I am a fifth year Ph.D student in the Dept. of Computer Science at Johns Hopkins University. My advisers are Prof. Andreas Terzis and Prof. Suchi Saria. My current research interests include mobile health, machine learning and computer networks.
I received my M.E from the Dept. of Computer Science at Nanjing University, Nanjing, China, in June 2010. I am also a member of GPS Group (Group of Grid, Peer-to-peer and wireless Sensor networks) advised by Prof. Guihai Chen.
I received my B.S from the Dept. of Computer Science at Nanjing University, Nanjing, China, in June 2007.
HopkinsPD: Daily Remote Monitoring Parkinson's Disease via Smartphones
Using a Parkinson disease (PD)-specific application (app) to: (1) assess the feasibility of remote, online recruitment and completion of app installations, (2) objectively measure and quantify five factors of PD (voice, balance, dexterity, gait, and reaction time), (3) measure daily variability of these and other factors including mobility and socialization, and (4) correlate Android app sensor data and clinical assessments from the Unified Parkinson Disease Rating Scale (UPDRS) in a subset of participants
Smartphones are becoming the dominant devices people use to access the Internet. Following this trend, a deep investigation of network protocol performance on cellular networks is becoming increasingly important. However, most of the current protocol testing on smartphones are based on laboratory scope testbeds which require root privileges or even customized firmwares. These constraints limit such tests within a laboratory scope. Unfortunately, small scale testing cannot provide results with high confidence due to the high spatial and temporal variability of cellular networks.
To address this challenge of testing network protocols at scale, we design and implement MobiBed, an open network protocol testbed for mobile phones in the wild. Each phone participating in MobiBed runs a network protocol emulator in user space that implements sandboxed network stacks. Protocol packets are encapsulated in UDP tunnels that require no kernel changes or superuser privileges (Fig. 1 Left). MobiBed's draft research paper (under submission), implementation (server on Google App Engine and Android client), and supplementary information are available here. This is a draft web site and we are working to improve it. We welcome contributions to the code and your feedback.
Accurate Calorie Expenditure of Bicyclists using Cellphones
Biking is one of the most efficient and environmentally friendly ways to control weight and commute. To precisely estimate caloric expenditure, bikers have to install a bike computer or use a smartphone connected to additional sensors such as heart rate monitors worn on their chest, or cadence sensors mounted on their bikes. However, these peripherals are still expensive and inconvenient for daily use. This work poses the following question: is it possible to use just a smartphone to reliably estimate cycling activity? We answer this question positively through a pocket sensing approach that can reliably measure cadence using the phone’s on-board accelerometer with less than 2% error. Our method estimates caloric expenditure through a model that takes as inputs GPS traces, the USGS elevation service, and the detailed road database from OpenStreetMap. The overall caloric estimation error is 60% smaller than other smartphone-based approaches. Finally, the smartphone can aggressively duty-cycle its GPS receiver, reducing energy consumption by 57%, without any degradation in the accuracy of caloric expenditure estimates. This is possible because we can recover the bike’s route, even with fewer GPS location samples, using map information from the USGS and OpenStreetMap databases.
Jong Hyun Lim, Andong Zhan, Jeonggil Ko, Andreas Terzis, Sarah Szanton, Laura Gitlin, A Closed-loop Approach for Improving the Wellness of Low-Income Elders at Home Using Game Consoles, IEEE Communications Magazine, January 2012.
Shen Li, Andong Zhan, Xiaobing Wu, Panlong Yang and Guihai Chen, Efficient Emergency Rescue Navigation with Wireless Sensor Networks, Journal of Information Science and Engineering, 27(1):51-64, January 2011.
S.O. Abiola, K.M. Biglan, E.R. Dorsey, D.A. Harris, M.A. Little, S. Saria, Andong Zhan, Smartphone-PD: Preliminary results of an mHealth application to track and quantify characteristics of Parkinson disease in real-time, in 19th International Congress of Parkinson’s Disease and Movement Disorders, San Diego, CA, USA. [PPT]
Andy J Ma, Andong Zhan, Gunnar Sigurdsson, Nishi Rawat, Dale Needham and Suchi Saria, Feasibility of a Non-Invasive Sensor for Measuring ICU Patient Mobility, SCCM's 44th Critical Care Congress, 2015.
Andong Zhan, Marcus Chang, Yin Chen, and Andreas Terzis,"Accurate Calorie Expenditure of Bicyclists using Cellphones". In Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems (SenSys '12), Nov. 2012. [PPT]
Andong Zhan, Jong Hyun Lim, Andreas Terzis, "DailyAlert: A Generic Mobile Pursuasion Toolkit for Smartphones". Appeared in the 2nd International Workshop on Sensing Applications for Mobile Phones (PhoneSense), Seattle, WA, Nov. 1, 2011.
Andong Zhan, Guihai Chen and Fan Wu, "SOS: A Safe, Ordered and Speedy Emergency Navigation Algorithm in Wireless Sensor Networks", in Proc. of IEEE International Conference on Computer Communication Networks (ICCCN 2011), Maui, Hawaii, USA, July 31 - Aug. 4, 2011.
Shiqing Shen, Andong Zhan, Panlong Yang and Guihai Chen, Exploiting Sink Mobility to Maximize Lifetime in 3D Underwater Sensor Networks, in Proc. of IEEE International Conference on Communications (ICC 2010), Cape Town, South Africa, May 23-27, 2010.
Shen Li, Andang Zhan and Guihai Chen, "ERN: Emergence Rescue Navigation with Wireless Sensor Networks", in Proc. of 15th International Conference on Parallel and Distributed Systems (ICPADS'09), Shenzhen, China, December 8-11, 2009.
Andong Zhan, Guihai Chen and Wei Wang, "Utilizing Automatic Underwater Vehicles to Prolong the Lifetime of Underwater Sensor Networks", in Proc. of 18th International Conference on Computer Communications and Networks (ICCCN 2009), San Francisco, USA, August 2 - 6, 2009. (29.5% Acceptance Rate)
Andong Zhan, Tianyin Xu, Guihai Chen, Baoliu Ye and Sanglu Lu, "A Survey on Real-time Routing Protocols for Wireless Sensor Networks", in Proc. of The 2nd China Wireless Sensor Network Conference (CWSN-2008), Chongqing, China, October 13-14, 2008. (A journal version is published by "Chinese Journal of Computer Science", Vol. 35(11A): 234-238, 2008.)
Posters & Demos:
Jong Hyun Lim, Andong Zhan and Andreas Terzis, "HealthOS: Platform for Integrating and Developing Pervasive Healthcare Applications", MobiSys 2011, Washington, DC, USA, June 28th - July 1st.
Andong Zhan, Shen Li, Tao Li, Lubin Guan, Panlong Yang, Xiaobing Wu and Guihai Chen, "iTracking: accurate light-based location-tracking in wireless sensor networks", in Demo Proc. of 6th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2009), Macau, China, October 12-15, 2009. [video]
Andong Zhan, Shen Li, Wenchang Zhou, Tao Li, Panlong Yang, Xiaobing Wu and Guihai Chen, "iBrush: Writing Chinese Characters with a Flashlight and a Wireless Sensor Grid", in Demo Proc. of 15th Annual International Conference on Mobile Computing and Networking (MobiCom 2009), Beijing, China, September 20 - 25, 2009. [video(3.68M)][poster] HONORED MENTION [pic]