Bio:
Negar Golestani is a Ph.D. student in the
Ming Hiseh Department of Electrical Engineering at the University of Southern California (USC). She works at USC as a Research Assistant under the guidance of Prof. Moghaddam. She received her B.S. in Electrical Engineering from the Isfahan University of Technology, Iran in 2013. Upon graduation, she conducted several research projects in medical image and signal processing for breast cancer detection at the Medical Image and Signal Processing center (MISP), Iran. Her research interests are body area networks, medical imaging, medical image, and signal analysis.
Education:
- Ph.D., Electrical Engineering, 2014 -2020 (Expected).
University of Southern California, Los Angeles, CA - M.Sc., Computer Science, 2018-2019.
University of Southern California, Los Angeles, CA - M.Sc., Electrical Engineering, 2014-2017.
University of Southern California, Los Angeles, CA - B.Sc., Electrical Engineering, 2009-2014.
Isfahan University of Technology, Isfahan, Iran
Research Interest:
- Wireless Body Area Network
- Machine Learning
- Digital Signal and Image Processing
Research Publications:
N. Golestani, M. EtehadTavakol, E.Y.K. Ng, “Level Set Method for Segmentation of Infrared Breast Thermograms”, EXCLI Journal 2014; 13:241-251