His research interests span the areas of mobile sensing and computing, AIoT (Artificial Intelligence of Things), 5G networking and applications.

[Project] Improving IoT sensing capability with advanced AI techniques (2020-present)

This project makes use of advanced AI techniques like BERT and Federated Learning to solve practical challenges in large-scale sensing systems and IoT applications.

[Project] Improving real time video streaming in 5G networks (2019-present)

This project aims to improve the real time video streaming performance in 5G by incorporating the video context information and network conditions. Empirical experiments have validated our hypothesis on the problem.

[Product] YuFeiMen: A smart and secure identity authentication product for IoT applications (2017-2019)

YuFeiMen is an intelligent IoT product for identity authentication. The product is being used in various scenarios like office buildings, industry parks, chain hotels, etc. It supports various authentication interfaces including face recognition, dynamic QR code and smart cards. PoE (Power over Ethernet) technology is used in the product so that the installation and maintenance overhead is greatly reduced compared to traditional systems.

[Project] Use it free: Instant 3D-orientation estimation for smartphones (2013-2015)

This project solved the problem of instant 3D orientation estimation of smartphones. We understood the characteristics of gyroscope, accelerometer and magnetometer sensor through comprehensive experiments and analysis. We proposed to continuously track the orientation primarily using gyroscope and opportunistically callibrate the orientation using accelerometer and compass when we sense the "good moment".

[Project] IODetector: Generic indoor/outdoor detection system (2011- present)

→ IODetector opensource for Android devices ←

The indoor/outdoor status is the essential and primitive information for various applications. We proposed IODetector, which tracks people's indoor/outdoor status using the smartphone on-board sensors (e.g., light sensor, cellular module and magnetism sensor, etc.) and achieves high accuracy with little power overhead. The pilot prototype was developed in 2012. In 2019, we did a technology transfer of IODetector for ele.me, which is Alibaba's on-demand food delivery platform. IODetector helps ele.me better understand the courier's working status and improve the delivery efficiency. It is now being deployed in over 300 cities in China and running on the mobile phones of 1,000,000+ couriers. With two-year nationwide deployment, IODetector helps reduce the average delivery time of each order by 19 seconds and the relative order timeout rate by 5%, which leads to ~100 million CNY cost saving for each year.

[Project] Urban traffic informatics with crowdsensing (2011-2017)

This traffic sensing system solely relies on the collaborative effort of participating users and is independent from the commercial transportation companies. The real time bus information is collected from the bus riders to predict bus arrival time and estimate the traffic map of the entire urban area. Specifically, we make use of the audio beep signal from card readers to detect the boarding and cellular fingerprint to identify the bus route and track the bus. We implemented a pilot system in Singapore in 2011 and also did evaluation experiments in London in 2012.

ZHOU Pengfei has over 1,200 citations (h-index 10) from publications in MobiCom, SenSys, MobiSys, Ubicomp, ICDCS and INFOCOM according to Google Scholar.

In Submission

Experience: Nationwide Deployment of Indoor Outdoor Detection for On-demand Food Delivery.
Unleashing the Potential of Unlabelled Data for IMU Sensing Applications.

Journal Articles

[TOSN] "Memento: An Emotion Driven Lifelogging System with Wearables", Shiqi Jiang, Pengfei Zhou, Zhenjiang Li, and Mo Li. In ACM Transactions on Sensor Networks, Vol.15, Issue 1, Article 8, January 2019.
[TMC] "Think Like A Graph: Real-Time Traffic Estimation at City-Scale", Zhidan Liu, Pengfei Zhou, Zhenjiang Li, and Mo Li. In IEEE Transactions on Mobile Computing, Vol. 18, Issue 10, October 2019.
[TMC] "Pricing Data Tampering in Automated Fare Collection with NFC-equipped Smartphones", Fan Dang, Ennan Zhai, Zhenhua Li, Pengfei Zhou, Aziz Mohaisen, Kaigui Bian, Qingfu Wen, and Mo Li. In IEEE Transactions on Mobile Computing, Vol. 18, Issue 5, May 2019.
[TMC] "An Acoustic-based Encounter Profiling System", Huanle Zhang, Wan Du, Pengfei Zhou, Mo Li, and Prasant Mohapatra. In IEEE Transactions on Mobile Computing, Vol 17, Issue 8, Pages 1750-1763, August 2018.
[T-ITS] "A Participatory Urban Traffic Monitoring System: The Power of Bus Riders", Zhidan Liu, Shiqi Jiang, Pengfei Zhou, and Mo Li. In IEEE Transactions on Intelligent Transportation Systems, Vol.18, Issue 10, October 2017.
[TOSN] "IODetector: A Generic Service for Indoor/Outdoor Detection", Mo Li, Pengfei Zhou, Yuanqing Zheng, Zhenjiang Li, and Guobin (Jacky) Shen. In ACM Transactions on Sensor Networks, Vol. 11, Issue 2, Article 28, February 2015.
[TMC] "How Long to Wait?: Predicting Bus Arrival Time with Mobile Phone based Participatory Sensing", Pengfei Zhou, Yuanqing Zheng, and Mo Li. In IEEE Transactions on Mobile Computing, Vol. 13, Issue 6, Pages 1228-1241, June 2014.

