Zhiwen Lin | Engineering | Best Researcher Award

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Dr. Zhiwen Lin | Engineering | Best Researcher Award 

Ph.D. Candidate in Mechanical Engineering at School of Mechanical and Aerospace Engineering, Jilin University, China

Zhiwen Lin, a dedicated Ph.D. candidate at the School of Mechanical and Aerospace Engineering, Jilin University, is a leading researcher in digital twin manufacturing and edge-fog computing. With a background in mechanical engineering and innovation in intelligent manufacturing, Zhiwen has spearheaded groundbreaking research and industrial solutions in the field.

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Education🎓

Zhiwen Lin completed a Master of Engineering in Mechanical Engineering at Beijing University of Technology, building a strong foundation for his doctoral studies at Jilin University. His academic journey reflects his commitment to advancing intelligent manufacturing systems.

Experience💼

Zhiwen developed DTWorks, an innovative digital twin workshop system, implemented in prominent enterprises such as FAW Group. His expertise spans cloud-fog-edge collaborative computing, adaptive production systems, and intelligent workshop management. He has contributed to high-profile research projects, including the National Key R&D Program and the National Natural Science Foundation projects.

Research Interests🔬

Zhiwen focuses on digital twin manufacturing, edge-fog computing, intelligent task scheduling, and manufacturing process optimization. His research emphasizes enhancing quality control, resource allocation, and secure computational frameworks in industrial systems.

Awards🏆

Zhiwen’s innovative research and industrial contributions have earned recognition through patents and publications. His patent “Method for Intelligent Perception Implementation of Full Elements in Digital Twin Machining Workshop” (CN202310033162.4) is a testament to his groundbreaking work in intelligent manufacturing.

Publications📚

Zhiwen has published influential articles in prestigious journals:

“Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops”

  • Year: 2024
  • Citations: 0

“Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop”

  • Year: 2024
  • Citations: 0

“Scene Equipment Saving and Loading Method for Digital Twin Workshop”

  • Year: 2023
  • Citations: 1

“Numerical and experimental analysis of ball screw accuracy reliability with time delay expansion under non-constant operating conditions”

  • Year: 2023
  • Citations: 0

Conclusion✨

Zhiwen Lin is an exemplary researcher whose work in digital twin systems, intelligent manufacturing, and edge-fog computing has significantly advanced the field of smart manufacturing. His academic achievements, patents, impactful publications, and practical implementations highlight his innovative approach and industrial relevance, making him a compelling candidate for the Research for Best Researcher Award.

Dora Zakarian | Materials Science | Best Researcher Award

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Dr. Dora Zakarian | Materials Science | Best Researcher Award

Senior Researcher at Institute for Problems in Materials Science, Ukraine

Dr. Dora Zakarian, a distinguished theorist in solid-state physics, has been contributing to material science since 1980 at the Institute for Problems in Materials Science (IPMS), Ukrainian National Academy of Science, Kyiv, Ukraine. With a doctorate in Physical and Mathematical Sciences, she is renowned for her innovative “a priori pseudopotential” method and groundbreaking studies on the mechanical properties of advanced materials.

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Education 🎓

Dr. Zakarian holds a Doctorate in Physical and Mathematical Sciences, specializing in solid-state physics. Her academic background is rooted in rigorous theoretical approaches, emphasizing quantum mechanics and material modeling.

Professional Experience 💼

Dr. Zakarian’s career spans over four decades at IPMS, where she has conducted theoretical studies of mechanical properties in diverse materials. She developed the “a priori pseudopotential” method, which has led to significant advancements in understanding materials like metals, carbides, borides, and eutectic composites. Her work has influenced fields such as nanotechnology and high-entropy alloys, resulting in dozens of foundational methodologies.

Research Interests 🔬

Dr. Zakarian’s research is centered on computational materials science, particularly:

  • Mechanical properties of composite materials under varying conditions.
  • Thermodynamic modeling of binary systems and eutectics.
  • Pioneering methods to account for size factors, anharmonic effects, and intercomponent interactions in composite materials.
  • Young’s modulus and other critical properties of advanced materials.

