I am a Ph.D. student in Computer Science at Stony Brook University, advised by Dr. Ritwik Banerjee. My current research interest considers the general area of Natural Language Processing, particularly Tracking Semantic Change in Medical Information.

Prior to joining Stony Brook, I completed my M.Sc. degree at Bilkent University in Turkey. I conducted research on A Privacy-Preserving Solution for the Bipartite Ranking Problem on Spark Framework for my master thesis under the supervision of Prof. Altay Guvenir.

Recent News:

• Internship at Clinacuity Summer 2020
  Participating in the development of software tools to enable linking of de-identified clinical data belonging to the same patient. This includes software implementing patient identifiers retrieval and normalization, phonetic name encoding implementation, and cryptographic hashing with a private salt.
• Awarded Scholarship to attend ACL 2020, and Tapia 2020.

Publications:

•  Poster: Clinical Semantic textual similarity using Transfer Learning combining Deep and Shallow Learning Techniques
  • Noushin Salek Faramarzi, Nikhil Siddhartha, Chaoyuan Zuo, Ritwik Banerjee, n2c2/OHNLP workshop (2019)
• Classifying Time-Varying Complex Networks on the Tensor Manifold
• A Privacy-Preserving Solution for the Bipartite Ranking Problem
  • Noushin Salek Faramarzi, Erman Ayday, and Altay Guvenir,5th IEEE International Conference on Machine Learning and Applications, 375-380 (2016)
• Distributing of Patterns in Cutter Machines Boards Using Learning Automata
  • Farhad Fathy, Nooshin Salek, Yosef Masoudi, and Esmaeil Laleh, Communication Systems and Network Technologies (CSNT) IEEE , 774-777 (2013)