Hong Lu 卢　弘

hong at cs dot dartmouth dot edu

What's New


My google scholar citation page is up here.

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

SpeakerSense: Energy Efficient Unobtrusive Speaker Identification on Mobile Phones Hong Lu, A.J. Bernheim Brush, Bodhi Priyantha, Amy Karlson, Jie Liu. Pervasive 2011.[Best Paper Nominee]

About me


I am a fifth year Ph.D. student in the Department of Computer Science at Dartmouth College, working with Prof. Andrew T. Campbell and Prof. Tanzeem Choudhury. I am part of: the Smartphone Sensing Group, the People-Aware Computing group and CenceMe Team. I got my bachelor and master degrees from the department of Computer Science, Tianjin University, Tianjin, China.

I spent a summer (June. - Sept. 2010) at Microsoft Research(MSR), Redmond, working on an energy efficient continuous speaker identification system for smart phones. Prior to MSR, I interned twice (June. - Sept. and Oct. - Dec. 2009) at Nokia Research Center, Palo Alto, working on human activity recognition and mobile sensing framework for smart phones. The outcomes of these internships are summarized in my Sensys 2010 and Pervasive 2011 papers, respectively.

I have been TPC member of the MobiSense Workshop, co-located with Pervasive 2011.

My Research Interests


Area: pervasive computing, context awareness, mobile inference system and human behavior modeling

My research focuses on developing mobile inference system for smart phones, which allow the phone to observe, understand, and even predict people’s activities, social interaction, surroundings and life patterns. My primarily interest is pushing AI into mobile applications for modeling and analyzing the phone user's context and behaviors. I built prototype mobile applications based on a variety of mobile platforms (e.g., Apple iPhone, Nokia N95/N900, Google Android). I have experience on various domains of mobile sensing systems including: embedded sensors (e.g., Mic, location, accelerometer and gyro), system architecture, power management, data analysis and, most importantly, multi-modality human behavior inference. My research papers appeared in a number of top conferences including MobiSys, Pervasive, Sensys, and AAAI.

Press & News


Neural Phone is featured in The next step in bionics, CBS News Sunday Morning ,October 2011.
Neural Phone is featured in The Cyborg in us all, the NYTimes Magazine, September 2011.
Nokia toys with context-aware smartphone settings switch, Jigsaw provides better context for apps like this, Engadget front page story, Nov 27th 2010.
Smartphone app monitors your every move, ACM TechNews, December 1, 2010.
Smartphone app monitors your every move,New Scientist, 26 November 2010.
Mobile Phone Mind Control, technologyreview, March, 2010.
Cell phones that listen and learn, technologyreview, June, 2009.
Cell Phones That Learn the Sounds of Your Life, slashdot front page, July, 2009