Parisa Rashidi

I am a assistant Professor at Northwestern University. My research interests include applying data mining and machine learning techniques to various health informatics and assisted living problems.

Besides information about me, you can find some useful links such as publicly available machine learning and data mining e-books here, as well  as various data mining datasets here.

Contact me at:
parisa.rashidi (at sign) northwestern (another dot) edu
 Parisa Rashidi
Parisa Rashidi

Latest News

Organizing AAAI Fall Symposium on "Gerontechnology & AI":

I am co-chairing the AAAI Fall symposium on "Gerontechnology & AI". Fall Symposium Series will be held Friday through Sunday, November 2–4 at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The symposium will bring together researchers working on various artificial intelligence aspects of gerontechnology in order to highlight the current challenges, as well as to identify the future grand challenges.


Organizing SAGAware Workshop at UbiComp 2012:

I am chairing the workshop on "Situation, Activity, and Goal Awareness" at Ubiquitous Computing conference (Ubicomp 2012). The workshop will be held September 8 at the Marriot in Pittsburg, PA. It bring together researchers and practitioners from relevant fields to present and disseminate the latest accomplished and/or ongoing research on Situation, Activity and Goal Awareness (SAGAware) and their novel application in ubiquitous computing.


Tutorial Speaker at IHI 2012:

I am giving a tutorial on  "Assisted Living Technologies for Older Adults" at 2012 International  Health Informatics Symposium at Miami, FL. Visit this link: Tutorials at IHI 2012.

"Assisted Living Technologies for Older Adults" Tutorial

This tutorial will explore intelligent technologies and methods that can help health care professionals to provide better quality care for the older adults, monitor their health conditions in place, as well as technologies that allow the older adults to live more independently. It will highlight current challenges and important future directions in the field. It will also cover a number of successful case studies such as smart homes and intelligent reminder systems.