EYES ON THE ROAD ondemand_video description
Detecting Phone Usage by Drivers Using On-Device Cameras
BIO
He is a PhD candidate of Human-Computer Interaction at Carnegie Mellon University who builds seamless interactive experiences driven by his work in human-centered AI and sensing approaches, novel interactions, and reimagining consumer devices. He primarily builds automated systems with commodity sensors for detecting and tracking user activities and behaviors in domains like healthcare, situational impairments, and device interactions. Throughout his Ph.D., he has developed and deployed several systems that have led to over 10 publications, with several more in review, and have won Best Paper Awards in premiere CS and HCI venues such as CHI and Ubicomp (IMWUT). To build and deploy these systems, he draws from a diverse set of skills including computer vision, applied machine learning, signal processing, mobile computing, HCI and interface design.
He also values ideas and enjoys the process of idea curation and cultivation. If you have an interesting idea, get in touch. He would love to hear about it!
PORTFOLIO
BEYOND THE PROTOTYPE description
Understanding the Challenge of Scaling Hardware Device Production
DETACHABLE SMARTWATCH ondemand_video description
novel interactions and affordances of a detachable watch.
GYMCAM ondemand_video description
in-the-wild automated exercise detection, tracking and recognition.
SMARTWATCH EXERTION description
upper bound on smartwatch use before exertion impacts usability.
SPRITEs ondemand_video description
non-visual interactions for easier web access.
CO-WORKERS AREN'T YOUR USERS description
effects of using employees as usability participants.
NECKGRAFFE description
gamified postural awareness system.
ACOUSTIC COVERT CHANNELS description
proposed defenses against acoustic covert channels.
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