Journal Papers

  • H. Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2018). "Efficient Processing of Big Uncertain Data from Multiple Sensors with High Order Multi-Hypothesis: An Evidence Theoretic Approach", International Journal of Big Data Intelligence, Vol.5(3), pp.177-190.

  • J. Wang, Y. Gong, L. Qian, R. Jantti, M. Pan, Z. Han (2018). "Data-Driven Optimization Based Primary Users' Operational Privacy Preservation", IEEE Transactions on Cognitive Communications and Networking, accepted.

  • X. Cao, Z. Song, B. Yang, L. Qian, Z. Han (2018). "Modeling and Analysis of LTE-U/Wi-Fi Coexistence Networks with Full-duplex MAC", submitted to IEEE Transactions on Communications.

  • Y. Wang, H. Li, and L. Qian (2017). "Belief Propagation and Quickest Detection Based Cooperative Spectrum Sensing in Heterogeneous and Dynamic Environments", IEEE Transactions on Wireless Communications, Vol.16(11), pp.7446-7459.

  • L. Qian, J. Zhu, S. Zhang (2017). "Survey of Wireless Big Data", Journal of Communications and Information Networks, 2(1), Mar. 2017, pp.1-18.

  • L. Huang, X. Dong, T. Clee (2017). "A Scalable Deep Learning Platform For Identifying Geological Features from Seismic Attributes," The Leading Edge, Vol. 36 no. 3 pp. 249-256.

  • 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, Oct 2016, pp.1-11.

  • 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.

  • David Zhou, Y. Yang, and H. Yan (2016). "A Smart Virtual Eye Mobile System for the Visually Impaired", IEEE Potentials, v.35(6), pp. 13-20.

  • Joseph Kamto, Lijun Qian, Wei Li, and Zhu Han, "?-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

  • S. Bamgbose, X. Li, L. Qian (2018). "Neural Network Optimized Controller for Motion and Position Control in Autonomous Systems", 14th IEEE International Conference on Control & Automation (ICCA 2018), June2018, Alaska, USA.

  • S. Chowdhury, X. Dong, L. Qian, X. Li, Y. Guan, J. Yang, Q. Yu (2018). "A Multitask bi-directional RNN Model for Named Entity Recognition on Electronic Medical Records", International Conference on Intelligent Biology and Medicine (ICIBM 2018), June 10-12, 2018, Los Angeles, USA.

  • O. Omotere, J. Fuller, L. Qian, andZ. Han (2018). "Spectrum Occupancy Prediction in Coexisting Wireless Systems using Deep Learning", submitted to VTC 2018.

  • B. Yang, X. Cao, and L. Qian (2018). "A Scalable MAC Framework for Internet of Things Assisted by Machine Learning", submitted to VTC 2018.

  • R. Sobayo, H.Wu, R. Ray and L. Qian (2018). "Integration of Convolutional Neural Network and Thermal Images into Soil Moisture Estimation", ICDIS 2018, April 8-10, South Padre Island, USA.

  • I. Olakodana, Y. Wang, L. Qian (2017). "Advanced Data Processing for Communication-constrained Underwater Domain", The Eleventh ACM International Conference on Underwater Networks and Systems (WUWNet 2017), Nov. 6-8, Halifax, NS, Canada

  • X. Dong, S. Chowdhury, L. Qian, Y. Guan, J. Yang, Q. Yu (2017). "Transfer Bi-directional LSTM RNN for Named Entity Recognition in Chinese Electronic Medical Records", IEEE HealthCom, Oct 12-15, 2017, Dalian, China.

  • J. Wang, Y. Gong, L. Qian, R. Jäntti, M. Pan, Z. Han (2017). "Primary Users' Operational Privacy Preservation via Data-Driven Optimization", IEEE Globecom, Singapore (Best Paper Award)

  • O. Omotere, L. Qian, R. Jäntti, M. Pan, Z. Han (2017). "Big RF Data Assisted Cognitive Radio Network Coexistence in 3.5GHz Band", the 26th International Conference on Computer Communications and Networks (ICCCN 2017), July 31- Aug 3, Vancouver, Canada.

