Behrooz Keshtegar | Civil engineering | Researcher Award

Prof.Ā  Behrooz Keshtegar | Civil engineering | Researcher Award

Behrooz Keshtegar is an Associate Professor in the Department of Civil Engineering at the University of Zabol, Iran. He has served as a Researcher at the University of Electronic Science and Technology of China and an Adjunct Professor at Ton Duc Thang University, Vietnam. With over a decade of academic experience, he specializes in structural reliability, optimization, and mathematical modeling. Keshtegar has an H-index of 45 and is a frequent contributor to high-impact scientific journals. His work has been internationally recognized, placing him among the top 2% of scientists worldwide.

Profile

Scholar

Education šŸŽ“

BSc in Civil Engineering (2000-2004), University of Sistan and Baluchestan, Iran. MSc in Civil Engineering (2004-2007), Isfahan University of Technology, Iran. PhD in Civil Engineering (2008-2013), University of Sistan and Baluchestan, Iran Keshtegarā€™s academic journey began with a BSc in Civil Engineering, followed by an MSc from Isfahan University of Technology. His PhD, completed in 2013, focused on advanced methods in structural reliability and optimization. His educational background provided a solid foundation for his research in artificial intelligence and civil engineering.

Experience šŸ’¼

Associate Professor (2018-Present), University of Zabol, Iran. Assistant Professor (2014-2018), University of Zabol, Iran. Researcher (2019-2021), University of Electronic Science and Technology of China, Chengdu, China. Adjunct Professor (2019-2021), Ton Duc Thang University, Vietnam Keshtegarā€™s professional career spans roles in academia and research, with significant contributions in structural reliability and optimization. He has been a key researcher in multiple international collaborations and has supervised numerous graduate students on innovative civil engineering projects.

Awards and Honors šŸ†

Best PhD Student (2013), University of Sistan and Baluchestan, Iran. Distinguished Researcher (2015-2019), University of Zabol, Iran. Top 2% World Ranking Scientist (2020, 2021, 2022), Stanford University. Distinguished Young Researcher in Civil Engineering (2021), The Academy of Science, Iran. Keshtegar has been widely recognized for his research excellence, receiving multiple awards for his work in civil engineering. His distinguished achievements place him among the worldā€™s top scientists in structural reliability and optimization.

Research Focus šŸ”¬

Structural Reliability Analysis: Investigating stability transformation methods, probabilistic analysis, and reliability-based design optimization. Optimization: Focus on swarm optimization, harmony search, and artificial intelligence-based optimization of structures. Mathematical Modeling: Nonlinear modeling using AI techniques, metheuristic optimization, and response surface methods Keshtegarā€™s research emphasizes the use of advanced computational methods for structural analysis, optimization, and reliability assessment, with applications ranging from civil infrastructure to nano-composite structures. His work incorporates AI-driven models and cutting-edge optimization techniques.

Publications Top Notes:

  • Probabilistic framework for fatigue life assessment of notched components under size effects
    • International Journal of Mechanical Sciences, 2020, 181, 105685
    • Cited by: 299

 

  • Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks
    • International Journal of Fatigue, 2021, 142, 105912
    • Cited by: 175

 

  • Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
    • Renewable and Sustainable Energy Reviews, 2018, 81, 330-341
    • Cited by: 155

 

  • Probabilistic modeling of fatigue life distribution and size effect of components with random defects
    • International Journal of Fatigue, 2019, 126, 165-173
    • Cited by: 149

 

  • A hybrid relaxed first-order reliability method for efficient structural reliability analysis
    • Structural Safety, 2017, 66, 84-93
    • Cited by: 144

 

  • Prediction of maximum pitting corrosion depth in oil and gas pipelines
    • Engineering Failure Analysis, 2020, 112, 104505
    • Cited by: 142

 

  • Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
    • Computer Methods in Applied Mechanics and Engineering, 2022, 388, 114218
    • Cited by: 140

šŸŽÆ Conclusion:

Behrooz Keshtegar is a highly accomplished researcher in the field of civil engineering with significant contributions to structural reliability, optimization, and artificial intelligence in engineering. His international recognition, strong publication record, and extensive contributions to both academic research and teaching make him a strong candidate for a Best Researcher Award. With minor improvements in language and outreach, his profile would be even more formidable.

