Spring 2017 UnifyID AI Fellowship

Fellowship Projects:

• Position invariant transformation of walking data using IMU sensors

• Rapid iteration and device-dependent benchmarking of Deep-Net Tensorflow models in the Android ecosystem

• Rapid client model adaptation schemes

• Alpha-seeding for outlier detection techniques

• Data compression based pre-processing for outlier detection in high-dimensional feature sets

• Fake News challenge

• Training Recurrent Neural Networks with binary weights

• Optimal UI/UX techniques to allay privacy concerns about passive authentication