Hong Lu 卢 弘

hong at cs dot dartmouth dot edu


What's New

  • I am serving as Posters/Demos Co-Chairs of Mobisys 2014, and I am on the TPC for DMSS 2014, EUC 2014, and S-CUBE 2014, please consider contribute to these conferences.
  • I joined Intel Labs as a research scientist.
  • My Google Scholar page is up here.
  • About me

    I am a research scientist at Intel Labs. I received my Ph.D. degree from the Department of Computer Science at Dartmouth College. My Ph.D. advisors are Prof. Andrew T. Campbell and Prof. Tanzeem Choudhury. As part of my doctoral work, I created the SoundSense system, which is the first ubiquitous sound classification system for smart phones. My work on SoundSense, Jigsaw, and StressSense laid the foundation of the mobile health monitoring application, BeWell. I hold bachelor and master degrees in Computer Science from Tianjin University, Tianjin, China.

    I have been TPC member of 10th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2013), Nokia Mobile Data Challenge (MDC), and the MobiSense 2011.

    My Research

    Area: mobile phone sensing, mobile ubiquitous computing, context awareness, social computing, and wireless sensor network.

    I am an experimental computer scientist working on people-centric sensing systems and applications. I work on developing machine learning techniques and mobile systems that can reason about human activities, social interactions and context in everyday environments. My recent research focuses on developing mobile inference system for smart phones, which allow the phone to observe, understand, and extract human behavioral information from sensor data collected from individual users or crowdsourced from social networks. I built prototype mobile applications based on a variety of mobile platforms (e.g., Apple iPhone, Nokia N95/N900, Google Android). I have experience across various domains of mobile sensing systems including: embedded sensors, system architecture, power management, big data analysis, mobile social computing, and human behavior inference. Results from my research have been published in a number of top conferences including MobiSys, Ubicomp, Pervasive, Sensys, and AAAI.

    My h-index is 18 according to Google Scholar.

    Press & News

     TheEconomistLogo StressSense is highlighted in The Economist, Microphones as sensors: Teaching old microphones new tricks, June 2013.

     NewScientistLogo StressSense is featured in the New Scientist, Smartphone that feels your strain, August 2012.

      StressSense and Bewell are covered by Atlantic Cities article, 3 Next-Gen Apps for the Stressed-Out Urbanite Cities, August 2012.

     ACMlogo Voice-Stress Software Is Put to the Test, on PhysOrg and ACM Tech, August 2012.

     NYTLogo   the NYTimes Magazine article on The Little Voice in Your Head January 2012

     CoExisitLogo Fast Company's Co.Exist reports our work on mobile phone stress detection and Bewell app: Get Some Therapy From An App That Reads Your Feelings Through Your Voice, November 2011.

      NeuroPhone is featured as part of the cover story on The next step in bionics, CBS News Sunday Morning, October 2011.

     NYTimeslLogo   NeuroPhone is featured as part of the NYTimes Magazine article on The Cyborg in us all, September 2011.

     ACMlogo Smartphone app monitors your every move, ACM TechNews, December 2010.

      Nokia toys with context-aware smartphone settings switch, Jigsaw provides better context for apps like this, Engadget front page story, Nov 2010.

     NewScientistLogo Jigsaw continous sensing engine covered by New Scientist, Smartphone app monitors your everymove, Nov 2010.

      Write-up about NeuroPhone project: Mobile Phone Mind Control, MIT Technology Review, April 2010

     siglogo SoundSense featured on SIGMOBILE Annual Report 2009, 2009.

     Slashdotlogo SoundSense featured on slashdot front page, Cell Phones That Learn the Sounds of Your Life, July 2009.

      SoundSense featured on MIT Technology Review, Cell phones that listen and learn, June 2009.