The Mobile and Sensing Systems Group (MASS) at Microsoft Research Asia is investigating some of the most exciting research problems arising from mobile and sensing systems and applications. Given the ubiquity of networked sensors and actuators, proliferation of smartphones, and ever-increasing urgency to address societal scale challenges, we believe future mobile and sensing systems will have a significant impact on our everyday lives, from environment, to health, energy, productivity, and entertainment.
We are currently working on a number of topics, including mobile systems, sensor networks, localization, energy efficiency, participatory sensing, activity recognition, and smart buildings. More information about our research can be found by checking individual projects, reading our publications, or by contacting our group members.
We are looking for exceptional full-time researcher and research interns to join our team. For more information, please refer to our job description. To apply, please send your CV to firstname.lastname@example.org, and copy one of our group members. We are particularly interested in candidates who can demonstrate high quality research taste, deep analytical skills, and strong first-hand system building experience.
Nic Lane received the Best Paper Award for his paper “Can Your Smartphone Infer Your Mood?” at PhoneSense 2011 (with Yunxin Liu and people from Rice University)
Fred Jiang, Mike Liang, and Feng Zhao received the Best Demo Award at ACM SenSys 2011 (with K.-F. Chen, J. Hsu, B. Zhang, and J. Liu)
- Thomas Moscibroda and David Chu (MSR Redmond) received the Runners-Up Best Demo Award at ACM SenSys 2011 (with Zengbin Zhang from UC Santa Barbara)
- Thomas Moscibroda gave a Keynote Speech at ACM CoRoNet 2011 (co-located with ACM MobiCom). He will also give a keynote at the 13th Int. Conference on Distributed Computing and Networking (ICDCN) in January 2012.
- Jongjun Park, Jongsoo Jeong, Hoon Jeong, Chieh-Jan Mike Liang, and JeongGil Ko, Improving the Packet Delivery Performance for Concurrent Packet Transmissions in WSNs , in Communications Letters, IEEE, January 2014
- Chieh-Jan Mike Liang, Jun Tang, Li Zhang, Sirajum Munir, John A. Stankovic, and Feng Zhao, On Human Behavioral Patterns in Elevator Usages, in BuildSys, ACM, November 2013
- Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, and Shan Lin, Reducing Energy Waste for Computers by Human-in-the-Loop Control, in Transactions on Emerging Topics in Computing (TETC), IEEE, September 2013
- Chieh-Jan Mike Liang, Nic Lane, Niels Brouwers, Li Zhang, Borje Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, and Feng Zhao, Context Virtualizer: A Cloud Service for Automated Large-scale Mobile App Testing under Real-World Conditions, no. MSR-TR-2013-103, September 2013
- Fengyuan Xu, Yunxin Liu, Thomas Moscibroda, Ranveer Chandra, Long Jin, Yongguang Zhang, and Qun Li, Optimizing Background Email Sync on Smartphones, ACM International Conference in Mobile Systems, Applications, and Services (MobiSys), 25 June 2013
- Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, and Shan Lin, New Cyber Physical System Challenges for Human-in-the-Loop Control, in Feedback Computing, USENIX, June 2013
- Chieh-Jan Mike Liang, Nic Lane, Niels Brouwers, Li Zhang, Borje Karlsson, Ranveer Chandra, and Feng Zhao, Contextual Fuzzing: Automated Mobile App Testing Under Dynamic Device and Environment Conditions, no. MSR-TR-2013-100, March 2013
- Pan Hu, Guobin Shen, Liqun Li, and Donghuan Lu, ViRi: View It Right, ACM International Conference in Mobile Systems, Applications, and Services (MobiSys), 2013
- Pan Hu, Liqun Li, Chunyi Peng, Guobin Shen, and Feng Zhao, Pharos : Enable Physical Analytics through Visible Light based Indoor Localization, in HotNets, 2013
- Yun Cheng, Kaifei Chen, Ben Zhang, Chieh-Jan Mike Liang, Xiaofan Jiang, and Feng Zhao, Accurate Real-Time Occupant Energy-Footprinting in Commercial Buildings, in BuildSys, ACM, November 2012