dr. Oleg Gusikhin is a Senior Director, Data Science & Machine Learning at Ford Global Data Insight & Analytics, where he leads Supply Chain Analytics. He has over 30 years of experience in application of advanced technology and analytics in the automotive industry. During his tenure at Ford, he has created numerous high-impact long-lasting applications for Ford manufacturing, supply chain and connected vehicles, and holds over 100 patents. Dr. Gusikhin is a Fellow of IEEE, a Fellow of INFORMS and a Fellow of AAIA. He is a recipient of three Henry Ford Technology Awards in the Manufacturing, Research, and Product
Development categories, the 2025 INFORMS Innovative Applications in Analytics Award, and the 2014 INFORMS Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research. In addition, Dr. Gusikhin is a Lecturer at the University of Michigan Industrial & Operations Engineering and engineering faculty advisor at the Tauber Institute for Global Operations.
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Carlo Sansone
University of Naples Federico II
Italy
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Brief Bio
Carlo Sansone is currently Full Professor of Computer Engineering at the Dipartimento di Ingegneria Elettrica e Tecnologie dell’Informazione of the University of Naples Federico II. His basic interests cover the areas of image analysis, pattern recognition and machine and deep learning. From an applicative point of view, his main contributions were in the fields of biomedical image analysis, biometrics, intrusion detection in computer networks and image forensics. He coordinated several projects in the areas of artificial intelligence, biomedical images interpretation and network intrusion detection. Prof. Sanson
e is a member of the IEEE and of the International Association for Pattern Recognition (IAPR). In 2012 he was elected Vice-President of the GIRPR (the Italian Association affiliated to the IAPR) for two terms (four years).
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Donatello Conte
Université de Tours
France
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Brief Bio
Donatello Conte received his Ph.D. degree in 2006 by a joint supervision between LIRIS laboratory of the INSA of Lyon (France) and MIVIA laboratory of the University of Salerno (Italy).
He has been an Assistant Professor from 2006 to 2013, in Italy at the University of Salerno. From 2013 to date, he is Associate Professor at the Computer Science Laboratory of the University of Tours.
He is currently head of the Computer Science Department at Polytech Tours School of Engineering.
Currently he is co-head of the RFAI team at the Computer Science Laboratory and he
participates, as member and sometimes as local coordinator, to several regional projects on image and video analysis.
His main research fields are: structural pattern recognition (graph matching, graph kernels, combinatorial maps), video analysis (objects detection and tracking, trajectories analysis, behavioral analysis, etc.), and affective computing (emotion recognition, multimodality analysis for affective analysis, physiological measures by video analysis, etc.).
He is the author of more than 70 publications and reviewers in the main journals in his research field (PAMI, PR, CVIU, TIP, etc.). He is member of the Editorial Board of the Elsevier Journal Internet of Things, MDPI Journal of Imaging and he is Guest Editor for the Pattern Recognition Letters journal.
He has been co-chair of the International Workshop on Graph-basd Representation in Pattern Recognition (GbR2019) that was held in France in June 2019. He has been co-chair of the Video Processing for Human Behavioral Analysis (VP-HBA) Track at the 35th ACM Symposium on Applied Computing (SAC 2020).
Since 2016 he is member of the Governing Board of the French Association for Research in Technical Aids for the Disability (IFRATH). Since 2016 he is member of the Governing Board of the French Association for Pattern Recognition (AFRIF) and he has been association secretary since 2018. He is a member of the International IAPR Technical Committee 15 (dedicated to the promotion of graphs in the Pattern Recognition), for which he has just been appointed (February 2021) as chairman.
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Ana Fred
Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon)
Portugal
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Brief Bio
Ana Fred received the M.S. and Ph.D. degrees in Electrical and Computer Engineering, in 1989 and 1994, respectively, both from Instituto Superior Técnico (IST), Technical University of Lisbon, Portugal. She is a Faculty Member of IST since 1986, where she has been a professor with the Department of Electrical and Computer Engineering, and more recently with the Department of Biomedical Engineering. She is a researcher at the Pattern and Image Analysis Group of the Instituto de Telecomunicações. Her main research areas are on pattern recognition, both structural and statistical approaches, with application to data
mining, learning systems, behavioral biometrics, and biomedical applications. She has done pioneering work on clustering, namely on cluster ensemble approaches. Recent work on biosensors hardware (including BITalino – and ECG-based biometrics (Vitalidi project) have been object of several nacional and internacional awards, as well as wide dissemination on international media, constituting a success story of knowledge transfer from research to market. She has published over 160 papers in international refereed conferences, peer reviewed journals, and book chapters.
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