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Congratulations Dr Rawan Naous

posted May 16, 2017, 9:06 AM by Khaled salama   [ updated May 16, 2017, 3:40 PM ]
Dr Rawan Naous just defended her PhD which was highly received. Rawan worked on future computing systems.  Current CMOS-Based technologies are facing design challenges related to the continuous scaling down of minimum feature size according to Moore’s law. Moreover, the conventional computing architecture is no more an effectual way to fulfill modern applications demands, such as big data analysis, pattern recognition, and vector processing. Therefore, there is an exigent need to shift to new technologies, at both the architecture and the device levels. Recently, memristor devices and structures attracted attention for being promising candidates for this job. Memristor devices add a new dimension for designing novel circuits and systems. In addition, high-density memristor-based crossbar is widely considered to be the essential element for future memory and bio-inspired computing systems. However, there are numerous challenges that need to be addressed before the memristor genuinely replaces current memory and computing technologies. The details are outlined in her thesis  "Beyond Von Neuman:Memristor Architectures".  Prof. Fadi Kurdahi, UC-Irvine commented that " Overall, this is a high quality work, exemplified by a good mix of sound theory validated by thorough experimentation." Her work resulted in the following publications:
  1. M. Al-Shedivat, R. Naous, G. Cauwenberghs, and K.N. Salama "Memristors Empower Spiking Neurons with Stochasticity” IEEE Journal on Emerging and Selected Topics in Circuits and Systems vol.5, no. 2, pp. 242-253, 2015
  2. R. Naous, M. Al-Shedivat, and K.N. Salama “Stochasticity Modeling in Memristors” IEEE Transactions on Nanotechnology, vol. 15, no. 1, pp. 15-28, 2016
  3. R. Naous, M. Zidan, A. Sultan, and K. N. Salama, “Pilot-Assisted Readout for Passive Memristor Crossbars”. Microelectronics Journal 54, pp. 48-58, 2016
  4. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs and K. N. Salama, “Synaptic vs. Neuronal Stochasticity in Memristor-based neural networks”. AIP Advances. Vol 6. Issue 11, 2016
  5. M.A. Zidan, H. Omran, R. Naous, A. Sultan, H.A. Fahmy, WD. Lu, K.N. Salama, “Single-Readout High-Density Memristor Crossbar." Nature, Scientific Reports 6, pp. 18863-18863, 2016
  6. R. Naous, M. Zidan, A. Sultan, and K. N. Salama, “Statistical Analysis of Memristor Crossbar Memories”. International Journal of Unconventional Computing. Vol. 12 Issue 4, p251-264, 2016
  7. R. Naous and K. N. Salama, “SPICE Model for Stochastic Electronics” IEEE Transactions on Circuits and Systems I (submitted)
  8. R. Naous, R. Li, H. Fariborzi, and K.N. Salama “Approximate Computing with Stochastic Transistors”. IEEE Transactions on Circuits and Systems I (submitted)
Conferences
  1. M.AR. Saghir and R. Naous. "A configurable multi-ported register file architecture for soft processor cores." In Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), pp 27—29, Mangaratiba, Brazil, March 2007.
  2. R. Naous, M. Zidan, A. Sultan, and K.N. Salama. "Memristor based crossbar memory array sneak path estimation." In Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on, pp. 1-2. IEEE, Notre Dame, USA, August 2014
  3. M. Al-Shedivat, R. Naous, E. Neftci, G. Cauwenberghs, and K.N. Salama."Inherently stochastic spiking neurons for probabilistic neural computation." In Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on, pp. 356-359, Marseille, France, 2015
  4. A. Al-Halafi, L. Sboui, R. Naous, and B. Shehada, “gTBS: green Task-Based Sensing for energy efficient wireless sensor networks” IEEE conference on Computer Communications Workshop (INFOCOMM), San Francisco, USA, March 2016
  5. R. Naous, M. Zidan, A. Sultan, and K.N. Salama. " Channel Equalization Techniques for Non-volatile Memristor Memories" In 10th Annual Conference on Information Sciences and Systems (CISS),pp. 111-116, New Jersey, USA, March 2016
  6. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs, and K.N. Salama." Stochastic Synaptic Plasticity with Memristor Crossbar Arrays." in IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, Canada, May 2016
  7. R. Naous, and K.N. Salama “Approximate Computing with Stochastic Memristors” in The 15th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Dresden, Germany, August 2016
  8. R. Naous, and K.N. Salama “Utilization of Memristor Variability Towards Brain-Inspired Resilient Computing” in The 2nd International Workshop on Resiliency in Embedded Electronic Systems (REES), Lausanne, Switzerland, March 2017 (accepted)
  9. R. Naous, and K.N. Salama “Processing with Memristors for Stochastic and Approximate Computing” in The International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2017), Athens, Greece, April 2017 (accepted)
  10. H. Alahmadi, R. Naous, and K.N. Salama “Memristive Probabilistic Arithmetic Unit” in The International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2017), Athens, Greece, April 2017 (accepted)
Presentations and Posters
  1. R. Naous, M. Zidan, A. Sultan, and KN Salama “Statistical Analysis of Memristor Crossbar Memories” MemTDAC- CSW International Week of Unconventional Computing, Athens, Oct. 2014
  2. R. Naous, and K.N. Salama “Memristor Potential: Memory and Neuromorphic Applications” Electrical Engineering Seminar, King Abdullah University of Science and Technology (KAUST), March 2015
  3. R. Naous, M. Al-Shedivat, G. Cauwenberghs and K.N Salama, “Learning via Stochastic Memristive Neurons” Memristor Technology, Design, Automation and Computing Workshop (MemTDAC), HiPEAC, Prague, Czech Republic, Jan 2016
  4. R. Naous, M. Al-Shedivat, and K.N. Salama, “Switching Dynamics of Stochastic Memristors” Memristor Technology, Design, Automation and Computing Workshop (MemTDAC), HiPEAC, Prague, Czech Republic, Jan 2016
  5. R. Naous, and K.N. Salama “Neuro-Inspired Computing with Stochastic Electronics” Electrical Engineering Seminar, King Abdullah University of Science and Technology (KAUST), Feb. 2016
  6. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs, and K.N. Salama “Energy Efficient Neuro-Inspired Computing With Stochastic Electronics” KAUST-NSF Research Conference on Electronic Materials, Devices and Systems, March 2016
  7. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs and K. N. Salama, “Memristive Neural Networks: Synaptic vs. Neuronal Stochasticity”. European Material Research Society, Spring Meeting, Lille, France, May 2016.
  8. R. Naous, H. AlAhmadi, and K.N. Salama, “Memristive Approximate Adders: Design, Analysis and Evaluation” Memristor Technology, Design, Automation and Computing Workshop (mDAC), HiPEAC, Stockholm, Sweden, Jan 2017

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