Neda Tavakoli

Neda Tavakoli

Georgia Institute of Technology

H-index: 12

North America-United States

About Neda Tavakoli

Neda Tavakoli, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Machine/Deep Learning, NLP, Algorithm Design, Optimization, Computational Biology.

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

How AI responds to common lung cancer questions: ChatGPT versus Google Bard

Haplotype-aware variant selection for genome graphs

Similarity analysis of federal reserve statements using document embeddings: the Great Recession vs. COVID-19

A variant selection framework for genome graphs

Using experiential learning to teach and learn digital forensics: Educator and student perspectives

Seq2image: Sequence analysis using visualization and deep convolutional neural network

An autoencoder-based deep learning approach for clustering time series data

Optimizing CNN using fast Fourier transformation for object recognition

Neda Tavakoli Information

University

Position

Ph.D. Student Computer Science

Citations(all)

2098

Citations(since 2020)

2086

Cited By

259

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

Neda Tavakoli Skills & Research Interests

Machine/Deep Learning

NLP

Algorithm Design

Optimization

Computational Biology

Top articles of Neda Tavakoli

Title

Journal

Author(s)

Publication Date

How AI responds to common lung cancer questions: ChatGPT versus Google Bard

Radiology

Amir Ali Rahsepar

Neda Tavakoli

Grace Hyun J Kim

Cameron Hassani

Fereidoun Abtin

...

2023/6/13

Haplotype-aware variant selection for genome graphs

Neda Tavakoli

Daniel Gibney

Srinivas Aluru

2022/8/7

Similarity analysis of federal reserve statements using document embeddings: the Great Recession vs. COVID-19

SN Business & Economics

Luis Felipe Gutiérrez

Neda Tavakoli

Sima Sima Siami-Namini

Akbar Siami Namin

2022/6/22

A variant selection framework for genome graphs

Bioinformatics

Chirag Jain

Neda Tavakoli

Srinivas Aluru

2021/7/12

Using experiential learning to teach and learn digital forensics: Educator and student perspectives

Computers and Education Open

Raymond Flores

Akbar Siami Namin

Neda Tavakoli

Sima Siami-Namini

Keith S Jones

2021/12/1

Seq2image: Sequence analysis using visualization and deep convolutional neural network

Neda Tavakoli

2020/7/13

An autoencoder-based deep learning approach for clustering time series data

SN Applied Sciences

Neda Tavakoli

Sima Siami-Namini

Mahdi Adl Khanghah

Fahimeh Mirza Soltani

Akbar Siami Namin

2020/5

Optimizing CNN using fast Fourier transformation for object recognition

Varsha Nair

Moitrayee Chatterjee

Neda Tavakoli

Akbar Siami Namin

Craig Snoeyink

2020/12/14

Clustering time series data through autoencoder-based deep learning models

arXiv preprint arXiv:2004.07296

Neda Tavakoli

Sima Siami-Namini

Mahdi Adl Khanghah

Fahimeh Mirza Soltani

Akbar Siami Namin

2020/4/11

A concern analysis of federal reserve statements: the Great Recession vs. The COVID-19 pandemic

Luis Felipe Gutierrez

Sima Siami-Namini

Neda Tavakoli

Akbar Siami Namin

2020/12/10

A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic

arXiv preprint arXiv:2012.02098

Luis Felipe Gutiérrez

Sima Siami-Namini

Neda Tavakoli

Akbar Siami Namin

2020/12/3

Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models

arXiv preprint arXiv:2004.02094

Neda Tavakoli

2020/4/5

Fast Fourier transformation for optimizing convolutional neural networks in object recognition

arXiv preprint arXiv:2010.04257

Varsha Nair

Moitrayee Chatterjee

Neda Tavakoli

Akbar Siami Namin

Craig Snoeyink

2020/10/8

See List of Professors in Neda Tavakoli University(Georgia Institute of Technology)

Co-Authors

H-index: 47
Srinivas Aluru

Srinivas Aluru

Georgia Institute of Technology

H-index: 28
Yong Chen

Yong Chen

Texas Tech University

H-index: 26
Akbar Siami Namin

Akbar Siami Namin

Texas Tech University

H-index: 22
Amir Ali Rahsepar

Amir Ali Rahsepar

North Western University

H-index: 21
Sharma V. Thankachan

Sharma V. Thankachan

University of Central Florida

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