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Mariagrazia Dotoli is a Full Professor in Systems and Control Engineering at Politecnico di Bari, Department of Electrical and Information Engineering, which she joined in 1999 as a tenured Assistant Professor. She was the 2011-2013 Vice Rector for Research of Politecnico di Bari (Italy) and a 2012-2015 member elect of the Academic Senate of the same University. She is currently Coordinator of the interuniversity PhD course in Industry 4.0 of Politecnico di Bari and Università degli Studi di Bari Aldo Moro. She received the Laurea degree in Electronic Engineering with honors in 1995 and the Ph.D. in Electrical Engineering in 1999, both from Politecnico di Bari.
She has been a visiting scholar at the Paris 6 University (France) and at the Technical University of Denmark. Since 2003 she is an expert evaluator of the European Commission, previously for the Sixth and Seventh RTD Framework Programmes, and subsequently for Horizon 2020. Her research interests include the modeling, identification, management, control, automation, optimization, and diagnosis of: discrete event industrial systems, Petri nets, manufacturing systems, supply chains, logistics and transportation systems, traffic networks, energy systems.
She is a Senior Editor of the IEEE Transactions on Automation Science and Engineering, and an Associate Editor the IEEE Transactions on Control Systems Technology and the IEEE Transactions on Systems, Man, and Cybernetics: Systems. She was an Associate Editor of the IEEE Robotics and Automation Letters until 2018.
Mariagrazia Dotoli
Full Professor in Systems and Control Engineering at Politecnico di Bari, Department of Electrical and Information Engineering
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Larry Matthies is a Senior Research Scientist at JPL in the Mobility and Robotic Systems Section. He is a member of the editorial boards for the Autonomous Robots journal and the Journal of Field Robotics. His research interests are in perception for autonomous navigation of robotic vehicles of all varieties. He is currently the Technology Coordinator for the Mars Exploration Program office at JPL.
Larry Matthies is the Mars Exploration Program Technology Coordinator since 2020 and has been a Senior Research Scientist since 2001, a Principal Member of Technical Staff since 1999, and a Group Supervisor from 1997 to 2018. He has been the principal investigator for numerous research tasks in computer vision funded by NASA, DARPA, the U.S. Army, and other sponsors since 1992, and has contributed to the development of vision systems for Mars missions, including the Mars Exploration Rover, Mars Pathfinder, and the Ingenuity Mars helicopter. His group’s vision algorithms have impacted every U.S. Mars surface mission since Pathfinder. He has received several prestigious awards, including the 2019 AIAA GNC Best Paper, 2017 IROS Best Cognitive Robotics Paper, and the 2007 NASA Exceptional Achievement Medal.
Larry Matthies
Senior Research Scientist at JPL in the Mobility and Robotic Systems Section
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Prof S. Joe Qin is currently Wai Kee Kau Chair Professor of Data Science and President of Lingnan University in Hong Kong. In his prior career he worked as Principal Engineer at Emerson Process Management from 1992 – 1995, Assistant Professor, Associate Professor, and Professor and the holder of the Paul D. and Betty Robertson Meek and American Petrofina Foundation Centennial Professorship in Chemical Engineering from 1995 – 2007 at the University of Texas at Austin, and the Fluor Professor at the Viterbi School of Engineering of the University of Southern California from 2007 – 2019, during which time he took three years leave to be Vice President and Presidential Chair Professor at The Chinese University of Hong Kong, Shenzhen. From January 2020 to June 2023 he was in Hong Kong serving as the inaugural Dean of the School of Data Science and Chair Professor of Data Science at the City University of Hong Kong.
Prof Qin is a Member of the European Academy of Sciences and Arts (EASA), Fellow of the Hong Kong Academy of Engineering Sciences (HKAES), Fellow of the U.S. National Academy of Inventors, Fellow of the International Federation of Automatic Control (IFAC), AIChE Fellow, and IEEE Fellow. He is the recipient of the 2022 CAST Computing in Chemical Engineering Award by the American Institute of Chemical Engineers (AIChE) and the 2022 IEEE CSS Transition to Practice Award. To date he is the first and only recipient of both awards from Greater China. In his early career he received the U.S. National Science Foundation CAREER Award, the 2011 Northrop Grumman Best Teaching award at Viterbi School of Engineering, the DuPont Young Professor Award, Halliburton/Brown & Root Young Faculty Excellence Award, NSF-China Outstanding Young Investigator Award, MOE-China Changjiang Professorship, and the IFAC Best Paper Prize for a model predictive control paper published in Control Engineering Practice.
Prof Qin has published over 470 international journal papers, book chapters, conference papers, and plenary, invited, and contributed conference presentations and has advised more than 40 Ph.D. students graduating 32 with Ph.D. degrees. His research interests include data science and analytics, machine learning, process monitoring, model predictive control, system identification, smart manufacturing, smart cities, and predictive health maintenance.
S. Joe Qin
Wai Kee Kau Chair Professor of Data Science and President of Lingnan University in Hong Kong
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Dr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. Prior to joining Georgia Tech in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He received his B.S. and M.S. in Electrical Engineering from the Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992.
Dr. Shi is a pioneer in the development and application of data fusion for quality improvements. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. He has produced 40 Ph.D. graduates, 27 of which have joined IE department as faculty members. Among them, 7 have received NSF CAREER Awards and one has received the NSF PECASE award. He has published one book and more than 180 papers. He has served as PI and co-PI for projects totaling more than 25 million dollars, which were funded by National Science Foundation, NIST Advanced Technology Program, Department of Energy, General Motors, Daimler-Chrysler, Ford, Boeing, Lockheed-Martin, Honeywell, Pfizer, Samsung, and various other industrial companies and funding agencies. The technologies developed in Dr. Shi’s research group have been widely implemented in various production systems with significant economic impacts.
Dr. Shi is the founding chair of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). He has served as the Editor-in-Chief of the IISE Transactions (2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers. He also served as the Focus Issue Editor of IISE Transactions on Quality and Reliability Engineering (2007-2017), editor of Journal of System Science and Complexity, and advisory editor of Journal of Quality Technology and Quantitative Management (QTQM). He is a Fellow of American Society of Mechanical Engineering (ASME), a Fellow of the Institute of Industrial and Systems Engineering (IISE), a Fellow of Institute of Operations Research and the Management Science (INFORMS), a Fellow of Society of Manufacturing Engineering (SME), an Academician of the International Academy for Quality, and a member of National Academy of Engineering (NAE) of the USA.
Jianjun Shi
Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology.