Sabine Hauert

Education

Hauert was educated at the École Polytechnique Fédérale de Lausanne (EPFL) where she was awarded Bachelor of Science, Master of Science and Doctor of Philosophy degrees.[1] During her study she participated in a student exchange program at Carnegie Mellon University (CMU).[1] Her PhD on aerial swarm robotics was supervised by Dario Floreano and Jean-Christophe Zufferey and awarded in 2010.[3][5]

Career and research

Hauert's research investigates swarm intelligence, robotics, nanomedicine and cancer.[2][6] Her work has appeared in Nature,[7] Science,[8] the European Parliament,[1] the Royal Society[8][9] and featured in mainstream media including the BBC,[10] CNN,[11] The Guardian,[12] The Economist,[13] TEDx,[14] Wired,[15] and New Scientist.[16] Hauert is president and co-founder of robohub.org, a nonprofit organization and online communication platform that brings together experts in robotics research, start-ups, business and education from across the globe.[17]

Hauert served as a member of the working group on machine learning at the Royal Society from 2015 to 2017.[9][18][19]

Awards and honours

Hauert was a member of the team that won first place at the RoboCup US Open in 2005.[1] She was a selectee at the 63rd Lindau Nobel Laureate Meeting in 2013 and was awarded a postdoctoral fellowship at MIT by the Human Frontier Science Program (HFSP) in 2011.[1]

gollark: Reduce the timestep if stuff is going very fast.
gollark: Just approximate it™.
gollark: If your things are moving too fast, just have them NOT do that?
gollark: ?????? physics ????????, of course.
gollark: Just make it check collisionness immediately after applying motion?

References
  1. "Sabine Hauert – HAUERT LAB". Hauertlab.com. Retrieved 11 November 2018.
  2. Sabine Hauert publications indexed by Google Scholar
  3. Hauert, Sabine (2010). Evolutionary Synthesis of Communication-Based Aerial Swarms. Epfl.ch (PhD thesis). Ecole Polytechnique Fédérale de Lausanne. doi:10.5075/epfl-thesis-4900. OCLC 890692372.
  4. "Dr Sabine Hauert - University of Bristol". Research-information.bristol.ac.uk. Retrieved 11 November 2018.
  5. Hauert, Sabine; Zufferey, Jean-Christophe; Floreano, Dario (2008). "Evolved swarming without positioning information: an application in aerial communication relay". Autonomous Robots. 26 (1): 21–32. doi:10.1007/s10514-008-9104-9. ISSN 0929-5593.
  6. Hauert, Sabine; Leven, Severin; Varga, Maja; Ruini, Fabio; Cangelosi, Angelo; Zufferey, Jean-Christophe; Floreano, Dario (2011). "Reynolds flocking in reality with fixed-wing robots: Communication range vs. Maximum turning rate". 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 5015–5020. doi:10.1109/IROS.2011.6095129. ISBN 978-1-61284-456-5.
  7. Russell, Stuart; Hauert, Sabine; Altman, Russ; Veloso, Manuela (2015). "Robotics: Ethics of artificial intelligence". Nature. 521 (7553): 415–418. Bibcode:2015Natur.521..415.. doi:10.1038/521415a. ISSN 0028-0836. PMID 26017428.
  8. Wessel, Lindzi (2017). "When will I have my sidekick robot?". Science. doi:10.1126/science.aal0804. ISSN 0036-8075.
  9. "Sabine Hauert - Royal Society". Royalsociety.org. Retrieved 11 November 2018.
  10. "Can my computer recognise my cat?". BBC Guides. Retrieved 11 November 2018.
  11. "How swarm technology could help fight cancer - CNN Video". Edition.cnn.com. Retrieved 11 November 2018.
  12. Seager, Charlotte (2016). "Will jobs exist in 2050?". theguardian.com. The Guardian.
  13. "Hunting as a pack". The Economist. Retrieved 11 November 2018.
  14. "Robots to nanoparticles: Engineering swarms to fix global problems - Sabine Hauert - TEDxExeterSalon". YouTube. 28 November 2017. Retrieved 11 November 2018.
  15. Piesing, Mark (2015). "Swarm engineer Sabine Hauert to fight cancer with a trillion killer nanobots". Wired UK.
  16. Hodson, Hal. "Gamers unleash swarms of nanoparticles on tumours". Newscientist.com. Retrieved 11 November 2018.
  17. "Robohub - Connecting the robotics community to the world". Robohub.org. Retrieved 11 November 2018.
  18. Donnelly, Peter (2017). Machine learning: the power and promise of computers that learn by example. Royalsociety.org. London. ISBN 9781782522591. OCLC 1016323791.
  19. "Machine Learning Working Group". Royalsociety.org. London: Royal Society. Retrieved 11 November 2018.
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