Behrooz Keshtegar | Civil engineering | Researcher Award

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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.

 

Chixin Xiao | Smart Grid | Best Researcher Award

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Dr. Chixin Xiao | Smart Grid | Best Researcher Award

Professor at Xiangtan University China

Chixin Xiao is a Professor of Computer Science at Xiangtan University, China, with extensive experience in computational intelligence and power engineering. He has held academic roles at the University of Essex, the University of Newcastle, and Hong Kong Cyberport, and his work focuses on smart grid resilience and electricity market optimization.

Publication profile

Scopus

Orcid

Education šŸŽ“

Chixin earned his Masterā€™s degree in Computer Science from Xiangtan University in 2004, his first Ph.D. in Computer Application Technology from Central South University in 2009, and his second Ph.D. in Power Engineering from the University of Wollongong, Australia, in 2021.

Experience šŸ’¼

Chixin Xiao has served in various academic positions at leading institutions, including the University of Essex and the University of Newcastle, Australia. Currently a professor at Xiangtan University, he continues his research and teaching despite COVID-19 restrictions.

Awards and Honors šŸ†

As a Senior Member of IEEE, Chixin Xiao has been recognized for his contributions to computational intelligence and power engineering, earning accolades for his research on smart grid systems and power system modeling.

Research Focus šŸ”¬

Chixin’s research centers on computational intelligence, focusing on smart grid resilience, power system planning, and optimization in electricity markets. His work aims to improve energy efficiency and the reliability of power systems.

Publication

  1. Blockchain-based Anonymous Authentication and Data Aggregation for Advanced Metering Infrastructure in Smart Grid
    • Authors: T. Pei, Z. Hou, J. Zhou, C. Xiao, J. Zou
    • Published In: International Journal of Critical Infrastructure Protection, 2024
    • Citations: 0

 

  1. Online Sequential Extreme Learning Machine Algorithm for Better Predispatch Electricity Price Forecasting Grids
    • Authors: C. Xiao, D. Sutanto, K.M. Muttaqi, K. Meng, Z.Y. Dong
    • Published In: IEEE Transactions on Industry Applications, 2021
    • Citations: 17

 

  1. Multi-period Data Driven Control Strategy for Real-time Management of Energy Storages in Virtual Power Plants Integrated with Power Grid
    • Authors: C. Xiao, D. Sutanto, K.M. Muttaqi, M. Zhang
    • Published In: International Journal of Electrical Power and Energy Systems, 2020
    • Citations: 12

 

  1. Hierarchical Data-Driven Optimization Scheme Compatible with the Conception of Solid-State Power Substation for Real-time VPP Management
    • Authors: C. Xiao, D. Jiang, B. Shu, M. He
    • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids, 2023
    • Citations: 0

 

  1. A Hybrid of Multidisciplinary Design and Multi-Objective Optimization for Solving Combined Heat and Power Environmental Economic Dispatch
    • Authors: C. Xiao, Z. Hu, Z. Piao, D. Jiang
    • Published In: 2023 IEEE IAS Global Conference on Emerging Technologies, 2023
    • Citations: 0

 

  1. Decision Making Based on Tradeoff Solving for Economic Emission Dispatch in Combined Heat and Power Environment
    • Authors: C. Xiao, D. Jiang, Z. Hu
    • Published In: IEEE International Conference on Systems, Man and Cybernetics, 2022
    • Citations: 0

 

  1. Minimizing Immune Costs in Social Networks Through Reinforcement Learning
    • Authors: H. Nie, P. Li, Y. Zhou, X. Wang, C. Xiao
    • Published In: Communications in Computer and Information Science, 2022
    • Citations: 0

 

Asad Al Bostami | Civil Engineering |Best Researcher Award

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Prof Dr.Asad Al Bostami | Civil Engineering | Best Researcher Award

Assist Prof Dr Asad Al Bostami Oryx Universal College in Partnership with Liverpool John Moores, Qatar

Dr. Asad Shukri Al Bostami is an Assistant Professor of Civil Engineering specializing in structural engineering and materials. He holds a Ph.D. in Civil Engineering from The University of Manchester, where his research focused on the state space approach to cross-laminated timber panels. With extensive teaching and research experience at institutions such as Oryx Universal College in Qatar and the University of Petra in Jordan, he has taught key courses including Structural Analysis, Engineering Materials, and Revit Structures. Dr. Al Bostami has published numerous research articles in high-impact journals and actively engages in research related to sustainable construction practices. Additionally, he has served as a Dean Assistant for Quality Assurance at the University of Petra, overseeing accreditation processes and strategic planning. His professional memberships include the American Concrete Institute (ACI) and the American Society of Civil Engineers (ASCE).

