Marek Salamak | Civil Engineering | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Marek Salamak

Silesian University of Technology

                Marek Salamak
Affiliation Silesian University of Technology
Country Poland
Scopus ID 25028351300
Documents 47
Citations 609
h-index 14
Subject Area Civil Engineering
Event International Popular Scientist Awards
ORCID 0000-0003-3602-0575

Marek Salamak is affiliated with Silesian University of Technology, Poland, and is recognized for scholarly contributions to civil engineering, particularly in structural engineering, bridge engineering, transportation infrastructure, and advanced engineering design. His academic profile demonstrates sustained research productivity supported by peer-reviewed publications, international collaborations, and measurable citation impact.[1]

Abstract

The Best Researcher Award recognizes sustained scholarly excellence, research productivity, and measurable academic influence. Marek Salamak’s research profile reflects active engagement in civil engineering through publications, engineering innovation, and scientific collaboration. His citation record, publication output, and continuing contribution to infrastructure engineering provide evidence of consistent academic performance and research visibility.[1][2]

Keywords

Civil Engineering, Structural Engineering, Bridge Engineering, Transportation Infrastructure, Construction Engineering, Infrastructure Design, Research Excellence, Engineering Innovation, Scientific Publications, International Collaboration.

Introduction

Modern civil engineering increasingly relies on interdisciplinary research integrating structural safety, sustainable construction, digital engineering technologies, and transportation infrastructure management. Researchers contributing to these areas play an important role in improving engineering standards, supporting resilient infrastructure, and promoting evidence-based design practices. Marek Salamak has participated in this evolving research landscape through scholarly publications and engineering investigations addressing practical and theoretical challenges.[1]

Research Profile

According to indexed scholarly databases, Marek Salamak has authored 47 Scopus-indexed publications with 609 citations and an h-index of 14. His academic work primarily focuses on civil engineering, including bridge structures, transportation systems, engineering analysis, structural assessment, and infrastructure modernization. His research demonstrates continued participation in internationally indexed scientific literature.[1]

Research Contributions

His research focuses on bridge engineering, structural assessment, and engineering optimization to enhance transportation infrastructure. Through collaborative civil engineering research and peer-reviewed publications, he has contributed to advancing structural analysis methodologies and practical engineering solutions.

Publications

Representative publications include research on bridge engineering, digital construction technologies, structural monitoring, and transportation infrastructure. His scholarly work has appeared in internationally indexed engineering journals and conference proceedings. Example DOI reference.[2]

Research Impact

The available bibliometric indicators demonstrate consistent scholarly influence through peer-reviewed publications and citations. An h-index of 14 indicates sustained academic engagement, while over six hundred citations reflect recognition of his work within the civil engineering research community. These indicators complement his contribution to engineering education and infrastructure research.[1]

Award Suitability

Based on publicly available academic indicators, Marek Salamak demonstrates characteristics commonly associated with recognition through research awards, including sustained publication activity, measurable citation impact, active participation in civil engineering research, and continued contributions to infrastructure-related scholarship. These achievements align with the objectives of the International Popular Scientist Awards in recognizing excellence in scientific research and academic advancement.[1]

Conclusion

Marek Salamak has established a documented academic record within civil engineering through peer-reviewed publications, international visibility, and scholarly citations. His continued research contributions, bibliometric performance, and commitment to engineering innovation support his profile as a researcher whose work contributes to the advancement of infrastructure engineering and scientific knowledge.[1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Marek Salamak, Author ID 25028351300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=25028351300
  2. Crossref. (n.d.). Engineering publications and DOI metadata.
    https://doi.org/10.1016/j.engstruct.2020.110694
  3. ORCID. (n.d.). ORCID Record: Marek Salamak.
    https://orcid.org/0000-0003-3602-0575
  4. International Popular Scientist Awards. (n.d.). Award Information.
    https://popularscientist.com/
  5. Fawad, M., Salamak, M., Hanif, M. U., Koris, K., Ahsan, M., Rahman, H., Gerges, M., & Salah, M. M. (2024). Integration of bridge health monitoring system with augmented reality application developed using 3D game engine–Case study.

Bittu Ghosh | Civil Engineering | Research Excellence Award

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Dr. Bittu Ghosh | Civil Engineering | Research Excellence Award

Research Scholar | Nit Durgapur | India

Dr. Bittu Ghosh is a civil engineering researcher specializing in construction engineering and management with a strong focus on infrastructure digitalisation. His research centers on Building Information Modeling applications for claims, quality, safety, productivity enhancement, and dispute management in transportation and infrastructure projects. He has contributed extensively through peer-reviewed journal articles, patents, book chapters, and conference papers addressing BIM frameworks, artificial intelligence applications, document management systems, and sustainable construction practices. Professionally, he has experience in infrastructure project execution and management roles, combining academic research insights with practical construction industry implementation and technology-driven decision support.

