Publications by Demetri Psaltis

Solar Multimodal Transformer: Intraday Solar Irradiance Predictor Using Public Cameras and Time Series

Demetri Psaltis, Mario Paolone, Christophe Moser, Luisa Lambertini, Yanan Niu

Accurate intraday solar irradiance forecasting is crucial for optimizing dispatch planning and electricity trading. For this purpose, we introduce a novel and effective approach that includes three distinguishing components from the literature: 1) the unco ...

IEEE2025

Training hybrid neural networks with multimode optical nonlinearities using digital twins

Demetri Psaltis, Christophe Moser, Niyazi Ulas Dinç

The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. However, their exponentially increasing size creates a proportionally greater demand for energy and computational hard ...

Walter de Gruyter GmbH2025

Guided Nonlinear Optics for Information Processing

Demetri Psaltis

This special issue explores the dynamic and rapidly evolving field of optical computing, with a focus on guided nonlinear optics for information processing. Recent years have seen a resurgence of interest in this area [1], fuelled by groundbreaking experim ...

WALTER DE GRUYTER GMBH2025

Focusing Based on Singular Eigenstates in Non-Hermitian Systems

Demetri Psaltis

Wavefront shaping methods by spatial light modulators, have been an invaluable tool for a plethora of applications in photonics of complex media [1]. In fact in a series of ground-breaking experiments, reverse propagation by phase conjugation was used to c ...

IEEE2025

Resource-efficient photonic networks for next-generation AI computing

Demetri Psaltis, Christophe Moser, Niyazi Ulas Dinç

Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics' unique st ...

SPRINGERNATURE2025

Meteorological information prediction using images from webcams

Demetri Psaltis, Christophe Moser, Luisa Lambertini

One aspect of the present invention proposes a method of predicting meteorological information by using an artificial deep neural network. The present invention according to one example focuses on image processing, specifically on fusing a plurality of ima ...

2025

Power Control in Non-Hermitian Lattices Through Singular Value Decomposition

Demetri Psaltis

Periodic structures in optics, like gratings or photonic crystals have played a pivotal role in both basic and applied research applications over the decades [1]. As far as, integrated photonics is concerned, another highly relevant optical structure, that ...

IEEE2025

Ptychographic imaging with a fiber endoscope via wavelength scanning

Demetri Psaltis, Christophe Moser

Ptychography has become a popular computational imaging method for microscopy in recent years. In the present work we employ a wavelength scanning ptychography technique enhanced by neural networks for imaging with a fiber endoscope. Illumination of the ob ...

2024

Subwavelength imaging using a solid-immersion diffractive optical processor

Demetri Psaltis, Carlo Gigli, Niyazi Ulas Dinç

Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resolution remains a challenge. Here, we demonstrate subwavelength imaging of phase ...

Springernature2024

An actor-model framework for visual sensory encoding

Demetri Psaltis, Diego Ghezzi, Christophe Moser, Babak Rahmani

A fundamental challenge in neuroengineering is determining a proper artificial input to a sensory system that yields the desired perception. In neuroprosthetics, this process is known as artificial sensory encoding, and it holds a crucial role in prostheti ...

Nature Portfolio2024