Jordan Ott

Jordan Ott

University of California, Irvine

H-index: 20

North America-United States

About Jordan Ott

Jordan Ott, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Artificial Intelligence, Neuroscience, Complex Systems.

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

Deducing neutron star equation of state from telescope spectra with machine-learning-derived likelihoods

arXiv: The DUNE Far Detector Vertical Drift Technology, Technical Design Report

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

Deducing neutron star equation of state parameters directly from telescope spectra with uncertainty-aware machine learning

Deducing the EOS of dense neutron star matter with machine learning

arXiv: Highly-parallelized simulation of a pixelated LArTPC on a GPU

Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

DUNE Offline Computing Conceptual Design Report

Jordan Ott Information

University

Position

___

Citations(all)

2059

Citations(since 2020)

2052

Cited By

268

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

26

i10Index(since 2020)

26

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Jordan Ott Skills & Research Interests

Artificial Intelligence

Neuroscience

Complex Systems

Top articles of Jordan Ott

Title

Journal

Author(s)

Publication Date

Deducing neutron star equation of state from telescope spectra with machine-learning-derived likelihoods

Journal of Cosmology and Astroparticle Physics

Delaney Farrell

Pierre Baldi

Jordan Ott

Aishik Ghosh

Andrew W Steiner

...

2023/12/12

arXiv: The DUNE Far Detector Vertical Drift Technology, Technical Design Report

Adam Abed Abud

Pierre Granger

Henrique Vieira de Souza

Peter Cooke

Pierre Baldi

...

2023/12/5

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS

A Abed Abud

B Abi

R Acciarri

MA Acero

MR Adames

...

2023/7/14

Deducing neutron star equation of state parameters directly from telescope spectra with uncertainty-aware machine learning

Journal of Cosmology and Astroparticle Physics

Delaney Farrell

Pierre Baldi

Jordan Ott

Aishik Ghosh

Andrew W Steiner

...

2023/2/8

Deducing the EOS of dense neutron star matter with machine learning

Astronomische Nachrichten

Delaney Farrell

Pierre Baldi

Jordan Ott

Aishik Ghosh

Andrew W Steiner

...

2023/1

arXiv: Highly-parallelized simulation of a pixelated LArTPC on a GPU

Adam Abed Abud

Roman Berner

Veronica De Leo

Sanjay Swain

Pierre Baldi

...

2022/12/19

Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

Physical Review D

A Abed Abud

B Abi

R Acciarri

MA Acero

MR Adames

...

2022/4/25

DUNE Offline Computing Conceptual Design Report

Adam Abed Abud

Babak Abi

Roberto Acciarri

Mario Acero

Marcio Adames

...

2022/11/10

Real-time reconstruction of high energy, ultrafast laser pulses using deep learning

Scientific reports

Matthew Stanfield

Jordan Ott

Christopher Gardner

Nicholas F Beier

Deano M Farinella

...

2022/3/29

Cryptocurrency ecosystems and social media environments: An empirical analysis through Hawkes’ models and natural language processing

Machine Learning with Applications

Marco Ortu

Stefano Vacca

Giuseppe Destefanis

Claudio Conversano

2022/3/15

arXiv: DUNE Offline Computing Conceptual Design Report

Adam Abed Abud

Roman Berner

Veronica De Leo

Pierre Baldi

Marcelo Antoniassi

...

2022/10/28

Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC

Journal of instrumentation

A Abed Abud

B Abi

R Acciarri

MA Acero

MR Adames

...

2022/1/4

Separation of track-and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

The European Physical Journal C

Adam Abed Abud

Babak Abi

Roberto Acciarri

MA Acero

Márcio Rostirolla Adames

...

2022/10/12

Theoretical and Applied Deep Learning for the Physical Sciences

Jordan Andrew Melchionne Ott

2022

The Profiled Feldman-Cousins technique for confidence interval construction in the presence of nuisance parameters

arXiv preprint arXiv:2207.14353

Mario Andres Acero

B Acharya

P Adamson

L Aliaga

N Anfimov

...

2022/7/28

Deep underground neutrino experiment (DUNE) near detector conceptual design report

Adam Abed Abud

Babak Abi

Roberto Acciarri

Mario Acero

Giorge Adamov

...

2021/4/27

Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration

The European Physical Journal C

B Abi

R Acciarri

MA Acero

G Adamov

D Adams

...

2021/4

Detecting pulmonary Coccidioidomycosis with deep convolutional neural networks

Machine Learning with Applications

Jordan Ott

David Bruyette

Cody Arbuckle

Dylan Balsz

Silke Hecht

...

2021/9/15

Experiment simulation configurations approximating DUNE TDR

arXiv preprint arXiv:2103.04797

B Abi

R Acciarri

MA Acero

G Adamov

D Adams

...

2021/3/8

An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task

Journal of Neural Engineering

Elnaz Lashgari

Jordan Ott

Akima Connelly

Pierre Baldi

Uri Maoz

2021/8/25

See List of Professors in Jordan Ott University(University of California, Irvine)