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Behrouz Khoshbakht Irdmousa

About Behrouz Khoshbakht Irdmousa

Behrouz Khoshbakht Irdmousa, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Michigan Technological University, specializes in the field of Data-Driven Modeling, Machine Learning, Automotive Control Systems.

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

Data Driven and Machine Learning Based Modeling and Predictive Control of Combustion at Reactivity Controlled Compression Ignition Engines

CFD-based Data-driven Modeling of Reactivity and Stratification Dynamics for RCCI Engine Control

Control-Oriented Data-Driven and Physics-Based Modeling of Maximum Pressure Rise Rate in Reactivity Controlled Compression Ignition Engines

A dynamic method to analyze cold-start first cycles engine-out emissions at elevated cranking speed conditions of a hybrid electric vehicle including a gasoline direct …

Input-output data-driven modeling and mimo predictive control of an rcci engine combustion

Data-driven modeling and predictive control of maximum pressure rise rate in RCCI engines

Behrouz Khoshbakht Irdmousa Information

University

Position

___

Citations(all)

382

Citations(since 2020)

325

Cited By

169

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Behrouz Khoshbakht Irdmousa Skills & Research Interests

Data-Driven Modeling

Machine Learning

Automotive Control Systems

Top articles of Behrouz Khoshbakht Irdmousa

Data Driven and Machine Learning Based Modeling and Predictive Control of Combustion at Reactivity Controlled Compression Ignition Engines

2024

Behrouz Khoshbakht Irdmousa
Behrouz Khoshbakht Irdmousa

H-Index: 4

CFD-based Data-driven Modeling of Reactivity and Stratification Dynamics for RCCI Engine Control

IFAC-PapersOnLine

2023/1/1

Behrouz Khoshbakht Irdmousa
Behrouz Khoshbakht Irdmousa

H-Index: 4

Mahdi Shahbakhti
Mahdi Shahbakhti

H-Index: 23

Control-Oriented Data-Driven and Physics-Based Modeling of Maximum Pressure Rise Rate in Reactivity Controlled Compression Ignition Engines

SAE International Journal of Engines

2023/1

Behrouz Khoshbakht Irdmousa
Behrouz Khoshbakht Irdmousa

H-Index: 4

Javad Mohammadpour Velni
Javad Mohammadpour Velni

H-Index: 19

Mahdi Shahbakhti
Mahdi Shahbakhti

H-Index: 23

A dynamic method to analyze cold-start first cycles engine-out emissions at elevated cranking speed conditions of a hybrid electric vehicle including a gasoline direct …

SAE International Journal of Engines

2022/1/1

Mahdi Shahbakhti
Mahdi Shahbakhti

H-Index: 23

Input-output data-driven modeling and mimo predictive control of an rcci engine combustion

IFAC-PapersOnLine

2021/1/1

Behrouz Khoshbakht Irdmousa
Behrouz Khoshbakht Irdmousa

H-Index: 4

Javad Mohammadpour Velni
Javad Mohammadpour Velni

H-Index: 19

Mahdi Shahbakhti
Mahdi Shahbakhti

H-Index: 23

Data-driven modeling and predictive control of maximum pressure rise rate in RCCI engines

2020/8/24

Javad Mohammadpour Velni
Javad Mohammadpour Velni

H-Index: 19

Mahdi Shahbakhti
Mahdi Shahbakhti

H-Index: 23

See List of Professors in Behrouz Khoshbakht Irdmousa University(Michigan Technological University)