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DTSTART:19450814T190000
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BEGIN:VEVENT

CATEGORIES:Europe focus
CATEGORIES:Politics
CATEGORIES:Other
CATEGORIES:Utilities
CATEGORIES:Reception
CATEGORIES:Social
CATEGORIES:Main
CATEGORIES:Party
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20250211T212137Z
DESCRIPTION:The Department of German Studies\, in collaboration with Duke 
 Election Exchange\, invites you to join us for a watch party as Germany h
 olds its 2025 federal elections (Bundestagswahl). This event offers a uni
 que opportunity to engage with German politics and culture\, providing in
 sights into one of the world's most influential parliamentary systems.\nA
 ttendees will have the chance to learn about key political issues\, under
 stand the German electoral system\, and discuss the potential implication
 s of the election results for Germany's future and its transatlantic rela
 tions with the U.S. Light refreshments will be provided.\nThis event is o
 pen to all students\, faculty\, and members of the Duke community. We enc
 ourage anyone with an interest in international politics\, German culture
 \, or global affairs to attend.\nWe look forward to seeing you there!
DTEND;TZID=America/New_York:20250223T140000
DTSTAMP:20250211T212137Z
DTSTART;TZID=America/New_York:20250223T120000
LAST-MODIFIED:20250211T212137Z
LOCATION;X-BEDEWORK-UID=18832e99-1f059a59-011f-14fc4b73-00000095:Old Chemi
 stry 01
STATUS:CONFIRMED
SUMMARY:German Federal Election Watch Party
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 Other/Reception
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Europe focus:/user/public-us
 er/Topic of Event Focused on a Country or Continent (if applicable)/Europ
 e focus
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Politics:/user/public-user/T
 opics/Politics
X-BEDEWORK-DUKE-WEBCAST:https://german.duke.edu/news/german-federal-electi
 on-watch-party
X-BEDEWORK-SUBMITTEDBY:dt96 for German Studies (agrp__ArtsandSciences_Germ
 an)
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=achim.schmid@duke.edu:Ac
 him Schmid
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Medicine
CATEGORIES:Engineering
CATEGORIES:Utilities
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20251103T212215Z
DESCRIPTION:ABSTRACT:  Robotic assisted surgery (RAS) systems provide enha
 nced dexterity and precision but still require surgeons to control every 
 motion\, leading to long procedures and variable outcomes. While autonomo
 us robotics has revolutionized manufacturing and aviation\, soft tissue s
 urgery presents unique challenges including unpredictable deformations an
 d complex perception requirements. My research transforms teleoperated ro
 botic surgery into autonomous systems to improve patient outcomes through
  increased precision\, speed\, and reduced human error. This presentation
  will discuss our novel approaches to autonomous soft tissue surgery\, in
 cluding our robotic system for supervised autonomous laparoscopic anastom
 osis and our latest work: the hierarchical surgical robot transformer (SR
 T-H)\, recently published in Science Robotics\, which enables end-to-end 
 learning of complex surgical phases of procedures\n\n \nDR. ALEX KRIEGER 
 is Associate Professor and Carol Croft Linde Faculty Scholar in Mechanica
 l Engineering at Johns Hopkins University. He leads research in autonomou
 s surgical robotics\, including the smart tissue autonomous robot (STAR) 
 and language conditioned imitation learning for surgical automation. Prof
 essor Krieger is an NSF CAREER award recipient and inventor of over thirt
 y patents licensed to companies including Intuitive Surgical\, Siemens\, 
 and Philips. Prior to Hopkins\, he held positions at University of Maryla
 nd and Children's National and worked in industry developing FDA-approved
  medical devices. He earned his doctorate at Johns Hopkins\, where he pio
 neered an MRI-guided prostate biopsy robot used in over 50 patient proced
 ures.\n\nHOSTS: Boyuan Chen\, Xianyi Cheng\, Joanna D. Bertram
DURATION:PT1H
DTSTAMP:20251103T222132Z
DTSTART;TZID=America/New_York:20251103T090000
LAST-MODIFIED:20251103T222132Z
LOCATION;X-BEDEWORK-UID=18832e99-1f059a59-011f-14fc4b73-00000095:Old Chemi
 stry 01
STATUS:CONFIRMED
SUMMARY:Duke Robotics Seminar: Autonomous Robotic Surgery: Will Your Next 
 Surgeon Run on Caffeine or 120V?
UID:CAL-8a00ec8b-979413b9-019a-4b99650e-00004030demobedework@mysite.edu
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T
 opics/Medicine
X-BEDEWORK-SPEAKER:Dr Axel Krieger
X-BEDEWORK-DUKE-SERIES:Duke Robotics Fall 2025 Seminar Series
X-BEDEWORK-IMAGE-ALT-TEXT:axel
X-BEDEWORK-SUBMITTEDBY:st305 for Mechanical Engineering and Materials Scie
 nce (MEMS) (agrp_PrattSchool_MEMS)
X-BEDEWORK-IMAGE-X1:268
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END:VEVENT
BEGIN:VEVENT

