Israa Dheyaa Khalaf Al-Rubaye | Engineering | Best Researcher Award

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Ms. Israa Dheyaa Khalaf Al-Rubaye | Engineering | Best Researcher Award

Ms. Israa Dheyaa Khalaf Al-Rubaye, University of Pisa, Italy

🎓 Ms. Israa Dheyaa Khalaf Al-Rubaye is a PhD candidate in Smart Industry at the University of Pisa, Italy (2022–2024), specializing in Electrical Discharge Machining (EDM) and green energy technologies. She has expertise in innovative electrode design, cryogenic treatment, and biodiesel-based dielectric fluids to optimize machining processes for precision, energy efficiency, and sustainability. With a Master’s in Industrial-Mechanical Engineering from the University of Technology, Baghdad, she collaborates with leading institutions like CNR and NANESA. 🛠️ Her published research focuses on green EDM, advanced materials, and process optimization. Ms. Al-Rubaye is fluent in Arabic and English. 🌍

 

Publication Profile

Orcid

🎓 Education Qualifications

Ms. Israa Dheyaa Khalaf Al-Rubaye is currently a PhD candidate in the Smart Industry program at the University of Pisa, Italy, where she has been specializing in advanced manufacturing and sustainable technologies since 2022. Her doctoral research focuses on Electrical Discharge Machining (EDM) and green energy applications, demonstrating her commitment to innovation and environmental impact reduction. 🌍 Prior to this, she earned her Master’s degree in Industrial-Mechanical Engineering from the University of Technology, Baghdad, Iraq (2012–2016), gaining a strong foundation in mechanical systems and industrial process optimization. 🛠️

 

💼 Work Experience and Profession

Ms. Israa Dheyaa Khalaf Al-Rubaye has extensive experience in both academic and industrial settings. Since January 2022, she has been a Ph.D. candidate in the Smart Industry Department at the University of Pisa, Italy, where she conducts cutting-edge research in Electrical Discharge Machining (EDM) and green energy technologies. 🌱 She has collaborated with CNR and NANESA institutions, contributed to the development of green dielectric fluids, and designed innovative EDM electrodes. Prior to her Ph.D., she worked as a Planning and Follow-up Engineer at the Company for Land Transportation, Iraq, where she supported strategic planning and project coordination. 🚗

 

🔬 Research Focus

Ms. Israa Dheyaa Khalaf Al-Rubaye’s research primarily focuses on Electrical Discharge Machining (EDM), with an emphasis on optimizing die-sinking EDM processes and improving machining performance through innovative electrode designs, such as her work on U-shaped electrodes. Her research also explores green energy technologies, specifically the use of eco-friendly dielectric fluids to reduce environmental impact in industrial processes. 🌱 She investigates cutting-edge materials, including the integration of graphene coatings and biodiesel-based dielectric fluids, to enhance energy efficiency and machining precision. Her work contributes to advancing sustainable manufacturing practices and innovative machining technologies. ⚙️

 

📚 Publications

  • “Effect of manufacturing new U-shaped electrode on die sinking EDM process performance” – Machining Science and Technology, Nov 2024. DOI: 10.1080/10910344.2024.2414263 ⚙️
  • “Toward green electrical discharge machining (EDM): state of art and outlook” – Machining Science and Technology, Jan 2023. DOI: 10.1080/10910344.2023.2194961 🌱

 

 

mehrdad ghamari | Engineering | Best Researcher Award

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Mr. mehrdad ghamari | Engineering | Best Researcher Award

PhD student,  Edinburgh Napier University, Edinburgh, United Kingdom United Kingdom

Profile :

Scopus

Education Background :

Mehrdad Ghamari has a solid educational foundation, culminating in a Ph.D. and impressive degrees in Structural Engineering and Civil Engineering. His academic journey includes prestigious institutions, such as the University of Isfahan and the University of Tehran, where he maintained high GPAs, showcasing his commitment to excellence. His ongoing role as a Visiting Researcher at prominent universities in the UK and Portugal demonstrates his pursuit of advanced knowledge and skills in his field.

