M. Bagher Ghofrani

About M. Bagher Ghofrani

M. Bagher Ghofrani, With an exceptional h-index of 16 and a recent h-index of 11 (since 2020), a distinguished researcher at Sharif University of Technology, specializes in the field of Reliability & Risk Engineering, Soft computing, Thermal & Nuclear Power Plant Technology & Safety.

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

Application of deep learning techniques for nuclear power plant transient identification

Assessment of spray system capabilities in reduction of containment pressure and deposition of fission products during a severe accident in VVER-1000

Evaluation of the performance of different feature selection techniques for identification of NPPs transients using deep learning

Applications of Soft Computing in nuclear power plants: A review

Estimation of the maximum linear heat rate using soft computing techniques: a case study of Bushehr Nuclear Power Plant

Reconstruction of neutron flux distribution by nodal synthesis method using online in-core neutron detector readings

Development of a new features selection algorithm for estimation of NPPs operating parameters

M. Bagher Ghofrani Information

University

Position

Department of Energy Engineering

Citations(all)

807

Citations(since 2020)

371

Cited By

595

hIndex(all)

16

hIndex(since 2020)

11

i10Index(all)

21

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

M. Bagher Ghofrani Skills & Research Interests

Reliability & Risk Engineering

Soft computing

Thermal & Nuclear Power Plant Technology & Safety

Top articles of M. Bagher Ghofrani

Application of deep learning techniques for nuclear power plant transient identification

Annals of Nuclear Energy

2023/12/15

Assessment of spray system capabilities in reduction of containment pressure and deposition of fission products during a severe accident in VVER-1000

2023/4/1

Evaluation of the performance of different feature selection techniques for identification of NPPs transients using deep learning

Annals of Nuclear Energy

2023/4/1

Applications of Soft Computing in nuclear power plants: A review

2022/7/1

Estimation of the maximum linear heat rate using soft computing techniques: a case study of Bushehr Nuclear Power Plant

Journal of Nuclear Science and Technology (JONSAT)

2022/6/22

Reconstruction of neutron flux distribution by nodal synthesis method using online in-core neutron detector readings

2021/1/1

Development of a new features selection algorithm for estimation of NPPs operating parameters

Annals of Nuclear Energy

2020/10/1

See List of Professors in M. Bagher Ghofrani University(Sharif University of Technology)