CATEGORIES:Medicine
CATEGORIES:Engineering
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20251104T174013Z
DESCRIPTION:ABSTRACT:  Robotic assisted surgery (RAS) systems provide enha
 nced dexterity and precision but still require surgeons to control every 
 motion\, leading to long procedures and variable outcomes. While autonomo
 us robotics has revolutionized manufacturing and aviation\, soft tissue s
 urgery presents unique challenges including unpredictable deformations an
 d complex perception requirements. My research transforms teleoperated ro
 botic surgery into autonomous systems to improve patient outcomes through
  increased precision\, speed\, and reduced human error. This presentation
  will discuss our novel approaches to autonomous soft tissue surgery\, in
 cluding our robotic system for supervised autonomous laparoscopic anastom
 osis and our latest work: the hierarchical surgical robot transformer (SR
 T-H)\, recently published in Science Robotics\, which enables end-to-end 
 learning of complex surgical phases of procedures\n \nDR. ALEX KRIEGER is
  Associate Professor and Carol Croft Linde Faculty Scholar in Mechanical 
 Engineering at Johns Hopkins University. He leads research in autonomous 
 surgical robotics\, including the smart tissue autonomous robot (STAR) an
 d language conditioned imitation learning for surgical automation. Profes
 sor Krieger is an NSF CAREER award recipient and inventor of over thirty 
 patents licensed to companies including Intuitive Surgical\, Siemens\, an
 d Philips. Prior to Hopkins\, he held positions at University of Maryland
  and Children's National and worked in industry developing FDA-approved m
 edical devices. He earned his doctorate at Johns Hopkins\, where he pione
 ered an MRI-guided prostate biopsy robot used in over 50 patient procedur
 es.\nHOSTS: Boyuan Chen\, Xianyi Cheng\, Joanna D. Bertram
DURATION:PT1H
DTSTAMP:20251104T194753Z
DTSTART;TZID=America/New_York:20251106T090000
LAST-MODIFIED:20251104T194753Z
LOCATION;X-BEDEWORK-UID=18832e99-1f059a59-011f-14fc4b73-00000095:Old Chemi
 stry 01
STATUS:CONFIRMED
SUMMARY:Autonomous Robotic Surgery: Will Your Next Surgeon Run on Caffeine
  or 120V?
UID:CAL-8a00ec8b-979413b9-019a-4ff479cf-00005962demobedework@mysite.edu
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T
 opics/Medicine
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=cindy.canty.dumas@duke.e
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X-BEDEWORK-SPEAKER:Dr Axel Krieger
X-BEDEWORK-DUKE-SERIES:MEMS Robotic Seminar Series
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X-BEDEWORK-IMAGE-ALT-TEXT:Axel Krieger
X-BEDEWORK-SUBMITTEDBY:st305 for Mechanical Engineering and Materials Scie
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END:VEVENT
BEGIN:VEVENT

CATEGORIES:Other
CATEGORIES:Utilities
CATEGORIES:Meeting
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=18832e99-2a84ac8f-012a-85e0def0-00000038:Rauch\, Lo
 ri
CREATED:20260210T141715Z
DESCRIPTION:The Statistical Science Department encourages all to attend th
 e defense of this dissertation.
DURATION:PT2H
DTSTAMP:20260210T141715Z
DTSTART;TZID=America/New_York:20260305T080000
LAST-MODIFIED:20260210T141715Z
LOCATION;X-BEDEWORK-UID=18832e99-1f059a59-011f-14fc4b73-00000095:Old Chemi
 stry 01
STATUS:CONFIRMED
SUMMARY:Bayesian Dynamic Modeling of Multivariate Time Series
UID:CAL-8a00eca5-9af98aae-019c-47e9dfc3-000079e2demobedework@mysite.edu
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Meeting:/user/public-user/Ot
 her/Meeting
X-BEDEWORK-SPEAKER:Luke Vrotsos
X-BEDEWORK-SUBMITTEDBY:lr3 for Statistical Science (agrp_StatisticalScienc
 e)
END:VEVENT
END:VCALENDAR