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group:srashidian [2018/12/07 15:13]
srashidian
group:srashidian [2020/05/02 12:20] (current)
srashidian
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 ===== Sina Rashidian ===== ===== Sina Rashidian =====
  
-{{:group:sina_rashidian_-_profile_pic.jpg?200  }}+{{:group:nechs-poster_2_.jpg?270  }}
  
   * Ph.D. student, Computer Science, Stony Brook University   * Ph.D. student, Computer Science, Stony Brook University
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 —- —-
  
-I'​m ​fourth ​year PhD candidate 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.+I'​m ​fifth year PhD candidate 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 {{:​group:​sina_rashidian_grad_cv_dec2018.pdf|here}}.  \\ My CV is available {{:​group:​sina_rashidian_grad_cv_dec2018.pdf|here}}.
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 ---- ----
  
-=== Projects: ​===+===   ​===
  
-[[:easergeocoder:​index|EaserGeocoder]]+**Highlights of my PhD journey:**
  
-**Publications:**+  ​April 2020, I won the **grand prize** ​ for Graduate Student Employee of the Year 2020!!!!! I wrote a long post on my LinkedIn about this amazing honor. Anyhow, do not miss [[https://​www.youtube.com/​watch?​v=hMOOaJIKZiI|this 2 miniutes and 32 seconds video]], it is a must watch :D 
 +  * June 2019, “Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records” is accepted at AMIA 2019 Annual Symposium. 
 +  * June 2019, Unfortunately,​ due to unreasonably long processing time of export licenses these days, I cannot make it to my summer internship position at Verily. 
 +  * April 2019, presenting my recent findings "Using AI to Optimize Methods for Decision Support for Population Health: A Diabetes Case Study" at 3rd NorthEast Computational Health Summit (NECHS) 2019. 
 +  * March 2019, “Geographic,​ temporal, and sociodemographic differences in opioid poisoning” is accepted at American Journal of Preventive Medicine (AJPM) journal. 
 +  * Jan 2019, Happy to announce I accepted an internship position at Verily for incoming summer. 
 +  * Nov 2018, "​Disease phenotyping using deep learning: A diabetes case study" is accepted at Machine <font inherit/​inherit;;​inherit;;​inherit>​Learning for</​font> ​   <font inherit/​inherit;;​inherit;;​inherit>​Health (ML4H) workshop at NeurIPS</​font> ​   <font inherit/​inherit;;​inherit;;​inherit>​2018.</​font>​ 
 +  * Oct 2018, Winning Mount Sinai Health Hackathon on rare diseases as the EyeCanDo team. You can see the [[https://​youtu.be/​8sXi_J4Ri0E|demo]] and [[https://​www.youtube.com/​watch?​v=pD0hlQ_V-ns&​t=13s|the moment we win the award + our speech]]. 
 +  * <font inherit/​inherit;;​inherit;;​inherit>​Sept 2018, "Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy"​ is accepted at AMIA Informatics Summit 2019.</​font>​ 
 +  * <font inherit/​inherit;;​inherit;;​inherit>​Sept 2018, "​EaserGeocoder:​ Integrative Geocoding with Machine Learning"​ is accepted at ACM SigSpatial 2018.</​font>​ 
 +  * <font inherit/​inherit;;​inherit;;​inherit>​Sept 2017, "​Effective Scalable and Integrative Geocoding for Massive Address Datasets"​ is accepted at ACM SigSpatial 2017.</​font>​ 
 +  * <font inherit/​inherit;;​inherit;;​inherit>​Aug 2017, I have successfully defended my research proficiency exam (RPE). Committee membersDr. Fusheng Wang, Dr. Paul Fodor, Dr. Niranjan Balasubramanian.</​font>​ 
 +  ​<font inherit/​inherit;;​inherit;;​inherit>​Aug 2015, Special Computer Science Department Fellowship.</​font>​ 
 +  ​<font inherit/​inherit;;​inherit;;​inherit>​Aug 2015, Starting my PhD at Stony Brook University!</​font>​
  
-  * //Disease phenotyping using deep learning: A diabetes case study//. \\ **Sina Rashidian**,​ Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly M. Noel, Rajarsi R. Gupta, Mathew A. Tharakan, Joel H. Saltz, Mary M. Saltz. To Appear in Machine Learning for Health (ML4H) Workshop at NeurIPS (NIPS) 2018. December 8, 2018, Montreal, Canada. [[https://​arxiv.org/​pdf/​1811.11818.pdf|pdf]] 
-  * //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. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. November 6 - 9, 2018, Seattle, Washington, USA.{{:​projects:​easergeocoder-_5fw.pdf|[poster]}} [[https://​dl.acm.org/​citation.cfm?​id=3274929|[link]]] 
-  * //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. [[https://​dl.acm.org/​citation.cfm?​id=3139986&​CFID=1017842506&​CFTOKEN=87100969|[link]]]{{:​projects:​geocoding-presentation-final.pdf|[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. [[http://​www.sciencedirect.com/​science/​article/​pii/​S0378437115001363|[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. [[http://​aip.scitation.org/​doi/​full/​10.1063/​1.4908605|[link]]] 
 === External Links: === === External Links: ===