Awards and Recognitions 🏆

Dr. Zakarian has actively contributed to international research through:

  1. U.S. Navy Grant (2007-2009) – Simulation of ceramic composites in LaB₆-MeB₂ systems.
  2. U.S. Air Force Grant (2012-2014) – Modeling of boride ceramic composites.
  3. NATO Project Grant (2016-2023) – Development of shock-resistant boron-based ceramics, integrating production and testing.

Her groundbreaking contributions have been recognized globally, with applications in defense and aerospace industries.

Key Publications 📚

Dr. Zakarian has authored numerous peer-reviewed articles. Key works include:

Universal temperature dependence of Young’s modulus

  • Year: 2019
  • Citations: 42

Calculation of composition in LaB6–TiB2 and LaB6–ZrB2 eutectics by means of pseudopotential method

  • Year: 2011
  • Citations: 23

Pseudopotential method for calculating the eutectic temperature and concentration of the components of the B4C–TiB2, TiB2–SiC, and B4C–SiC systems

  • Year: 2009
  • Citations: 19

Ab-initio calculation of the coefficients of thermal expansion for MeB2 (Me–Ti, Zr) and LaB6 borides and LaB6–MeB2 eutectic composites

  • Year: 2012
  • Citations: 11

Quasi-harmonic approximation model in the theory of pseudopotentials

  • Year: 2016
  • Citations: 7

Расчет теоретической прочности алмазоподобных материалов, исходя из энергии взаимодействия атомных плоскостей

  • Year: 2006
  • Citations: 7

Mechanical characteristics of quasibinary eutectic composites with regard for the influence of an intercomponent interaction of the interface

  • Year: 2014
  • Citations: 5

Theoretical Strength of Borides and Quasibinary Boride Eutectics at High Temperatures

  • Year: 2015
  • Citations: 4

Наночастицы с алмазоподобной структурой и обратный закон Холла–Петча

  • Year: 2014
  • Citations: 3

Temperature dependence of the hardness of materials with a metallic, covalent-metallic bonds

  • Year: 2021
  • Citations: 2

For a complete list of publications, please refer to the accompanying document.

Conclusion 🌟

Dr. Dora Zakarian’s contributions to theoretical solid-state physics and materials science are pivotal in advancing our understanding of composite materials. Her innovations in computational methods and models have reshaped the study of mechanical and thermodynamic properties of advanced materials, making her a prominent figure in her field

Samuel Ojo | Civil and Environmental Engineering | Best Researcher Award

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Mr. Samuel Ojo | Civil and Environmental Engineering | Best Researcher Award

Samuel Ojo – Civil and Environmental Engineering | Graduate Research/Teaching Assistant at Case Western Reserve University, United States

Samuel Tosin Ojo is a highly motivated and innovative civil engineer specializing in sustainable infrastructure and environmental engineering. Currently pursuing a Ph.D. in Civil Engineering at Case Western Reserve University, Samuel is dedicated to developing advanced building materials and technologies that address key environmental challenges. His research spans various interdisciplinary fields, including machine learning applications in environmental engineering, bio-sensing wearables, and materials science for improved air quality. With a deep commitment to improving engineering practices and sustainable building solutions, Samuel brings a unique blend of academic rigor and practical experience to his field.

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Education

Samuel’s academic journey in civil engineering began at Ladoke Akintola University of Technology, where he earned a Bachelor of Technology (B. Tech) degree in Civil Engineering. Graduating with distinction, he achieved a GPA of 4.54 out of 5.0, placing him among the top two students in a cohort of 120. Currently, he is advancing his expertise as a Ph.D. candidate at Case Western Reserve University, focusing on cutting-edge research in civil engineering. This program has provided him with an exceptional platform for deepening his knowledge in sustainable building materials and the development of predictive machine learning models, broadening his understanding of how civil engineering can contribute to environmental health and sustainability.

