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Dimitar Filev
Research & Advanced Engineering, Ford Motor Company
United States
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Brief Bio
Dr. Filev is a Senior Henry Ford Technical Fellow from the Ford Motor Company (retired) and a Hagler Fellow of the Institute for Advanced Study at the Texas A&M University. Dr. Filev is a Member of the National Academy of Engineering and a Life Fellow of the IEEE. He is also recipient of the 2023 IEEE SMCS Joseph G. Wohl Outstanding Career Award, the 2015 IEEE CIS Pioneer’s Award the 2008, the IEEE SMCS Norbert Wiener Award, and a 6-time recipient of the Henry Ford Technology Corporate Award, from Ford Motor Company. His research interests are in computational intelligence, artificial intelligence, and intelligen
t control with applications to vehicle systems, autonomous driving, and automotive engineering. He has over 200 publications with 20,000+ citations, an h-index of 60 and 135 granted US patents. He was the President of the IEEE Systems, Man & Cybernetics Society (SMCS) in 2016-2017.
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Giuseppina Gini
DEIB, Politecnico di Milano
Italy
https://gini.faculty.polimi.it/
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Brief Bio
Giuseppina C. Gini, after the “Laurea” degree in Physics from the University of Milano (Italy), in 1972 joined Politecnico di Milano (Italy) as assistant professor. She had various appointments at the hand-eye robotics project at SAIL, and at the NMR Laboratory of the Stanford University (CA, USA). Since 1987, as Associate Professor at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano, she has been responsible for the Robotics and Cognitive Robotics courses in the graduate school, member of the Ph.D. board for Information Engineering, and fellow of ASP, the graduate sch
ool of excellence of Politecnico di Milano and Politecnico di Torino.
Her research themes are at the intersection of robotics, machine learning, and artificial intelligence both symbolic and neural. She has been responsible for the design and implementation of advanced robot languages, simulators, planners, and of bioinspired models of walking, grasping, vision, memory, and robot learning.
She has been the principal investigator in more than 30 European, NATO, bilateral and national research projects. She also served as expert and reviewer for various European research programs and working groups, was a National Delegate in the EU COST Action on Knowledge Exploration in Science and Technology, and member of the European Commission assigning the Giralt PhD Award for extraordinary contributions in robotics.
More info: https://gini.faculty.polimi.it/
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Radu-Emil Precup
Department of Automation and Applied Informatics, Politehnica University of Timisoara
Romania
http://www.aut.upt.ro/~rprecup/
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Brief Bio
Radu-Emil Precup is currently with the Politehnica University of Timisoara (UPT), Romania, where he became a Professor in the Department of Automation and Applied Informatics, in 2000, and he is currently a Doctoral Supervisor of automation and systems engineering. From 2022, he is also a senior researcher (CS I) and the head of the Data Science and Engineering Laboratory of the Center for Fundamental and Advanced Technical Research, Romanian Academy – Timisoara Branch, Romania. From 2016 to 2022, he was an Adjunct Professor within the School of Engineering, Edith Cowan University, Joondalup, WA, Australia. He is
currently the Director of the Automatic Systems Engineering Research Centre with the UPT. From 1999 to 2009, he held research and teaching positions with the Université de Savoie, Chambéry and Annecy, France, Budapest Tech Polytechnical Institution, Budapest, Hungary, Vienna University of Technology, Vienna, Austria, and Budapest University of Technology and Economics, Budapest, Hungary. He has been an Associate Editor of IEEE Transactions on Fuzzy Systems (2018-2022), and is an editorial board member of several prestigious journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Information Sciences (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), Applied Soft Computing (Elsevier), Expert Systems with Applications (Elsevier), Evolving Systems (Springer), Applied Artificial Intelligence (Taylor & Francis), Healthcare Analytics (Elsevier), and Communications in Transportation Research (Elsevier).
Prof. Precup is a corresponding member of The Romanian Academy, a Doctor Honoris Causa of the Óbuda University, Budapest, Hungary, and the Széchenyi István University, Gyor, Hungary. He was the recipient of the Elsevier Scopus Award for Excellence in Global Contribution (2017), was named a 2022 academic data leader by Chief Data Officer (CDO) Magazine, and was listed as one of the top 10 researchers in Artificial Intelligence and Automation (according to IIoT World as of July 2017).
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