Mr. Mohammad Hematibahar | technology | AcademicInnovator YoungAchiever Award

Mr. Mohammad Hematibahar Moscow State University of Civil Engineering Iran

Mohammad Hematibahar has been investigated on the cement and concrete with reinforced chopped basalt fiber. He is interested in Machine Learning and predicting mechanical properties of concrete via different types of Machine Learning methods. In recent years, with the increasing desire of scientists to 3D Print concrete, he examined new types of 3D printing in the cement and concrete industry. He reinforced cement and concrete with 3D printing technology and is examining new 3D printing geometries to achieve the best mechanical properties of cement and concrete structures.

Publication Profile

Scholar

Evaluation for AcademicInnovator YoungAchiever Award

Strengths for the Award:

1. Innovative Research Focus: Mohammad Hematibahar has demonstrated a strong commitment to advancing concrete technology through his work on basalt fiber reinforcement and 3D printing. His research into the mechanical properties of concrete and its reinforcement with innovative materials showcases a forward-thinking approach in a crucial field.
2. Publication Record: With over 16 published articles and an impressive citation record, Hematibahar has established himself as a significant contributor to the academic community. His work on machine learning applications for predicting concrete properties and exploring new 3D printing geometries highlights his impact on both theoretical and practical aspects of construction technology.
3. Interdisciplinary Approach: Hematibahar’s research integrates various disciplines, including civil engineering, machine learning, and advanced manufacturing technologies. This interdisciplinary approach is crucial for innovative problem-solving and reflects a modern understanding of how different fields can converge to drive progress.
4. Recognition and Metrics: His strong academic indices, such as H-index and i10-index, and his presence on major research platforms like Scopus and Google Scholar, further underline his scholarly influence and the relevance of his contributions.

Areas for Improvement:

1. Broader Impact: While Hematibahar has made notable contributions to the field, further efforts could be directed towards applying his research in real-world projects or industry collaborations to enhance its practical impact. Demonstrating how his work has been implemented or how it can be scaled up could strengthen his candidacy.
2. Professional Development: Engaging in additional professional activities such as attending or organizing international conferences, participating in collaborative projects, or contributing to policy discussions could further highlight his role as a leading innovator in his field.
3. Language Skills: Although Hematibahar has a good command of English, strengthening his proficiency further could facilitate broader international collaborations and enhance the global impact of his research.

🎓 Education

Research Assistant Moscow State University of Civil Engineering 2022-Currently. Master’s Peoples’ Friendship University of Russia (RUDN of Moscow) Construction Building and Environmental Management 2019 — 2021. Bachelor’s Azad Islamic University (Iran), Civil Engineering 2014-2018

📚 Publication & Research

Mohammad Hematibahar has published more than 16 articles about cement and concrete, Machine Learning, and 3D printed reinforced concrete. He understands that reinforced concrete and cement with different types of geometries via 3D printing technology have varying effects on mechanical properties. He aims to improve this technology to find the best geometry and enhance mechanical properties.

🎯Interests

• Ancient Architecture
• Machine Learning
• Philosophy

🔗 Research and Scientific Work

Scientific Index Sites

• Scopus
• AD Scientific Index
• Google Scholar
• ResearchGate

Publications

• Title: Prediction of the Mechanical Properties of Basalt Fiber Reinforced High-Performance Concrete Using Machine Learning Techniques
  Authors: A. Hasanzadeh, N.I. Vatin, M. Hematibahar, M. Kharun, I. Shooshpasha
  Year: 2022

 

• Title: The Prediction of Compressive Strength and Compressive Stress–Strain of Basalt Fiber Reinforced High-Performance Concrete Using Classical Programming and Logistic Map Algorithm
  Authors: M. Hematibahar, N.I. Vatin, H.A. Ashour Alaraza, A. Khalilavi, M. Kharun
  Year: 2022

 

• Title: Behavior of Conventional and Fibered Concrete Shear Walls During Earthquake, an Analytical Simulation in SAP2000
  Authors: M. Kharun, D.D. Koroteev, M.H. Bahar, J. Huang, M. Kamrunnaher
  Year: 2020

 

• Title: Experimental Study on the Effect of Chopped Basalt Fiber on the Mechanical Properties of High-Performance Concrete
  Authors: M. Kharun, H.A.A. Al Araza, M. Hematibahar, R. Al Daini, A.A. Manoshin
  Year: 2022

 

• Title: Influence of 3D-Printed Reinforcement on the Mechanical and Fracture Characteristics of Ultra High Performance Concrete
  Authors: M. Hematibahar, A. Hasanzadeh, N.I. Vatin, M. Kharun, I. Shooshpasha
  Year: 2023

 

• Title: A Study of Modern Eco-Friendly Composite (Geopolymer) Based on Blast Furnace Slag Compared to Conventional Concrete Using the Life Cycle Assessment Approach
  Authors: A. Esparham, N.I. Vatin, M. Kharun, M. Hematibahar
  Year: 2023

 

• Title: Crack Resistance in Basalt Fibred High-Performance Concrete
  Authors: M. Hematibahar
  Year: 2021

 

• Title: Evaluation of the Mechanical Behavior of High-Performance Concrete (HPC) Reinforced with 3D-Printed Trusses
  Authors: P.C. Chiadighikaobi, A. Hasanzadeh, M. Hematibahar, M. Kharun, …
  Year: 2024

 

• Title: Predicting Mechanical Properties of Self-Healing Concrete with Trichoderma Reesei Fungus Using Machine Learning
  Authors: P.C. Chiadighikaobi, M. Hematibahar, M. Kharun, N.A. Stashevskaya, …
  Year: 2024

 

• Title: Historical Structure Design Method Through Data Analysis and Soft Programming
  Authors: P.C. Chiadighikaobi, M. Kharun, M. Hematibahar
  Year: 2023

 

• Title: Prediction of Concrete Mixture Design and Compressive Strength Through Data Analysis and Machine Learning
  Authors: M. Hematibahar, M. Kharun
  Year: 2024

 

• Title: Analysis of Models to Predict Mechanical Properties of High-Performance and Ultra-High-Performance Concrete Using Machine Learning
  Authors: M. Hematibahar, M. Kharun, A.N. Beskopylny, S.A. Stel’makh, …
  Year: 2024

 

• Title: Effect of Using 3D-Printed Shell Structure for Reinforcement of Ultra-High-Performance Concrete
  Authors: M. Hematibahar, N.I. Vatin, T.J. Hamid, T.H. Gebre
  Year: 2023