Professional Experience :

Ghamari’s extensive work experience, including his role in designing and supervising numerous concrete and steel structures, showcases his practical application of research findings in real-world settings. His professional memberships and certifications reflect a commitment to lifelong learning and adherence to industry standards, enhancing his credibility as a researcher and engineer.

Research Experience & Interests :

Ghamari’s research portfolio reflects significant contributions to civil engineering, particularly in structural analysis and innovative materials. His work on photovoltaic integration for passive cooling and the effects of lateral constraints on historical masonry demonstrates both depth and breadth in addressing contemporary challenges in engineering. Collaborations with esteemed professors and publications in recognized journals further solidify his status as a leading researcher.

Award And Recognition :

Mehrdad Ghamari’s exceptional contributions to the field of civil engineering have earned him significant recognition. He has been honored for his innovative research on sustainable building technologies, receiving accolades from various academic and professional organizations. His publications in high-impact journals demonstrate his commitment to advancing knowledge and practices in structural engineering. Ghamari’s dedication to education and mentorship has also been acknowledged, with awards recognizing his outstanding teaching efforts at multiple universities. These achievements reflect his passion for engineering and his influence on both the academic community and the broader industry.

Conclusion :

In summary, Mehrdad Ghamari’s exceptional educational background, extensive research experience, impactful academic contributions, and robust professional engagement make him a highly suitable candidate for the Research for Best Researcher Award. His commitment to advancing the field of civil engineering through innovative research and teaching positions him as a leader in his domain, deserving of recognition for his achievements and contributions.

Publication Top Notes :

  • Solar Window Innovations: Enhancing Building Performance through Advanced Technologies
    Ghamari, M., Sundaram, S. (2024). Energies, 17(14), 3369. 📄 (0 citations)
  • Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review
    Ghamari, M., See, C.H., Hughes, D., Patchigolla, K., Sundaram, S. (2024). Energy and Buildings, 312, 114164. 📄 (5 citations)
  • Flanges’ Impact on Persian Historical Masonry Walls: Modeling Safety Factors
    Ghamari, M., Karimi, M.S., Lourenço, P.B., Sousa, H.S. (2024). International Journal of Engineering, Transactions B: Applications, 37(6), pp. 1136–1145. 📄 (0 citations)
  • Solar Wall Technology and Its Impact on Building Performance
    Ghamari, M., Sundaram, S. (2024). Energies, 17(5), 1075. 📄 (2 citations)
  • Effects of Lateral Constraints and Geometrical Characteristics on Deformation Capacity of the Persian Historic Unreinforced Masonry Shear Walls under Uncertainty Conditions
    Ghamari, M., Karimi, M.S., AmirShahkarami, A. (2021). International Journal of Engineering, 33(11), pp. 2127-2136. 📄 (0 citations)

Amin Foyouzati | Civil Engineering | Best Researcher Award

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Dr. Amin Foyouzati | Civil Engineering | Best Researcher Award

 Mr. Amin Foyouzati, Sharif University of Technology, Iran

Mr. Amin Foyouzati is a structural engineering researcher at Sharif University of Technology, specializing in seismic analysis and retrofitting of concrete structures. With a strong academic foundation and hands-on experience in seismic hazard studies and structural strengthening techniques, Amin continues to contribute to the advancement of seismic safety measures. His research aims to improve the resilience of structures in earthquake-prone regions, combining innovative design and cost-effective solutions.

Publication profile

Orcid Profile

Educational Background

Mr. Amin Foyouzati obtained his MSc in Structural Engineering from Sharif University of Technology in 2020. His thesis, “Investigation on Seismic Behavior of Concrete Structures with Self Centered, Post-Tensioned Shear Walls System,” was supervised by Distinguished Professor Alireza Khaloo. Prior to this, he earned his BSc in Civil Engineering from Shahid Bahonar University of Kerman in 2018, working on steel and reinforced concrete structures.

Work Experience

Amin has been an active researcher at Sharif University of Technology since 2018. Under the supervision of prominent professors like Prof. Alireza Khaloo, Prof. Fayaz Rahimzadeh Rofooei, and Horno Engineering Group Co., he has conducted significant research projects on the seismic behavior of self-centering hybrid wall systems, the development of artificial neural network models for response prediction, and innovative seismic strengthening techniques for existing concrete structures. His work has focused on both practical and theoretical aspects of structural engineering, with strong contributions to the field of seismic hazard analysis and mitigation strategies.