Citation Metrics (Google Scholar)

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Citations
76

i10-index
4

h-index
6

🟦 Citations   🟥 i10-index   🟩 h-index


View Google Scholar Profile

Featured Publications

3D Printing Technology and Future of Construction: A Review

– International Conference on Creative and Innovative Solutions in Civil Engineering

Digitalized Document Management System for Construction Claims and Disputes Using BIM

– Journal of Legal Affairs and Dispute Resolution in Engineering

Deme Hirko | Civil | Best Researcher Award

Published on by International Popular Scientist Awards

Mr. Deme Hirko | Civil | Best Researcher Award

Lecturer | Stellenbosch University | South Africa

Mr. Deme Hirko is a Water Resources Engineer, Climate Researcher, and Lecturer with extensive experience in teaching, research, and project coordination in the fields of hydrology, irrigation, and water systems management. His work focuses on sustainable water resource strategies, integrating advanced hydrological models with machine learning to optimize water allocation and assess the impacts of climate change. As a PhD researcher at Stellenbosch University, he develops Python-based analytical tools and applies data-driven methods to enhance climate impact assessments and water management efficiency. He has taught and supervised numerous students in hydraulic engineering and water resource modelling, combining academic rigor with practical insights from his earlier experience in infrastructure project management. His research explores the intersection of climate science, data analytics, and high-performance computing, aiming to improve resilience in water-scarce regions. He has published several peer-reviewed papers on topics such as machine learning applications in hydrology, water allocation modelling, and irrigation performance evaluation. In addition to his academic work, he actively participates in international conferences and specialized training programs related to climate modelling, Earth observation, and water resource assessment. Committed to interdisciplinary collaboration, he strives to advance research that supports equitable and data-informed water management policies, particularly within the context of climate variability in Africa.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Hirko, D. B., Du Plessis, J. A., & Bosman, A. (2025). Using machine learning and satellite data to analyse climate change in the Upper Awash Sub-basin, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C.

Hirko, D. B., Du Plessis, J. A., & Bosman, A. (2025). Review of machine learning and WEAP models for water allocation under climate change. Earth Science Informatics.

Hirko, D. B., Gebul, M. A., Du Plessis, J. A., & Emama, W. O. (2023). Assessment of irrigation water allocation, Koftu, Ethiopia. Water Practice & Technology, 18(6).

Hirko, D. B., & Du Plessis, J. A. (2023, April 16). Assessing the effectiveness of Koftu’s small-scale irrigation schemes in enhancing water resource utilization in Ethiopia [Preprint]. ESSOAr.

Hirko, D. B. (2022, July 27). Irrigation land suitability assessment of Sibilu River catchment using geographic information system. Irrigation & Drainage Systems Engineering.

Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

Published on by International Popular Scientist Awards

Dr. Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

Ph.D at Karadeniz Technical University, Turkey

Dr. Mohammad Azim Eirgash is a Ph.D. researcher in Construction Management at Karadeniz Technical University (Türkiye), with dual citizenship in Afghanistan and Türkiye. He holds a Ph.D. and MSc from KTÜ and a B.Tech in Civil Engineering from the National Institute of Technology Warangal (India). His research focuses on multi-objective optimization, artificial intelligence in construction project scheduling, and time-cost-quality-CO₂ trade-off problems.

Profile:

🎓 Academic Background:

  • Ph.D. in Construction Management – Karadeniz Technical University, Türkiye (2019–2024)

  • M.Sc. in Construction Management – KTÜ, Türkiye (2015–2018)

  • B.Tech. in Civil Engineering – NIT Warangal, India (2010–2014)

  • Scholarships: ICCR (India) 🇮🇳 and Türkiye Bursları 🇹🇷

🧠 Research Focus & Skills:

  • Specializations:

    • Multi-objective Optimization

    • AI & Machine Learning in Project Scheduling

    • Time-Cost-Quality-CO₂ Trade-off Models

    • Metaheuristic Algorithms (e.g., TLBO, Jaya, Rao)

  • Software Tools: Primavera P-7, MATLAB, Python 🐍

📈 Scientific Achievements:

  • h-index: 9

  • Total Citations: 317

    • Scopus: 184

    • Web of Science: 105

  • Publications:

    • 20+ peer-reviewed articles in Q1/Q2 journals

    • 5+ national/international conferences

    • Springer Book Chapter Contributor

🏆 Awards & Recognition:

  • 🥇 Young Scientist Award – International Young Scientist Awards 2022

  • ✍️ Reviewer for top journals:

    • Automation in Construction, Scientific Reports, Applied Soft Computing

🏗️ Professional Roles:

  • Karadeniz Technical University – Researcher

  • Baybars YAPI, Türkiye – Construction Consultant

  • Lord Tech Datus, India – Research Consultant

  • TEOREM LTD, Türkiye – Educator & Engineer

🌍 Global Research Impact:

Dr. Eirgash is a rising expert in integrating artificial intelligence with construction management. His international background and collaborations across India, Türkiye, and Europe highlight his global mindset and practical contributions to smart infrastructure and sustainable project planning.

