Mohammad Pourhomayoun

About Mohammad Pourhomayoun

Mohammad Pourhomayoun, With an exceptional h-index of 24 and a recent h-index of 18 (since 2020), a distinguished researcher at California State University, Los Angeles, specializes in the field of Data Science, Machine Learning, AI, Big Data Analytics, Wireless Health and Remote Health Monitoring Systems.

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

Deep Residual Dilated Convolutional Learning for Detection of Large Vessel Occlusion in Ischemic Stroke Patients

Deep Learning Image Analysis of Macular Optical Coherence Tomography Angiography Images for Detection of Progression in Glaucoma

Deep Learning Based GABA Edited-MRS Signal Reconstruction

Prediction of geological composition using recurrent neural networks and shield tunnel boring machine data

Predicting Atmospheric Air Pollution: A Convolutional-Transformer Approach for Spatial and Temporal Analysis of PM2. 5

Advanced Information Systems Technology (AIST) 2023 Annual Review: Earth Systems Digital Twins (ESDT)

From an Analytic Collaborative Framework to an Earth System Digital Twin for Air Quality Analysis

Global High-Resolution PM2. 5 Prediction Applying Multisource Big Data through Deep Convolutional LSTM

Mohammad Pourhomayoun Information

University

Position

Assistant Professor at

Citations(all)

1800

Citations(since 2020)

1171

Cited By

1000

hIndex(all)

24

hIndex(since 2020)

18

i10Index(all)

53

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Mohammad Pourhomayoun Skills & Research Interests

Data Science

Machine Learning

AI

Big Data Analytics

Wireless Health and Remote Health Monitoring Systems

Top articles of Mohammad Pourhomayoun

Title

Journal

Author(s)

Publication Date

Deep Residual Dilated Convolutional Learning for Detection of Large Vessel Occlusion in Ischemic Stroke Patients

Rohan Chatterjee

Dikshant Sagar

Farnaz Mohammadi

Arpit Vaishya

Mohammad Pourhomayoun

...

2024/2/5

Deep Learning Image Analysis of Macular Optical Coherence Tomography Angiography Images for Detection of Progression in Glaucoma

Aylin Mousavian

Jabiz Jarkaneh

Mohammad Pourhomayoun

Manveen Kaur

Rohan Chatterjee

...

2024/2/5

Deep Learning Based GABA Edited-MRS Signal Reconstruction

Dikshant Sagar

Farnaz Mohammadi

Mohammad Pourhomayoun

Jooeun Joen

Navid Amini

2023/10/16

Prediction of geological composition using recurrent neural networks and shield tunnel boring machine data

Civil Engineering and Environmental Systems

Mohammad Pourhomayoun

Mehran Mazari

Luis Fisher

Kabir Nagrecha

Tonatiuh Rodriguez-Nikl

...

2023/10/2

Predicting Atmospheric Air Pollution: A Convolutional-Transformer Approach for Spatial and Temporal Analysis of PM2. 5

Janmesh Kalra

Pratyush Muthukumar

Shaurya Pathak

Kabir Nagrecha

Hirad Hosseini

...

2023/7/24

Advanced Information Systems Technology (AIST) 2023 Annual Review: Earth Systems Digital Twins (ESDT)

Jacqueline Le Moigne

Craig Pelissier

Thomas Allen

Arlindo da Silva

Rajat Bindlish

...

2023/6/23

From an Analytic Collaborative Framework to an Earth System Digital Twin for Air Quality Analysis

AGU Fall Meeting Abstracts

Thomas Huang

Alexander E Dunn

Sina Hasheminassab

Olga V Kalashnikova

Jason Kang

...

2022/12

Global High-Resolution PM2. 5 Prediction Applying Multisource Big Data through Deep Convolutional LSTM

AGU Fall Meeting Abstracts

Pratyush Muthukumar

Shaurya Pathak

Kabir Nagrecha

Hirad Hosseini

Ryan Dunning

...

2022/12

Digital Twin Cities for Air Quality Simulation

AGU Fall Meeting Abstracts

Hirad Hosseini

Kabir Nagrecha

Pratyush Muthukumar

Shaurya Pathak

Ryan Dunning

...

2022/12

An advanced open-source platform for air quality analysis, visualization, and prediction

Thomas Huang

Nga Chung

Alex Dunn

Erik Hovland

Jason Kang

...

2022/7/17

PM2. 5 air pollution prediction through deep learning using multisource meteorological, wildfire, and heat data

Journal of Cleaner Production

Deepti Shakya

Vishal Deshpande

Manish Kumar Goyal

Mayank Agarwal

2023/11/15

Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM

Pratyush Muthukumar

Shaurya Pathak

Kabir Nagrecha

Hirad Hosseini

Dawn Comer

...

2022/12/14

Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making

Smart health

Mohammad Pourhomayoun

Mahdi Shakibi

2021/4/1

Creating Global Digital Twins to Improve Air Quality and COVID Outcomes

AGU Fall Meeting Abstracts

Jeanne Holm

Jacqueline Le Moigne

Marge Cole

Mohammad Pourhomayoun

Dawn Comer

...

2021/12

Local macular thickness relationships between 2 OCT devices

Ophthalmology Glaucoma

Golnoush Mahmoudinezhad

Vahid Mohammadzadeh

Navid Amini

Veronica Toriz

Mohammad Pourhomayoun

...

2021/3/1

AQACF: A Platform for Air Quality Analysis, Visualization, and Prediction

AGU Fall Meeting Abstracts

Thomas Huang

Nga Chung

Alexander Dunn

Kristal Verhulst

Jeanne Holm

...

2021/12

A Novel Similarity Measure for Retinal Optical Coherence Tomography Images

Tae Hong

Farnaz Mohammadi

Rohan Chatterjee

Eric Chan

Mohammad Pourhomayoun

...

2021

Predicting PM2. 5 air pollution using deep learning with multisource satellite and ground-based observations and meteorological and wildfire big data

AGU Fall Meeting Abstracts

Pratyush Muthukumar

Kabir Nagrecha

Emmanuel Cocom

Dawn Comer

Irene Burga

...

2021/12

Real-time spatiotemporal air pollution prediction with deep convolutional lstm through satellite image analysis

Pratyush Muthukumar

Emmanuel Cocom

Jeanne Holm

Dawn Comer

Anthony Lyons

...

2020/7/27

Predicting PM2. 5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data

Air Quality, Atmosphere & Health

Pratyush Muthukumar

Emmanuel Cocom

Kabir Nagrecha

Dawn Comer

Irene Burga

...

2021/11/23

See List of Professors in Mohammad Pourhomayoun University(California State University, Los Angeles)