Beitong Tian

Ph.D. Student in Computer Science

University of Illinois Urbana-Champaign

Biography

My name is Beitong Tian. Currently, I am a fourth-year Ph.D. candidate in Computer Science at the University of Illinois, Urbana-Champaign. I am fortunate to be advised by Prof. Klara Nahrstedt at the Multimedia Operating Systems and Networking (MONET) group. I am broadly interested in wireless sensor network, mobile computing, and machine learning. I like to build smart-Xs (smart gym, smart lab, etc.) and solve problems along the journey. Recently, I am building a smart academic laboratory with the hope to speed up the research process and reduce or even eliminate safety problems.

Before joining UIUC, I got my master’s degree in Electrial and Computer Engineering from Cornell University. I got my bachelor’s degree in Electronic Science and Engineering from Southeast University in China. I was advised by Prof. Zhen Zhu at Key Laboratory of MEMS.

Here is my resumé.

You can find my previous (2013-2018) projects (smart things, embedded systems) in my old website.

Interests

Wireless Sensor Network
Mobile Computing
Machine Learning

Education

Ph.D. in Computer Science, In Progress

University of Illinois, Urbana-Champaign
M.Eng in Electrical and Computer Engineering, 2017-2018

Cornell University
B.E. in Electrical Electronic Science and Engineering, 2013-2017

Southeast University

Publications

Beitong Tian, Mingyuan Wu, Ruixiao Zhang, Haozhen Zheng, Bo Chen, Yaohui Wang, Shiv Trivedi, Shanbo Zhang, Robert Bruce Kaufman, Leah Espenhahn, Gianni Pezzarossi, Mauro Sardela, John Dallesasse, Klara Nahrstedt (2024). GaugeTracker: AI-Powered Cost-Effective Analog Gauge Monitoring System. In Proceedings of IEEE 7th International Conference on Multimedia Information Processing and Retrieval [MIPR2024].

PDF Cite

Beitong Tian, Kuan-Chieh Lu, Ahmadreza Eslaminia, Yaohui Wang, Chenhui Shao, Klara Nahrstedt (2023). WeldMon: A Cost-effective Ultrasonic Welding Machine Condition Monitoring System. In Proceedings of the IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference [UEMCON2023].

PDF Cite Code DOI

Beitong Tian, Zhe Yang, Hessam Moeini, Ragini Gupta, Patrick Su, Robert Kaufman, Mark McCollum, John Dallesasse, Klara Nahrstedt (2021). SENSELET++: A Low-cost Internet of Things Sensing Platform for Academic Cleanrooms. In Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems [MASS2021].

PDF Cite Code Poster Slides Video DOI

Zhen Zhu, Weijie Chen, Beitong Tian, Yulong Luo, Jianfeng Lan, Di Wu, Di Chen, Zixin Wang, Dejing Pan (2018). Using microfluidic impedance cytometry to measure C. elegans worms and identify their developmental stages. In Sensors and Actuators B Chemical, Volume 275, 1 December 2018, Pages 470-482 [Sensors and Actuators B Chemical].

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Weijie Chen, Beitong Tian, Jianfeng Lan, Di Chen, Zhen Zhu (2017). Using microfluidic impedance cytometry to identify the life stages of C. elegans nematodes. In Proceedings of 19th International Conference on Solid-State Sensors, Actuators and Microsystems [TRANSDUCERS2017].

PDF Cite DOI

Experience

R&D Software Engineer Intern

Fortinet

Jun 2018 – Sep 2018 Sunnyvale, CA

Developed, maintained and tested a forward traffic log feature for Access Controller OS, using socket for process communication, RBtree and caching to speed up the system.
Debugged and fixed local configure system for an OpenWrt based Access Point.
Designed and implemented scripts to interact with Access Controller and Access Point to auto test channel features