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BEGIN:VEVENT
CREATED:20250603T104312Z
LAST-MODIFIED:20250603T104312Z
DTSTAMP:20260909T162026Z
UID:1788960026@tuc.gr
SUMMARY:Ομιλία Associate Professor Mykel Koc
 henderfer, Stanford University, στο 
 Πολυτεχνείο Κρήτης
LOCATION:Λ - Κτίριο Επιστημών/ΗΜΜΥ, Αμφιθέατρ
 ο Θέλμα Μαυρίδου
DESCRIPTION:https://www.tuc.gr/el/to-polytechnei
 o/ilektronikes-ypiresies/imerologio/
 imerologio-ekdiloseon-1?tx_tucevents
 2_tuceventsdisplay%5Baction%5D=show&
 tx_tucevents2_tuceventsdisplay%5Bcon
 troller%5D=Event&tx_tucevents2_tucev
 entsdisplay%5Bevent%5D=7736&cHash=69
 c6d2bd09aac0e8ae0046cc0cf595b7\nΤο Π
 ολυτεχνείο Κρήτης υποδέχεται τον προ
 σκεκλημένο ομιλητή\n Mykel Kochender
 fer\n Associate Professor of Aeronau
 tics and Astronautics, Stanford Univ
 ersity\n \n ο οποίος θα δώσει την πα
 ρακάτω επιστημονική ομιλία στην Πολυ
 τεχνειούπολη:\n “Automated Decision 
 Making for Safety Critical Applicati
 ons”\n Παρασκευή 6 Ιουνίου 2025 και 
 ώρα 15:00\n Αμφιθέατρο Θέλμα Μαυρίδο
 υ\n \n Abstract:\n Building robust d
 ecision making systems for autonomou
 s systems is challenging. Decisions 
 must be made based on imperfect info
 rmation about the environment and wi
 th uncertainty about how the environ
 ment will evolve. In addition, these
  systems must carefully balance safe
 ty with other considerations, such a
 s operational efficiency. Typically,
  the space of edge cases is vast, pl
 acing a large burden on human design
 ers to anticipate problem scenarios 
 and develop ways to resolve them. Th
 is talk discusses major challenges a
 ssociated with ensuring computationa
 l tractability and establishing trus
 t that our systems will behave corre
 ctly when deployed in the real world
 . We will outline some methodologies
  for addressing these challenges and
  point to some research applications
  that can serve as inspiration for b
 uilding safer systems.\n  \n Bio:\n 
 Mykel Kochenderfer is Associate Prof
 essor of Aeronautics and Astronautic
 s and Associate Professor, by courte
 sy, of Computer Science at Stanford 
 University and senior fellow at HAI.
  He is the director of the Stanford 
 Intelligent Systems Laboratory (SISL
 ), conducting research on advanced a
 lgorithms and analytical methods for
  the design of robust decision makin
 g systems. Of particular interest ar
 e systems for air traffic control, u
 nmanned aircraft, and automated driv
 ing where decisions must be made in 
 uncertain, dynamic environments whil
 e maintaining safety and efficiency.
  Research at SISL focuses on efficie
 nt computational methods for derivin
 g optimal decision strategies from h
 igh-dimensional, probabilistic probl
 em representations.\n Prior to joini
 ng the faculty in 2013, he was at MI
 T Lincoln Laboratory where he worked
  on airspace modeling and aircraft c
 ollision avoidance. He received his 
 Ph.D. from the University of Edinbur
 gh in 2006 where he studied at the I
 nstitute of Perception, Action and B
 ehaviour in the School of Informatic
 s. He received B.S. and M.S. degrees
  in computer science from Stanford U
 niversity in 2003. Prof. Kochenderfe
 r is a co-director of the Center for
  AI Safety. He is affiliated with th
 e Stanford Artificial Intelligence L
 aboratory (SAIL), the Human-Centered
  AI (HAI) Institute, the Symbolic Sy
 stems Program, the Bio-X Institute, 
 and Wu Tsai Neurosciences Institute.
  In 2017, he was awarded the DARPA Y
 oung Faculty Award. He is an editor-
 in-chief of the Journal of Artificia
 l Intelligence Research and an assoc
 iate editor of the Journal of Aerosp
 ace Information Systems. He is an au
 thor of the textbooks Decision Makin
 g under Uncertainty: Theory and Appl
 ication (MIT Press, 2015), Algorithm
 s for Optimization (MIT Press, 2019)
 , Algorithms for Decision Making (MI
 T Press, 2022), and Algorithms for V
 alidation (MIT Press, forthcoming).\
 n
STATUS:CONFIRMED
ORGANIZER;RSVP=FALSE;CN=TUC;CUTYPE=TUC:mailto:webmaster@tuc.gr
DTSTART:20250606T150000
DTEND:20250606T160000
TRANSP:OPAQUE
CLASS:DEFAULT
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