Helmholtz AI virtual conference 2021
14-15 April 2021
In a data-based future, it will be key to democratise access to AI to maximise research impact.
We want to show you how.
Join us to meet method and domain specialists with a shared interest in AI, learn more about the Helmholtz AI initiatives, discuss use cases in applied AI/ML and expand your network.
REGISTRATION COMING SOON - STAY TUNED!
14-15 April 2021
|TIME||14 APRIL 2021||15 APRIL 2021|
|15:00||Opening remarks||PhD elevator pitch competition|
|15:10||Helmholtz AI in 2021|
|17:00||Keynote lecture: Bernt Schiele||Keynote lecture: Mihaela van der Schaar|
|17:45||Cocktail party / Speed networking||Poster session / Networking lounge|
|18:45||End of day 1||End of day 2|
Max Planck Director at MPI for Informatics & Professor at Saarland University
Bernt Schiele has been Max Planck Director at MPI for Informatics and Professor at Saarland University since 2010.
He studied computer science at the University of Karlsruhe, Germany. He worked on his master thesis in the field of robotics in Grenoble, France, where he also obtained the "diplome d'etudes approfondies d'informatique". In 1994 he worked in the field of multi-modal human-computer interfaces at Carnegie Mellon University, Pittsburgh, PA, USA in the group of Alex Waibel. In 1997 he obtained his PhD from INP Grenoble, France under the supervision of Prof. James L. Crowley in the field of computer vision. The title of his thesis was "Object Recognition using Multidimensional Receptive Field Histograms". Between 1997 and 2000 he was postdoctoral associate and Visiting Assistant Professor with the group of Prof. Alex Pentland at the Media Laboratory of the Massachusetts Institute of Technology, Cambridge, MA, USA. From 1999 until 2004 he was Assistant Professor at the Swiss Federal Institute of Technology in Zurich (ETH Zurich). Between 2004 and 2010 he was Full Professor at the computer science department of TU Darmstadt.
Image source: Max Planck Institute for Informatics
Mihaela van der Schaar
John Humphrey Plummer Professor of Machine Learning, AI and Medicine, University of Cambridge
Mihaela van der Schaar
Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA.
Mihaela was elected IEEE Fellow in 2009. She has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award.
Mihaela’s work has also led to 35 USA patents (many widely cited and adopted in standards) and 45+ contributions to international standards for which she received 3 International ISO (International Organization for Standardization) Awards.
In 2019, she was identified by National Endowment for Science, Technology and the Arts as the most-cited female AI researcher in the UK. She was also elected as a 2019 “Star in Computer Networking and Communications” by N²Women. Her research expertise spans signal and image processing, communication networks, network science, multimedia, game theory, distributed systems, machine learning and AI.
Mihaela’s research focus is on machine learning, AI and operations research for healthcare and medicine.
In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM).
Use case speakers
PhD elevator pitch competition
We're looking for the coolest Helmholtz data science PhD students!
Submit a three-minute video of your thesis project and get the chance to present it live at the Helmholtz AI virtual conference. The best three will also get an extra prize.
More information & instructions for participants coming soon
Virtual poster session
For the Helmholtz AI virtual conference 2021, the Poster Session will have two parts: an asynchronous Twitter session and a synchronous virtual session.
More information & instructions for authors coming soon