Experience

Samuel has amassed extensive practical experience, beginning his professional career in Nigeria with FBS Construction Engineering Services, where he served as a site engineer on an ambitious multi-story hotel project. He was responsible for interpreting architectural and structural drawings, managing reinforcements, and supervising concrete batching. His roles required meticulous oversight of structural details, which helped him build a robust foundation in construction management. Later, he worked with Oat Construction and Matrix Resource Limited, where he managed the construction of commercial structures and gained hands-on experience in interpreting complex design specifications. Currently, he is applying his skills as a Research Assistant at Case Western Reserve University, where he delves into the application of innovative materials and machine learning techniques to enhance air quality and structural sustainability.

Research Interest

Samuel’s research centers on sustainable infrastructure, emphasizing the role of innovative materials in improving the built environment. His primary focus is the application of machine learning to enhance organic photocatalysts for indoor air quality management, a project aimed at mitigating pollutants in urban spaces. Additionally, Samuel is exploring bio-sensing wearables, a novel area in civil engineering that integrates biosensors with construction materials to improve environmental monitoring. His multidisciplinary research efforts reflect a forward-looking approach, seeking to integrate sustainable materials and data-driven methodologies to address pressing environmental challenges in urban infrastructure.

Awards

Samuel has received several prestigious awards that acknowledge his dedication to both academic excellence and professional growth. In 2021, he was honored with the Swanger Fellows Award at Case Western Reserve University, followed by a nomination for the Zydane Award later that year. His presentation skills earned him the People’s Award at the Three Minute Thesis (3MT) competition in 2023, a testament to his ability to communicate complex concepts effectively. Samuel was also awarded the Roy Harley Award, recognizing his promise as a graduate student in civil and environmental engineering. Most recently, he received the NCF 2023 Scholarship Award for his outstanding academic performance, further underscoring his commitment to the field of civil engineering.

Publications

“Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making” (2023) in ACS ES&T Water.

“A Novel Interpretable Machine Learning Model Approach for the Prediction of TiO2 Photocatalytic Degradation of Air Contaminants” (2024) in Scientific Reports.

“Kinetic Studies on Using Plasmonic Photocatalytic Coatings for Autogenously Improving Indoor Air Quality by Removing Volatile Organic Compounds,” presented at the 28th North American Catalysis Society Meeting.

“Innovative Antifungal Photocatalytic Paint for Improving Indoor Environment” (2023) in Catalysts.

Poster presentation on “Photocatalytic Inhibition of Microorganisms” at the Three Minute Thesis Competition.

“Habitable Home,” presented at Innovation Week at Case Western Reserve University.

“Deciphering Fungal Communication,” presented at the Gordon Research Conference.

Conclusion

Samuel Tosin Ojo embodies the qualities of a pioneering researcher, combining deep theoretical knowledge with practical applications that address real-world challenges. His dedication to sustainable building practices, innovative materials research, and application of machine learning in civil engineering positions him as a forward-thinking leader in his field. With a track record of significant contributions and ongoing commitment to improving environmental standards in civil engineering, Samuel is well-deserving of the Best Researcher Award. His vision for sustainable infrastructure and environmental health continues to inspire and influence those around him, marking him as an impactful figure in the future of civil engineering.

Xiaohui Wang | Sustainable materials | Best Researcher Award

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Prof. Xiaohui Wang | Sustainable materials | Best Researcher Award

Revealing contaminants in China’s recycled PET: Enabling safe food contact applications at South China University of Technology, China

Dr. Xiaohui Wang is a prominent researcher and academic affiliated with the South China University of Technology, where she has made significant contributions to the fields of carbohydrate chemistry, biomaterials, and nanotechnology. With a solid foundation in pulp and paper engineering, she has expanded her research to explore innovative applications of biopolymers and nanomaterials, focusing on sustainability and environmental impact. Her expertise has not only advanced scientific understanding but also contributed to practical solutions in various industries, including food safety and materials engineering.

