Pan HU 胡盼

Contact info

University of Massachusetts
Governors Dr. Amherst
MA 01002
Email: lghupan at gmail dot com   Mobile: 413-345-3488


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About me

Research interests: wireless and mobile systems, cyber-physical systems, human-computer interaction and networked sensor systems.


I am a first year MS/PhD student of Computer Science at UMass Amherst. My advisor is Deepak Ganesan. Before that I was an intern at Microsoft Research Asia supervised by Dr. Guobin (Jacky) Shen and Feng Zhao in MASS (Mobile and Sensing System) group. Before that, my mentor was Xiaofan(Fred) Jiang, now Senior Staff Researcher at Intel Labs China. Prior to joining MSRA, I was an Application Engineering Intern at Texas Instruments. I graduated from Wuhan University of Technology with honor in June 2012, majoring in Electronics Information Engineering.


M.S./Ph.D. in Computer Science                       Sep. 2013 - now
University of Massachusetts Amherst, Massachusetts, U.S.A.

B.S. In Electronic Information Engineering        Sep. 2008 - Jun. 2012
Wuhan University of Technology, Wuhan, Hubei Province, P.R.C.

Latest news

  • 3/02/2014: Our Computational Glasses paper is accepted by MobiSys'14 (Accept rate = 13.5%).
  • 2/23/2014: I will intern at Mobility and Networking group of Microsoft Research Redmond this summer.
  • 12/10/2013: Our VLC-based indoor localization paper is accepted by NSDI'14 (Accept rate = 17.8%).
  • 09/16/2013: Our light-based indoor localization paper is accepted by HotNets XII (Accept rate = 23.6%).


*H-index = 2, Citation = 7 according to Google Scholar.

Full Papers

  • [MobiSys'14] Addison Mayberry, Pan Hu, Benjamin Marlin, Christopher Salthouse and Deepak Ganesan. iShadow: Design of a Wearable, Real-Time Mobile Gaze Tracker, Proceedings of the 12th International Conference on Mobile Systems, Applications and Services, Bretton Woods, NH 2014.

  • [NSDI'14] Liqun Li, Pan Hu, Guobin Shen, Chunyi Peng, Feng Zhao, "Epsilon: A Visible Light Based Positioning System", the 11th USENIX Symposium on Networked Systems Design and Implementation , Seattle, Washington, 2014.

  • [HotNets-XII] Pan Hu, Liqun Li, Chunyi Peng, Guobin Shen, Feng Zhao, "Pharos: Enable Physical Analytics Through Visible Light Based Indoor Localization", the Twelfth ACM Workshop on Hot Topics in Networks, College Park, Maryland, 2013.

  • [MobiSys'13] Pan Hu, Guobin Shen, Liqun Li, Donghuan Lu, "ViRi: View it Right", the 11th International Conference on Mobile Systems, Applications and Services, Taipei, Taiwan, 2013.

  • [MobiSys'13] Shahriar Nirjon, Robert Dickerson, Philip Asare, Qiang Li, Dezhi Hong, John Stankovic, Pan Hu, Guobin Shen, and Xiaofan Jiang, "Auditeur: A Mobile-Cloud Service Platform for Acoustic Event Detection on Smartphones", the 11th International Conference on Mobile Systems, Applications and Services (MobiSys 2013), Taipei, Taiwan, 2013.

  • [MACE'11] Pan Hu, Junpin Hu. "A novel digital sphygmomanometer using Cortex-M3 microcontroller", the 2nd International Conference on Mechanic Automation and Control Engineering (MACE 2011), Jul. 2011.

Demos and Posters

  • Yun Cheng, Pan Hu, Guobin Shen, Xiaofan Jiang, " Demo Abstract: ThirdEye: Your Guardian Against Myopia", To appear in the 10th European Conference on Embedded Networked Sensor Networks (EWSN 2013), Feb. 2013 [PDF]

  • Pan Hu, Guobin Shen, Xiaofan Jiang, Shao-fu Shih, Donghuan Lu, Feng Zhao, Dezhi Hong, Qiang Li, Shahriar Nirjon, Robert Dickerson, John A. Stankovic, " Demo Abstract: Septimu2 - Earphones for Continuous and Non-Intrusive Physiological and Environmental Monitoring", To appear in the 10th ACM Conference on Embedded Networked Sensor Systems (SenSys 2012), Nov. 2012 [PDF]


Current Projects

Backscatter [Link]
A Network Stack for Backscatter-based Sensors
Computational Glasses [Link]
Computational Eyeglasses for Visual Context Sensing

Past Projects

Phaors/Epsilon [NSDI'14'] [HotNets-XII]
Visible Light Based Localization System
    Indoor physical analytics calls for high-accuracy localization that existing indoor localization systems may not offer. To solve this problem, we proposed Pharos, a novel sub-meter localization system exploitting the LED lighting infrastructure. The basic idea is to leverage the existing lighting infrastructure and apply trilateration to localize any devices with light sensing capability (e.g., a smartphone), while using LED lamps as anchors.
  • Evaluation results show that Pharos achieves 90th percentile localiztion accuracy of 0.4m and 0.7m for two typical indoor environments.
The ThirdEye [Paper]
Your Guardian Against Myopia
    ThirdEye is a pair of smart glasses which could help people fight against myopia. It incorporates gyroscope, accelerometer, proximity and ambient light sensor in a small sensor board mounted on commercial glasses. It could recognize various scenarios in our daily life, and give alarm when the user violates given rules that may cause myopia, such as reading too close or in dimly conditions.The glasses could also log data, providing valuable information to the research of myopia. This work will be presented to EWSN'13. [PDF]
  • Designed the sensor board with long-range proximity detection, ultra low power ambient light sensing, motion detection, high speed wireless connectivity via Bluetooth 2.1+EDR, FRAM non-volatile data storage and alarm; developed driver for these sensors.
  • Designed task scheduling and scenario classification algorithm to detect and alarm user's misbehaviors while maximizing the batter life time.
SEPTIMU 2 [Video] [Paper]
Earphones for Continuous and Non-Intrusive Physiological and Environmental Monitoring
    SEPTIMU is a novel non-intrusive physiological and environmental sensing platform which is fully embedded in a conventional earphone, works with existing smartphones, and does not require the user to change habits in any way. It's a great challenge that we have to design a specially made ear bud that integrates so many sensors in such a small enclosure: 3-axis accelerometer, gyroscope, remote IR temperature sensor, IR LED, IR photodiode and several microphones. Measuring heart rate is very useful since it could enable many interesting application such as health monitoring and mood sensing. The challenge is that we have to measure the heart rate with sensors that could be fit into the limited space of commodity ear buds while traditional ones are far too big. Inspired by the fact that the heart beat will change the density of oxygen protein in the blood which resulted in the fluctuation of the skin's ratio of absorbed IR, I proposed that we could sense the heartbeat by measuring the reflected IR intensity. By carefully design the signal processing circuit, the result was impressive. The error for measuring the heart rate is about 2~3 beats per minute when compared with medical instruments. The work is presented at SenSys'12. [PDF]
  • Proposed a new way to measure hear rate by attaching IR sensor to the ear buds. It does not requires the users to change his/her habits.
  • Designed the sensor board with various sensors while maintain a very tiny form factor (9mm in diameter). Assembled the sensor board into commercial ear buds with 0.1mm wires.
  • Designed the base board with signal conditioning circuits and MCU to control the sensors and process the sensor data;Developed driver for the sensors.
  • Designed the data structure for communication between the SEPTIMU and cellphones.

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