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Pan Li

Associate Professor, Department of Electrical, Computer and Systems Engineering
Investigates big data computing and analytics, security and privacy, and their applications in complex systems and networks
Office: 612 Olin
Phone Number: (216) 368-0382

Research Interests

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

Teaching Interests

Big data, communications and networks, cybersecurity.

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.
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., 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.
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, (), 1-1.
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.
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., 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, ().
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, ().
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.
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, ().
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, (), 1-1.
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, (), 1--38.
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, ().
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, ().
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], (), 1-Jan.
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, ().