Raisa Fairooz

I am a Lecturer in Computer Science and Engineering at Metropoliton University, Sylhet, Bangladesh .

My goal is to develop technologies that improve healthcare for everyone. Towards this, I design, develop, and evaluate novel data-driven technologies and AI models by rigorously studying their high-stakes and complex healthcare applications. My research is inherently interdisciplinary, and sits at the intersection of human-computer interaction (HCI), responsible AI, ubiquitous computing, and digital health. At Michigan, I am affiliated with the Human Centered Computing Lab and the Eisenberg Family Depression Center.

Much of my work has focused on developing novel passive sensing AI technologies that repurpose the behavioral and physiological data generated by consumer devices to monitor symptoms of mental illness. I have developed AI tools that model multivariate behavioral and physiological data to identify individual-specific behaviors associated with symptoms of schizophrenia and depression.

You can check out my publications on Google Scholar and connect with me on LinkedIn.