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, “Deep learning with edge computing for localization of epileptogenicity using multimodal rs-fmri and eeg big data”, Autonomic Computing (ICAC), 2017 IEEE International Conference on. IEEE, 2017.
08005336.pdf (842.98 KB)
08005336.pdf (842.98 KB), “Mobee: Mobility-Aware Energy-Efficient Coded Caching in Cloud Radio Access Networks”, 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2017.
, “Mobile Edge Computing: Recent Efforts and Five Key Research Directions”, IEEE COMSOC MMTC Commun.-Frontiers, pp. 29-34, 2017. frontiers.pdf (212.94 KB)
frontiers.pdf (212.94 KB), “Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things”, IEEE Transactions on Big Data, pp. 1–1, 2017. Optimized Deep Learning for EEG Big Data and IoT.pdf (1.17 MB)
Optimized Deep Learning for EEG Big Data and IoT.pdf (1.17 MB), “SSFB: Signal-Space-Frequency Beamforming for Underwater Acoustic Video Transmission”, 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2017. 2324a180_Mehdi(SSFB).pdf (1.06 MB)
2324a180_Mehdi(SSFB).pdf (1.06 MB), “Understanding the Computational Requirements of Virtualized Baseband Units using a Programmable Cloud Radio Access Network Testbed”, IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2017. 2017_ICAC_CRAN.pdf (1.11 MB)
2017_ICAC_CRAN.pdf (1.11 MB), “UNISeC: Inspection, Separation, and Classification of Underwater Acoustic Noise Point Sources”, IEEE Journal of Oceanic Engineering, 2017. UNISeC.pdf (3.44 MB)
UNISeC.pdf (3.44 MB), “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.
, “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.
, “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. 1.4938411.pdf (13.44 MB)
1.4938411.pdf (13.44 MB), “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. PID4097001.pdf (419.12 KB)
PID4097001.pdf (419.12 KB), “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.
, “Model-based Thermal Anomaly Detection in Cloud Datacenters using Thermal Imaging”, IEEE Transaction on Cloud Computing (TCC), 2016.
, “Proactive Thermal-aware Resource Management in Virtualized HPC Cloud Datacenters”, IEEE Transaction on Cloud Computing (TCC), 2016.
, “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. ICAC2016.pdf (541.13 KB)
ICAC2016.pdf (541.13 KB), “RescueNet: Reinforcement-learning-based communication framework for emergency networking”, Computer Networks (Elsevier), vol. 98, pp. 14-28, 2016. CompNet_RescueNet_Lee.pdf (2.54 MB)
CompNet_RescueNet_Lee.pdf (2.54 MB), “Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness”, Proc. of IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, Waltham, MA, 2016.
, “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.
, Autonomic Computing: Foundations for a New Era in Computing. Kluwer Academic Publishers, 2015.
, “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. MASS_CFFR_v1_cameraready_primo.pdf (1.17 MB)
MASS_CFFR_v1_cameraready_primo.pdf (1.17 MB), “CometCloud: Enabling Software-Defined Federations for End-to-End Application Workflows”, Internet Computing, IEEE, vol. 19, no. 1, pp. 69–73, 2015. 2. CometCloud Enabling Software.pdf (770.23 KB)
2. CometCloud Enabling Software.pdf (770.23 KB), “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. IEEEJHBI_StressDetection.pdf (1.24 MB)
IEEEJHBI_StressDetection.pdf (1.24 MB), “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. a21-lee.pdf (1.39 MB)
a21-lee.pdf (1.39 MB), “DJP: Dynamic Joint Processing for Interference Cancellation in Cloud Radio Access Networks”, Proc. of Vehicular Technology Conference (VTC). IEEE, Boston, Massachusetts, USA, 2015. VTC'15_DJP_camera_ready2.pdf (2.3 MB)
VTC'15_DJP_camera_ready2.pdf (2.3 MB), “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. T-ASE_Pandey.pdf (1.77 MB)
T-ASE_Pandey.pdf (1.77 MB)Pages
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