LuĆ­s LaĆ­m | Civil | Best Researcher Award

Mr. LuĆ­s LaĆ­m | Civil | Best Researcher Award

LuĆ­s Miguel dos Santos LaĆ­m 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

šŸŽ“Education

Licentiate Degree in Civil Engineering, University of Coimbra, 2007, grade: 17/20. Integrated Masterā€™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

šŸ’¼Experience

Invited Assistant Professor (2014ā€“2019), University of Coimbra. PhD Researcher (2019ā€“2023), ISISE, University of Coimbra. Assistant Professor (2023ā€“present), Department of Civil Engineering, University of Coimbra. Co-supervisor of 11 Masterā€™s Theses and 4 PhD Theses

šŸ†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

šŸ”¬Research Focus

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

Conclusion

LuĆ­s LaĆ­m 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, LaĆ­m 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 structuresā€“The case of the S280 Gd+ Z steel
    • Authors: HD Craveiro, JPC Rodrigues, A Santiago, L LaĆ­m
    • 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 LaĆ­m, 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 LaĆ­m
    • 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 SimƵes, L LaĆ­m, 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 LaĆ­m, RA SimƵes, 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 LaĆ­m
    • 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 SimƵes, L LaĆ­m, 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 LaĆ­m, 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.

 

 

 

Dongwook Kim | Civil Engineering | Best Researcher Award

Dr. Dongwook Kim | Civil Engineering | Best Researcher Award

Civil Smart Engineering Team at DL E&C South Korea

Dongwook Kim, Ph.D., is a Senior Manager in the Civil Smart Engineering Team at DL E&C, Seoul, Korea. With a profound academic background in civil engineering, he specializes in modular construction, composite structures, and BIM technologies. Dr. Kim has significantly contributed to smart construction advancements, earning a reputation as an expert in integrating cutting-edge machine learning and digital engineering practices. His collaborative initiatives span industry, government, and academia, aiming to revolutionize infrastructure development. A prolific contributor to technical committees and academic forums, he is deeply involved in shaping national BIM standards and promoting smart construction technologies.

Publication Profile

Orcid

šŸŽ“Education

Ph.D. in Civil Engineering (2011-2016) – Chung-Ang University, Seoul, Korea (GPA: 4.41/4.50). M.S. in Civil and Environmental Engineering (2007-2009) – Chung-Ang University, Seoul, Korea (GPA: 4.31/4.50). B.S. in Civil and Environmental Engineering (2001-2007) – Chung-Ang University, Seoul, Korea (GPA: 3.65/4.50).

šŸ’¼Experience

Dr. Kim has extensive experience in civil engineering, holding key roles at DL E&C, Daelim Industrial Co., and Chungsuk Engineering. As a Senior Manager, he spearheads initiatives in BIM and smart construction technologies. His academic tenure includes serving as a Research and Teaching Assistant at Chung-Ang University, where he contributed to composite structures research. Dr. Kimā€™s expertise extends to technical advisory roles, guiding infrastructure and digital construction projects.

šŸ†Awards and Honors

Chairperson for Construction BIM Standards Curriculum Development (2024). Numerous roles in national BIM committees, shaping Koreaā€™s digital construction policies. Recognized for excellence in smart construction technologies through advisory and academic achievements.

šŸ”¬Research Focus

Dr. Kimā€™s research spans modular construction, composite structures, and BIM technologies. He explores machine learning applications, smart construction innovations, and digital engineering. His focus is on modular CFT columns, fast construction using BIM, and enhancing infrastructure design with AI integration.

Conclusion

Dr. Dongwook Kim’s outstanding academic credentials, substantial contributions to smart construction, and active role in shaping BIM standards make him a prime candidate for the Best Researcher Award. His continuous involvement in cutting-edge projects and technical committees demonstrates his leadership in the transformation of the civil engineering industry. With some focused attention on integrating newer technological advancements, particularly in AI, his research has the potential to drive significant innovation in the construction sector.

Publications

  1. Cyclic Performance of Prefabricated Bridge Piers with Concrete-Filled Steel Tubes and Improved Bracing Connection Detail
    Journal: Applied Sciences
    Date: 2024-12-17
    DOI: 10.3390/app142411810
    Contributors: Dongwook Kim, Chi-Ho Jeon, Ki-Tae Park

 

  1. Soil Sharing and Equipment Operations Through Digitalization of Large-Scale Earthworks
    Journal: Buildings
    Date: 2024-12-15
    DOI: 10.3390/buildings14123981
    Contributors: Dongwook Kim

 

  1. An Experimental Study on the Deterioration Behaviour of External Tendons Due to Corrosion
    Journal: KSCE Journal of Civil Engineering
    Date: 2023-12
    DOI: 10.1007/s12205-023-0316-5
    Contributors: Dongwook Kim, Chi-Ho Jeon, Chang-Su Shim

 

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.

