In 2012, Qualcomm Research established a fellowship program in Europe following the successful model in the U.S. For 2021 the program in Europe will be run as a single competition where students from all invited universities in Europe compete. Each winning student receives a fellowship in the amount of $40,000 for the upcoming academic year and is assigned a Qualcomm researcher as a mentor to facilitate close collaboration and interaction with Qualcomm’s corporate research center. The European winners are also invited to join the U.S. winners day at the Qualcomm headquarter in San Diego, CA.
We believe that research and development is the key to harnessing the power of imagination and to discovering new possibilities. We are excited to announce a new kind of Fellowship that promotes Qualcomm’s core values of innovation, execution and partnership. Our goal is to enable students to pursue their futuristic innovative ideas.
“Investment in R&D is a top priority at Qualcomm as innovation makes our technology possible. It’s exciting to see the next generation of AI and Cybersecurity researchers creating such impactful technology. "
- Jim Thompson, executive vice president and chief technology officer, Qualcomm, Inc.
We received 42 proposals and enjoyed reading about your innovative ideas. After careful consideration we have selected the following 14 proposals as finalists.
|EPF Lausanne||Perceptual Adversarial Training for General Robustness||Maksym Andriushchenko||Nicolas Flammarion|
|EPF Lausanne||Rebooting Virtual Memory with Midgard||Siddharth Gupta||Babak Falsafi, Abhishek Bhattacharjee|
|ETH Zurich||Perception and Control of Drones for Landing on Compliant Branches||Emanuele Aucone||Stefano Mintchev|
|ETH Zurich||Learning for Perceptual Video Compression with Generative Model||Ren Yang||Dr. Radu Timofte, Luc Van Gool|
|Max Planck Institute||Modelling Human Interactions in 3D Scenes||Bharat Lal Bhatnagar||Gerard Pons-Moll, Bernt Schiele|
|TU Darmstadt||Targeted Attacks on Touchscreens without Physical Touch using EMI||Richard Mitev||Ahmad-Reza Sadeghi|
|TU Delft||Evolutionary Algorithms for the Evolution of Deep Learning-based Side-channel Attacks||Marina Krček||Stjepan Picek|
|University of Cambridge||Neural Koopman Operators, Convergence and Generalisation in Neural Networks||Francisco Vargas||Neil Lawrence, Ryan Coterell|
|University of Cambridge||Non-Parametric Normalizing Flows for Sample Efficient Density Estimation||Gergely Flamich||Jose Miguel Hernandez-Lobato|
|University of Cambridge||Diversity-encouraging Priors for Cheap but Well-calibrated Uncertainty in Deep Learning||James Allingham||José Miguel Hernández-Lobato|
|University of Cambridge||Second Order Methods for Quantized Neural Networks||Javier Antorán||José Miguel Hernández-Lobato|
|University of Cambridge||Model-based Representation Learning||Weiyang Liu||Adrian Weller|
|University of Oxford||A Fully Probabilistic Theory of Autonomous Decision Making||Tim Georg Johann Rudner||Yarin Gal, Sergery Levine|
|Vrije Universiteit Amsterdam||Continuous Kernel Convolution For ML||David Romero||Jakub Tomczak, Mark Hoogendoorn|
Congratulations to the students who qualified as finalists!
The Qualcomm Innovation Fellowship began in 2009, and has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally. Take a look at a list of all our fellowship winners and finalists from years past: