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:

• Scopus
• Orcid

🎓 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