 

Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

Dr. Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

Dr Prasanna Kumar G The National Institute of Engineering India

Dr. Prasanna Kumar G has made substantial contributions to the fields of cybersecurity and ubiquitous networks through a diverse range of publications and research activities. His scholarly work spans several key areas including machine learning in cybersecurity, IoT-based networking solutions, and advanced network models for seamless connectivity.

Academic History šŸŽ“

Ph.D. in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2023).M.Tech in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2011) ā€“ 80.80%.Bachelorā€™s in Computer Science and Engineering, Visvesvaraya Technological University, Coorg Institute of Technology, Ponnampet (2009) ā€“ 58.14%.PUC, Karnataka PU Board, Sarada Vilas PU College, Mysore (2005) ā€“ 62.00%.S.S.L.C., Karnataka Secondary Education Board, Sadvidya High School, Mysore (2003) ā€“ 76.00%.

Technical Skills šŸ› ļø

Programming Languages: C, C++, Java, PHP, C#.Web Technologies: HTML, CSS, JavaScript, PHP.Operating Systems: Windows, Linux.Database Management: MySQL.Scripting: Shell Script

Projects and Patents šŸ—ļø

M.Tech Project: “Simulation of S-Bus Protocol Devices” ā€“ Development and component testing..Patent 1: “Smart Navigation Stick for the Visually Impaired” (Design No. 6295943).Patent 2: “AI-Based Smart Glasses for Visually Impaired” (Application No. 399870-001).

Training and Workshops šŸ§‘ā€šŸ«

Organized and attended various workshops on Python Programming, IoT, Smart Grid Technologies, Network Technologies, and Business Intelligence.

Achievements šŸ…

Guided projects that won awards, such as 1st prize in IEEE Project Expo 2023 and Best Paper Award in NCEIS-2019.

Publication

  • Introduction to Cyber Security
    Authors: S. Jadey, S.C. Girish, K. Raghavendra, H.R. Srinidhi, K.M. Anilkumar
    Book: Methods, Implementation, and Application of Cyber Security Intelligence and Analytics
    Year: 2022

 

  • NLADSS: Design of Connectivity as a Service (CaaS) Model using Node-Level Augmentation & Dynamic Sleep Scheduling for Heterogeneous Wireless Network Handoffs
    Author: P.K. Gurumallu
    Journal: International Journal of Intelligent Engineering & Systems
    Volume: 15 (5)
    Year: 2022

 

  • Machine Learning in Cybersecurity: A Comprehensive Survey of Data Breach Detection, Cyber-Attack Prevention, and Fraud Detection
    Authors: P. Kumar, D.Y. Gowda, A.M. Prakash
    Book: Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
    Year: 2024

 

  • An Efficient IoT-based Ubiquitous Networking Service for Smart Cities Using Machine Learning Based Regression Algorithm
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: International Journal of Information Technology and Computer Science (IJITCS)
    Volume: 15, Pages 15-25
    Year: 2023

 

  • A Novel Approach by Integrating Dynamic Network Selection and Security Measures to Improve Seamless Connectivity in Ubiquitous Networks
    Authors: P. Kumar G, S. N., R. M. B., S. J., S. B. S., D. Y., M. K. B.
    Journal: International Journal of Wireless and Microwave Technologies (IJWMT)
    Volume: 14 (1)
    Year: 2024

 

  • A Metaheuristic Handover Model Using Network Augmentation and Game Theory for Seamless Connectivity in Heterogeneous Networks
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: Wireless Personal Communications
    Volume: 134 (1), Pages 133-150
    Year: 2024

 

  • Basics of Healthcare Informatics
    Authors: J. Sudeep, M. Goutham, G. Prasannakumar, K. Raghavendra, S.C. Girish
    Book: Intelligent Systems in Healthcare and Disease Identification using Data Science
    Year: 2023

 

 

Conclusion:

Dr. Prasanna Kumar Gā€™s body of work reflects a deep engagement with both theoretical and practical aspects of cybersecurity and network engineering. His research not only contributes to the academic community but also offers practical solutions and frameworks applicable to real-world problems. His innovative approaches to network design, security measures, and machine learning applications are indicative of a forward-thinking researcher dedicated to enhancing technological and scientific understanding.

 

 

Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

Mr. Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

B.Tech in Information Technology (2004), UGC-NET qualified in Computer Science and Applications (2020). M.Tech in Computer Science and Engineering (2011), with nearly 11 years of teaching experience in Programming, Data Structures, and other core subjects for B.Tech. classes at various institutes.

