Isabel Hyo Jung Song

Song
Assistant Professor
Undergraduate Advisor

Contact Information

Phone: (415) 338-7688
Building: Thornton Hall
Room Number: 909

Advising Hours
Monday: 8:00 p.m. - 9:00 p.m.
https://sfsu.zoom.us/meeting/register/tZUqdeigrj4iHdCbXdN8lD36Gi_y4LjLjmEY


Areas of Expertise
  • Mobile Computing
  • Software Engineering
  • Entrepreneurship
  • On-device AI
  • Machine Learning

Publications
  • S. Mostafa*, Isabel HJ Song, N. Strauli**, N. Sewde**, M. Friesenhahn**, M. Usdin**, X. Jia**, “A framework for predicting progression in primary progressive multiple sclerosis using machine learning and statistical methods”, IEEE Bioinformatics and Biomedicine(BIBM), Dec. 2021. (* denotes a student that I mentored from SFSU and ** denotes staff at Genentech I collaborated with.)
  • T. Touati*, K. Okada**, Isabel HJ Song, “What makes a person obese? :An individual-level analysis of obesity”, IEEE Biomedical and Health Informatics (BHI), Jul. 2021. (* denotes a student that I mentored from SFSU, and ** denotes a SFSU faculty I collaborated with.)
  • Ja-Hee Kim**, Chanhyuk Park, Isabel HJ Song, “An Empirical Analysis of the Benefits of Agile Process”, Journal of Information Technology Services, Mar. 2021 (** denotes a visiting scholar at SFSU I collaborated with.)
  • U Khyoi Nu*, Tahar Touati*, Srushti Buddhadev*, Ruopen Sun, Matthew Smuck, and Isabel HJ Song, “Who is physically active? : Classification and analysis of Physical activity using NHANES data”, IEEE Symposium Series on Computational Intelligence, Dec 2020. (* denotes students that I mentored from SFSU.)
  • Isabel HJ Song, W. Yazar, A.Tsang*, The self-upgrading mobile application for the automatic malaria detection, 10th Annual Computing and Communication Workshop and Conference, 2020. (* denotes students that I mentored from SFSU)


Website
Dr. Song's LinkedIn