Publications by Navid Borhani | EPFL Graph Search

Multicore fiber endoscope for phase imaging based on intensity recording using deep neural networks

Navid Borhani, Demetri Psaltis, Christophe Moser, Eirini Kakkava

The present invention is related to an endoscopic system for phase imaging, comprising a multicore waveguide (080), an optical system comprising at least one first light source (002), for illuminating the sample to be examined, a first camera (010) that is ...

2022

Full characterization of partially measured systems with neural networks

Navid Borhani, Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Eirini Kakkava, Ugur Tegin

IEEE2021

Learning to See and Compute through Multimode Fibers

Navid Borhani, Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Eirini Kakkava, Ugur Tegin

We propose a computational method for controlling the output of a multimode fiber using machine learning. Arbitrary images can be projected with amplitude-only calibration (no phase measurement) and fidelities on par with conventional full-measurement meth ...

IEEE2021

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Navid Borhani, Demetri Psaltis, Christophe Moser, Babak Rahmani, Eirini Kakkava, Ugur Tegin

Deep neural networks (DNNs) are employed to recover information after its propagation through a multimode fiber (MMF) in the presence of wavelength drift. The intensity distribution of the speckle patterns generated at the output of an MMF when an input wa ...

2020

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Navid Borhani, Demetri Psaltis, Christophe Moser, Babak Rahmani, Eirini Kakkava, Ugur Tegin

Spatiotemporal nonlinear interactions in multimode fibers are of interest for beam shaping and frequency conversion by exploiting the nonlinear interaction of different pump modes from quasi-continuous wave to ultrashort pulses centered around visible to i ...

2020

Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media

Navid Borhani, Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Eirini Kakkava, Ugur Tegin

The output of physical systems, such as the scrambled pattern formed by shining the spot of a laser pointer through fog, is often easily accessible by direct measurements. However, selection of the input of such a system to obtain a desired output is diffi ...

SPRINGERNATURE2020

Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern

Navid Borhani, Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Eirini Kakkava, Georgia Konstantinou, Ugur Tegin

Information transmission through multimode fibers (MMFs) has been a topic of great interest for many years. Deep learning algorithms have been applied successfully to MMFs in particular to fiber endoscopy. In this work, we show how Deep Neural Networks (DN ...

2019

Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy

Navid Borhani, Demetri Psaltis

Deep neural networks have been used to map multi-modal, multi-photon microscopy measurements of a label-free tissue sample to its corresponding histologically stained brightfield microscope colour image. It is shown that the extra structural and functional ...

2019

Deep Neural Networks for seeing through multimode fibers

Navid Borhani, Demetri Psaltis, Christophe Moser, Eirini Kakkava

Image delivery through multimode fibers (MMFs) suffers from modal scrambling which results in a speckle pattern at the fiber output. In this work, we use Deep Neural Networks (DNNs) for recovery and/or classification of the input image from the intensity-o ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Learning to see through multimode fibers

Navid Borhani, Demetri Psaltis, Christophe Moser, Eirini Kakkava

2018

A new method for reducing local heat transfer data in multimicrochannel evaporators

John Richard Thome, Navid Borhani, Nicolas Lamaison, Houxue Huang

Measuring the strong local variation in heat transfer coefficients in multi-microchannel evaporators is related to the inverse heat conduction problem (IHCP). As the local flow heat transfer coefficients change greatly in magnitude from single-phase liquid ...

Elsevier France-Editions Scientifiques Medicales Elsevier2017

Two-phase operational maps, pressure drop, and heat transfer for flow boiling of R236fa in a micro-pin fin evaporator

John Richard Thome, Navid Borhani, Hamideh Jafarpoorchekab, Mirco Magnini, Chiara Falsetti

Cooling the new generation of 3D high power electronic chips is one of the leading challenges in microelectronics, as it is a key to achieve high computational performance at lower cooling system power consumption, thus reducing the operating cost. Two-pha ...

Pergamon-Elsevier Science Ltd2017

Experimental investigation on flow boiling pressure drop and heat transfer of R1233zd(E) in a multi-microchannel evaporator

John Richard Thome, Navid Borhani, Houxue Huang

An experimental study on flow boiling pressure drop and heat transfer of a new environmentally friendly refrigerant R1233zd(E), in a parallel multi-microchannel evaporator was carried out. The silicon microchannels evaporator was 10 mm long and 10 mm wide, ...

Pergamon-Elsevier Science Ltd2016

Thermal Response of Multi-Microchannel Evaporators During Flow Boiling of Refrigerants Under Transient Heat Loads With Flow Visualization

John Richard Thome, Navid Borhani, Houxue Huang

Multi-microchannel evaporators with flow boiling, used for cooling high heat flux devices, usually experience transient heat loads in practical applications. These transient processes may cause failure of devices due to a thermal excursion or poor local co ...

Asme2016

Operational regimes in a closed loop pulsating heat pipe

John Richard Thome, Navid Borhani, Giulia Spinato

Synchronized thermal and visual investigation was carried out on a single-turn channel CLPHP using R245fa as the worldng fluid. The tests were carried out at filling ratios from 10 to 90% and heat inputs from 2 to 60 W for vertical and inclined orientation ...

Elsevier France-Editions Scientifiques Medicales Elsevier2016

Design and packaging of a highly integrated microreactor system for high-temperature on-board hydrogen production

Thomas Maeder, Paul Muralt, John Richard Thome, Navid Borhani, Dimos Poulikakos, Bo Jiang

Highlights • A “plug-and-play” microreaction system for high-temperature reactions (>500 °C). • Efficient thermal decoupling for using standard electrical/fluidic connections. • Automatic and accurate temperature control for calorimetric measurements. • A ...

Elsevier2015

Time-strip visualization and thermo-hydrodynamics in a Closed Loop Pulsating Heat Pipe

John Richard Thome, Navid Borhani, Giulia Spinato, Brian Paul D'Entremont

New trends in the microprocessor industry are leading not only to miniaturization and integration but also to increases in power dissipation rates which now require advanced cooling solutions to prevent thermal damage to the devices. Pulsating heat pipes ( ...

Elsevier2015

Understanding the self-sustained oscillating two-phase flow motion in a closed loop pulsating heat pipe

John Richard Thome, Navid Borhani, Giulia Spinato

In the framework of efficient thermal management schemes, pulsating heat pipes (PHPs) represent a breakthrough solution for passive on-chip two-phase flow cooling of micro-electronics. Unfortunately, the unique coupling of thermodynamics, hydrodynamics and ...

Pergamon-Elsevier Science Ltd2015

Dynamics of isolated confined air bubbles in liquid flows through circular microchannels: an experimental and numerical study

John Richard Thome, Navid Borhani, Sepideh Khodaparast, Mirco Magnini

Experimental and numerical studies are performed to characterise the dynamics of isolated confined air bubbles in laminar fully developed liquid flows within channels of diameters d = 0.5 mm and d = 1 mm. Water and glycerol are used as the continuous liqui ...

Springer Verlag2015

3D ALE Finite-Element Method for Two-Phase Flows With Phase Change

John Richard Thome, Navid Borhani, Gustavo Rabello Dos Anjos

We seek to study numerically two-phase flow phenomena with phase change through the finite-element method (FEM) and the arbitrary Lagrangian-Eulerian (ALE) framework. This method is based on the so-called one-fluid formulation; thus, only one set of equati ...

Taylor & Francis2014