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Mahmoud Parto

Mahmoud Parto

Georgia Institute of Technology

H-index: 7

North America-United States

Contact Mahmoud Parto

About Mahmoud Parto

Mahmoud Parto, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Industry 4.0, Internet of Things, Cyber-Physical Systems, Machine Learning, Smart Manufacturing.

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

Cyber-physical system implementation for manufacturing with analytics in the cloud layer

A review of modern communication technologies for digital manufacturing processes in industry 4.0

Industry 4.0 and intelligent manufacturing processes: a review of modern sensing technologies

A novel three-layer IoT architecture for shared, private, scalable, and real-time machine learning from ubiquitous cyber-physical systems

Real-time outlier detection and Bayesian classification using incremental computations for efficient and scalable stream analytics for IoT for manufacturing

Mahmoud Parto Information

University

Position

___

Citations(all)

420

Citations(since 2020)

398

Cited By

148

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Mahmoud Parto Skills & Research Interests

Industry 4.0

Internet of Things

Cyber-Physical Systems

Machine Learning

Smart Manufacturing

Top articles of Mahmoud Parto

Cyber-physical system implementation for manufacturing with analytics in the cloud layer

Journal of Computing and Information Science in Engineering

2022/2/1

Mahmoud Parto
Mahmoud Parto

H-Index: 4

Christopher Saldana
Christopher Saldana

H-Index: 17

A review of modern communication technologies for digital manufacturing processes in industry 4.0

2020/11/1

Christopher Saldana
Christopher Saldana

H-Index: 17

Industry 4.0 and intelligent manufacturing processes: a review of modern sensing technologies

2020/8/28

Christopher Saldana
Christopher Saldana

H-Index: 17

A novel three-layer IoT architecture for shared, private, scalable, and real-time machine learning from ubiquitous cyber-physical systems

Procedia manufacturing

2020/1/1

Mahmoud Parto
Mahmoud Parto

H-Index: 4

Christopher Saldana
Christopher Saldana

H-Index: 17

Real-time outlier detection and Bayesian classification using incremental computations for efficient and scalable stream analytics for IoT for manufacturing

Procedia Manufacturing

2020/1/1

Mahmoud Parto
Mahmoud Parto

H-Index: 4

Christopher Saldana
Christopher Saldana

H-Index: 17

See List of Professors in Mahmoud Parto University(Georgia Institute of Technology)