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Education

Dr. Wang’s educational background is rooted in a rigorous academic training in the sciences. She earned her bachelor’s degree in Paper Science and Engineering, followed by a master’s degree in the same field, where her passion for material innovation blossomed. She further pursued her Ph.D. in Biomaterials, focusing on the development and characterization of chitosan and other biodegradable polymers. This comprehensive education has equipped her with the knowledge and skills necessary to lead groundbreaking research in her field.

Experience

Dr. Wang has accumulated extensive experience throughout her academic career. As a Deputy Director at the State Key Laboratory of Pulp and Paper Engineering, she leads various research initiatives and collaborates with industry partners to address pressing challenges in sustainable materials. Her leadership extends to participation in numerous national and international conferences, where she shares her insights and fosters collaborations. With a proven track record in securing research funding and mentoring students, Dr. Wang continues to inspire the next generation of researchers in her field.

Research Interests

Dr. Wang’s research interests are diverse and encompass the development of innovative materials for various applications. She specializes in the synthesis and characterization of chitosan and its composites, exploring their potential as antimicrobial agents and biodegradable alternatives to conventional materials. Her work also includes the application of nanotechnology in creating advanced materials for drug delivery systems and energy-efficient devices. Dr. Wang is particularly passionate about sustainability, focusing on how her research can contribute to more eco-friendly practices in industries such as packaging, agriculture, and biomedicine.

Awards

Dr. Wang has received several prestigious awards throughout her career, reflecting her contributions to science and technology. Among her accolades is the title of “Changjiang Scholar” Distinguished Professor, recognizing her leadership and research excellence. She has been acknowledged as a “Young Top-notch Talent” by the Organization Department and has received awards such as the Guangdong Province May 1st Labor Award and the May 4th Youth Medal. Her contributions to research have also been recognized with multiple second prizes in the Natural Science Award from the Ministry of Education and the Technical Invention Award from the Light Industry Federation. These honors underscore her commitment to advancing the field of biomaterials and sustainable practices.

Publications

Liu, H., Du, Y., Wang, X., & Sun, L. (2004). “Chitosan kills bacteria through cell membrane damage.” International Journal of Food Microbiology, 95(2), 147-155. [Cited by 1100]
Wang, X., Du, Y., & Liu, H. (2004). “Preparation, characterization and antimicrobial activity of chitosan–Zn complex.” Carbohydrate Polymers, 56(1), 21-26. [Cited by 541]
Wang, X., Du, Y., Fan, L., Liu, H., & Hu, Y. (2005). “Chitosan-metal complexes as antimicrobial agents: Synthesis, characterization and structure-activity study.” Polymer Bulletin, 55, 105-113. [Cited by 445]
Huang, F., Hou, L., Wu, H., Wang, X., Shen, H., Cao, W., Yang, W., & Cao, Y. (2004). “High-efficiency, environment-friendly electroluminescent polymers with stable high work function metal as a cathode: Green-and yellow-emitting conjugated polyfluorene.” Journal of the American Chemical Society, 126(31), 9845-9853. [Cited by 372]
Yang, Y., Wang, S., Wang, Y., Wang, X., Wang, Q., & Chen, M. (2014). “Advances in self-assembled chitosan nanomaterials for drug delivery.” Biotechnology Advances, 32(7), 1301-1316. [Cited by 333]
Ge, W., Cao, S., Yang, Y., Rojas, O. J., & Wang, X. (2021). “Nanocellulose/LiCl systems enable conductive and stretchable electrolyte hydrogels with tolerance to dehydration and extreme cold conditions.” Chemical Engineering Journal, 408, 127306. [Cited by 250]
Liang, Z., Kang, M., Payne, G. F., Wang, X., & Sun, R. (2016). “Probing energy and electron transfer mechanisms in fluorescence quenching of biomass carbon quantum dots.” ACS Applied Materials & Interfaces, 8(27), 17478-17488. [Cited by 248]
Ge, W., Cao, S., Shen, F., Wang, Y., Ren, J., & Wang, X. (2019). “Rapid self-healing, stretchable, moldable, antioxidant and antibacterial tannic acid-cellulose nanofibril composite hydrogels.” Carbohydrate Polymers, 224, 115147. [Cited by 204]

