Pan HU 胡盼

Contact info

Stanford University
450 Serra Mall
Stanford, CA, 94305
Email: lghupan at gmail dot com   Mobile: 413-345-3488


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About me

Research keywords: Wireless, Mobile, and Energy.


Pan is a Ph.D. student at Stanford University. He was a graduate student in School of Computer Science at UMass Amherst under the supervision of Prof. Deepak Ganesan. Before that, he was an intern researcher at Microsoft Research Redmond (in 2014, supervised by Ranveer Chandra , Bodhi Priyantha and Anirudh Badam) and Microsoft Research Asia (in 2013, supervised by Guobin (Jacky) Shen, Xiaofan(Fred) Jiang and Feng Zhao ). He was an application engineering intern at Texas Instruments in 2012. Pan received Microsft Research PhD Fellowship in 2015 and is a recipient of MobiCom 2014 best paper runner up.


Ph.D. in Electrical Engineering                          Sep. 2016 - ???
Stanford University, Stanford, CA

M.S. in Computer Science                                 Sep. 2013 - May. 2016
University of Massachusetts Amherst, Amherst, MA

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

Latest news

  • 04/22/2016: Two papers got accepted by SIGCOMM 2016!
  • 06/29/2015: Our Software Defined Battery paper got accepted by SOSP 2015!
  • 06/05/2015: Our Computational Eyeglass paper got accepted by MobiCom 2015!
  • 04/24/2015: Our Laissez-Faire Backscatter paper got accepted by SIGCOMM 2015!
  • 01/31/2015: Received Microsft Research PhD Fellowship (2015-2017).


*H-index = 6, Citation = 186 according to Google Scholar.

Conference and Workshop

  • [SIGCOMM'16] Pan Hu, Pengyu Zhang, Mohammad Rostami, Deepak Ganesan, "Braidio: An Integrated Active-Passive Radio for Mobile Devices with Asymmetric Energy Budgets", Proceedings of the ACM SIGCOMM 2016.

  • [SIGCOMM'16] Pengyu Zhang, Mohammad Rostami, Pan Hu, Deepak Ganesan, "Enabling Practical Backscatter Communication for On-body Sensors", Proceedings of the ACM SIGCOMM 2016.

  • [SOSP'15] Anirudh Badam, Ranveer Chandra, Jon A. Dutra, Anthony Ferrese, Steve Hodges, Pan Hu, Julia Meinershagen, Thomas Moscibroda, Bodhi Priyantha, Evangelia Skiani, "Software Defined Batteries", Proceedings of the Twenty-Fifth ACM Symposium on Operating Systems Principles. ACM, 2015. [Slides]
    †Authors ranked alphabetically.

  • [MobiCom'15] Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin Marlin, Christopher Salthouse, "CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass", Proceedings of the 21st Annual International Conference on Mobile Computing and Networking.

  • [SIGCOMM'15] Pan Hu, Pengyu Zhang, Deepak Ganesan, "Laissez-Faire: Fully asymmetric backscatter communication", Proceedings of ACM SIGCOMM 2015. [Slides]

  • [HotWireless'14] Pan Hu, Pengyu Zhang, Deepak Ganesan, "Leveraging Interleaved Signal Edges for Concurrent Backscatter", Proceedings of the 2014 ACM Workshop on Hot Topics in Wireless.

  • [MobiCom'14] Pengyu Zhang, Pan Hu, Vijay Pasikanti, Deepak Ganesan, "EkhoNet: High Speed Ultra Low-Power Backscatter", Proceedings of the 20th Annual International Conference on Mobile Computing and Networking. (Best Paper Award Runner Up)

  • [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.


  • [MC2R'15] Pan Hu, Pengyu Zhang, Deepak Ganesan, "Leveraging Interleaved Signal Edges for Concurrent Backscatter", In ACM SIGMOBILE Mobile Computing and Communications Review (MC2R),2015.

Demos and Posters

  • Addison Mayberry, Pan Hu, Benjamin Marlin, Christopher Salthouse, Deepak Ganesan, "iShadow: The Computational Eyeglass System", in Proceeding of the Symposium on Eye Tracking Research and Applications (ETRI 2014), Safety Harbor, FL, 2014. [PDF]

  • Yun Cheng, Pan Hu, Guobin Shen, Xiaofan Jiang, " Demo Abstract: ThirdEye: Your Guardian Against Myopia", 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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