 

Mohamed ERRAMI Univers | Corrosion | Best Researcher Award

Prof. Mohamed ERRAMI Univers | Corrosion | Best Researcher Award

šŸ‘Øā€šŸ«Profile Summary

With 49 publications and an impressive citation record, Alina Urnikytė, PhD, is a respected authority in the field. Her work, cited over 545 times on SCOPUS and 226 times on Google Scholar, attests to her influence. Notable publications include contributions to esteemed journals like International Journal of Electrochemical Science, Corrosion Science, Atmospheric Environment, Materials Letters, and Progress in Organic Coatings. Through her research, she has made significant contributions to various areas, showcasing her expertise in electrochemistry, corrosion science, environmental studies, materials science, and organic coatings.

šŸŒ Professional Profiles

Professional Experience šŸ’¼

Formateur chez Centaure Innovation, Universiapolis (March 2016 – Present):

  • Conducted training sessions on topics including climate change and arganiculture as part of the Vulnerable Areas Arganiculture Development Project (DARED).
  • Provided training on Fair Trade and Corporate Social and Environmental Responsibility (CSR).
  • Delivered sessions on quality management, traceability, and production within a fair trade context.
  • Conducted training on Quality Management and Lean Manufacturing for International Nursery.
  • Provided training on Good Hygiene Practices for International Nursery.
  • Conducted ongoing training on sampling plans for ANAPEC.

Enseignant Chercheur Ć  lā€™Ecole Polytechnique, UniversitĆ© International dā€™Agadir (March 2015 – Present):

  • Taught courses in Agri-food and Preparatory Cycle.
  • Served as Coordinator of the Agri-food Industrial Engineering program.

Additional Experience:

  • Conducted Directed Work in Physical Chemistry of Electrolytes and Electrochemistry at the Department of Chemistry, FSA Agadir (2014).
  • Provided training for participants in the General Housing Census (2014).
  • Served as Adjunct Instructor at Ecole Polytechnique, teaching courses in General Chemistry, Organic Chemistry, Food Technology, and Analytical Techniques (2014).
  • Conducted Directed Work in Thermochemistry and Physical Chemistry of Electrolytes and Electrochemistry at the Department of Chemistry, Faculty of Sciences, University Ibn Zohr, Agadir (2013-2014).
  • Taught General Chemistry for the first year of the Preparatory Class at Ecole Nationale des Sciences AppliquĆ©es dā€™Agadir (2013-2014).
  • Conducted practical work on industrial water treatment using electrocoagulation technique for the 5th year of the Process Engineering program at ENSA Agadir (2013-2014).

šŸ“šTop Noted Publication

  1. Title: Green Ostrich fat waste extracts as a novel potential inhibitor to sustainable corrosion of steel in acidic environments: Electrochemical and DFT evaluation
    • Authors: Errami, M., EL-Asri, A., Fdil, S., …, Hadfi, A., Ait Akbour, R.
    • Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects
    • Year: 2024
    • Volume: 689
    • Pages: 133684

 

  1. Title: Toxicity Profile, Phytochemical Composition, and Anti-scaling Properties of the Aqueous Extract of Ocimum basilicum L. Leaves as Novel Green and Cost-Effective Inhibitor: Experimental, MC/SAA and DFT Approach
    • Authors: Housse, M.E., Hadfi, A., Karmal, I., …, Iberache, N., Driouiche, A.
    • Journal: Waste and Biomass Valorization
    • Year: 2023
    • Volume: 14
    • Issue: 11
    • Pages: 3553ā€“3573
  1. Title: Study of scaling problem in the region of tata (Morocco): Analysis of the elemental composition, crystalline phases, and morphologies of scale deposition in water installations
    • Authors: El Housse, M., Hadfi, A., Karmal, I., …, Tounsi, A., Driouiche, A.
    • Journal: Applied Radiation and Isotopes
    • Year: 2022
    • Volume: 188
    • Pages: 110388
    • Citations: 4

 

  1. Title: Valorization of Crocus Sativus L waste extracts as efficient, eco-friendly and economical inhibitors of scaling: Experimental and computational investigations
    • Authors: El Housse, M., Hadfi, A., Karmal, I., …, Mohareb, S., Driouiche, A.
    • Journal: Journal of Molecular Liquids
    • Year: 2021
    • Volume: 344
    • Pages: 117718
    • Citations: 12

 

  1. Title: Experimental investigation and molecular dynamic simulation of Tannic acid as an eco-friendly inhibitor for calcium carbonate scale
    • Authors: El Housse, M., Hadfi, A., Karmal, I., …, Mohareb, S., Driouiche, A.
    • Journal: Journal of Molecular Liquids
    • Year: 2021
    • Volume: 340
    • Pages: 117225
    • Citations: 14