Conclusion

Dr. Xiaohui Wang exemplifies the qualities of a deserving candidate for the Best Researcher Award, owing to her extensive research contributions, dedication to sustainability, and leadership in the field of carbohydrate chemistry and biomaterials. Her impressive publication record, combined with her numerous awards, attests to her impact in advancing knowledge and fostering innovation. Recognizing Dr. Wang with this award would not only honor her achievements but also inspire future research in sustainable materials, reinforcing the importance of eco-friendly practices in scientific advancements. Her continued work promises to influence the future of her field, making her a noteworthy candidate for this esteemed recognition.

Chang He | Composite structures | Best Researcher Award

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Mr. Chang He | Composite structures | Best Researcher Award 

PHD student at Tongji University, China

Chang He is a dedicated Ph.D. student in Civil Engineering at Tongji University, Shanghai, where he has distinguished himself through exemplary academic performance and significant contributions to research. With a strong foundation in Civil and Hydraulic Engineering, he has garnered recognition for his innovative approach to integrating smart materials with traditional construction techniques. His commitment to advancing the field of civil engineering is evident in his participation in various high-impact research projects and his proactive engagement in scholarly activities.

Profile

ORCID

Education

Chang He began his academic journey at Shenyang Jianzhu University, where he earned his Bachelor’s degree in Civil Engineering with a commendable GPA of 87.6/100. He was recognized for his academic excellence through several awards, including the Merit Student Award and multiple scholarships. Pursuing further education, he obtained his Master’s degree in Civil and Hydraulic Engineering from Tongji University, achieving a GPA of 84.5/100. Currently, he is advancing his studies as a Ph.D. student in Civil Engineering, where he maintains an impressive GPA of 89.5/100, demonstrating his commitment to academic rigor and research excellence.

Experience

Chang He’s research experience is extensive and multifaceted. He has actively participated in several prominent research projects, including the NSFC Project focused on the integration of spherical piezoelectric smart materials with concrete, and the development of disaster acquisition robot equipment under the National Key R&D Program of China. His involvement in these projects has allowed him to gain hands-on experience in cutting-edge research methodologies and technologies, particularly in the context of structural health monitoring and disaster management. Additionally, he has contributed to the academic community as a reviewer for notable journals, further enhancing his understanding of current research trends and standards.

Research Interest

Chang He’s research interests lie at the intersection of civil engineering and advanced technology. His primary focus includes the application of machine learning and artificial intelligence to analyze and optimize the performance of construction materials and structures. He is particularly interested in exploring how innovative materials, such as fiber-reinforced polymers, can be integrated into traditional concrete structures to enhance their durability and resilience. By leveraging deep learning techniques, Chang aims to develop predictive models that can inform engineering practices and improve the safety and efficiency of civil engineering projects.

Awards

Throughout his academic career, Chang He has received several awards and honors that reflect his dedication to excellence in education and research. Notably, he was awarded the Social Work Scholarship twice, highlighting his commitment to community engagement and social responsibility. Additionally, he received the Second Prize Scholarship twice during his master’s studies, as well as the Third Prize Scholarship and the Merit Student Award during his undergraduate years. These accolades serve as a testament to his hard work, perseverance, and contributions to the academic community.

Publications

Chang He has authored and co-authored several research publications in esteemed journals, demonstrating his commitment to advancing knowledge in his field. His notable works include:

Deep Learning-Based Analysis of Interface Performance between Brittle Engineering Materials and Composites (Expert Systems with Applications, 2024).

Hyperparameter optimization for interfacial bond strength prediction between fiber-reinforced polymer and concrete (Structures, 2023).

Bayesian optimization for selecting efficient machine learning regressors to determine bond-slip model of FRP-to-concrete interface (Structures, 2022).

Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment (Measurement, 2023).

Application of Bayesian optimization approach for modelling bond-slip behavior of FRP-to-concrete interface (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

An acoustic-homologous deep learning method for FRP concrete interfacial damage evaluation (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

Conclusion

In conclusion, Chang He embodies the qualities of an exceptional researcher in civil engineering, combining academic excellence with impactful research contributions. His extensive experience, innovative research interests, and notable achievements position him as a strong candidate for the Best Researcher Award. By continuing to push the boundaries of knowledge in his field, Chang He is poised to make significant contributions to civil engineering and society as a whole. His commitment to excellence and passion for research make him a deserving nominee for this prestigious award.

Saloua El Euch Khay | Durable materials | Women Researcher Award

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Prof. Dr. Saloua El Euch Khay | Durable materials | Women Researcher Award 

Professor at National Engineering School of Tunis, Tunisia.

Prof. Dr. Saloua El Euch Khay is a distinguished academic at the National Engineering School of Tunis, Tunisia, specializing in civil engineering with a particular focus on durable materials. Her contributions to the field are notable for their innovative approaches to concrete technology and materials recycling. With a robust background in research and teaching, she has significantly influenced the academic landscape in her domain, fostering the next generation of engineers through her mentorship and hands-on guidance in various projects. Her commitment to sustainability and engineering excellence has earned her recognition both nationally and internationally.

Profile

ORCID

Education

Prof. Dr. Saloua El Euch Khay’s educational journey is marked by a series of prestigious qualifications. In 2018, she achieved her Habilitation à Diriger des Recherches (HDR) in Civil Engineering, affirming her capacity to supervise doctoral research. This followed her impressive 2010 doctoral thesis, where she earned a very honorable mention for her work on fatigue phenomena and shrinkage in compacted sand concrete for roadway applications. Her academic foundation includes a national engineering degree from ENIT, where she graduated at the top of her class in 1994. She also holds an aggregation in technological disciplines, further reinforcing her expertise and commitment to civil engineering.

Experience

Prof. Dr. El Euch Khay has extensive teaching experience at ENIT, where she has served as a Maître de Conférences since 2020, sharing her knowledge in courses covering structures, roads, and synthesis projects. She has been pivotal in supervising numerous final-year projects and master’s theses, guiding students through complex research topics related to materials and structural engineering. Her previous role as Maître-Assistant from 2015 to 2020 allowed her to deepen her engagement with students and contribute significantly to innovative research projects, further solidifying her role as a leader in academia. Her prior experience as a technologist has also enriched her practical understanding of engineering applications, allowing her to bridge theoretical knowledge with real-world practice.

Research Interest

Prof. Dr. El Euch Khay’s research interests primarily revolve around the durability of construction materials, specifically in the realm of concrete technology. She focuses on the recycling of materials and the development of sustainable concrete mixtures that minimize environmental impact. Her work explores the formulation and modeling of concrete using various materials, including recycled asphalt pavement and other by-products. This research not only addresses industry challenges but also contributes to the broader discourse on sustainable construction practices. Her projects often involve collaboration with students and industry stakeholders, fostering innovation in the engineering field.

Awards

Prof. Dr. El Euch Khay has received several accolades recognizing her contributions to civil engineering and education. Her commitment to research excellence has led to awards and commendations for her innovative work in sustainable materials and concrete technology. These honors reflect her dedication to advancing the field and her impact on students and peers alike. She is often invited to present her findings at international conferences, further showcasing her expertise and the relevance of her work in today’s engineering landscape.

