activity
20172019
most citedTraining deep neural networks for the inverse design of nanophotonic structures

1.2k citations · 1.3k across the 5 of their papers we have counts for

collaborators

5 papers

physics.app-ph2019★ 9 cited

Neuromorphic Metasurface

Zhicheng Wu, Ming Zhou, Erfan Khoram +2

Metasurfaces have been used to realize optical functions such as focusing and beam steering. They use sub-wavelength nanostructures to control the local amplitude and phase of ligh…

physics.optics2019★ 40 cited

Controlling the Minimal Feature Sizes in Adjoint Optimization of Nanophotonic Devices Using B-spline Surfaces

Erfan Khoram, Xiaoping Qian, Ming Yuan +1

Adjoint optimization is an effective method in the inverse design of nanophotonic devices. In order to ensure the manufacturability, one would like to have control over the minimal…

eess.SP2019

Ultra Low-Power System for Remote ECG Monitoring

Ehsan Hadizadeh, Rozhan Rabbani, Zohreh Azizi +4

A complete system solution extracting signals from the patient chest with three leads including motion artifact removal in both analog and digital implementations are described. Th…

physics.optics2018★ 11 cited

Nanophotonic Media for Artificial Neural Inference

Erfan Khoram, Ang Chen, Dianjing Liu +4

We show optical waves passing through a nanophotonic medium can perform artificial neural computing. Complex information, is encoded in the wave front of an input light. The medium…

physics.optics2017★ 1.2k cited

Training deep neural networks for the inverse design of nanophotonic structures

Dianjing Liu, Yixuan Tan, Erfan Khoram +1

Data inconsistency leads to a slow training process when deep neural networks are used for the inverse design of photonic devices, an issue that arises from the fundamental propert…