Yunwen Xu | Engineering | Best Researcher Award

Dr. Yunwen Xu l Engineering
| Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Yunwen Xu’s research focuses on advancing intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her innovative work integrates graph-based spatial-temporal modeling, data-driven control algorithms, and real-time optimization to enhance vehicle trajectory prediction, traffic signal management, and collaborative control in large-scale dynamic environments. Through over 50 high-impact publications, including 15 in top-tier journals and several ESI highly cited papers, Dr. Xu has significantly contributed to the theoretical and practical foundations of predictive control and intelligent mobility. Her research achievements include developing FPGA-based predictive controllers, robust model predictive frameworks, and reinforcement learning-based control systems for V2X-enabled autonomous vehicles. By leading national and provincial research projects and collaborating internationally with institutions like Purdue University and industrial partners such as Shanghai Electric Wind Power Group, she bridges the gap between academic innovation and industrial application. Her patents and successful technology transfers in microgrid energy management and advanced temperature control demonstrate the translational strength of her research. Recognized with prestigious honors, including the Best Paper Award at the Chinese Process Control Conference and championship at the Autonomous Driving Algorithm Challenge, Dr. Xu continues to pioneer next-generation control and automation technologies that drive the evolution of intelligent, efficient, and sustainable transportation ecosystems.

Profile:  Google Scholar 

Featured Publications

Haneen Alamirah | Engineering | Best Researcher Award

Ms. Haneen Alamirah l Engineering
| Best Researcher Award

United Arab Emirates University | United Arab Emirates

Ms. Haneen Alamirah is an accomplished Architectural Engineer and researcher from the United Arab Emirates, specializing in occupant comfort in the built environment and sustainable building design. She holds a Bachelor’s degree in Architectural Engineering from the UAE University, a Master’s degree in Sustainable Critical Infrastructure from Khalifa University, and is currently pursuing her Ph.D. in Architectural Engineering at the UAE University . Her professional experience includes serving as a Graduate Teaching and Research Assistant at both Khalifa University and UAE University, where she has been involved in teaching, mentoring, and conducting advanced research in sustainability and human–environment interaction. Ms. Alamirah’s research contributions focus on the integration of immersive virtual environments for evaluating occupant comfort, adaptive behavior, and personal comfort models in shared spaces. Her scholarly work has been featured in high-impact journals such as Building and Environment and presented at international conferences including the Building Simulation Conference (2023, Shanghai; 2025, Brisbane) and the UAE Graduate Students Research Conference. With 68 citations and an h-index of 1 (Scopus ID: 57288505500), she continues to advance knowledge at the intersection of architecture, sustainability, and digital simulation tools, contributing to more resilient and human-centered design practices.

Profile: Scopus 

Featured Publication 

Alamirah, H. (2023, September). A bibliometric analysis of immersive virtual environment applications for occupant comfort and behavior research. In Proceedings of the Building Simulation Conference 2023 (p. 1397). Shanghai, China. https://doi.org/10.26868/25222708.2023.1397

Ezekiel Olatunji | Built Environment | Best Researcher Award

Mr. Ezekiel Olatunji | Built Environment
| Best Researcher Award

University of Wolverhampton | United Kingdom

Mr. Ezekiel Olatunji Doctoral Researcher at the University of Wolverhampton, Mr. Ezekiel Olatunji focuses on developing innovative frameworks for assessing and enhancing flood resilience within socially diverse communities. His research explores the intersection of community engagement, infrastructure planning, and risk management, with the goal of improving adaptive capacity and awareness in flood-prone regions. By integrating qualitative and quantitative research methodologies, including structured interviews, surveys, and participatory workshops, he investigates how social, economic, and cultural factors influence community preparedness and recovery. His work also incorporates the use of analytical tools such as SPSS and NVIVO to interpret complex data and extract meaningful insights that inform policy and practice. The outcomes of his research aim to guide local authorities, urban planners, and policymakers in designing more inclusive and resilient flood management strategies. Through his doctoral work, Mr. Olatunji contributes to the growing body of knowledge on disaster risk reduction and environmental resilience, aligning his efforts with the United Nations Sustainable Development Goals (SDGs), particularly those related to sustainable cities and climate action. His research underscores the importance of a community-centered approach to resilience, combining academic rigor with practical solutions for sustainable development.