Publications

Prof. Dr. El Euch Khay has an extensive list of publications, with numerous articles featured in international journals that underline her research’s significance. Key publications include:

S. El Euch Khay, A. Loulizi, Z. Zayen & G. Nammouchi. Experimental and predictive study of self-compacting concrete containing reclaimed asphalt pavement, European Journal of Environmental and Civil Engineering, 2024. DOI: 10.1080/19648189.2024.2357672 (Impact Factor: 2.2)

A. Bousleh & S. El Euch Khay. Shrinkage performance and modelling of concretes incorporating crushed limestone sand with a high content of fillers for pavement slabs, European Journal of Environmental and Civil Engineering, 2023. DOI: 10.1080/19648189.2023.2276128 (Impact Factor: 2.2)

H. Zbidi, S. El Euch Khay. New Selection Process for Retaining Walls Based on Life Cycle Assessment and Economic Concerns, International Journal of Engineering Research in Africa, 2023, Vol. 66, pp 29-44. DOI: 10.4028/p-OVz45X (Impact Factor: 0.9)

H. Zbidi, S. El Euch Khay. Environmental Impact of a Reinforced Geosynthetic Retaining Wall Made of Modular Vegetated Concrete Blocks, International Journal of Scientific Research & Engineering Technology (IJSET), Vol.19, pp. 33-41, 2023. Link

W. Ben Achour, S. El Euch Khay, K. Miled & J. Neji. Experimental study of the mechanical behaviour of brick waste concrete and analytical prediction of its elastic modulus as a three composite material, International Journal of Engineering Research in Africa, 2021. DOI: 10.4028/www.scientific.net/JERA.57.125 (Impact Factor: 0.9)

Conclusion

Prof. Dr. Saloua El Euch Khay is a highly qualified candidate for the “Women Researcher Award.” Her academic achievements, research contributions, and dedication to mentorship showcase her as a role model in the engineering community, particularly for aspiring female researchers. By enhancing her outreach, expanding collaborations, and targeting higher-impact publications, she can further increase her influence in the field. Recognizing her efforts through this award will not only honor her achievements but also inspire future generations of women in science and engineering.

Amit Jaiswal | Geology Engineering | Best Researcher Award

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Mr. Amit Jaiswal | Geology Engineering | Best Researcher Award 

Research Scholar | Indian Institute of Technology Patna | India

 

Research for Best Researcher Award: Amit Jaiswal

Strengths for the Award

Amit Jaiswal demonstrates exceptional prowess in Geotechnical Engineering, particularly in areas like Rock Mechanics, Slope Stability, and Landslide Analysis. His research is marked by significant contributions to understanding rock mass classification, slope stability, and the impact of freeze-thaw conditions on rock strength. Notably, his paper on slope stability through rock mass classification and kinematic analysis published in the Journal of Rock Mechanics and Geotechnical Engineering (2024) is a testament to his high-impact research.

Jaiswal’s ability to integrate Machine Learning with traditional geotechnical methods enhances the accuracy of his models, showcasing his innovative approach. His involvement in high-impact publications in journals like Scientific Reports and Quaternary Science Advances, and his numerous conference presentations, reflect his dedication and leadership in advancing knowledge in his field.

Areas for Improvement

While Jaiswal’s research output is commendable, there are areas where further enhancement could bolster his profile. For instance:

  1. Broader Research Collaboration: Expanding collaborations beyond geotechnical engineering to interdisciplinary fields could provide new perspectives and enhance the application of his research.
  2. Increased Public Engagement: Engaging more with non-academic audiences through public talks or outreach programs could raise awareness of his work’s real-world applications and societal impact.
  3. Inclusion of Emerging Technologies: Exploring integration with newer technologies or methodologies, such as advanced AI applications in predictive modeling, could further enrich his research contributions.

Conclusion

Amit Jaiswal stands out as a promising candidate for the Best Researcher Award due to his robust research portfolio and impactful publications. His expertise in geotechnical engineering, combined with his innovative use of machine learning techniques, positions him as a leading researcher in his field. Addressing the areas for improvement could enhance his already impressive profile, further solidifying his role as a prominent researcher in geotechnical engineering and related disciplines.

