• Fereshteh Bashiri PhD

  • Project Scientist I

    • Center for Precision Medicine Research
    • 1000 North Oak Ave. ML8 Marshfield, WI 54449


2013 to 2019:
Ph.D., Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI
2007 to 2009:
M.Sc., Electrical Engineering, Sharif University of Technology, Tehran, IR
2002 to 2007:
B.Sc., Electrical Engineering, Shahid Beheshti University, Tehran, IR

Work Experience

2019 to Present:
Project Scientist I, Marshfiled Clinic Research Institute, Marshfield, WI
2017 to 2019:
Research Specialist, MS-Informatics, Marshfield Clinic Research Institute, Marshfield, WI
2017 to 2017:
Research Assistant, Marshfield Clinic Research Institute, Marshfield, WI
2014 to 2017:
Teaching and Research Assistant, University of Wisconsin-Milwaukee, Milwaukee, WI
2012 to 2013:
Research Engineer, Sherkat Kontorsazi Iran, Tehran, IR

Honors & Awards

IEEE-BHI'19 Best Paper - 3rd Prize
2013 to 2017:
Dean's Fellowship, University of Wisconsin-Milwaukee
GE Healthcare Graduate Poster Competition, 3rd Place


Obtaining a PhD in Engineering with a minor in Computer Science provided Fereshteh (Azi) with skills and knowledge that serve as foundation for a career in Health Informatics. Azi is passionate about statistical analysis, machine learning and artificial intelligence to bring the best healthcare to patients. She has 5+ years of experience in industry, academia, and research, which has built up her team-work ethics and professional presentation skills.

Research Interests

Computer Vision, Machine Intelligence, Data Processing

Professional Societies

2019 to Present:
Institute of Electrical and Electronics Engineers


2018 to Present:
American Medical Informatics Association


MCIndoor: A computer vision framework to assist navigation of visually impaired people, Marshfield Clinic, Marshfield
Manifold Learning and its Applications in Health Informatics, Marshfield Clinic, Marshfield

Select Publications

  • Bashiri F, Rostami R, Peissig P, D'Souza R, Yu Z. An Application of Manifold Learning in Global Shape Descriptors. [published online ahead of print 2019 January 8]. arXiV: 1901.02508.
  • Badger J, LaRose E, Mayer J, Bashiri F, Page D, Peissig P. Machine learning for phenotyping opioid overdose events. J Biomed Inform. 2019 June; 94 :103185. PMCID: PMC6622451.
    PubMed ID: 31028874
  • Bashiri FS, LaRose E, Badger JC, D’Souza RM, Yu Z, Peissig P. Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure. Advances in Visual Computing. 2018 November 10; 11241
  • Ahmad P. Tafti, Fereshteh S. Bashiri, Eric LaRose, Peggy Peissig. Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. 2018 IEEE International Conference on Healthcare Informatics (ICHI). 2018 June;
  • Bashiri FS, LaRose E, Peissig P, Tafti AP. MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection. [published online ahead of print 2018 April]. Data Brief. 17 :71-75.
    PubMed ID: 29876376
  • Tafti AP, Assefi M, LaRose E, Badger J, Ye Z, Shimpi N,...Peissig P [including Bashiri FS, Sagheb E, McLean H.] Big data deep neural network to analyze adverse vaccine reactions. AMIA 2018 Informatics Summit. 2018 March;