Saeed Abdullah

Saeed Abdullah
ASSISTANT PROFESSOR, Information Sciences & Technology

Abdullah's human-centric research spans the domains of ubiquitous computing, data science, and pervasive health technologies. He is particularly interested in developing novel assessment and intervention methods to support health and well-being. He is also exploring data-driven tools for long-term user engagement and adherence, which is crucial for the success of mHealth systems.

In recent years, he has designed, developed, and deployed ubiquitous and data-driven systems across a diverse set of domains: sleep, cognitive performance, creativity, and serious mental illnesses such as bipolar disorder and schizophrenia. 

Ph.D., Cornell University, Information Science, 2017
M.S., Cornell University, Information Science, 2014
M.S., University of Vermont, Computer Science, 2011
B.S., Bangladesh University of Engineering & Technology, Computer Science & Engineering, 2007
Research Interests: 
Pervasive health technologies, mHealth (use of mobile/wireless technology in medical care), ubiquitous computing, mental health, bipolar disorder, schizophrenia, sleep, circadian rhythms