I am a Research Scientist at Lyft, and a member of Mapping Team. At Lyft, I work on time estimation, or as it is called, the ETA problem. Previously, I was a PhD student in Computer Science at Ohio State University, and was advised by Prof. Rajiv Ramnath, Prof. Srinivasan Parthasarathy, and also Prof. Arnab Nandi (Columbus, Ohio 2019). My research interests are applied machine learning and data mining, where I enjoy developing and applying advanced models to address a variety of challenges in application domains such as telematics and transportation, spatiotemporal data mining, user behavior study, question-answering systems, and natural language processing. I also have a master’s degree in Computer Software Engineering from University of Tehran, advised by Prof. Maseud Rahgozar (Tehran, Iran 2012), and a bachelor in Computer Science from Shahid Beheshti University (Tehran, Iran 2009).
Moosavi, Sobhan, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, and Rajiv Ramnath. “Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights” To appear in proceedings of the 27th ACM SIGSPATIAL, International Conference on Advances in Geographic Information Systems. ACM, 2019.
Moosavi, Sobhan, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, and Rajiv Ramnath. “Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data.” Proceedings of the 25th ACM SIGKDD, International Conference on Knowledge Discovery & Data Mining. ACM, 2019.
Sun, Jiankai, Sobhan Moosavi, Rajiv Ramnath, and Srinivasan Parthasarathy. “QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites.” Proceedings of the 12th AAAI ICWSM, International Conference on Web and Social Media. AAAI, 2018.
Please check my Google Scholar page to see the full list of publications.
Please check here to see the latest released datasets.
Curriculum Vitae (CV)
Please visit here for my up-to-dated CV.