Nicholas D. Lane

niclane at cs dot dartmouth dot edu

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I've moved!

In March 2011 I joined Microsoft Research Asia in Beijing China. I am a member of the Mobile and Sensing System group (MASS) directed by Feng Zhao.

What's new

Nicholas D. Lane, Ye Xu , Hong Lu , Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell and Feng Zhao, "Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (CSN)", 13th International Conference on Ubiquitous Computing (Ubicomp 2011), (Beijing, China), Sept. 2011.

Interests

Mobile phone based sensing applications and systems. Intersection of machine learning, mobile systems and computer networking.

Affiliations

I work with some great people as part of: the Mobile Sensing Group, People-Aware Computing Group, the MetroSense project, and CenceMe.

My Research

I am a 5th year PhD. student co-advised by Andrew T. Campbell and Tanzeem Choudhury at Dartmouth College. My research interests revolve around people-centric sensing applications and systems. I am an experimentalist who likes to build prototype mobile sensing systems based on well-founded computational models. I have worked on a variety of sensing platforms (e.g., mote-class sensors, mobile phones) and have experience not only in evaluating network and system performance but have conducted a number of user studies and analyzed sensor data; for example, when designing classifiers that recognize forms of human behavior. Results from my research have been published in number of conferences including ACM SenSys, ACM MobiSys, ACM UbiComp and Pervasive. I have worked on a number of aspects of people-centric sensing systems including: system architecture, applications (e.g., CenceMe), localization, calibration, sensor co-ordination and the classifiers of high level events (e.g., music is playing) from a wide range of low-level sensor modalities (e.g., audio, location, accelerometer).