Seminars and Events

Artificial Intelligence Seminar

Healthcare AI: Digital Biomarker Discovery for Voice and Mental Disorders

Event Details

The COVID-19 pandemic has forced the adoption of digital technology and communications everywhere in our daily lives at work and home. It’s accelerating the tech areas such as cloud applications, collaboration services, and notably “digital healthcare”. Healthcare providers and patients will embrace new ways of health monitoring and diagnosis using advanced technologies based on smart wearable devices, telemedicine, and big data analytics. I will talk about our progress on digital biomarker development for voice and mental disorders classification based on the ML models trained on multimodal data (voice, language, and bio-signals) collected from clinical study participants at our collaborating hospitals. Ultimately, we aim at building a remote healthcare platform equipped with the AI software which uses the discovered digital biomarkers, that enables doctors and patients to remotely predict and manage health problems on a daily basis.

Host: Mohammad Rostami, POC: Pete Zamar


YOU ONLY NEED TO REGISTER ONCE TO ATTEND THE ENTIRE SERIES – We will send you email announcements with details of the upcoming speakers.

Register in advance for this  webinar: https://usc.zoom.us/webinar/register/WN__0VhakI6Q6i3JsasdmNWcA

After registering, you will receive an email confirmation containing information about joining the Zoom webinar.

The recording for this AI Seminar talk will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI

Speaker Bio

He currently leads a multimodal AI research group in the corporate R&D center of SK telecom (SKT), South Korea with a focus on AI for healthcare. He also oversees physical/information security products and projects for ADT Caps (a subsidiary company of SKT). He has more than 20 years of R&D experience in computer vision, machine learning, unmanned systems (air, ground, space), 2D/3D sensor fusion, human-machine interface, and video surveillance. He previously held research and management positions at HRL Laboratories (Malibu, CA), GE Global Research (Niskayuna, NY), Broad Institute of MIT and Harvard (Cambridge, MA), and several video surveillance start-ups. He led various machine learning, vision, autonomous driving R&D teams, and made successful technology transition to government customers (DARPA, IARPA) and industrial customers (General Motors and Boeing). He holds 60+ publications and 30+ issued patents. He received PhD in Computer Science from University of Maryland, College Park in 2005.