  • X. Dong, L. Qian, and L. Huang (2017). "A CNN Based Bagging Learning Approach to Short-Term Load Forecasting in Smart Grid", The 3rd IEEE International Conference on Cloud and Big Data Computing, Aug 4 - 8, San Francisco, CA, USA.

  • C. Chen, Y. Yan, L. Huang, and L. Qian (2017). "Implementing a Distributed Volumetric Data Analytics Toolkit on Apache Spark", New York Scientific Data Summit (NYSDS), Aug 6-9, New York, NY, USA.

  • 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, June 15-16, Toronto, Canada.

  • 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), Feb 13-16, Juji, Korea.

  • O. Adejuwon, H. Wu, Y. Yan, and L. Qian (2017). "Performance Evaluation of Target Identification Model Using Deep Learning", The 15th International Conference on Software Engineering Research and Practice, July 17-20, Las Vegas, NV, USA.

  • D. Mistry, Y. Zhu, L. Huang (2017). "Scalable Intelligent Oilfield Streaming Data Analytics Platform," the Fifth Digital Oilfield Summit Forum & International Academic Conference (DOSFIAC 2017).

  • J. Dennis, L. Huang, W. Lim, H. Wu, and Y. Yan (2017). "Implementing Deep Neural Networks on Fresh Breeze," The International Parallel Computing Conference (Parco 2017).

  • H. Asaadi, D. Khaldi and B. Chapman (2016). "A Comparative Survey of the HPC and Big Data Paradigms: Analysis and Experiments," 2016 IEEE International Conference on Cluster Computing (CLUSTER), Taipei, 2016, pp. 423-432.

  • C. Wang, S. Chandrasekaran, and B. Chapman (2016). "cusFFT: A High-Performance Sparse Fast Fourier Transform Algorithm on GPUs", the 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, Illinois, USA.

  • R. Xu, S. Chandrasekaran, X. Tian, and B. Chapman (2016). "An Analytical Model-based Auto-tuning Framework for Locality-aware Loop Scheduling", International Supercomputing Conference (ISC), Frankfurt, Germany.

  • 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

  • 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.

  • Rengan Xu, "Optimizing the Performance of Directive-Based Programming Model for GPGPUs", PhD dissertation, May 2016.

  • Cheng Wang, "High-Performance Sparse Fourier Transform on Parallel Architectures", PhD dissertation, May 2016.

  • Darshita Mistry, "Real-time Video Streaming Analysis using Apache Spark", M.S. Project, May 2016.

  • Swetha Kamani, "Web-based Data Visualization Using D3", M.S. Project, May 2016.

  • Rekha GJ, "Study of Big RDF Data Queries and Performance", M.S. Project, May 2016.

  • Ankita Patel, "A WEB-BASED EXECUTIVE DASHBOARD USING NODE.JS", M.S. Project, Dec. 2016.

  • Jamail LaVan, "RDF Performance Analysis using NoSQL Store in Cassandra", M.S. Project, Dec. 2016.

  • Joshua Bassey, "Efficient Algorithm for Computation of Dempster-Shafer Theoretic Conditionals For Big Hard/Soft Data Fusion", M.S. Thesis, Aug 2016.

  • Safat Mahmood, "Demand Forecasting using Convolutional Neural Networks on Big Real World Data", M.S. Thesis, May 2017.

  • Oluseyi David Adejuwon, "Target Identification using Deep Learning", M.S. Thesis, Aug 2017.

  • Ludwig Murillo, "DeepODT: A Real-time Object Detection and Tracking System using Deep Learning on Smart Drone", M.S. Thesis, Dec 2017.

  • Remilekun Sobayo, "Deep Learning for Soil Moisture Estimation from Thermal Images", M.S. Thesis, Dec 2017.

  • Ibrahim Latunde Olokodana, "Advanced Data Processing for Communication-Constrained Underwater Domain", M.S. Thesis, Dec 2017.