Amirali Aghazadeh - Publications, H-index & Citations

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Amirali Aghazadeh

Georgia Institute of Technology

10H-index

42Paper Count

869Citation Count

Published Papers 12

Publication Date

Thinking microscopes: agentic AI and the future of electron microscopy

npj Computational Materials

IF11.9

2026-04-10

OAAI

Vida Jamali; Amirali Aghazadeh; Josh Kacher

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Discriminating abiotic and biotic organics in meteorite and terrestrial samples using machine learning on mass spectrometry data

PNAS NEXUS

IF3.8

2025-11-01

OAAI

Saeedi, Daniel; Buckner, Denise; Walton, Thomas A.; Aponte, Jose C.; Aghazadeh, Amirali

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Challenges and Opportunities in Using Amino Acids to Decode Carbonaceous Chondrite and Asteroid Parent Body Processes

Astrobiology

IF2.6

2025-06-12

PREAI

José C. Aponte; Hannah L. McLain; Daniel Saeedi; Amirali Aghazadeh; Jamie E. Elsila; Daniel P. Glavin; Jason P. Dworkin

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Current progress and open challenges for applying deep learning across the biosciences

NATURE COMMUNICATIONS

IF15.7

2022-04-01

138

OAAI

Sapoval, Nicolae; Aghazadeh, Amirali; Nute, Michael G.; Antunes, Dinler A.; Balaji, Advait; Baraniuk, Richard; Barberan, C. J.; Dannenfelser, Ruth; Dun, Chen; Edrisi, Mohammadamin; Elworth, R. A. Leo; Kille, Bryce; Kyrillidis, Anastasios; Nakhleh, Luay; Wolfe, Cameron R.; Yan, Zhi; Yao, Vicky; Treangen, Todd J.

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On the sparsity of fitness functions and implications for learning

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

IF9.1

2021-12-22

OAAI

Brookes, David H.; Aghazadeh, Amirali; Listgarten, Jennifer

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Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions

NATURE COMMUNICATIONS

IF15.7

2021-09-01

OAAI

Aghazadeh, Amirali; Nisonoff, Hunter; Ocal, Orhan; Brookes, David H.; Huang, Yijie; Koyluoglu, O. Ozan; Listgarten, Jennifer; Ramchandran, Kannan

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Anomalous nanoparticle surface diffusion in LCTEM is revealed by deep learning-assisted analysis

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

IF9.1

2021-03-03

OAAI

Jamali, Vida; Hargus, Cory; Ben-Moshe, Assaf; Aghazadeh, Amirali; Hyun Dong Ha; Mandadapu, Kranthi K.; Alivisatos, A. Paul

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Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2019-09-01

PREAI

Sen, Debarshi; Aghazadeh, Amirali; Mousavi, Ali; Nagarajaiah, Satish; Baraniuk, Richard; Dabak, Anand

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Large dataset enables prediction of repair after CRISPR-Cas9 editing in primary T cells

NATURE BIOTECHNOLOGY

IF41.7

2019-07-29

OAAI

Leenay, Ryan T.; Aghazadeh, Amirali; Hiatt, Joseph; Tse, David; Roth, Theodore L.; Apathy, Ryan; Shifrut, Eric; Hultquist, Judd F.; Krogan, Nevan; Wu, Zhenqin; Cirolia, Giana; Canaj, Hera; Leonetti, Manuel D.; Marson, Alexander; May, Andrew P.; Zou, James

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Sparsity-based approaches for damage detection in plates

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2019-02-01

PREAI

Sen, Debarshi; Aghazadeh, Amirali; Mousavi, Ali; Nagarajaiah, Satish; Baraniuk, Richard

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Insense: Incoherent sensor selection for sparse signals

SIGNAL PROCESSING

IF3.6

2018-09-01

OAAI

Aghazadeh, Amirali; Golbabaee, Mohammad; Lan, Andrew; Baraniuk, Richard

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Universal microbial diagnostics using random DNA probes

SCIENCE ADVANCES

IF12.5

2016-09-02

OAAI

Aghazadeh, Amirali; Lin, Adam Y.; Sheikh, Mona A.; Chen, Allen L.; Atkins, Lisa M.; Johnson, Coreen L.; Petrosino, Joseph F.; Drezek, Rebekah A.; Baraniuk, Richard G.

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Research Directions