Research Focus

Amin’s research interests lie in the seismic behavior of concrete structures, with a particular emphasis on self-centering wall systems, seismic hazard assessments, and innovative seismic strengthening techniques for concrete frames. His work spans from developing new analytical methods to utilizing passive dampers in structures to enhancing seismic performance in high-risk seismic zones.

Publication Top Notes

Foyouzati, A., Khaloo, AR. (2024). Comprehensive analytical studies on seismic performance of concrete structures equipped with self-centered hybrid wall system in moderate to high seismic hazard zones. Bulletin of Earthquake Engineering, 22, 3979–4002. https://doi.org/10.1007/s10518-024-01913-0

Foyouzati, A., Khaloo, AR. (2024). Seismic performance assessment and fragility analysis of concrete structures equipped with self-centered hybrid wall systems. Sustainable and Resilient Infrastructure. https://doi.org/10.1080/23789689.2024.2403866

Foyouzati, A., Khaloo, AR. Response prediction of self-centered concrete walls using artificial neural networks. Sustainable and Resilient Infrastructure, In Revision.

Foyouzati, A., Rahimzadeh Rofooei, F. (2023). Seismic hazard assessment studies based on developed deterministic and probabilistic approaches for the central-east of Iran region. World Journal of Engineering, 1-14. https://doi.org/10.1108/WJE-04-2023-0100

Foyouzati, A. (2023). Analytical study on seismic strengthening of reinforced concrete frame equipped with steel damping system with shear mechanism fuse. Asian Journal of Civil Engineering, 25, 1115–1127. https://doi.org/10.1007/s42107-023-00820-0

Foyouzati, A. (2024). Probabilistic seismic hazard assessment studies on the central-east of Iran – Kerman region. Iranian Journal of Science and Technology Transactions of Civil Engineering. https://doi.org/10.1007/s40996-024-01428-3

Conclusion

In summary, Mr. Amin Foyouzati’s academic credentials, extensive research experience, prolific publication record, innovative methodologies, and commitment to community impact position him as an exceptional candidate for the Research for Best Researcher Award. His contributions to the field of civil engineering are not only impressive but also vital for enhancing public safety and advancing engineering practices. Recognizing his work with this award would not only honor his achievements but also inspire further innovation in the field.

 

 

Zhipeng Zhao | Engineering | Best Researcher Award

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Assist Prof Dr. Zhipeng Zhao | Engineering | Best Researcher Award

Assistant Professor, Tongji University, China

Dr. Zhipeng Zhao, currently an Assistant Professor at Tongji University, showcases an impressive academic and research profile, making him a strong candidate for the Research for Best Researcher Award. With a Ph.D. in Civil Engineering and a GPA of 90.30, he has garnered several accolades, including recognition among the World’s Top 2% Scientists in 2024. His research interests focus on artificial intelligence in structural health monitoring and innovative anti-seismic systems, contributing significantly to advancements in civil engineering. He has published numerous peer-reviewed articles, demonstrating a commitment to advancing knowledge in his field. His collaborative work has resulted in impactful research, earning him prestigious fellowships and awards, such as the JSPS Foreign Research Fellow and Shanghai Leading Talents recognition. Dr. Zhao’s combination of research excellence, innovation, and leadership positions him as an exemplary figure in civil engineering, underscoring his suitability for this prestigious award.

Profile:

Education

Dr. Zhipeng Zhao earned his Ph.D. in Civil Engineering from Tongji University, Shanghai, China, in 2021, where he achieved an impressive GPA of 90.30/100. His academic journey began at the same institution, where he completed his Bachelor’s degree in Civil Engineering in 2017, graduating with a remarkable GPA of 93.00/100. During his doctoral studies, Dr. Zhao focused on advanced topics in structural health monitoring and vibration control, demonstrating a commitment to enhancing the resilience of civil engineering structures. His educational background has provided him with a solid foundation in both theoretical and practical aspects of civil engineering, equipping him with the skills necessary to tackle complex engineering challenges. Dr. Zhao’s strong academic performance and rigorous training reflect his dedication to excellence in the field, positioning him as a valuable contributor to research and innovation in civil engineering.

