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Loai Danial
Ph.D

Loai is a PhD student. His research focuses on innovative approaches inspired by neuro-biology/cell-biology to design intelligent (reconfigurable) data converters and mixed-signals integrated circuits using hybrid CMOS-memristor. An interdisciplinary research that combines: VLSI circuits and architectures, mixed-signal solid state IC, sub-threshold analog design, machine learning, emerging memory technologies (memristors), neuromorphic and cytomorphic computing.

Loai received his B.Sc degree in electrical engineering from the Technion – Israel Institute of Technology at 2014. From 2013 to 2016 he was with IBM labs – Haifa as a hardware research student. He is a teaching assistant (in charge) of introduction to VLSI circuits course (046237) from 2015 to present. He received the 2017 Hershel Rich Technion innovation award, and have been awarded with a scholarship for outstanding PhD students, members of the Arab Society for the year 2017, and for M.Sc students for the years 2015-2016.

List of Publications:

Journal Publications:
L. Danial, N. Wainstein, S. Kraus, and S. Kvatinsky, “DIDACTIC: A Deeply Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors (submitted)”.

Conference Publications:
L. Danial, R. Daniel, E. Pikhay, E. Herbelin, N. Wainstein, N. Wald, Y. Roizin, and S. Kvatinsky, “A Sub-1 uA Y-Flash Poly Floating Gate Memristive Device for Neuromorphic Computing (submitted)”.

H. Abu Hanna, L. Danial, S. Kvatinsky, and R. Daniel, “Modeling Biochemical Reactions and Gene Networks with Memristors (submitted).”

R. Daniel, L. Rizik, and L. Danial, “Design Principles of Data Converters for Building Large-Scale Gene Networks in Living Cells”, 4th ACM International Conference on Nanoscale Computing and Communication 2017, (to appear) September 2017.

L. Danial and S. Kvatinsky, “Memristive Artificial Neural Networks Based Analog to Digital Converter (ADC)”, Proceedings of the Workshop on Memristor Technology, Design, Automation and Computing, January 2016.

Talks:
L. Danial, and S. Kvatinsky, “Analog to Digital Converter with Adaptive Memristive Artificial Neural Network”, International event of the Israeli microelectronics industry Chipex, May 2017.

Patents:
L. Danial, and S. Kvatinsky, “Reconfigurable DAC Implemented by Memristor Based Neural Network,” submitted.

R. Daniel, and L. Danial, “Machine Learning Algorithm and Uses Thereof,” US patent application no. 62/525, 242.

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