Profile: Google Scholar | Orcid

Featured Publications

Olatunji, E. O., Adebimpe, O. A., & Oladokun, V. O. (2023). A fuzzy logic approach for measuring flood resilience at community level in Nigeria. International Journal of Disaster Resilience in the Built Environment, 14(4), [Article details pending].

Olatunji, E., Proverbs, D., Pathirage, C., Suresh, S., Cooper, J., & Capewell, L. (2024). A community-scale framework for evaluating flood resilience across socially diverse communities. Leeds Beckett University.

Olatunji, E., Proverbs, D., Pathirage, C., Suresh, S., & Ekundayo, O. (2025). Towards a participatory assessment of community flood resilience. Purdue University.

Olatunji, E., Ekundayo, O., Proverbs, D., Pathirage, C., Suresh, S., Emonson, P., & others. (2025). The role of stakeholder partnerships in building flood resilient communities: Case study of the FAIR project in the UK. Taylor & Francis.

Hamed Rahman Shokrgozar | Structural Engineering | Best Researcher Award

Prof. Hamed Rahman Shokrgozar | Structural Engineering | Best Researcher Award

Author, University of Mohaghegh Ardabili

Hamed Rahman Shokrgozar, born on September 5, 1982, in Ardabil, Iran, is a distinguished structural engineer specializing in seismic performance evaluation and offshore platform design. With over eight years of professional experience, he has contributed to major engineering projects, including hospital foundations, oil refineries, water intake structures, and offshore platforms. His expertise spans nonlinear 3D modeling, soil-pile-structure interaction, and earthquake-resistant building design. As a researcher, he has published extensively in top-tier journals and international conferences. He has also imparted knowledge as a university lecturer, guiding students in structural analysis and dynamic behavior. His dedication to engineering excellence is evident through his extensive project contributions and academic pursuits.

Profile

Scholar

Orcid

🎓 Education

Ph.D. in Structural Engineering (2006-2012) – K.N. Toosi University of Technology (GPA: 17.88)  M.Sc. in Structural Engineering (2004-2006) – K.N. Toosi University of Technology (GPA: 17.77)  B.Sc. in Civil Engineering (2000-2004) – Mohaghegh Ardabili University (GPA: 17.57)  His academic journey focused on seismic performance analysis, nonlinear modeling, and structural resilience. His Ph.D. research explored soil-pile-structure interaction in offshore platforms, while his M.Sc. work analyzed earthquake-resistant buildings. Throughout his studies, he demonstrated academic excellence, laying a solid foundation for his professional and research career in structural engineering.

💼 Experience 

Structure Discipline Expert with 8+ years of experience in civil and structural engineering  Design of Building Foundations: Hospitals, residential, and commercial buildings, including 160-bed hospital foundations in Bousher  Offshore & Oil Projects: Structural analysis and design of oil platforms, refineries, and marine terminals, including “Khesht Oil Refinery” and “Arvndknar Multi-Purpose Port”  Infrastructure Projects: Design of bridges, water intake structures, and pumping stations  Advanced Structural Modeling: Nonlinear 3D simulations of offshore platforms and earthquake-resistant structures using ABAQUS  Teaching Experience: Lecturer at multiple universities, specializing in structural dynamics, concrete design, and mechanics of materials

🏅 Awards & Honors 

Recognized Structural Engineering Researcher in seismic performance and offshore platform design  Multiple Journal & Conference Publications in high-impact civil engineering platforms  Contributor to International Engineering Projects involving seismic risk mitigation and offshore infrastructure development  Excellence in Nonlinear Structural Analysis for earthquake-resistant buildings and marine structures  Esteemed Lecturer at renowned universities, shaping the future of civil engineers