Publication Top Notes:

  1. Time–cost trade-off optimization in generalized construction projects using an opposition learning-augmented multi-objective Jaya algorithm
    Asian Journal of Civil Engineering, 2025-06-23
    DOI: 10.1007/s42107-025-01401-z

  2. Optimization of time–cost–quality–CO₂ emission trade-off problems via super oppositional TLBO algorithm
    Asian Journal of Civil Engineering, 2025-04
    DOI: 10.1007/s42107-025-01282-2

  3. Influence of jumping rate on opposition-based Jaya algorithm for discrete time–cost trade-off optimization problems
    Uludağ University Journal of The Faculty of Engineering, 2025-04-11
    DOI: 10.17482/uumfd.1561366

  4. Optimizing time–cost in construction projects using modified quasi-opposition learning-based multi-objective Jaya optimizer and multi-criteria decision-making methods
    Asian Journal of Civil Engineering, 2025-03
    DOI: 10.1007/s42107-024-01235-1

  5. A dual opposition learning-based multi-objective Aquila Optimizer for trading-off time–cost–quality–CO₂ emissions of generalized construction projects
    Engineering Computations, 2024-10-10
    DOI: 10.1108/EC-01-2024-0043

  6. A novel oppositional teaching learning strategy based on the golden ratio to solve the time–cost–environmental impact trade-off optimization problems
    Expert Systems with Applications, 2023
    DOI: 10.1016/j.eswa.2023.119995

  7. Modified dynamic opposite learning assisted TLBO for solving time–cost optimization in generalized construction projects
    Structures, 2023
    DOI: 10.1016/j.istruc.2023.04.091

  8. A multi-objective decision-making model based on TLBO for the time–cost trade-off problems
    Structural Engineering and Mechanics, 2019
    DOI: 10.12989/sem.2019.71.2.139

  9. Time–cost trade-off optimization of construction projects using teaching learning-based optimization
    KSCE Journal of Civil Engineering, 2019
    DOI: 10.1007/s12205-018-1670-6

  10. Time–cost trade-off optimization with a new initial population approach
    Teknik Dergi (Technical Journal of Turkish Chamber of Civil Engineers), 2019
    DOI: 10.18400/TEKDERG.410934

 

ABDUL SAMI | Engineering | Young Scientist Award

Published on by International Popular Scientist Awards

Mr. ABDUL SAMI | Engineering | Young Scientist Award

Lecturer Numl University Hyderabad Pakistan

Engr. Abdul Sami Shaikh is a seasoned software engineering professional with a diverse portfolio in academia, research, and freelancing. His career is marked by significant contributions to IT education, cutting-edge research, and innovative development practices. Based in Hyderabad, Sindh, Abdul Sami is driven by a passion for leveraging technology to address real-world challenges and enhance learning.

Profile

Orcid

Education 🎓

Abdul Sami Shaikh has a strong academic foundation with a Master of Engineering in Information and Communication Engineering from Harbin Engineering University, China (2013-2016), achieving an impressive 3.77 CGPA. His undergraduate degree in Computer System Engineering from Mehran University of Engineering and Technology, Jamshoro (2005-2009), laid the groundwork for his technical expertise. Earlier, he pursued Pre-Engineering at Govt. Boys Degree College, Qasimabad, Hyderabad, and completed his schooling at the Model School of Sindh University.

Experience 💼

Abdul Sami has an extensive teaching and research background, having served as a lecturer at Isra University, National University of Modern Languages (NUML), and other prestigious institutions. His professional journey includes roles such as Research Associate at Mehran UET, Program Coordinator for the National Freelance Training Program, and editorial assistant for the Mehran UET Research Journal. He also gained valuable industrial experience through internships with organizations like Sui Southern Gas Company and Microsoft.

Research Interests 🔬

His research focuses on machine learning, data visualization, deep learning, and their applications in healthcare and cybersecurity. He has explored innovative solutions in image analysis, mobile app automation for Industry 4.0, and advanced threat detection systems. Abdul Sami also delves into challenges in spatial crowdsourcing and IoT-based systems.

Awards and Recognitions 🏆

While Abdul Sami has not listed specific awards, his academic and professional milestones, coupled with his impactful publications, position him as a strong candidate for recognition in research and innovation.

Publications Top Notes: 📚

Acoustic Propagation and Transmission Loss Analysis in Shallow Water

Automated Classification of Pneumonia from Chest X-Ray Images using EfficientNet-B0