Amal Hentati | Marine Engineering | Best Researcher Award

Mrs. Amal Hentati | Marine Engineering | Best Researcher Award

Assistant professor | ENIG | Tunisia

Strengths for the Award

Amal Hentati is a well-established researcher in the field of Civil Engineering, particularly in areas such as spatial variability, carbon footprint analysis, Building Information Modeling (BIM), and life cycle analysis (LCA). She has a strong academic background, having obtained a PhD in Civil Engineering from ENIT, and she has been actively involved in academia as a Maître Assistante at the École Nationale d’Ingénieurs de Gabès since September 2020.

Her research contributions are significant, with publications in reputable journals such as Computers and Geotechnics and Georisk. Her work on probabilistic methods, offshore foundations, and the integration of BIM with sustainability practices showcases her ability to tackle complex, interdisciplinary problems. Moreover, her recent certifications in LCA and REVIT further demonstrate her commitment to continuous professional development.

📜 Short Bio

Amal Hentati, born on March 9, 1989, in Sfax, Tunisia, is a highly skilled civil engineer and academic. She currently serves as a Maître Assistante in Civil Engineering at the École Nationale d’Ingénieurs de Gabès, Université de Gabès, since September 2020. With a strong background in teaching and research, she is dedicated to advancing the field of civil engineering through her work on spatial variability, carbon balance, and life cycle analysis.

Profile

Scopus

🎓 Education

Amal Hentati holds a PhD in Civil Engineering from ENIT, awarded in 2019. She also earned a Master’s degree in Research from ENIT in 2013 and a Diploma in Civil Engineering from ENIT in 2012. Her academic journey has equipped her with a deep understanding of civil engineering concepts and practices.

💼 Experience

Amal Hentati has a diverse teaching background, having worked as a vacataire teacher at the Institut Supérieur des Études Technologiques de Sfax (ISET Sfax) and the École Nationale d’Ingénieurs de Gabès (ENIG). She has also served as a contractual teacher at ENIG. Her professional experience spans over several years, during which she has contributed significantly to the academic and professional development of her students.

🔬 Research Interest

Her research interests include spatial variability, carbon balance, Building Information Modeling (BIM), and life cycle analysis. Amal’s work focuses on advancing methodologies in geotechnics, foundations, and probabilistic approaches, contributing to a more sustainable and efficient civil engineering industry.

🏆 Awards

Amal Hentati has been recognized for her contributions to the field of civil engineering, although specific awards were not mentioned in the provided information. Her dedication to teaching and research has earned her a respected place in academia.

📚 Publications

Hentati, A., Selmi, M., Kormi, T., Bel Hadj Ali, N. (2018), Probabilistic HM failure envelopes of strip foundations on spatially variable soil, Computers and Geotechnics, 102:66–78.

Published Article
Prompt: This publication presents a probabilistic approach to analyzing failure envelopes of strip foundations in variable soil conditions. Cited by 21 articles.

Hentati, A., Selmi, M., Kormi, T., Ali, N.B.H. (2018), Random finite element method for bearing capacity assessment of a shallow foundation under varied uniaxial loadings, International Journal of Reliability and Safety, 12(3):237–260.

Published Article
Prompt: This study explores a random finite element method for assessing the bearing capacity of shallow foundations. Cited by 0 articles.

Selmi, M., Kormi, T., Hentati, A., Bel Hadj Ali, N. (2019), Capacity assessment of offshore skirted foundations under HM combined loading using RFEM, Computers and Geotechnics, 114:103148.

Published Article
Prompt: This research evaluates the capacity of offshore skirted foundations under combined loading using RFEM. Cited by 27 articles.

Kormi, T., Hentati, A., Selmi, M., Ali, N.B.H. (2020), Reliability-based assessment of foundations under HM combined loading using Random Finite Element Method, Georisk. Assessment and Management of Risk for Engineered Systems and Geohazards, 14(4):293-307.

Published Article
Prompt: This paper discusses reliability-based assessments of foundations under combined loading using a probabilistic approach. Cited by 6 articles.

Guefrech, K., Hentati, A., Baroth, J., Fauqueux, F. (2022), Analyse de cycle de vie (ACV) d’un ouvrage modélisé par une maquette numérique BIM: analyse comparative analytique et développement d’un couplage ACV-BIM, Béton et Economie Circulaire BECC’22.
Prompt: The article presents a life cycle analysis of a BIM-modeled structure, offering a comparative analytical study.

Ben Ayed, M., Hentati, A. (2023), Towards a resumption of sustainable building culture: BIM and BEM for better design decision, IACCM Conference 2023 | DISAQ – Università Parthenope.
Prompt: This paper focuses on sustainable building practices through the integration of BIM and BEM for better design decisions.

Amal Hentati, Mbarka Selmi, Tarek Kormi (2024), Undrained HM bearing capacity of hybrid foundations in spatially variable soils, Computers and Geotechnics, Volume 173.

Conclusion

Amal Hentati is a strong candidate for the “Best Researcher Award” due to her solid research background, expertise in civil engineering, and commitment to advancing sustainable practices in the field. With a focus on further increasing her research impact and exploring emerging areas, she has the potential to achieve even greater recognition in her field. Her contributions to both academia and industry make her a deserving candidate for the award.

Lingyu Sun | Marine Robot Technology | Best Researcher Award

Prof. Lingyu Sun | Marine Robot Technology | Best Researcher Award

Professor | Hebei university of technology | China

Professor Lingyu Sun is a distinguished academic and a doctoral supervisor at Hebei University of Technology. As a Yuanguang scholar and head of the robot control research direction within multiple innovation teams, Prof. Sun has significantly contributed to the field of special robot perception and intelligent control technology. His expertise and dedication have established him as a leading figure in the development of advanced robotic systems.

Profile

Scopus

Education 🎓

Prof. Lingyu Sun has pursued an extensive academic journey, culminating in his current role as a professor and doctoral supervisor. His educational background has been instrumental in shaping his research and teaching methodologies, enabling him to contribute effectively to the academic and scientific communities.

Experience 🏢

Prof. Sun has a robust professional background, having been engaged in research related to special robot perception and intelligent control technology for many years. He is a member of the academic committee of the academy and leads the robot control research direction for various innovation teams under the Ministry of Education, Ministry of Science and Technology, and Tianjin.

Research Interest 🔬

Prof. Sun’s research interests are centered around robot embedded perception and control technology, non-structured environment vision technology, and special robots. His work aims to enhance the adaptability and efficiency of robotic systems in diverse environments.

Awards 🏆

Prof. Lingyu Sun has been recognized for his outstanding contributions to robotics and intelligent control technology. He has received several accolades, including the prestigious nomination for the Best Researcher Award, highlighting his impact and dedication to advancing his field.

Publications 📚

Prof. Sun has published 12 research articles in esteemed journals, contributing significantly to the body of knowledge in robotics and intelligent control. His publications have been cited 11 times, reflecting the influence and importance of his work in the academic community.

Article Title: Research on Robot Embedded Perception and Control Technology (2023, Journal of Robotics and Automation, cited by 3 articles)

Article Title: Non-structured Environment Vision Technology (2022, International Journal of Advanced Robotic Systems, cited by 2 articles)

Article Title: Special Robots: Design and Application (2021, Journal of Intelligent & Robotic Systems, cited by 1 article)