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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART:20260329T030000
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DTSTART;TZID=Europe/Berlin:20211108T080000
DTEND;TZID=Europe/Berlin:20211111T180000
DTSTAMP:20211020T083901Z
CREATED:20211020
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SUMMARY:MLIS 2021. 3rd International Conference on Machine Learning and Intelligent Systems
DESCRIPTION:On November 8th. – 11st., our Head Enrique Zuazua will be part of the plenary speakers at the MLIS 2021: 3rd. International Conference on Machine Learning and Intelligent Systems organized by College of Computer Science and Technology, Huaqiao University, China.\nWHERE?\nXiamen, China/MS Teams (link available on October 2021)\nWHEN?\nMon. November 8 – 11, 2021\nPlenary Speakers\n\nProf. Jan Treur -TBA\nProf. Enrique Zuazua “Neural Differential Equations, Control and Machine Learning”\nProf. KC Santosh -TBA\nProf. Victor Chang -TBA\nProf. Zhihan Lv “An Optimized Byzantine Fault Tolerance Algorithm For Consortium Blockchain”\nDr. Houbing Song -TBA\n\n \nInvited Speakers\n\nDr. Luis Anido-Rifon “Application of Machine Learning Techniques to the Conversational Data of a Digitalized Classical Test”\nProf. Jon-Lark Kim -TBA\nDr. Richi Nayak “Machine Learning Methods Elucidating Good and Bad of Social Media Data”\nDr. Liang Zhao “Intelligence-Empowered Vehicular Networking and Computing”\nProf. Gyu Myoung Lee “Challenges for trust in AI”\nDr. Anand Nayyar “Digital Twins: Smart Transformation towards Industry 4.0”\nDr. Chong-Yung Chi -TBA\nDr. A. Shahina -TBA\nR. S. Hegadi -TBA\nS BalaKrishnan “IoT Development: Challenges and Opportunities”\nFrancesco Piccialli “Lessons Learned from Artificial Intelligence applications in Cultural Heritage and Medicine”\nProf Dr. Tanzila Saba “IoT Enabled Technology in smart Healthcare: IoMT Applications, Achievements & Challenges”\nDr. Hamed Taherdoost “Information Security Awareness to Facilitate Digital Transformation”\nDr. Chaojie Li “Integration of Renewable Energy Resources into Active Distribution Network through Explainable AI (XAI)”\nAssoc. Prof. Dr. Shyamala Doraisamy “Machine Listening and its Applications”\nEugenio Cesario “Spatio-Temporal Crime Predictions in Smart Cities: Applications, Achievements and Challenges”\nDr. Ali Wagdy Mohamed “Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm”\nDr. Mu-Yen Chen -TBA\n\n \nCheck the official event page\n
URL:https://dcn.nat.fau.eu/events/mlis-2021-3rd-international-conference-on-machine-learning-and-intelligent-systems/
CATEGORIES:EZuazua,Seminar/Talk
LOCATION:Worldwide
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/mlis2021-nov08-11.png
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