StreamCast: Fast and Online Mining of Power Grid Time Sequences
B. Hooi, H.A. Song, A. Pandey, M. Jereminov, L. Pileggi, and Christos Faloutsos. StreamCast: Fast and Online Mining of Power Grid Time Sequences. Proceedings of the 2018 SIAM.
Analysis and Background Self-Calibration of Comparator Offset in Loop-Unrolled SAR ADCs
S. Liu, T. Rabuske, J. Paramesh, L. Pileggi, and J. Fernandes, “Analysis and Background Self-Calibration of Comparator Offset in Loop-Unrolled SAR ADCs”, IEEE Transactions on Circuits and Systems I, Vol. 65, No. 2, pp. 458-470, February 2018.
PowerCast: Mining and Forecasting Power Grid Sequences
H.A. Song, B. Hooi, A. Pandey, M. Jereminov, L. Pileggi, C. Faloutsos, “PowerCast: Mining and Forecasting Power Grid Sequences”, ECML-PKDD 2017 Conference, September 2017.
Self-healing Narrowband Filters via 3D Heterogeneous Integration of AlN MEMS and CMOS chips
E. Calayir, J. Xu, L. Pileggi, G. K. Fedder, N. Singh, S. Merugu and G. Piazza, “Self-healing Narrowband Filters via 3D Heterogeneous Integration of AlN MEMS and CMOS chips”, 2017 IEEE International Ultrasonics Symposium (IUS), Washington, D.C., September 2017.
Pandey, Jereminov, Hug and Pileggi receive 2017 PES Prize Paper Award
Carnegie Mellon University team recognized with a Prize Paper Award at the Power and Energy Society (PES) General Meeting in Chicago IL, July 17, 2017. Their paper was titled: Improving Power Flow Robustness via Circuit Simulation Methods.
A Self-Calibrating Sense Amplifier for A True Random Number Generator Using Hybrid FinFET-Straintronic MTJ
S. Bhuin, J. Sweeney, S. Pagliarini, A. K. Biswas, L. Pileggi, “A Self-Calibrating Sense Amplifier for A True Random Number Generator Using Hybrid FinFET-Straintronic MTJ”, IEEE International Symposium on Nanoscale Architectures (NANOARCH), July 2017.
A Mixed-Signal Oscillatory Neural Network Architecture for Integration with Resistive Crossbar Memory Arrays
T. C. Jackson and L. Pileggi, “A Mixed-Signal Oscillatory Neural Network Architecture for Integration with Resistive Crossbar Memory Arrays”, TECHCON 2017, Austin, Texas.
A Self-Calibrating Sense Amplifier for a True Random Number Generator Using Strained MTJ
S. Bhuin and L. Pileggi, “A Self-Calibrating Sense Amplifier for a True Random Number Generator Using Strained MTJ”, TECHCON 2017, Austin, Texas.
Linear Load Model for Robust Power System Analysis
M. Jereminov, A. Pandey, H.A. Song, B. Hooi, C. Faloutsos, L. Pileggi, “Linear Load Model for Robust Power System Analysis”, IEEE PES Integrative Smart Grid Technologies Europe, September 2017.
Strained MTJs with Latch-based Sensing for Stochastic Computing
S. Bhuin, A. Biswas, L.Pileggi, “Strained MTJs with Latch-based Sensing for Stochastic Computing”, IEEE International Conference on Nanotechnology, July 2017.
