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

SMARTWATCH EXERTION     description

upper bound on smartwatch use before exertion impacts usability.

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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