Publication profile

Scopus

Scholar

šŸŽÆ Objective

To associate with a dynamic institute that provides a platform to update my knowledge and skills in teaching and research, anticipating and leading changes.

šŸ† Achievements

TS-SET 2022: Qualified, Osmania University (March 2023) UGC-NET (June 2020): Qualified in Computer Science and Applications. NPTEL Discipline Star (Dec 2019): Computer Science and Engineering. FET 2010: Qualified, Jawaharlal Nehru Technological University Hyderabad

šŸŽ“ Academic Qualifications

NET: UGC-NET (June 2020) in Computer Science and Applications. M.Tech: Computer Science and Engineering (2011), First Class with Distinction, SSEC Bandlaguda, Hyderabad. B.Tech: Information Technology (2004-08), First Class with Distinction, JITS, Karimnagar, Telangana. 12th Class: Sri Triveni Junior College, First Class, Godavarikhani, Dist: Karimnagar, Telangana. 10th Class: Sri Vishwa Shanthi High School, First Class, NTPC, Dist: Karimnagar, Telangana

šŸ« Teaching Experience

Asst. Prof. in Artificial Intelligence: Anurag University, Ghatkesar, Hyderabad (02-08-2023 to 30-04-2024) Asst. Prof. in Computer Science and Engineering: MVSR Engineering College, Hyderabad (07-09-2022 to 31-07-2023). Sr. Asst. Prof. in Computer Science and Engineering: CVR College of Engineering, Hyderabad (02-06-2014 to 30-08-2022). Asst. Prof. in Computer Science and Engineering: Sree Chaitanya Institute of Technological Sciences, Karimnagar (13-12-2011 to 21-05-2014). Asst. Prof. in Computer Science and Engineering: Nigama Engineering College, Karimnagar (13-12-2011 to 21-05-2014)

šŸ”¬ Research Experience

  • Completed Pre-Ph.D. at SRM Institute of Science and Technology, Kattankulathur, Chennai

Research Excellence Evaluation: Sathya Prakash Racharla

Strengths for the Award:

Academic and Professional Credentials: Educational Background: Sathya Prakash Racharla holds a B.Tech in Information Technology, an M.Tech in Computer Science and Engineering, and has qualified UGC-NET in Computer Science and Applications. Teaching Experience: With over 11 years of experience, he has taught core subjects in various prestigious institutes and has held roles ranging from Assistant Professor to Senior Assistant Professor. Research Contributions: He has published numerous papers in reputed journals and conferences, demonstrating a significant contribution to his field, particularly in wireless sensor networks, machine learning, and data science. Achievements and Certifications: Certifications: Completion of various MOOCs through NPTEL and FDPs through AICTE indicates a commitment to continuous learning and staying updated with the latest advancements. Awards: Recognized for excellence through NPTEL and TS-SET certifications, which highlight his proficiency and dedication to the field of Computer Science. Research Experience: Publications: A strong record of publications in international journals and conferences demonstrates a high level of research activity and impact in areas like wireless sensor networks, machine learning, and data science. Pre-Ph.D. Completion: The completion of Pre-Ph.D. from a reputable institute further indicates his readiness for advanced research and contributes to his research profile.

Areas for Improvement:

Research Grants and Projects: Grants: There is limited information on substantial research grants or major projects led by the candidate. Securing and leading significant research grants can enhance his research profile and funding capabilities. Research Impact: Expanding on the practical impact and applications of his research work could strengthen his overall profile and demonstrate a broader impact in his field. Advanced Research Contributions: Innovation and Patents: While he has a strong publication record, involvement in innovative research leading to patents or groundbreaking technologies could further enhance his profile. Collaborations and Multidisciplinary Research: Engaging in interdisciplinary research and collaborations could provide a more comprehensive approach to complex problems and increase visibility in diverse research communities.

