About

I am an Assistant Professor in Computer Science at Oxford College of Emory University. My research focuses on mobile crowd sensing, edge computing, privacy, indoor localization, and bike sharing.

I received my Ph.D. from UNC Charlotte in 2019 under the supervision of Dr. Yu Wang. Before that, I earned my B.Eng. in Electrical Engineering from Xidian University in June 2012 and worked as a counselor at Xidian University for two years.

News

  • Nov 2025: Our student Carson Lam and I presented our papers at the 44th IEEE International Performance Computing and Communications Conference (IPCCC 2025).
  • Apr 2025: One paper was accepted by the 11th International Conference on Big Data Computing and Communications (BigCom 2025).
  • Apr 2025: Invited to serve as Poster Chair for IPCCC 2025.
  • Mar 2025: Invited to serve as General Chair for the 21st EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness.
  • Feb 2025: Invited to serve as TPC member for IEEE MASS 2025.

Research

My work sits at the intersection of sensing systems, algorithms, and trustworthy computing for large-scale mobile and edge environments.

Mobile Crowd Sensing Edge Computing Privacy Indoor Localization Bike Sharing Systems

Publications

Journal Articles (Selected)

2022 Youqi Li, Fan Li, Liehuang Zhu, Huijie Chen, Ting Li, and Yu Wang, "Fair Incentive Mechanism with Imperfect Quality in Privacy Preserving Crowdsensing," IEEE Internet of Things Journal.
2021 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.
2020 Ting Li, Taeho Jung, Zhijin Qiu, Hanshang Li, Lijuan Cao, and Yu Wang, "Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems," IEEE Transactions on Network Science and Engineering.
2019 Hanshang Li, Ting Li, Weichao Wang, and Yu Wang, "Dynamic Participant Selection for Large-Scale Mobile Crowd Sensing," IEEE Transactions on Mobile Computing.

Conference Papers (Selected)

2025 Victor Li*, Carson Lam*, Ting Li, "Gumbel-Based Active Sparse Mobile Crowd Sensing with Time Series Transformer," IPCCC 2025.
2025 Ting Li, Dan Han, A B M Mohaimenur Rahman, "Matching or Not: Stochastic Perfect Matching of Task Assignment in Mobile Crowd Sensing," BigCom 2025.
2024 Helen Jin*, Ting Li, "Participation Selection in Mobile Crowd Sensing with Diversity Ensures," ICNC 2024.
2018 Ting Li, Zhijin Qiu, Lijuan Cao, Zhongwen Guo, Fan Li, and Yu Wang, "Privacy-Preserving Participant Grouping in Mobile Crowdsensing over Hierarchical Edge Clouds," IPCCC 2018.
2017 Ting Li, Taeho Jung, Hanshang Li, Lijuan Cao, Weichao Wang, Xiang-Yang Li, and Yu Wang, "Scalable Privacy-Preserving Participant Selection in Mobile Crowd Sensing," PerCom 2017.

The authors ending with * are undergraduate students at Oxford College of Emory University who did research under the supervision of Dr. Li.

Complete publication list in PDF CV.


Teaching

  • CS 170Q Introduction to Computer Science I - Sample syllabus
  • CS 171 Introduction to Computer Science II - Sample syllabus
  • CS 253 Data Structure and Algorithms - Sample syllabus
  • DSC 101Q Beauty of Algorithms
  • MLP 101 Milestone Project
  • CS 297RE Directed Study

Professional Service

Leadership General Chair, 21st EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (2025); Poster Chair, IPCCC 2025.
TPC / PC IEEE MASS; IEEE SoutheastCon; IEEE IPCCC; IEEE ICCCN; BigCom; The Tech for Women Track at Grace Hopper Conference.
Journal Reviewing ACM Transactions on Sensor Networks; Sensors; IEEE Transactions on Mobile Computing; IEEE Transactions on Communications; IEEE Internet of Things Journal; IEEE Transactions on Vehicular Technology; IEEE Transactions on Network Science and Engineering; and related venues.
Other Session Chair, IPCCC 2021; Judge, Undergraduate Research (CUR) Award at SIGCSE 2022; Guest Editor for MDPI special issues.

Curriculum Vitae

View CV page | Download CV (PDF)

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