Conference Papers

[Ubicomp'19] "Amateur: Augmented Reality based Vehicle Navigation System", Chu Cao, Zhenjiang Li, Pengfei Zhou, Mo Li. In Proceedings of ACM Ubicomp, Vol.2, No.4, Article 155, London, UK, December 2019.
[MiSeNet'17] "NFC-enabled Attack on Cyber Physical Systems: A Practical Case Study", Fan Dang, Pengfei Zhou, Zhenhua Li, and Yunhao Liu. In the 6th IEEE Annual International Workshop on Mission-Oriented Wireless Sensor and Cyber-Physical System Networking, May. 1-4, 2017.
[INFOCOM'17] "Large-Scale Invisible Attack on AFC Systems with NFC-Equipped Smartphones", Fan Dang, Pengfei Zhou, Zhenhua Li, Ennan Zhai, Aziz Mohaisen, Qingfu Wen, Mo Li. In IEEE INFOCOM, Atlanta, USA, May 2017.
[MobiCom'16] "DopEnc: Acoustic-based Encounter Profiling using Smartphones", Huanle Zhang, Wan Du, Pengfei Zhou, Mo Li, Prasant Mopahatra. In ACM MobiCom 2016, New York, USA.
[IWCMC'16] "A Real Independent Centimeter-grade 3D Indoor Localization System on Smartphone", Fan Dang, Xuan Ding and Pengfei Zhou. In 2016 International Wireless Communications and Mobile Computing Conference, pp. 824-829, 2016.
[ICDCS'15] "Urban Traffic Monitoring with the Help of Bus Riders", Pengfei Zhou, Shiqi Jiang, Mo Li. In IEEE ICDCS 2015. Columbus, Ohio, USA, 2015.
[MobiCom'14] "Use It Free: Instantly Knowing Your Phone Attitude", Pengfei Zhou, Mo Li, and Guobin Shen. In ACM MobiCom, Maui, Hawaii, USA, September 2014.
[SenSys'12] "IODetector: A Generic Service for Indoor Outdoor Detection", Pengfei Zhou, Yuanqing Zheng, Zhenjiang Li, Mo Li, and Guobin (Jacky) Shen. In ACM SenSys, Toronto, Canada, November 2012.
[MobiSys'12] "How Long to Wait?: Predicting Bus Arrival Time with Mobile Phone based Participatory Sensing", Pengfei Zhou, Yuanqing Zheng, and Mo Li. In ACM MobiSys, Pages 379-392, Low Wood Bay, United Kingdom, June 2012.

Recipient of several million CNY investment, Beijing, 2017.

Silver medal of the first creation, innovation and entrepreneurship competition for Tsinghua alumni, 2016.

Invited to draft Technical requirements of smart card application for smart residential area by Ministry of Housing and Urban-Rural Development of China, 2016.

Best Demo Award, IEEE SECON, 2014.

Vice President, Student Association, Department of Energy and Power Engineering, Tsinghua University, 2008.

"Accurate Attitude Tracking for Smartphones", US provisional patent 61/989,015, filed in 2016.

"A Generic Service For Indoor Outdoor Detection", NTU TECH_027_15.

"Accurate Attitude Tracking For Smartphones", NTU TECH_009_14.

"Predicting Bus Arrival Time With Mobile Phone Based Participatory Sensing", NTU TECH_176_14.

"一种基于NFC技术的商品防伪方法", 专利号201610857913.4.

"一种基于蓝牙终端的身份认证方法及系统", 专利号201610863172.0.

"一种基于带有NFC功能手机终端的充值方法", 专利号201621091171.0.

Reviewer

Journals: IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, ACM Transactions on Internet of Things.
Conferences: MobiCom 2019-2021, INFOCOM 2019-2020, SenSys 2019, INFOCOM 2013-2015, MobiSys 2015, ICDCS 2012-2014.