Publication Profile

Orcid

šŸ† Researcher Strengths for the Best Researcher Award

  1. Diverse Research Expertise: Dr. Asad Shukri Al Bostami has a well-rounded research portfolio that spans structural engineering, sustainable construction materials, and advanced computational techniques. His publications in peer-reviewed journals highlight his focus on predictive modeling, cross-laminated timber (CLT), and composite structures.
  2. Strong Publication Record: With several journal articles and conference papers published, particularly in high-impact journals, Dr. Bostami demonstrates a consistent contribution to the field. His research includes collaborations with other experts and applications of cutting-edge technologies like soft computing in civil engineering.
  3. Professional Recognition: He serves on editorial boards and as a guest editor, indicating recognition within the academic community. His involvement in reputable professional organizations such as the American Concrete Institute (ACI) and the American Society of Civil Engineers (ASCE) further attests to his standing.
  4. Teaching and Mentorship: Dr. Bostamiā€™s extensive teaching experience, particularly at the undergraduate and postgraduate levels, aligns with his commitment to academic leadership. He supervises significant research projects, demonstrating an ability to guide emerging researchers.
  5. International Experience: Having worked and studied in multiple countries, including the UK, Qatar, and Jordan, Dr. Bostami brings a global perspective to his research and academic contributions, enhancing the relevance and applicability of his work.

šŸ”§ Areas for Improvement

    1. Focused Research Impact: While Dr. Bostami has published across various topics, focusing more narrowly on a few key research themes might increase his workā€™s visibility and impact. Developing a strong niche area could also enhance his reputation within specific subfields.
    2. Grant Acquisition: Although Dr. Bostami has experience securing research funds, further strengthening his grant acquisition skills, particularly by winning more competitive international funding, would bolster his profile as a leading researcher.
    3. Research Collaboration: Expanding research collaborations with top-tier international universities or industry partners could enhance the practical impact and innovation potential of his work.

 

Publications:

  • Data-Driven Predictive Modeling of Steel Slag Concrete Strength for Sustainable Construction
    • Journal: Buildings
    • Publication Date: August 10, 2024
    • DOI: 10.3390/buildings14082476
    • Contributors: Asad S. Albostami, Rwayda Kh. S. Al-Hamd, Ali Ammar Al-Matwari

 

  • An Optimized Prediction of FRP Bars in Concrete Bond Strength Employing Soft Computing Techniques
    • Journal: Journal of Building Engineering
    • Publication Date: June 2024
    • DOI: 10.1016/j.jobe.2024.108883
    • Contributors: Rwayda Kh. S. Al-Hamd, Asad S. Albostami, Saif Alzabeebee, Baidaa Al-Bander

 

  • Shear Strength Assessment of Reinforced Recycled Aggregate Concrete Beams without Stirrups Using Soft Computing Techniques
    • Journal: Journal of Building Pathology and Rehabilitation
    • Publication Date: September 2023
    • DOI: 10.1007/s41024-023-00343-w
    • Contributors: Asad S. Albostami, Rwayda Kh. S. Al-Hamd, Saif Alzabeebee

 

  • Soft Computing Models for Assessing Bond Performance of Reinforcing Bars in Concrete at High Temperatures
    • Journal: Innovative Infrastructure Solutions
    • Publication Date: August 2023
    • DOI: 10.1007/s41062-023-01182-x
    • Contributors: Asad S. Albostami, Rwayda Kh. S. Al-Hamd, Saif Alzabeebee

 

  • Application of Soft Computing in Predicting the Compressive Strength of Self-Compacted Concrete Containing Recyclable Aggregate
    • Journal: Asian Journal of Civil Engineering
    • Publication Date: July 5, 2023
    • DOI: 10.1007/s42107-023-00767-2
    • Contributors: Asad S. Albostami, Rwayda Kh. S. Al-Hamd, Saif Alzabeebee, Andrew Minto, Suraparb Keawsawasvong

 

šŸ“ˆ Conclusion

Dr. Asad Shukri Al Bostami presents a compelling case for the Best Researcher Award. His diverse research interests, significant publication record, and active engagement in academic leadership make him a strong candidate. By refining his research focus and increasing high-profile collaborations and funding opportunities, he can further solidify his standing as a leading researcher in civil engineering.