Ting Li
Assistant Professor of Computer Science
Dr. Li studied in the Information Engineering in Xidian University from 2008 to 2012 in Xi'an, China and came to the United States in 2014 after worked as a counselor for 2 years. She earned a PhD in Computer Science at the University of North Carolina at Charlotte in 2019 under the supervision of Dr. Yu Wang. Her research interest focus on Mobile Crowd Sensing, Privacy and Security, Edge Computing, and applying CS techinique into improvement of student's experience/life(biking sharing or stable matching between Emory Campuses).
You can find more at her personal webpages and google scholar HERE.
Education
PhD| University of North Carolina at Charlotte| 2019
B.Eng| Xidian University| 2012
Courses Taught
CS 170Q Introduction to Computer Science I
CS 171 Introduction to Computer Science II
CS 253 Data structrue and Algorithms
DSC 101Q Beauty of Algorithms
Publications
- Ting Li, Dan Han, A B M Mohaimenur Rahman, ”Matching or Not: Stochastic Perfect Matching of Task Assignment in Mobile Crowd Sensing”, In proceeding of the 11th International Conference on Big Data Computing and Communications. June 2025.
- Helen Jin, Ting Li, ”Participation Selection in Mobile Crowd Sensing with Diversity En- sures”, in proceedings of the 2024 International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, February 2024.
- Fair Incentive Mechanism with Imperfect Quality in Privacy Preserving Crowdsensing, Youqi Li, Fan Li, Liehuang Zhu, Huijie Chen, Ting Li, and Yu Wang, IEEE Internet of Things Journal, February 2022.
- Ting Li, Zhijin Qiu, Lijuan Cao, Dazhao Cheng, Weichao Wang, Xinghua Shi, and Yu Wang, ”Privacy-Preserving Participant Grouping for Mobile Social Sensing over Edge Clouds”, IEEE Transactions on Network Science and Engineering, April 2021.
- Yufeng Zhan, Yuanqing Xia, Jiang Zhang,Ting Li, Yu Wang, ”An Incentive MechanismDe- sign for Mobile Crowdsensing with Demand Uncertainties”, Information Sciences, April 2020.
Presentations
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”Redesigning Mobile Crowd Sensing’s Selection Logic to Ensure Participant’s Diversity”, Helen Jin*, Yijun Liu*, Ting Li, presented at the 42rd IEEE – International Performance Computing and Communications Conference (IPCCC 2023