Invited:
George Barbastathis, Massachusetts Institute of Technology, USA
Title: Too far, too small, too dark, too foggy: on the use of Deep Learning for computational imaging in adverse conditions
 
Yang Chai, The Hong Kong Polytechnic University, China
Title: UV Excited Optoelectronic Synpatic Devices for Neuromorphic Visual System
 
I-Wei Chen, University of Pennsylvania, USA
Title: A Unified Picture of Nanometallic and Filamentary ReRAM
 
Hyunsang Hwang, POSTECH, Korea
Title: RRAM-based synapse and I&F neuron device for neuromorphic pattern recognition system
 
Jeehwan Kim, Massachusetts Institute of Technology, USA
Title: Epitaxial neuromorphic computing arrays with controlled weight values
 
Runwei Li, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, China
Title: Controllable quantum conductance in RRAM devices
 
Wei Lu, University of Michigan, USA
Title: RRAM fabric for neuromorphic computing applications
 
Wolfgang Maass, Graz University of Technology, Germany
Title: Spike-based in-memory-computing
 
Feng Miao, Nanjing University, China
Title: Robust memristors based on layered 2D materials
 
Halid Mulaosmanovic, NaMLab gGmbH, Germany
Title: Ferroelectric and memristive devices for unconventional computing
 
Xiangshui Miao, Huazhong University of Science and Technology, China
Title: Memcomputing: the fusion of memory and computing
 
Pritish Narayanan, IBM, USA
Title: Device-Circuit Codesign for Future Deep Learning Systems with Analog Memory
 
Themis Prodromakis, University of Southampton, UK
Title: Harnessing the power of the brain with metal-oxide memristors
 
Sabina Spiga, CNR-IMM, Agrate Brianza, Italy
Title: Exploiting the non-linear soft-bound switching dynamics of oxide-RRAM for spiking neural network
 
Dmitri Strukov, University of California, Santa Barbara, USA
Title: Mixed-Signal Neuromorphic Inference Accelerators
 
Joe Z. Tsien, Augusta University, USA
Title: On the Basic Wiring and Computational Logic of the Brain’s Neural Networks
 
Ilia Valov, RWTH-Aachen, Germany
Title: Materials properties – memristor performance: The importance of doping and atomic manipulation for memory and neuromorphic applications
 
Han Wang, University of Southern California, USA
Title: Stochastic features in low dimensional material devices for beyond-von-Neumann computing
 
Huaqiang Wu, Tsinghua University, China
Title: Computation in memory: from device to chip
 
Qiangfei Xia, University of Massachusetts, USA
Title: Memristor Crossbar Arrays for Brain-Inspired Computing
 
Joshua Yang, University of Massachusetts, USA
Title: Resistive and Capacitive Neural Networks Enabled by Diffusive Memristors
 
Yuchao Yang, Peking University, China
Title: Brain Inspired Nanoionic Devices and Networks for Efficient Computing