🔬 Research Focus 

Seismic Performance Evaluation: Studying earthquake-resistant structures and assessing steel jacket platforms’ response Nonlinear Finite Element Analysis: Applying ABAQUS to evaluate offshore platform stability and deformation behavior  Soil-Pile-Structure Interaction (SPSI): Investigating dynamic response characteristics for offshore and onshore foundations  Buckling-Restrained Braced Frames (BRBFs): Enhancing seismic resilience in structural engineering projects  Structural Optimization: Designing efficient and sustainable infrastructure, including bridges, buildings, and marine terminals

Conclusion

Dr. Hamed Rahman Shokrgozar exhibits a commendable blend of academic knowledge and practical experience in structural engineering. His research contributions, particularly in seismic performance and structural dynamics, position him as a strong candidate for the “Best Researcher Award.” Addressing areas such as international collaboration and funding acquisition could further bolster his candidacy.

Publication

  • Asgarian, B., & Shokrgozar, H. R. (2009). BRBF response modification factor. Journal of Constructional Steel Research, 65(2), 290-298. Citations: 211

 

  • Asgarian, B., Aghaeidoost, V., & Shokrgozar, H. R. (2016). Damage detection of jacket type offshore platforms using rate of signal energy using wavelet packet transform. Marine Structures, 45, 1-21. Citations: 115

 

  • Asgarian, B., Shokrgozar, H. R., Shahcheraghi, D., & Ghasemzadeh, H. (2012). Effect of soil pile structure interaction on dynamic characteristics of jacket type offshore platforms. Coupled Systems Mechanics, 1(4), 381-395. Citations: 21

 

  • Khosravan, A., Asgarian, B., & Shokrgozar, H. R. (2021). Improved Modal Strain Energy Decomposition Method for damage detection of offshore platforms using data of sensors above the water level. Ocean Engineering, 219, 108337. Citations: 19

 

  • Asgarian, B., & Shokrgozar, H. R. (2013). A new bracing system for improvement of seismic performance of steel jacket type offshore platforms with float-over-deck. Petroleum Science, 10, 373-384. Citations: 14

 

  • Asgarian, B., Shokrgozar, H. R., & Abitorabi, M. (2008). Effect of design loads in buckling restrained braced frames performance. The 14th World Conference on Earthquake Engineering, October 12-17. Citations: 12

 

  • Aghaeidoost, V., Afshar, S., Tajaddod, N. Z., Asgarian, B., & Shokrgozar, H. R. (2023). Damage detection in jacket-type offshore platforms via generalized flexibility matrix and optimal genetic algorithm (GFM-OGA). Ocean Engineering, 281, 114841. Citations: 9

 

  • Shokrgozar, H., Asgarian, B., & Aghaeidoost, V. (2021). Experimental investigation of decomposition of signal energy for damage detection of jacket type offshore platforms. Ships and Offshore Structures. Citations: 9

 

  • Shokrgozar, H. R. (2018). Comparison of Seismic Reliability and Risk Assessment for Special and Intermediate Steel Moment Frames. KSCE Journal of Civil Engineering. Citations: 9

 

  • Asgarian, B., & Salehi Golesefidi, E. (2016). Probabilistic seismic evaluation of buckling restrained braced frames using DCFD and PSDA methods. Earthquakes and Structures, 10(1), 105-123. Citations: 8

 

  • Shokrgozar, H. R., Akrami, V., Ma’af, T. J., & Shahbazi, N. (2021). The effect of different retrofitting techniques on the axial load carrying capacity of damaged cylindrical shells. Structures, 31, 590-601. Citations: 6

 

  • Shokrgozar, H. R., Naeim, K., & Kalasar, H. I. (2017). Comparison of the Efficiency of Tuned Mass and Tuned Liquid Dampers at High-Rise Structures under Near and Far Fault Earthquakes. Journal of Structural and Construction Engineering, 3(4), 105-119. Citations: 5