Luís Laím | Civil | Best Researcher Award

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Mr. Luís Laím | Civil | Best Researcher Award

Luís Miguel dos Santos Laím is an Assistant Professor at the Department of Civil Engineering, University of Coimbra, Portugal. He holds a PhD in Fire Safety Engineering, and is an Integrated Research Member of ISISE. His academic journey includes various invited positions and significant involvement in teaching, research, and consultancy in the field of Civil Engineering, particularly in structural fire engineering, optimization, and computational intelligence.

Publication Profile

Scholar

🎓Education

Licentiate Degree in Civil Engineering, University of Coimbra, 2007, grade: 17/20. Integrated Master’s Degree in Civil Engineering, University of Coimbra, 2008, grade: 17/20 Ph.D. in Fire Safety Engineering, University of Coimbra, 2013, approved with distinction and honour

💼Experience

Invited Assistant Professor (2014–2019), University of Coimbra. PhD Researcher (2019–2023), ISISE, University of Coimbra. Assistant Professor (2023–present), Department of Civil Engineering, University of Coimbra. Co-supervisor of 11 Master’s Theses and 4 PhD Theses

🏆Awards and Honors

PhD with Distinction and Honour, University of Coimbra. Best Paper Award, International Conferences. Recognition as Reviewer for over 100 scientific journals. Principal Investigator, Fire_Improv_ColdFSteel Project

🔬Research Focus

Structural Fire Engineering. Fire Testing Methods and Fire Dynamics. Structural Analysis & Optimization. Computational Intelligence & Performance-based Design. Steel & Composite Structures

Conclusion

Luís Laím stands out as a highly skilled researcher and educator whose work has contributed significantly to the advancement of structural fire safety and fire dynamics. His exceptional academic achievements, combined with his leadership in research and consultancy, make him a strong candidate for the Best Researcher Award. By continuing to build on his solid foundation and engaging in interdisciplinary collaborations, Laím has the potential to further elevate his influence in the field of civil engineering.

Publications

  • Experimental and numerical analysis on the structural behaviour of cold-formed steel beams
    • Authors: L Laim, JPC Rodrigues, LS da Silva
    • Published in: Thin-Walled Structures, 72, 1-13
    • Year: 2013
    • Summary: This study investigates the structural behavior of cold-formed steel beams, combining experimental and numerical analyses to understand their performance under different loading conditions.

 

  • Review of the high temperature mechanical and thermal properties of the steels used in cold formed steel structures–The case of the S280 Gd+ Z steel
    • Authors: HD Craveiro, JPC Rodrigues, A Santiago, L Laím
    • Published in: Thin-Walled Structures, 98, 154-168
    • Year: 2016
    • Summary: This review focuses on the high-temperature mechanical and thermal properties of the S280 Gd+ Z steel used in cold-formed steel structures, emphasizing its behavior under fire conditions.

 

  • Behaviour of fiber reinforced concrete columns in fire
    • Authors: JPC Rodrigues, L Laím, AM Correia
    • Published in: Composite Structures, 92 (5), 1263-1268
    • Year: 2010
    • Summary: The study explores the behavior of fiber-reinforced concrete columns when exposed to fire, highlighting their fire resistance and performance under high temperatures.

 

  • Buckling resistance of axially loaded cold-formed steel columns
    • Authors: HD Craveiro, JPC Rodrigues, L Laím
    • Published in: Thin-Walled Structures, 106, 358-375
    • Year: 2016
    • Summary: This paper examines the buckling resistance of axially loaded cold-formed steel columns, providing insights into their stability and failure mechanisms.

 

  • Buckling resistance of concrete-filled cold-formed steel (CF-CFS) built-up short columns under compression
    • Authors: R Rahnavard, HD Craveiro, RA Simões, L Laím, A Santiago
    • Published in: Thin-Walled Structures, 170, 108638
    • Year: 2022
    • Summary: The study investigates the buckling resistance of concrete-filled cold-formed steel built-up short columns under compression, offering guidance for their design and performance.

 

  • Buckling behavior of closed built-up cold-formed steel columns under compression
    • Authors: HD Craveiro, R Rahnavard, L Laím, RA Simões, A Santiago
    • Published in: Thin-Walled Structures, 179, 109493
    • Year: 2022
    • Summary: This paper analyzes the buckling behavior of closed built-up cold-formed steel columns subjected to compression, focusing on their load-bearing capacity and structural integrity.

 

  • Cold-formed steel columns made with open cross-sections subjected to fire
    • Authors: HD Craveiro, JPC Rodrigues, L Laím
    • Published in: Thin-Walled Structures, 85, 1-14
    • Year: 2014
    • Summary: The study explores the behavior of cold-formed steel columns with open cross-sections when exposed to fire, assessing their fire resistance and structural stability.

 

  • Concrete-filled cold-formed steel (CF-CFS) built-up columns under compression: Test and design
    • Authors: R Rahnavard, HD Craveiro, M Lopes, RA Simões, L Laím, C Rebelo
    • Published in: Thin-Walled Structures, 179, 109603
    • Year: 2022
    • Summary: This paper presents experimental tests and design recommendations for concrete-filled cold-formed steel built-up columns under compression, contributing to the understanding of their performance.

 

  • Flexural behaviour of beams made of cold-formed steel sigma-shaped sections at ambient and fire conditions
    • Authors: L Laím, JPC Rodrigues, HD Craveiro
    • Published in: Thin-Walled Structures, 87, 53-65
    • Year: 2015
    • Summary: The study investigates the flexural behavior of cold-formed steel beams with sigma-shaped sections under both ambient and fire conditions, providing insights into their structural performance under fire exposure.

 

 

 

Behrooz Keshtegar | Civil engineering | Researcher Award

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Prof.  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 🎓

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 Keshtegar’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 💼

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 Keshtegar’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 🏆

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 world’s top scientists in structural reliability and optimization.

Research Focus 🔬

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 Keshtegar’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

🎯 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.