Youssef Nashed

Youssef Nashed

Stanford University

H-index: 22

North America-United States

About Youssef Nashed

Youssef Nashed, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Data Analysis, Machine Learning, Parallel Algorithms, HPC, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning-empowered study of metastable γ-CsPbI 3 under pressure and strain

Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization

Machine Learning Prediction of Perovskite Solar Cell Propertiesunder High Pressure

Imaging extended single crystal lattice distortion fields with multi-peak Bragg ptychography

Differentiable Simulation of a Liquid Argon Time Projection Chamber

Capturing dynamical correlations using implicit neural representations

A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis

A differentiable forward model for the concurrent, multi-peak Bragg coherent x-ray diffraction imaging problem

Youssef Nashed Information

University

Position

SLAC National Accelerator Laboratory

Citations(all)

1637

Citations(since 2020)

1190

Cited By

886

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

35

i10Index(since 2020)

32

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Youssef Nashed Skills & Research Interests

Data Analysis

Machine Learning

Parallel Algorithms

HPC

Computer Vision

Top articles of Youssef Nashed

Title

Journal

Author(s)

Publication Date

Machine learning-empowered study of metastable γ-CsPbI 3 under pressure and strain

Journal of Materials Chemistry A

Minkyung Han

Cheng Peng

Ruyi Song

Feng Ke

Youssef Nashed

...

2024

Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization

npj Computational Materials

Siddharth Maddali

Travis D Frazer

Nazar Delegan

Katherine J Harmon

Sean E Sullivan

...

2023/5/23

Machine Learning Prediction of Perovskite Solar Cell Propertiesunder High Pressure

APS March Meeting Abstracts

Minkyung Han

Chunjing Jia

Yu Lin

Cheng Peng

Feng Ke

...

2023

Imaging extended single crystal lattice distortion fields with multi-peak Bragg ptychography

arXiv preprint arXiv:2312.14907

Saugat Kandel

Siddharth Maddali

Marc Allain

Xiaojing Huang

Youssef SG Nashed

...

2023/12/22

Differentiable Simulation of a Liquid Argon Time Projection Chamber

Machine Learning: Science and Technology

Sean Joseph Gasiorowski

Yifan Chen

Youssef Nashed

Pierre Granger

Camelia Mironov

...

2023/10/5

Capturing dynamical correlations using implicit neural representations

Nature Communications

Sathya R Chitturi

Zhurun Ji

Alexander N Petsch

Cheng Peng

Zhantao Chen

...

2023/9/20

A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis

Structural Dynamics

Sathya R Chitturi

Nicolas G Burdet

Youssef Nashed

Daniel Ratner

Aashwin Mishra

...

2022/9/1

A differentiable forward model for the concurrent, multi-peak Bragg coherent x-ray diffraction imaging problem

arXiv preprint arXiv:2208.00970

S Maddali

TD Frazer

N Delegan

KJ Harmon

SE Sullivan

...

2022/8/1

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities

Hongwei Chen

Sathya R Chitturi

Rajan Plumley

Lingjia Shen

Nathan C Drucker

...

2022/11/13

Multivariate Functional Approximation of Scientific Data

Tom Peterka

Youssef Nashed

Iulian Grindeanu

Vijay Mahadevan

Raine Yeh

...

2022/5/5

Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector

arXiv preprint arXiv:2211.01505

Minjie Lei

Ka Vang Tsang

Sean Gasiorowski

Chuan Li

Youssef Nashed

...

2022/11/2

Cryoai: Amortized inference of poses for ab initio reconstruction of 3d molecular volumes from real cryo-em images

Axel Levy

Frédéric Poitevin

Julien Martel

Youssef Nashed

Ariana Peck

...

2022/3/15

Heterogeneous reconstruction of deformable atomic models in Cryo-EM

Youssef Nashed

Ariana Peck

Julien Martel

Axel Levy

Bongjin Koo

...

2022/9/29

Efficient ptychographic phase retrieval via a matrix-free Levenberg-Marquardt algorithm

Optics Express

Saugat Kandel

Siddharth Maddali

Youssef SG Nashed

Stephan O Hruszkewycz

Chris Jacobsen

...

2021/7/19

Rapid 3D nanoscale coherent imaging via physics-aware deep learning

Applied Physics Reviews

Henry Chan

Youssef SG Nashed

Saugat Kandel

Stephan O Hruszkewycz

Subramanian KRS Sankaranarayanan

...

2021/6/1

CryoPoseNet: End-to-end simultaneous learning of single-particle orientation and 3D map reconstruction from cryo-electron microscopy data

Youssef SG Nashed

Frédéric Poitevin

Harshit Gupta

Geoffrey Woollard

Michael Kagan

...

2021

Broadband X-ray ptychography using multi-wavelength algorithm

Journal of Synchrotron Radiation

Yudong Yao

Yi Jiang

Jeffrey Klug

Youssef Nashed

Christian Roehrig

...

2021/1/1

Ptychopy: Gpu framework for ptychographic data analysis

Ke Yue

Junjing Deng

Yi Jiang

Youssef Nashed

David Vine

...

2021/9/8

3D Modeling of craniofacial ontogeny and sexual dimorphism in children

The Anatomical Record

Olivia AM Smith

Youssef SG Nashed

Christian Duncan

Nick Pears

Antonio Profico

...

2021/9

High-energy coherent X-ray diffraction microscopy of polycrystal grains: Steps toward a multiscale approach

Physical Review Applied

Siddharth Maddali

J-S Park

Hemant Sharma

Sarvjit Shastri

Peter Kenesei

...

2020/8/27

See List of Professors in Youssef Nashed University(Stanford University)

Co-Authors

H-index: 71
Chris Jacobsen

Chris Jacobsen

Northwestern University

H-index: 33
Daniel Ratner

Daniel Ratner

Stanford University

H-index: 31
Stefano Cagnoni

Stefano Cagnoni

Università degli Studi di Parma

H-index: 20
Pablo Mesejo

Pablo Mesejo

Universidad de Granada

H-index: 20
Frédéric Poitevin

Frédéric Poitevin

Stanford University

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