Nazanin Irani | Civil Engineering | Best Researcher Award

Dr. Nazanin Irani | Civil Engineering | Best Researcher Award

Postdoctoral Researcher at  Ruhr University Bochum | Germany

Dr. Nazanin Irani is a postdoctoral researcher at the Chair of Soil Mechanics, Foundation Engineering, and Environmental Geotechnics at Ruhr-University Bochum (RUB), Germany. She holds a Ph.D. in Geotechnical Engineering from Shiraz University of Technology (2023), along with M.Sc. and B.Sc. degrees in Civil and Geotechnical Engineering from Iranian institutions.

Profile:

Educational Background:

Dr. Irani earned her Ph.D. in Geotechnical Engineering from Shiraz University of Technology (2018–2023), preceded by an M.Sc. in Geotechnical Engineering (2015–2017) and a B.Sc. in Civil Engineering (2010–2014) from institutions in Iran. She graduated with top honors and received distinctions throughout her academic career.

Professional Experience:

Dr. Irani has held multiple roles in both academia and industry. She has served as a Scientific Associate and Postdoctoral Researcher at RUB since 2023. Her earlier experience includes research at Shiraz University of Technology and visiting research at RUB’s Chair of Continuum Mechanics. Additionally, she has worked in civil structural design and construction management in Iran.

Research and Teaching Engagement:

Her research focuses on constitutive modeling of soils, finite element simulations, soil improvement using AI, and geothermal energy enhancement. She lectures on specialized topics including Soil Dynamics, Geotechnical Structures, and Earthquake Engineering at RUB. Dr. Irani has supervised multiple Ph.D. and Master’s theses in advanced soil mechanics and AI applications.

Honors and Awards:

Dr. Irani has received multiple prestigious grants and scholarships, including two €1 million research grants from the German Federal Ministry of Education and Research (BMBF) and the Emmy Noether Programme.

Publications and Contributions:

Dr. Irani has authored 13 peer-reviewed publications, including articles in Acta Geotechnica, Computers and Geotechnics, and the Journal of Geotechnical and Geoenvironmental Engineering. Her work bridges experimental, numerical, and AI-driven approaches to solving complex geotechnical problems.

Research Interests:

Her main areas of interest include:

  • Thermodynamically consistent constitutive modeling

  • Particle breakage in soils

  • Micro-to-macro soil behavior analysis

  • AI and machine learning in geotechnics

  • Environmentally sustainable soil improvement techniques

Citation Metrics for Dr. Nazanin Irani:

  • Total Citations: 113

  • Citations Since 2020: 113

  • h-index: 6

  • i10-index: 4

Publication Top Notes:

A state-dependent hyperelastic-plastic constitutive model considering shear-induced particle breakage in granular soils

2022
Citations: 35

Effect of scrap tyre on strength properties of untreated and lime-treated clayey sand
2021
Citations: 18

Effects of over-consolidation history on flow instability of clean and silty sands
2022
Citations: 17

Micro-mechanical response of transversely isotropic samples under cyclic loading
2023
Citations: 10*

Effects of the inclusion of industrial and agricultural wastes on the compaction and compression properties of untreated and lime-treated clayey sand
2020
Citations: 9

Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

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