Journal Papers

  • H. Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2017). "Efficient Processing of Big Uncertain Data from Multiple Sensors with High Order Multi-Hypothesis: An Evidence Theoretic Approach", International Journal of Big Data Intelligence, accepted.

  • L. Qian, J. Zhu, S. Zhang (2017). "Survey of Wireless Big Data", Journal of Communications and Information Networks, accepted.

  • H. Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2016),“Multisensor Change Detection based on Big Time-Series Data and Dempster-Shafer Theory”, Concurrency and Computation: Practice and Experience.

  • L. Qian, Z. Han, Y. Chen, C. Xu, D. Kataria (2016). “Smart Device Enabled Sensor Networks: Theory and Practice (SDES)”, International Journal of Distributed Sensor Networks.

  • X. Dong, S. Mahmood, J. Bassey, L. Qian, D. Lu, K. Grise (2016). “IEEE Big Data Competition 2016: CNN Based Forecasting of Hourly Rental Bike Demand in New York City”, in preparation.

  • Y. Wang, H. Li, and L. Qian (2016). “Belief Propagation and Quickest Detection Based Cooperative Spectrum Sensing in Heterogeneous and Dynamic Environments”, submitted to IEEE Transactions on Wireless Communications.

  • J. Kamto, W. Li, L. Qian, J. Fuller, and J. Attia (2016).“OPNET Assessment of Key Distribution and Management in Home Area Networks”, submitted to ACM Transactions on Cyber-Physical Systems.

  • Joseph Kamto, Lijun Qian, Wei Li, and Zhu Han, “λ-Augmented Tree for Robust Data Collection in Advanced Metering Infrastructure”, International Journal of Distributed Sensor Networks, Hindawi publishing corp., 2015.

  • Yuzhong Yan, Mahsa Hanifi, Liqi Yi, and Lei Huang, “Building a Productive Domain-Specific Cloud for Big Data Processing and Analytics Service.” Journal of Computer and Communications, published in Vol. 3, Issue 5, pp. 107-117. 2015

  • Conference Papers

  • H. Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2017). “Evidence Theory Enabled Quickest Change Detection Using Big Time-Series Data from Internet of Things”, 19th International Conference on Data Mining, Big Data, Database and Data System, accepted.

  • X. Dong, L. Qian, and L. Huang (2017). “Short-Term Load Forecasting in Smart Grid: A Combined CNN and K-Means Clustering Approach”, IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2017), accepted.

  • Chao Chen , Yuzhong Yan , Xishuang Dong and Lei Huang, “A Scalable and Productive Workflow-based Cloud Platform for Big Data Analytics,” 2016 IEEE International Conference on Big Data Analysis, (ICBDA 2016) Hangzhou, China, March 12-14, 2016

  • Chao Chen , Yuzhong Yan , Xishuang Dong and Lei Huang, “A Scalable and Productive Workflow-based Cloud Platform for Big Data Analytics,” 2016 IEEE International Conference on Big Data Analysis, (ICBDA 2016) Hangzhou, China, March 12-14, 2016

  • David Zhou, Y. Yang, and H. Yan, “A Smart Virtual Eye Mobile System for the Visually Impaired”, IEEE Potentials, accepted for publication.

  • H. Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2016). “Multisensor Change Detection based on Big Time-Series Data and Dempster-Shafer Theory”, IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE), August 23-26, Tianjin, China.

  • W. Oduola, X. Li, L. Qian, C. Duan, F. Wu, E. Dougherty (2016). “Analysis and Control of Genetic Regulatory Systems with Switched Drug Inputs,” IEEE International Conference on Biomedical and Health Informatics, Las Vegas, NV, USA, February 24-27, 2016.

  • H. Jafari, X. Li, L. Qian (2016). “Efficient Processing of Uncertain Data Using Dezert-Smarandache Theory: A Case Study”, IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2016), Auckland, New Zealand, August 8-12, 2016.

  • O. Omotere, W. Oduola, N. Zou, X. Li, L. Qian, and D. Kataria (2016). “Distributed Spectrum Monitoring and Surveillance using a Cognitive Radio based Testbed”, IEEE Sarnoff Symposium, Sep 19-21, 2016, Newark, NJ, USA.

  • X. Dong, L. Qian, Y. Guan, L.Huang, Q. Yu, J. Yang (2016). “Deep Learning based Ensemble Method for Named Entity Recognition in Electronic Medical Records”, New York Scientific Data Summit.

  • Y. Yan, N. Del Rio, T. Lebo, L. Huang and L. Qian (2016). “Performance Evaluation of Big RDF Data on Cassandra”, The First Workshop of Mission-Critical Big Data Analytics, PVAMU.

  • S. Bamgbose, Y. Zhang, and L. Qian (2016). “IMP-based Synchronization Controller for Distributed Three-Phase Inverter with Uncertain Loads”, IEEE International Conference on Mechatronics and Automation, Aug 7-10, 2016, Best Paper Finalist.

  • Suxia Cui, Lin Li, Lei Huang, Yonghui Wang, “Enhance Computing Curricula with High-Performance Computing Teaching and Research,” ASEE’s 122nd Annual Conference & Exposition, June 14-17, 2015, Seattle, WA

  • Wasiu Opeyemi Oduola, Nnaemeka Okafor, Oluwaseyi Omotere, Lijun Qian, and Deepak Kataria, “Experimental Study of Hierarchical Software Defined Radio Controlled Wireless Sensor Network”, in Proceedings of the IEEE Sarnoff Symposium, Newark, NJ, Sep 21-23, 2015.

  • Hossein Jafari, Xiangfang Li, Lijun Qian, and Yuanzhu Chen, “Community Based Sensing: A Test Bed for Environment Air Quality Monitoring using Smartphone paired Sensors”, in Proceedings of the IEEE Sarnoff Symposium, Newark, NJ, Sep 21-23, 2015.

  • Yuzhong Yan, Lei Huang, and Liqi Yi, “Is Apache Spark Scalable to Seismic Data Analytics and Computations”, IEEE International Conference on Big Data, Santa Clara, CA, Oct 29 – Nov 1, 2015.

  • Yuzhong Yan, Chao Chen, and Lei Huang, “A Productive Cloud Computing Platform Research for Big Data Analytics”, 7th IEEE International Conference on Cloud Computing technology and Science (IEEE CloudCom 2015), Vancouver, Canada, Nov 30 – Dec 3, 2015.

  • Thesis/Dissertation

  • Yuzhong Yan, “A Template-based Seismic Data Analytics Cloud Platform”, MS Thesis, Dec 2015.