Update Tobi's talk time + bio

open-neuromorphic · Apr 18, 2024 · 9bd4541 · 9bd4541
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commit 9bd4541
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/content/english/workshops/visual-place-recognition-tobias-fischer/index.md b/content/english/workshops/visual-place-recognition-tobias-fischer/index.md
@@ -2,7 +2,7 @@
 title: "Advances in Neuromorphic Visual Place Recognition"
 author: 
 - Tobias Fischer
-date: 2024-03-28
+date: 2024-04-18
 start_time: 23:00
 description: "Tobias Fischer shares advances in neuromorphic visual place recognition."
 end_time: 00:30
@@ -11,5 +11,5 @@ draft: false
 upcoming: true
 image: advances-in-neuromorphic-visual-place-rec.png
 speaker_photo: speaker.jpeg
-speaker_bio: "Tobias conducts interdisciplinary research at the intersection of intelligent robotics, computer vision, and computational cognition. My main goal is to develop high-performing, bio-inspired computer vision algorithms that simultaneously examine animals/humans and robots' perceptional capabilities. He is a Lecturer (Assistant Professor) in Queensland University of Technology's Centre for Robotics. He joined the Centre as an Associate Investigator and Research Fellow in January 2020. Previously, he was a postdoctoral researcher in the Personal Robotics Lab at Imperial College London. He received a PhD from Imperial College in January 2019. His thesis was awarded the UK Best Thesis in Robotics Award 2018 and the Eryl Cadwaladr Davies Award for the best thesis in Imperial's EEE Department in 2017-2018. He previously received an M.Sc. degree (distinction) in Artificial Intelligence from The University of Edinburgh in 2014 and a B.Sc. degree in Computer Engineering from Ilmenau University of Technology, Germany, in 2013. His works have attracted two best poster awards, one best paper award, and he was the senior author of the winning submission to the Facebook Mapillary Place Recognition Challenge 2020."
+speaker_bio: "Tobias conducts interdisciplinary research at the intersection of intelligent robotics, computer vision, and computational cognition. My main goal is to develop high-performing, bio-inspired computer vision algorithms that simultaneously examine animals/humans and robots' perceptional capabilities. He is a Senior Lecturer (US: Associate Professor) and Chief Investigator in Queensland University of Technology's Centre for Robotics. He is also a recipient of the prestigious Discovery Early Career Researcher Award (DECRA) by the Australian Research Council. He joined the Centre as an Associate Investigator and Research Fellow in January 2020. Previously, he was a postdoctoral researcher in the Personal Robotics Lab at Imperial College London. He received a PhD from Imperial College in January 2019. His thesis was awarded the UK Best Thesis in Robotics Award 2018 and the Eryl Cadwaladr Davies Award for the best thesis in Imperial's EEE Department in 2017-2018. He previously received an M.Sc. degree (distinction) in Artificial Intelligence from The University of Edinburgh in 2014 and a B.Sc. degree in Computer Engineering from Ilmenau University of Technology, Germany, in 2013. His works have attracted two best poster awards, one best paper award, and he was the senior author of the winning submission to the Facebook Mapillary Place Recognition Challenge 2020."
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