Adaptive Systems and Interaction Group
Microsoft Research, Redmond
Aerial Informatics and Robotics, Machine Learning, Computer Vision, Quantum Computing
Click here for WindFlow maps: winds aloft estimation with airplanes.
- Latest Papers and Codes:
- Safe Control Under Uncertainty with Probabilistic Signal Temporal Logic, RSS 2016
- Fast Safe Mission Plans for Autonomous Vehicles, RSS 2016 Workshop
- Scalable Semi-Supervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks, Neural Computation 2016
- Asking for a Second Opinion: Re-Querying of Noisy Multi-Class Labels, ICASSP 2016
Click here for complete publication list.
I am a researcher with the Adaptive Systems and Interaction Group at Microsoft Research, Redmond. These days I am specifically focusing on Aerial Informatics and Robotics. Specifically, I am interested in
building intelligent and autonomous flying agents that are safe and enable applications that can positively influence our society.
The core technology builds upon cutting edge research in machine intelligence, robotics and human-centered computation in order to enable an entire fleet of flying
robots that range from micro-UAVs to commercial jetliners. Varios applications scenarios include Weather Sensing, Monitoring for Precision Agriculture,
Safe Cyber-Physical Systems etc.
More broadly, I am interested in Machine Learning, Quantum Computation and Computer Vision with applications in User Modelling, Affective Computing and HCI scenarios.
I did a PhD at the MIT Media Lab and my Doctoral thesis looked at building Discriminative Models for Pattern Recognition with incomplete information (semi-supervised learning, imputation, noisy data etc.).
A significant part of that work involved automatic analysis of non-verbal behavior (e.g. Facial Action Analysis, see Master's thesis) and physiological responses. The earliest part of my research career tackled the problem of photorealistic facial animations.