MS Thesis

• Learning Problems in Transportation Network. [PDF]

2017

1. "Link Travel Time Prediction and Route Recommendation from Large Scale Endpoint Data" - S. Mridha, N. Ganguly and S. Bhattacharya, accepted as SHORT Paper in the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), Redondo Beach, California, USA. August 2017. [PDF] [BIB]

2. "Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots" - S. Mridha, S. Ghosh, R. Singh, S. Bhattacharya and N. Ganguly, accepted as SHORT Paper in the 9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Sydney, Australia. May 2017. [PDF] [BIB]

3. "CommBox: Utilizing Sensors for Real-Time Cricket Shot Identification and Commentary Generation" - A. Sharma, J. Arora, P. Khan, S. Satapathy, S. Agarwal, S. Mridha, S. Sengupta, N. Ganguly, in Demos and Exhibits Track of the 9th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India. January 2017. [Best Academic Demo] [PDF] [BIB]