 

Research Skills

Dr. Zhipeng Zhao possesses exceptional research skills that significantly contribute to the advancement of civil engineering, particularly in artificial intelligence-based structural health monitoring and vibration control. His ability to develop innovative anti-seismic structural systems is demonstrated through numerous peer-reviewed publications, reflecting a strong command of both theoretical and practical applications. Dr. Zhao excels in employing cutting-edge methodologies for ground motion simulation, allowing for accurate predictions and enhanced structural safety. His collaborative work as a corresponding author on various high-impact journals showcases his capacity to lead multidisciplinary teams and drive impactful research initiatives. Additionally, his recognition as one of the world’s top 2% scientists and several prestigious awards underscore his commitment to excellence in research. Overall, Dr. Zhao’s research skills are characterized by a blend of creativity, technical proficiency, and a keen understanding of contemporary challenges in civil engineering, making him a leading candidate for the Research for Best Researcher Award.

 

Professional Experiences

Dr. Zhipeng Zhao, currently an Assistant Professor at Tongji University, has cultivated a distinguished career in civil engineering, particularly in structural health monitoring and vibration control. He has served as a JSPS Foreign Research Fellow at Tohoku University, Japan, where he engaged in advanced research from 2022 to 2023. Prior to this, he completed a postdoctoral fellowship at the Hong Kong Polytechnic University and City University of Hong Kong. Dr. Zhao’s academic journey began with a Bachelor’s and a Ph.D. in Civil Engineering from Tongji University, where he excelled in his studies. His remarkable contributions to the field are underscored by multiple honors, including recognition as one of the world’s top 2% scientists in 2024 and the prestigious Shanghai Leading Talents (Overseas) Young Talents award in 2022. With an extensive publication record, Dr. Zhao is a leader in innovative anti-seismic structural systems.

Award And Recognition

Dr. Zhipeng Zhao, an Assistant Professor at Tongji University, has garnered significant accolades for his groundbreaking research in civil engineering, particularly in artificial intelligence-based structural health monitoring and seismic resilience. Recognized among the world’s top 2% of scientists in 2024, he has received prestigious awards, including the Shanghai Leading Talents (Overseas) Young Talents in 2022 and the Tongji University’s top ten scientific achievements with transformative potential in 2023. His work has been frequently cited, earning him the Most Cited Articles recognition in Engineering Structures from 2018 to 2021. Notably, Dr. Zhao was honored with first and second prizes for outstanding papers at the National Structural Engineering Academic Conference in 2018 and 2023, respectively, further solidifying his reputation as a leading researcher in his field. His exceptional contributions demonstrate a commitment to advancing civil engineering and improving infrastructure resilience against natural disasters.

Conclusion

In summary, Dr. Zhipeng Zhao exemplifies excellence in civil engineering, particularly in the fields of artificial intelligence-based structural health monitoring and seismic control systems. His impressive academic background, highlighted by a Ph.D. from Tongji University, is complemented by numerous accolades, including recognition as one of the world’s top 2% scientists in 2024. Dr. Zhao’s innovative contributions, reflected in over 40 peer-reviewed publications, demonstrate his commitment to advancing structural resilience against seismic activities. His research not only addresses critical challenges in civil engineering but also significantly impacts the safety and sustainability of urban infrastructure. As an Assistant Professor at Tongji University and a recipient of multiple prestigious awards, Dr. Zhao’s ongoing research initiatives position him as a leader in the field. His dedication to enhancing structural engineering practices makes him a worthy candidate for the Research for Best Researcher Award.

