Sina Rashidian

ASCII

  • Ph.D. student, Computer Science, Stony Brook University
  • Research area:
    • Data Analytics
    • Machine Learning/Deep Learning
  • Contact: Old CS 2212
  • Email: srashidian [at] cs.stonybrook.edu

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I'm fourth year PhD student at the Department of Computer Science in Stony Brook University. I am privileged to work under the supervision of Prof. Fusheng Wang. I received my B.S. in Software Engineering from Sharif University of Technology, Iran.


My CV is available here.


Projects:

EaserGeocoder

Publications:

  • Disease phenotyping using deep learning: A diabetes case study. Sina Rashidian, Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Xin, Kayley Abell-Hart, Kimberly M. Noel, Rajarsi R. Gupta, Mathew A. Tharakan, Joel H. Saltz, Mary M. Saltz. To Appear in the Proceedings of NIPS 2018 Workshop on Machine Learning for Health (NIPS ML4H 2018). December 8, 2018, Montreal, Canada.
  • Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy. Sina Rashidian, Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Kimberly M. Noel, Rajarsi R. Gupta, Mathew A. Tharakan, Joel H. Saltz, Mary M. Saltz. To appear in AMIA 2019 Informatics Summit. March 25 - 28, 2019, San Fransisco, California, USA.
  • EaserGeocoder: Integrative Geocoding with Machine Learning. Sina Rashidian, Xinyu Dong, Shubham Kumar Jain and Fusheng Wang. To appear in Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. November 6 - 9, 2018, Seattle, Washington, USA.[poster]
  • Effective Scalable and Integrative Geocoding for Massive Address Datasets. Sina Rashidian, Xinyu Dong, Amogh Avadhani, Prachi Poddar and Fusheng Wang. In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. November 7 - 10, 2017, Redondo Beach, California, USA. [link][slides]
  • Noise-Tolerant Model Selection and Parameter Estimation for Complex Networks. Sadegh Aliakbary, Sadegh Motallebi, Sina Rashidian, Jafar Habibi, and Ali Movaghar. In Physica A: Statistical Mechanics and its Applications Volume 427, 1 June 2015, Pages 100112. [link]
  • Distance Metric Learning for Complex Networks: Towards Size-Independent Comparison of Network Structures. Sadegh Aliakbary, Sadegh Motallebi, Sina Rashidian, Jafar Habibi, and Ali Movaghar. In Chaos: An Interdisciplinary Journal of Nonlinear Science Volume 25, Number 2, 2015. [link]