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  • 252 Citations
  • 9 h-Index

Research output per year

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Personal profile


Jiangtao is currently an Associate Professor (equivalent to Reader Position) with Center for Intelligent Healthcare, Coventry University  (Top 15 UK University). Before Joining in Coventry Univ, he was a lecturer in Lancaster University and Peking Univeristy, respectively. His research interests include Pervasive and Mobile Computing, Crowdsensing, Digital Health, Internet of Things, and Smart Cities. Jiangtao has developed a strong international reputation for his research on AI-driven Crowdsensing/Crowdsourcing systems, specifically within the domains of cost and quality joint optimization. He is among the pioneering researchers who introduce the novel mechanisms to optimize sensing quality and cost in task allocation – a fundamental research issue and a maker or breaker in urban crowd sensing. With several novel research perspectives, Jiangtao has achieved a number of top conference and journal publications (e.g, UbiComp, PerCom, CSCW, AAAI, IJCAI, ICDM, IPSN, CIKM, IEEE Trans. on Mobile Computing, IEEE Trans. on Human-Machine Systems, IEEE Computer, and so forth). The results have been validated extensively using real-world data showing superior performance. These works are highly cited and recognized as evident by distinguished talk invitations from prestigious universities such as Nanyang Technological University (Singapore), National University of Singapore, and the University of New South Wales (Australia). As key author of these works, have been invited to organize and chair three IEEE international workshops on AI-Driven Crowdsensing. Jiangtao also serves for the journal editorial board such as Personal and Ubiquitous Computing, Frontiers in Sustainable Cities, etc, and PC members of multiple international conferences.

For more details, please visit his personal research homepage at: 

Research Interests

Ubiquitous computing, Mobile crowdsensing/crowdsroucing, Digital Health,  Internet of Things.

Vision Statement

Jiangtao is a computer scientist in the areas of pervasive and mobile computing, Internet of Things, data science, and artificial intelligence. With particular interest in their applications in digital health, human wellbeing and environment sensing, he collaborates closely with clinicians, environment engineers, industrial partners, and government policy makers to move ubiquitous computing and AI technology into the pathways of health care in terms of both individual and population level. With the goal of enhancing the quality of life for all people, he is now leading or participating in several research projects in mobile health sensing, healthcare data analytics, and population health monitoring.

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Research Output

  • 252 Citations
  • 9 h-Index
  • 17 Article
  • 15 Conference proceeding
  • 1 Review article

Estimating urban road gps environment friendliness with bus trajectories: A city-scale approach

Ma, L., Zhang, C., Wang, Y., Peng, G., Chen, C., Zhao, J. & Wang, J., 12 Mar 2020, In : Sensors. 20, 6, 20 p., 1580;.

Research output: Contribution to journalArticle

Open Access
  • Generic and efficient connectivity determination for IoT applications

    He, X., Peng, Z., Wang, J. & Yang, G., Jun 2020, In : IEEE Internet of Things Journal. 7, 6, p. 5291-5301 11 p., 9015974.

    Research output: Contribution to journalArticle

  • HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing

    Wang, J., Wang, F., Wang, Y., Wang, L., Qiu, Z., Zhang, D., Guo, B. & Lv, Q., 1 Mar 2020, In : IEEE Transactions on Mobile Computing. 19, 3, p. 598-611 14 p., 8640066.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)

    Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors

    Wang, J., Wang, F., Wang, Y., Zhang, D., Lim, B. Y. & Wang, L., Sep 2019, In : IEEE Transactions on Mobile Computing. 18, 9, p. 1979 - 1991 13 p.

    Research output: Contribution to journalArticle

  • 8 Citations (Scopus)

    A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing

    Guo, W., Zhu, W., Yu, Z., Wang, J. & Guo, B., 27 Jun 2019, In : IEEE Access. 7, p. 78406 - 78420 15 p.

    Research output: Contribution to journalArticle

    Open Access
  • 4 Citations (Scopus)