 

Publication top notes

  1. Title: A review on localization problems in wireless sensor network: Algorithmic and performance analysis
    Authors: SP Racharla, J Kalaivani
    Year: 2021

 

  1. Title: An Iterative approach for the Restoration of Motion Blurred Images
    Authors: MSP Racharla, MKS Babu, AK Jakkani
    Year: Not provided

 

  1. Title: Hybridised swarm intelligence approach for multi-objective-based node localisation in wireless sensor network: hybrid glow-worm and cat swarm algorithm
    Authors: SP Racharla, K Jeyaraj
    Year: 2024

 

  1. Title: Review on RBFNN design approaches: A case study on diabetes data
    Authors: R Cheruku, D Tripathi, Y Narasimha Reddy, S Prakash Racharla
    Year: 2018

 

  1. Title: Reducing Overfitting Problem in Machine Learning using L1/4 Activation Function
    Authors: SP Racharla, M Umar, VDS Krishna
    Year: 2020

Conclusion:

Sathya Prakash Racharla is a well-qualified and experienced academic with a solid background in computer science and engineering. His achievements, teaching experience, and research contributions position him as a strong candidate for recognition in research excellence. To further strengthen his profile, focusing on securing significant research grants, engaging in innovative projects, and expanding his impact through interdisciplinary research would be beneficial. His commitment to continuous learning and contributions to his field are commendable and align well with the criteria for excellence in research.

 

Asad Al Bostami | Civil Engineering |Best Researcher Award

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.

 

 

Christopher Boafo | Technology | Best Researcher Award

Dr. Christopher Boafo | Technology | Best Researcher Award

Christopher Boafo is a researcher at Leipzig University’s International SEPT Competence Centre, based in Leipzig, Germany. He holds a PhD in Management Science and an MBA in Small and Medium-Sized Enterprise Development, both from Leipzig University, along with a BA in Publishing Management from Kwame Nkrumah University of Science and Technology, Ghana. His expertise spans quantitative and qualitative methodologies, university-business linkages, and SME internationalization. Christopher has received notable awards including the ACCESS Scholarship Grant for PhD Studies and the DAAD Carlo-Schmid Fellowship at UN Volunteers Headquarters.

Profile

Scopus

 

šŸŽ“Education:

  • PhD in Management Science, Leipzig University
  • MBA in Small and Medium-Sized Enterprise Development, Leipzig University
  • BA in Publishing Management, Kwame Nkrumah University of Science and Technology, Ghana

šŸ“ŠSpecializations: Quantitative & qualitative methodologies, university-business linkages, SME internationalization.

Professional Experience:

  • Current: Researcher at International SEPT Competence Center, Leipzig University
  • Previous roles include international consultancy and UN volunteer work

šŸŽ“Teaching Activities:

  • Lecturer at SEPT MBA Unit, Leipzig University, focusing on Entrepreneurship and SME Internationalization

šŸ…Awards:

  • ACCESS Scholarship Grant for PhD Studies
  • DAAD Carlo-Schmid Fellowship at UN Volunteers Headquarters

Publications Top Notes šŸ“

 

  • Knowledge Transfer From Business Schools to Firms Through Academics: An AMO Perspective in an Emerging Economy
    • Journal: Thunderbird International Business Review
    • Year: 2024 (Article in Press)
    • Access: Open access

 

  • International entrepreneurship in Sub-Saharan Africa: interfirm coordination and local economy dynamics in the informal economy
    • Journal: Journal of Small Business and Enterprise Development
    • Year: 2023
    • Volume: 30
    • Issue: 3
    • Pages: 587ā€“620
    • Citations: 3

 

  • Understanding internationalisation of informal African firms through a network perspective
    • Journal: International Small Business Journal: Researching Entrepreneurship
    • Year: 2022
    • Volume: 40
    • Issue: 5
    • Pages: 618ā€“649
    • Access: Open access
    • Citations: 10

 

  • Informal born regional enterprises in Ghana: an extension of internationalisation theories
    • Journal: International Journal of Entrepreneurship and Small Business
    • Year: 2022
    • Volume: 47
    • Issue: 4
    • Pages: 450ā€“493
    • Citations: 0

Muhammad Jabbar| Urban environment | Best Researcher Award

Dr.Ā Muhammad Jabbar | Urban environment | Best Researcher Award

Dr. Muhammad Jabbar is a dedicated Lecturer in Geography at Govt. Associate College (B) Shalimar Town, Lahore, with over a decade of teaching experience at various esteemed institutions. He earned his Ph.D. in Geography from the University of Malaya, Kuala Lumpur, and has an M.Phil from Govt. College University, Lahore. Dr. Jabbar’s research focuses on urban green spaces, sustainable urban planning, and environmental impacts. He has published extensively in renowned journals, exploring key indicators for quality of life, human well-being, and environmental sustainability. Additionally, he is an expert in GIS, statistical analysis, and various geographical software, and has authored several academic books.

