Meysam Faegh

About Meysam Faegh

Meysam Faegh, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Sharif University of Technology, specializes in the field of Physics-informed machine learning, Generative AI, Thermal management, Additive manufacturing.

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

Architecture-driven Physics-informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing with Limited Data

Thermoeconomic analysis and multi-objective optimization of a novel trigeneration system consisting of kalina and humidification- dehumidification desalination cycles

A review on state-of-the-art applications of data-driven methods in desalination systems

Development of artificial neural networks for performance prediction of a heat pump assisted humidification-dehumidification desalination system

A comparative study of various machine learning methods for performance prediction of an evaporative condenser

Thermal performance assessment of an evaporative condenser-based combined heat pump and humidification-dehumidification desalination system

Experimental examination of utilizing novel radially grooved surfaces in the evaporator of a thermosyphon heat pipe

Meysam Faegh Information

University

Position

Ph.D.

Citations(all)

811

Citations(since 2020)

757

Cited By

331

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Meysam Faegh Skills & Research Interests

Physics-informed machine learning

Generative AI

Thermal management

Additive manufacturing

Top articles of Meysam Faegh

Title

Journal

Author(s)

Publication Date

Architecture-driven Physics-informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing with Limited Data

Journal of Manufacturing Science and Engineering

Suyog Ghungrad

Meysam Faegh

Benjamin Gould

Sarah J Wolff

Azadeh Haghighi

2023/8/1

Thermoeconomic analysis and multi-objective optimization of a novel trigeneration system consisting of kalina and humidification- dehumidification desalination cycles

Journal of Thermal Engineering

Pooria Behnam

Meysam Faegh

Iman Fakhari

Pouria Ahmadi

Ehsan Faegh

...

2022/1/1

A review on state-of-the-art applications of data-driven methods in desalination systems

Pooria Behnam

Meysam Faegh

Mehdi Khiadani

2022/6/15

Development of artificial neural networks for performance prediction of a heat pump assisted humidification-dehumidification desalination system

Desalination

Meysam Faegh

Pooria Behnam

Mohammad Behshad Shafii

Mehdi Khiadani

2021/7/15

A comparative study of various machine learning methods for performance prediction of an evaporative condenser

International Journal of Refrigeration

Pooria Behnam

Meysam Faegh

Mohammad Behshad Shafii

Mehdi Khiadani

2021/6/1

Thermal performance assessment of an evaporative condenser-based combined heat pump and humidification-dehumidification desalination system

Desalination

Meysam Faegh

Mohammad Behshad Shafii

2020/12/15

Experimental examination of utilizing novel radially grooved surfaces in the evaporator of a thermosyphon heat pipe

Applied Thermal Engineering

Amir Bahmanabadi

Meysam Faegh

Mohammad Behshad Shafii

2020/3/25

See List of Professors in Meysam Faegh University(Sharif University of Technology)

Co-Authors

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