Speaker

Ramya Raghavendra

Research Scientist, IBM

Ramya Raghavendra is a research scientist in IBM Research working on Distributed Cognitive Systems research. She received her MS (2009) and PhD (2010) in Computer Science from University of California, Santa Barbara where she was awarded the Outstanding Graduate Student award, Grace Hopper fellowship, and ACM Student Research award. Currently, her work involves building systems, runtimes, and algorithmic support for Big Data and Analytics, with a focus on applying machine-learning techniques to solve enterprise problems. Ramya is the recipient of IBM Outstanding Technical Achievement Award(2017), Master Inventor award (2015), has published over 20 peer-reviewed publications and over 24 patents.

Sessions

Improving Traffic Prediction Using Weather Data

As common sense would suggest, weather has a definite impact on traffic. But how much? And under what circumstances? Can we improve traffic (congestion) prediction given weather data? Predictive traffic is envisioned to significantly impact… Read more