I direct the People-Aware
Computing group, which works on
developing machine learning techniques for systems that can reason
about human activities, interactions, and social networks in everyday
environments.
I received my Ph.D. degree from the Media Laboratory
at the Massachusetts Institute of Technology (MIT). As part of my
doctoral
work, I created the
sociometer and conducted the first experiment that uses mobile sensors
to model social networks, which led to a new field of research referred
to as Reality
Mining. I hold a B.S. in electrical engineering
from the University
of Rochester, and M.S. from the MIT Media Laboratory.
Recent
news
We won! The Heritage open mHealth $100K Challenge
Economist article on Teaching old microphones new tricks
Nova's The Secret Life of Scientists and Engineers
People Aware Computing's new group webpage
I am teaching Ubiquitous Computing (INFO 4120/6120) in Spring'13 - offered at Cornell for the first time!
BeWell released on Google Play.
Postdoc position available: Forecasting Critical Societal Events.
New AAAI paper: Towards Population Scale Activity Recognition: A Scalable Framework for Handling Data Diversity.
Featured in NYTimes Magazine: The Little Voice in Your Head.
Fast Company's Co.Exist piece on An App That Reads Your Feelings Through Your Voice
Our work featured on Cornell Chronicle Monitoring mental health from your pocket
Presented our work on Voice Patterns: How can mobile phones improve people's lives?
Our work on NeuralPhone featured in NYTimes Magazine: The Cyborg in Us All.
Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (CSN) paper nominated for best paper.
As of July 1, 2011 I will be joining Cornell as Associate Professor in the Information Science department. I will be part of both Information Science and Computer Science graduate fields and am looking forward to advising students in both departments. I will still be affiliated with the Dartmouth CS department as adjunct faculty.
SmartPlanet Interview: With People Aware Machines, Human Behavior Benefits
Write-up about Jigsaw continous sensing engine Smartphone
app monitors your everymove
Earthsky Interview: Cellphone apps to track our health
Selected
an one of the PopTech Science and Public Leadership Fellows
New NSF EAGER grant
funded. Brain-Mobile
Interfaces: Exploratory Research into the Development of Networked NeuroPhones with Prof. Campbell
and Prof. Raizada.
New SenSys 2010 paper titled The Jigsaw Continuous Sensing Engine for Mobile phone
Applications -- joint work with Mobile Sensor Group
New brain mobile interface project with Prof. Campbell and Prof. Raizada. Check out the recentc write-up and the NeuroPhone video
New AAAI 2010 papers --
- Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models (oral + poster)
- Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior (oral)
New MobiSys 2010 paper titled Darwin Phones: The Evolution of Sensing
and Inference
on Mobile Phones -- joint work with Mobile Sensor Group
Selected as one of
the
TEDIndia
2009 Fellows
My group was invited to present at the US Senate as part of an NSF hosted event on Cyber Physical Systems. Link to our poster and video
New video and Technology Review article on Soundsense - joint work with Sensorlab
SoundSense slashdotted. Cell Phones That Learn the Sounds of Your Life
Recipient of National Science Foundation Faculty Early Career Development Award (NSF CAREER)
Named one of MIT Technology Review's TR 35 for 2008: Top 35 innovators under the age of 35Older news ...