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2016
X. Zhao and Pompili, D., BD-ZCS: Multi-cell Interference Coordination via Zadoff-Chu Sequence-based Block Diagonalization, Proc. of IEEE International Conference on Computer Communications (INFOCOM). IEEE, San Francisco, CA, USA, 2016.
M. - P. Hosseini, Soltanian-Zadeh, H., Elisevich, K., and Pompili, D., Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction, Proc. of IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, Greater Washington, D.C., USA, 2016.
M. - P. Hosseini, Nazem-Zadeh, M. R., Pompili, D., Jafari-Khouzani, K., Elisevich, K., and Soltanian-Zadeh, H., Comparative Performance Evaluation of Automated Segmentation Methods of Hippocampus from Magnetic Resonance Images of Temporal Lobe Epilepsy Patients, Medical Physics Journal, vol. 43, no. 1, pp. 538-553, 2016.PDF icon 1.4938411.pdf (13.44 MB)
X. Zhao, Sadhu, V., and Pompili, D., Low-Power All-Analog Circuit for Rectangular-Type Analog Joint Source Channel Coding, Proc of IEEE International Symposium on Circuits & Systems (ISCAS). IEEE, Montreal, Canada, 2016.PDF icon PID4097001.pdf (419.12 KB)
P. Pandey and Pompili, D., MobiDiC: Exploiting the Untapped Potential of Mobile Distributed Computing via Approximation, Proc. of IEEE International Conference on Pervasive Computing and Communications (PerCom). Sydney, Australia, 2016.
E. K. Lee, Viswanathan, H., and Pompili, D., Model-based Thermal Anomaly Detection in Cloud Datacenters using Thermal Imaging, IEEE Transaction on Cloud Computing (TCC), 2016.
E. K. Lee, Viswanathan, H., and Pompili, D., Proactive Thermal-aware Resource Management in Virtualized HPC Cloud Datacenters, IEEE Transaction on Cloud Computing (TCC), 2016.
M. - P. Hosseini, Hajisami, A., and Pompili, D., Real-time Epileptic Seizure Detection from EEG Signals via Random Subspace Ensemble Learning, Proc. of IEEE International Conference on Autonomic Computing (ICAC). IEEE, Wurzburg, Germany, 2016.PDF icon ICAC2016.pdf (541.13 KB)
E. K. Lee, Viswanathan, H., and Pompili, D., RescueNet: Reinforcement-learning-based communication framework for emergency networking, Computer Networks (Elsevier), vol. 98, pp. 14-28, 2016.PDF icon CompNet_RescueNet_Lee.pdf (2.54 MB)
G. Salles-Loustau, Sadhu, V., Pompili, D., Zonouz, S., and Sritapan, V., Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness, Proc. of IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, Waltham, MA, 2016.
2015
X. Zhao and Pompili, D., AMMCA: Acoustic Massive MIMO with Carrier Aggregation for Boosting the Underwater Communication Data Rate, Proc. of ACM International Conference on Underwater Networks & Systems (WUWNet). IEEE, Washington, DC, 2015.
M. Parashar and Hariri, S., Autonomic Computing: Foundations for a New Era in Computing. Kluwer Academic Publishers, 2015.
A. Hajisami and Pompili, D., Cloud-CFFR: Coordinated Fractional Frequency Reuse in Cloud Radio Access Network (C-RAN), Proc. of IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015.PDF icon MASS_CFFR_v1_cameraready_primo.pdf (1.17 MB)
J. Diaz-Montes, Abdelbaky, M., Zou, M., and Parashar, M., CometCloud: Enabling Software-Defined Federations for End-to-End Application Workflows, Internet Computing, IEEE, vol. 19, no. 1, pp. 69–73, 2015.PDF icon 2. CometCloud Enabling Software.pdf (770.23 KB)
P. Pandey, Lee, E. K., and Pompili, D., A Distributed Computing Framework for Real-time Detection of Stress and of its Propagation in a Team, IEEE Journal of Biomedical and Health Informatics (JBHI), 2015.PDF icon IEEEJHBI_StressDetection.pdf (1.24 MB)
E. K. Lee, Viswanathan, H., and Pompili, D., Distributed Data-centric Adaptive Sampling for Cyber-Physical Systems, ACM Transaction on Autonomous and Adaptive Systems (TAAS), vol. 9, no. 4, pp. 1-21, 2015.PDF icon a21-lee.pdf (1.39 MB)
A. Hajisami and Pompili, D., DJP: Dynamic Joint Processing for Interference Cancellation in Cloud Radio Access Networks, Proc. of Vehicular Technology Conference (VTC). IEEE, Boston, Massachusetts, USA, 2015.PDF icon VTC'15_DJP_camera_ready2.pdf (2.3 MB)
P. Pandey, Pompili, D., and Yi, J., Dynamic Collaboration between Networked Robots and Clouds in Resource-constrained Environments, IEEE Transaction on Automation Science and Engineering (T-ASE), vol. 12, no. 2, pp. 471-480, 2015.PDF icon T-ASE_Pandey.pdf (1.77 MB)
D. Pompili, Hajisami, A., and Viswanathan, H., Dynamic provisioning and allocation in Cloud Radio Access Networks (C-RANs), Ad Hoc Networks (Elsevier), vol. 30, pp. 128–143, 2015.PDF icon Ad-Hoc_Journal.pdf (2.3 MB)
A. Hajisami, Tran, T. X., and Pompili, D., Dynamic Provisioning for High Energy Efficiency and Resource Utilization in Cloud RANs, Proc. of IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015.PDF icon PID3844545.pdf (283.89 KB)
T. X. Tran and Pompili, D., Dynamic Radio Cooperation for Downlink Cloud-RANs with Computing Resource Sharing, Proc. of IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015.PDF icon IEEE_MASS_2015_Harry_CamReady_FinalSubmission.pdf (334.85 KB)
T. Jin, Sun, Q., Bui, H., Romanus, M., Podhorszki, N., Klasy, S., Kolla, H., Chen, J., Hager, R., Chang, C. - S., and Parashar, M., Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows, Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium. Hyderabad, India, 2015.
I. Petri, Zou, M., Zamani, A. Reza, Diaz-Montes, J., Rana, O. F., and Parashar, M., Integrating Software Defined Networks within a Cloud Federation, 15th International Symposium on Cluster, Cloud and Grid Computing (CCCGrid 2015). Shenzhen, China, 2015.
M. Rahmati and Pompili, D., Interference Cancellation in Multiuser Acoustic Underwater Networks Using Probabilistic SDMA, Proc. of IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015.PDF icon Rahmati2015Interference.pdf (1.06 MB)
I. Petri, Diaz-Montes, J., Zou, M., Beach, T., Rana, O., and Parashar, M., Market Models for Federated Clouds, pp. 1-14, 2015.PDF icon 1. Market Models for Federated Clouds.pdf (1.42 MB)

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