Publication Top Notes

  • Seismic response mitigation of a wind turbine tower using a tuned parallel inerter mass system
    R. Zhang, Z. Zhao, K. Dai
    Engineering Structures, 180, 29-39, 221 citations, 2019
  • Damping enhancement principle of inerter system
    R. Zhang, Z. Zhao, C. Pan, K. Ikago, S. Xue
    Structural Control and Health Monitoring, 27(5), e2523, 147 citations, 2020
  • Seismic response mitigation of structures with a friction pendulum inerter system
    Z. Zhao, R. Zhang, Y. Jiang, C. Pan
    Engineering Structures, 193, 110-120, 125 citations, 2019
  • A tuned liquid inerter system for vibration control
    Z. Zhao, R. Zhang, Y. Jiang, C. Pan
    International Journal of Mechanical Sciences, 164, 105171, 108 citations, 2019
  • Optimal design based on analytical solution for storage tank with inerter isolation system
    Y. Jiang, Z. Zhao, R. Zhang, D. De Domenico, C. Pan
    Soil Dynamics and Earthquake Engineering, 129, 105924, 91 citations, 2020
  • Optimal design of an inerter isolation system considering the soil condition
    Z. Zhao, Q. Chen, R. Zhang, C. Pan, Y. Jiang
    Engineering Structures, 196, 109324, 76 citations, 2019
  • Energy dissipation mechanism of inerter systems
    Z. Zhao, Q. Chen, R. Zhang, C. Pan, Y. Jiang
    International Journal of Mechanical Sciences, 105845, 74 citations, 2020
  • Influence of mechanical layout of inerter systems on seismic mitigation of storage tanks
    R. Zhang, Z. Zhao, C. Pan
    Soil Dynamics and Earthquake Engineering, 114, 639-649, 70 citations, 2018
  • Impact of soil–structure interaction on structures with inerter system
    Q. Chen, Z. Zhao, R. Zhang, C. Pan
    Journal of Sound and Vibration, 433, 1-15, 65 citations, 2018
  • A particle inerter system for structural seismic response mitigation
    Z. Zhao, R. Zhang, Z. Lu
    Journal of the Franklin Institute, Engineering and Applied Mathematics, 356, 54 citations, 2019
  • Comfort based floor design employing tuned inerter mass system
    Q. Chen, Z. Zhao, Y. Xia, C. Pan, H. Luo, R. Zhang
    Journal of Sound and Vibration, 458, 143-157, 47 citations, 2019
  • Displacement mitigation–oriented design and mechanism for inerter-based isolation system
    Z. Zhao, R. Zhang, N.E. Wierschem, Y. Jiang, C. Pan
    Journal of Vibration and Control, 27(17-18), 1991-2003, 46 citations, 2021
  • Seismic performance upgrading of containment structures using a negative-stiffness amplification system
    Z. Zhao, Y. Wang, X. Hu, D. Weng
    Engineering Structures, 262, 114394, 42 citations, 2022
  • A negative stiffness inerter system (NSIS) for earthquake protection purposes
    Z. Zhao, Q. Chen, R. Zhang, Y. Jiang, C. Pan
    Smart Structures and Systems, 26(4), 481-493, 33 citations, 2020
  • Enhanced energy dissipation benefit of negative stiffness amplifying dampers
    Z. Zhao, Q. Chen, X. Hu, R. Zhang
    International Journal of Mechanical Sciences, 240, 107934, 32 citations, 2023
  • Input energy reduction principle of structures with generic tuned mass damper inerter
    Z. Zhao, R. Zhang, C. Pan, Q. Chen, Y. Jiang
    Structural Control and Health Monitoring, 28(1), e2644, 31 citations, 2021
  • Interaction of two adjacent structures coupled by inerter-based system considering soil conditions
    Z. Zhao, Q. Chen, R. Zhang, Y. Jiang, Y. Xia
    Journal of Earthquake Engineering, 26(6), 2867-2887, 28 citations, 2022
  • Seismic demand and capacity models, and fragility estimates for underground structures considering spatially varying soil properties
    Z. He, H. Xu, P. Gardoni, Y. Zhou, Y. Wang, Z. Zhao
    Tunnelling and Underground Space Technology, 119, 104231, 27 citations, 2022
  • Analytical optimization of the tuned viscous mass damper under impulsive excitations
    Z. Zhao, X. Hu, R. Zhang, Q. Chen
    International Journal of Mechanical Sciences, 228, 107472, 25 citations, 2022
  • Friction pendulum-strengthened tuned liquid damper (FPTLD) for earthquake resilience of isolated structures
    Z. Zhao, X. Hu, Q. Chen, Y. Wang, N. Hong, R. Zhang
    International Journal of Mechanical Sciences, 244, 108084, citations not specified.