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Oleg Gusikhin
Ford Motor Company
United States
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Brief Bio
Oleg Gusikhin is a Senior Director, Data Science & Machine Learning at Ford Global Data Insight & Analytics. Dr. Gusikhin is a Fellow of IEEE, a Fellow of INFORMS and a Fellow of AAIA. For over 20 years, he has been working at Ford Motor Company in different functional areas. 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. He is a recipient of three Henry Ford Technology Awards in the Manufacturing, Research, and Product Development categories and the 2014 INFORMS Daniel H. Wagner Priz
e 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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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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Brief Bio
Allel Hadjali is Full Professor in Computer Science at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA), Poitiers, France. He is a member of the Data and Model Engineering research team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS). His main area of research falls within Data Science field, and more specifically, the research topics related to Data Exploitation and Analysis (sensor data, semantic data, incomplete data), Knowledge Extraction and Recommendation. His current research interests include Soft Computing and Computational Intelligence in Databas
es (Cooperative/Intelligent Databases, Data fusion/integration, Data quality, Data Uncertainty, Data Privacy and Trust), Machine Learning-based Recommendation, Explainable Artificial Intelligence. His recent works were published in well-known journals (e.g., Applied Soft Computing, Knowledge and Information Systems, Fuzzy Sets and Systems, International Journal of Intelligent Systems, Journal of Intelligent Information Systems). He also published several papers in International Conferences (e.g., ESWC, ICTAI, WISE, Fuzz-IEEE, DEXA, FQAS, SUM, ISMIS, IPMU, CoopIS, IFSA, ACM SAC). He co-organized several special sessions, e.g., « Advances in Data Management in the Context of Incomplete Databases » in conjunction with IFSA (2015) Conference and « Uncertainty in Cloud Computing » in conjunction with DEXA (2017) Conference. He co-organized also several special issues in well-known journals, among them, « On Advances in Soft Computing Applied to Databases and Information Systems » in Fuzzy Sets and Systems Journal (2011), « Post LFA 2015 Conference » in Fuzzy Sets and Systems Journal (2017), « Uncertain Cloud » in International Journal of Approximate Reasoning (2019). The complete list of his publications is available in http://www.lias-lab.fr/members/allelhadjali
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