Sohini Roychowdhury

Affiliate Assistant Professor      
Department of Electrical and Computer Engineering,
Division of STEM,
University of Washington-Bothell.

I joined the Department of Electrical and Computer Engineering in the Engineering and Mathematics Division at the University of Washington-Bothell from September 2014. Prior to that I received my Ph.D. in Electrical and Computer Engineering from University of Minnesota, Twin Cities in August 2014 (under the joint supervision of Prof. Keshab K. Parhi and Dr. Dara Koozekanani), and M.S. from Kansas State University in May 2010 (under the joint supervision of Prof. Caterina Scoglio and Prof. William Hsu).

I have worked on inter-disciplinary projects that range from epidemic spread networks to information extraction from medical images. My research interests include digital signal processing, medical imaging, machine learning, artificial intelligence, bio-medical engineering, graph theory and stochastic processes. I am eager to work on new collaborative projects pertaining to engineering optimal solutions to bio-medical and medical problems.

I am constantly working on new research projects and mentoring undergraduate ad graduate research students. If you have great coding and analytical skills and are motivated to make a difference in the research community, or gain first hand research experience, email me your resume at: Please include the project name in your email title that you are specifically interested in working.

Currently, I serve on the Technical Committees of IEEE EMBS-BIIP and on IEEE Healthcare and Medical Systems
Here are the EMBS Conference websites for 2016:  IEEE EMBC 2016, IEEE ISBI 2016, IEEE SPIN 2016
Additionally, I have served on multiple NSF panels since 2015.

  • Congratulations to Paul Hage for winng the Prestigious Mary Gates Scholarship 2017! In the news
  • Congratulations to Johnny Ren for becoming the 1st  MSEE Thesis graduate from UWB! Story on FB
  • Accepted IEEE Access journal on Microsoft Azure Machine Learning Research:
Details at :MAMLS@MIPS Labs
  • Session Chair at IEEE EMBC 2016. (August, 2016).
  • Microsoft Azure Machine Learning Research Award, 2016-2017.
  • PI on University of Washington Royalty Research Fund Award, 2016.
  • Microsoft Azure Educator Grant Award, 2016.
  • S. Roychowdhury. "Facial Expression Detection using Patch-based Eigen-Face Isomap Networks". Presentation at IJCAI HINA 2015. Online Talk
  • Matthew Bihis, Nathan Gubala, Vinh Le, Devin Nakahara, Sohini Roychowdhury. "Generalized Flow for Microsoft Azure Machine Learning Platform". Microsoft Azure Machine Learning Platform-based Research
  • NASA UW Summer Undergraduate Research Program Mentor (June-Aug 2015).
  • Microsoft Azure Machine Learning Research Award, 2015-2016.
  • PI on UWBIG Grant for Data Analytics Initiative for Medical Image Big Data, 2015.
  • UWB Founders Fellow Award, Mary Gates Award mentor for Undergraduate Research 2015-2016.
  • Technology Research Panelist on Symposium for Educating Young Eyes. University of Washington Bothell. November 2014 (Symposium 2014).
  • September 2014 Issue of IEEE Journal of Biomedical Health Informatics features the Cover Article:  DREAM: Diabetic Retinopathy Analysis using Machine Learning

Other Links
Medical Image Processing Systems Labs (MIPS Labs).Research (MIPS Labs)