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Pan Li, PhD

Associate Professor
Department of Electrical, Computer, and Systems Engineering
Case School of Engineering

Investigates big data computing and analytics, security and privacy, and their applications in complex systems and networks.

Visit Pan Li's website. 

Research Information

Research Interests

  • Network science and economics (e.g., optimization, capacity and connectivity)
  • Energy systems (e.g., smart grids, renewable energy systems)
  • Security and privacy (e.g., mobile networks, distributed systems, cyber-physical systems, Internet of Things)
  • Big data (e.g., large-scale data analytics and computing, social networks, smart health, bioinformatics)

Publications

  • Yilmaz, E., Ji, T., Ayday, E., & Li, P. (2021). Genomic Data Sharing under Dependent Local Differential Privacy. arXiv preprint arXiv:2102.07357.
  • Wang, Q., Guo, Y., Wang, X., Ji, T., Yu, L., & Li, P. (2020). AI at the Edge: Blockchain-Empowered Secure Multiparty Learning with Heterogeneous Models. IEEE Internet of Things Journal, 7 (10), 9600-9610.
  • Shen, J., Zhou, T., Lai, J., Li, P., & Moh, S. (2020). Secure and Efficient Data Sharing in Dynamic Vehicular Networks. IEEE Internet of Things Journal, 7 (9), 8208-8217.
  • Yu, L., Guo, Y., Wang, Q., Luo, C., Li, Z., Liao, W., & Li, P. (2020). Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach. IEEE Transactions on Cognitive Communications and Networking, 6 (2), 476-485.
  • Ji, T., Luo, C., Guo, Y., Wang, Q., Yu, L., & Li, P. (2020). Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach. IEEE Transactions on Computational Social Systems, 7 (1), 151-163.
  • Yu, L., Li, Z., Jin, W., Guo, Y., Wang, Q., Yan, X., & Li, P. (2020). STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. IEEE Transactions on Mobile Computing.
  • Guo, Y., Ji, T., Wang, Q., Yu, L., Min, G., & Li, P. (2020). Unsupervised Anomaly Detection in IoT Systems for Smart Cities. .
  • Luo, C., Ji, J., Wang, Q., Chen, X., & Li, P. (2020). Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach. IEEE Transactions on Network Science and Engineering, 7 (1), 227-236.
  • Wang, Q., Ji, T., Guo, Y., Yu, L., Chen, X., & Li, P. (2020). TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map. IEEE Access, 8 , 60598-60612.
  • Wang, Q., Guo, Y., Yu, L., & Li, P. (2020). Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach. IEEE Transactions on Emerging Topics in Computing, 8 (1), 148-158.
  • Liao, W., Luo, C., Salinas, S., & Li, P. (2019). Efficient Secure Outsourcing of Large-scale Convex Separable Programming for Big Data. IEEE Transactions on Big Data, 5 (3), 368-378.
  • Wang, Q., Ji, T., Guo, Y., Yu, L., Chen, X., & Li, P. (2019). TrafficChain: A Blockchain based Secure and Privacy-Preserving Traffic Map. IEEE Access.
  • Li, Z., Liao, W., Chen, X., Sun, J., Huang, X., & Li, P. (2018). Economic-Robust Transmission Opportunity Auction for D2D Communications in Cognitive Mesh Assisted Cellular Networks. IEEE Transactions on Mobile Computing, 17 (8), 1806-1819.
  • Luo, C., Yang, L., Min, G., & Li, P. (2018). Green TCP Transmission over Cognitive Radio Networks. IEEE Transactions on Vehicular Technology, 67 (8), 7585-7592.
  • Salinas, S., Luo, C., Chen, X., Liao, W., & Li, P. (2018). Efficient Secure Outsourcing of Large-scale Sparse Linear Systems of Equations. IEEE Transactions on Big Data, 4 (1), 26-39.
  • Luo, C., Ji, J., Wang, Q., Chen, X., & Li, P. (2018). Channel State Information Prediction in 5G Wireless Communications: A Deep Learning Approach. IEEE Transactions on Network Science and Engineering.
  • Luo, C., Ji, J., Chen, X., Li, Z., Yang, L., & Li, P. (2018). Parallel Secure Outsourcing of Large-scale Nonlinearly Constrained Nonlinear Programming Problems. accepted by IEEE Transactions on Big Data.
  • Zhuo, G., Jiang, Q., Guo, L., Li, Z., & Li, P. (2017). Privacy-Preserving Verifiable Set Operation in Big Data for Cloud-Assisted Mobile Crowdsourcing. IEEE Internet of Things Journal, 4 (2), 572-582.
  • Ding, H., Fang, Y., Huang, X., Pan, M., Li, P., & Glisic, S. (2017). Cognitive Capacity Harvesting Networks: Architectural Evolution Towards Future Cognitive Radio Networks. Communications Surveys and Tutorials, IEEE.
  • Li, Z., Liao, W., Chen, X., Sun, J., Huang, X., & Li, P. (2017). Economic-Robust Transmission Opportunity Auction for D2D Communications in Cognitive Mesh Assisted Cellular Networks. IEEE Transactions on Mobile Computing.
  • Li, X., Ding, H., Fang, Y., Pan, M., Li, P., Huang, X., & Glisic, S. (2017). Collaborative Spectrum Trading and Sharing for Cognitive Radio Networks. Handbook of Cognitive Radio.
  • Liao, W., Salinas, S., Li, Z., Li, P., & Loparo, K. A. (2017). Cascading Failure Attacks in the Power System: A Stochastic Game Perspective. IEEE Internet of Things Journal.
  • Wang, Q., Guo, Y., Yu, L., & Li, P. (2017). Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach. IEEE Transactions on Emerging Topics in Computing.
  • Luo, C., Zhang, K., Salinas, S., & Li, P. (2017). SecFact: Secure Large-scale QR and LU Factorizations. accepted by IEEE Transactions on Big Data.
  • Liao, W., Salinas, S., Li, Z., Li, P., & Pan, M. (2016). Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability. IEEE Transactions on Emerging Topics in Computing, 4 (4), 541-555.
  • Li, P. (2016). Privacy-Preserving Energy Theft Detection in Microgrids: A State Estimation Approach. IEEE Transactions on Power Systems.
  • Salinas, S., Chen, X., Ji, J., & Li, P. (2016). A Tutorial on Secure Outsourcing of Large-scale Computations for Big Data. IEEE Access [21693536], 4 , 1406-1416.
  • Zhuo, G., Jiang, Q., Guo, L., Li, Z., & Li, P. (2016). Privacy-preserving Verifiable Set Operation in Big Data for Cloud-assisted Mobile Crowdsourcing. IEEE Internet of Things Journal [23274662].
  • Kangas, M., Glisic, S., Fang, Y., & Li, P. (2015). Resource Harvesting in Cognitive Wireless Computing Networks With Mobile Clouds and Virtualized Distributed Data Centers: Performance Limits. IEEE Transactions on Cognitive Communications and Networking.