Journal Submissions

  1. Y. Wang, X. Lin, and M. Pedram, “A Game-Theoretic Optimization Framework for Computation Offloading in a Heterogeneous Mobile Cloud Computing System.”
  2. Y. Wang, X. Lin, and M. Pedram, “A Model-Based Control Algorithm for Households Equipped with Residential Photovoltaic Power Generation and Energy Storage Systems.”
  3. Y. Wang, X. Lin, and M. Pedram, “A Stackelberg Game-Based Optimization Framework of the Smart Grid with Distributed PV Power Generations an Data Centers.”
  4. V. Akhlaghi, M. Kamal, A. Afzali-Kusha, and M. Pedram. “An Efficient Network on-Chip Architecture Based on Isolating Local and non-Local Communications.”
  5. T. Cui, Y. Wang, S. Nazarian, and M. Pedram. “A Learning-Based Profit Maximization Algorithm for Utility Companies in an Oligopolistic Energy Market with Dynamic Prices and Intelligent Users.”
  6. T. Cui, Y. Wang, S. Nazarian, and M. Pedram. “A Learning-Based Profit Maximization Algorithm for Utility Companies in an Oligopolistic Energy Market with Dynamic Prices and Intelligent Users.”
  7. Y. Wang, X. Lin, N. Chang, and M. Pedram, “Reconfiguration Algorithms of Photovoltaic Systems Accounting for Partial Shading and Ambient Temperature,” submitted to IEEE Journal of Emerging and Selected Topics in Power Electronics, Jan. 2014.
  8. M. Ansari, H. Afzali-Kusha, B. Ebrahimi, Z. Navabi, A. Afzali-Kusha, and M. Pedram, “A Near-Threshold 7T SRAM Cell with High Write and Read Margins and Low Write Time for Sub-20 nm FinFET Technologies.”
  9. Y. Wang, X. Lin, and M. Pedram. “A game-theoretic optimization framework for the smart grid with geographically-distributed data centers and other energy consumers operating under real-time location-specific energy pricing functions.”
  10. X. Lin, Y. Wang, N. Chang, and M. Pedram. “Capital Cost-Aware Reconfigurable Photovoltaic System Design and Optimization.”
  11. Y. Wang and M. Pedram. “Model-free reinforcement learning and Bayesian classification in system-level power management.”
  12. H. Goudarzi and M. Pedram. “Hierarchical SLA-Driven Resource Management for Peak Power-Aware and Energy-Efficient Operation of a Cloud Datacenter.”
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