Organic nervetronics is a new field of neuroprosthetics in which electrophysiological signals are relayed by the organic artificial synapses and artificial neurons instead of damaged nerves in the body. Artificial synapses and neurons can emulate the functions of biological sensorimotor  nerves with electric circuits integrated with sensors and actuators. Herein organic electronics emerged as attractive candidates for composing nervetronics based on easy tunability of material properties, good solution processability, and biocompatibility.

In this talk, I will focus on two challenging imaging systems: snapshot compressive imaging and coherent imaging under speckle noise interference. I will begin by reviewing the core mathematical modeling of the inverse problem corresponding to each system. I will develop a maximum likelihood estimator (MLE)-based optimization for each, employing untrained neural networks (NNs) to model the source structure.

A crucial yet unavailable component in high-performance photonic integrated circuits (ICs) and other chip-scale photonic systems is an on-chip light source that is efficient, economical, IC-compatible, and electronically addressable. In this talk, I will cover several types of on-chip sources, including III-V nanoLEDs and topologically protected microlasers, perovskite microlasers and luminescent hyperbolic metamaterials, and III-N spintronic THz emitters. I will also discuss emerging applications of these metamaterials and devices, such as photonic neuromorphic networks.