Profile

Scholar

šŸ“š Academic Qualification

Ph.D. Geography [2019 ā€“ 2023] | University of Malaya, Kuala Lumpur, Malaysia. M.Phil Geography [2013 ā€“ 2015] | Govt. College University, Lahore. M.Sc. Geography [2001 ā€“ 2003] | University of the Punjab, Lahore

šŸ¢ Work Experience

[2022 ā€“ Onward] | Lecturer | Govt. Associate College (B) Shalimar Town, Lahore, [2011 ā€“ 2021] | Lecturer | Govt. Islamia College, Railway Road, Lahore, [2009 ā€“ 2011] | Lecturer | Govt. College Talagang, Chakwal

šŸ“‹ Administrative Duties

[2022 ā€“ to date] In charge of Quality Enhancement Cell, [2022 ā€“ to date] In charge of Students Career Counselling, [2022 ā€“ to date] In charge of the Drug Control Committee, [2022 ā€“ to date] Member of Timetable Committee, [2022 ā€“ to date] Member of Events Organizing Committee, [2022 ā€“ to date] Administrative Affair Committee, [2022 ā€“ to date] Member of Library Committee, [2022 ā€“ to date] Member of Leave Record Committee, [2022 ā€“ to date] Member of the Students Affairs Committee, [2011 ā€“ 2019] Member of College Admission Committee

šŸ’» Software & Skills

MS Office: Expert, ArcGIS: Expert, QGIS: Expert, IDRISI Selva: Expert, SPSS: Expert, Smart PLS: Expert, Statistical Downscale Modelling: Expert, Python: Medium, R Software: Medium

šŸ“š Written Books

Commercial Geography | I.Com. | 1st Edition 2014, Physical Geography | 1st Year | 2nd Edition 2016, Regional Geography | 2nd Year | 1st Edition 2016, The Art of Research | M.Sc. M.Phil. Ph.D. | 1st Edition 2016, Fundamental of Physical Geography | BS | 1st Edition 2018

Publications Top Notes šŸ“

  • Assessing the role of urban green spaces for human well-being: A systematic review
    • Journal: GeoJournal
    • Publication Date: 2021
    • Citations: 147
    • Contributors: M. Jabbar, M.M. Yusoff, A. Shafie

 

  • Assessing the spatiotemporal urban green cover changes and their impact on land surface temperature and urban heat island in Lahore (Pakistan)
    • Journal: Geography, Environment, Sustainability
    • Publication Date: 2022
    • Citations: 12
    • Contributors: M. Jabbar, M.M. Yusoff

 

  • Assessing and Modelling the role of urban green spaces for human well-being in Lahore (Pakistan)
    • Journal: Geocarto International
    • Publication Date: 2022
    • Citations: 10
    • Contributors: M. Jabbar, M. Mohd Yusoff

 

  • Evaluating The Visitorsā€™ Perception And Available Ecosystem Services In Urban Parks Of Lahore (Pakistan)
    • Journal: Geography, Environment, Sustainability
    • Publication Date: 2023
    • Citations: 5
    • Contributors: A. Hanif, S.A. Shirazi, M. Jabbar, A. Liaqat, S. Zia, M.M. Yusoff

 

  • Spatial analysis of the factors responsible for waterborne diseases in rural communities located along the Hudiara Drain, Lahore
    • Journal: Pakistan Geographical Review
    • Publication Date: 2020
    • Citations: 4
    • Contributors: M. Jabbar

 

  • Predicting the impact of land use changes on thermal environment in Lahore, Pakistan: Implications for urban planning
    • Journal: Geography, Environment, Sustainability
    • Publication Date: 2024
    • Citations: 3
    • Contributors: M. Jabbar, M. Nasar-u-Minallah, M.M. Yusoff

 

  • Measuring and modeling the association between human psychological well-being and urban green spaces of Lahore, Pakistan
    • Journal: Journal of Environmental Studies and Sciences
    • Publication Date: 2024
    • Citations: 3
    • Contributors: M. Jabbar, M.N.M.M.Y.

 

  • Modelling the services of green spaces for communal well-being in the urban environment of Lahore, Pakistan
    • Journal: GeoJournal
    • Publication Date: 2024
    • Citations: 2
    • Contributors: M. Jabbar, M. Nasar-u-Minallah, M.M. Yusoff

 

  • Assessing the impact of land use changes on air pollution removal capacity: A three-decade analysis applying the I-TREE ECO model
    • Journal: Bulletin of Business and Economics
    • Publication Date: 2023
    • Citations: 2
    • Contributors: S.M. Muhammad Jabbar, Muhammad Ghous, Aysha Hanif, Zulfiqar Ali, Abdul Ghaffar

 

  • Phytochemical analysis and anti-oxidant potential of ethanolic extract of Polyalthia longifolia leaves
    • Journal: Pakistan Journal of Science
    • Publication Date: 2023
    • Citations: 1
    • Contributors: M. Ghous, N.A. Dogar