 

Short Biography

Amit Jaiswal 🧑‍🎓 is a dedicated research scholar in Geotechnical Engineering at the Indian Institute of Technology Patna. With a strong background in rock mechanics and machine learning applications, Jaiswal is recognized for his pioneering work in slope stability and landslide analysis. His research aims to enhance the understanding and management of geotechnical challenges through innovative methodologies.

Education 🎓

  • PhD (Pursuing) in Rock Mechanics, Indian Institute of Technology Patna
  • M.Sc. in Geology, Institute of Science, Banaras Hindu University (2016-2018), CPI: 9.39
  • B.Sc. (Hons.) in Geology, Institute of Science, Banaras Hindu University (2013-2016), CPI: 8.65
  • 12th Standard, Kendriya Vidyalaya, BHU, Science, 91%
  • 10th Standard, Kendriya Vidyalaya, BHU, Science, 89.3%

Research Experience 🔬

Amit Jaiswal has held prominent positions such as Senior Research Fellow at IIT Patna (since 2024) and Junior Research Fellow at IIT Patna (2023-2024) and IIT BHU (2021-2023). His prior experience includes working as a Mine Geologist at Hindustan Zinc Limited, contributing to practical applications of geotechnical research in industry settings.

Research Interests 🌍

Jaiswal’s research focuses on Rock Mechanics, Slope Stability, Landslide Analysis, Tunneling, Petrology, and Structural Geology. He is also exploring Machine Learning applications to enhance predictive models and assessment techniques in geotechnical engineering.

Awards 🏆

  • Prof. T.N. Singh Best Paper Award at the 2nd International Conference on Geotechnical Issues in Energy, Infrastructure, and Disaster Management, organized by IIT Patna (2024).

Publications 📚

Jaiswal, A., Verma, A.K., & Singh, T.N. (2024). Evaluation of slope stability through rock mass classification and kinematic analysis of major slopes along NH-1A from Ramban to Banihal, North Western Himalayas. Journal of Rock Mechanics and Geotechnical Engineering, 16(1), 167-182. (SCI, IF 9.4, Q1)

Jaiswal, A., & Verma, A.K. (2024). Geo-Engineering Investigations and Numerical Analysis of Namok Khola Landslide along NH310A, Sikkim, India. Indian Geotechnical Journal, 1-11. (SCI, IF 1.4, Q3)

Jaiswal, A., Verma, A.K., & Singh, T.N. (2024). A critical review of rock mass classification systems for assessing the stability condition of rock slopes. Environmental Earth Sciences, 83(8), 245. (SCI, IF 2.8, Q2)

Jaiswal, A., Verma, A.K., & Singh, T.N. (2024). A novel proposed classification system for rock slope stability assessment. Scientific Reports, 14(1), 10992. (Nature Scientific Reports, SCI, IF 3.8, Q1)

Jaiswal, A., Sabri, M.S., Verma, A.K., Sardana, S., & Singh, T.N. (2024). Prediction of UCS and BTS under Freeze-Thaw Conditions in the NW Himalayan Rock Mass using Petrographic Analysis and Laboratory Testing. Quaternary Science Advances, 100225. (Scopus, IF 2.9, Q1)

Jaiswal, A., Verma, A.K., Pandit, B., & Singh, T.N. (2024). Himalayan rock slope stability investigation using empirical and numerical approach along NH-44 of Jammu and Kashmir, India. Journal of Earth System Science (Accepted). (SCI, IF 1.3, Q2)

Sabri, M.S., Jaiswal, A., Verma, A.K., & Singh, T.N. (2024). Advanced machine learning approaches for uniaxial compressive strength prediction of Indian rocks using petrographic properties. Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-22. (Scopus, IF 1.9, Q3)

Verma, A.K., Sardana, S., & Jaiswal, A. (2023). Study of freeze-thaw induced damage characteristic for Himalayan schist. Journal of the Geological Society of India, 99(3), 390-396. (SCI, IF 1.3, Q3)

Singh, J., Verma, A.K., Banka, H., & Jaiswal, A. (2024). Optics-based metaheuristic approach to assess critical failure surfaces in both circular and non-circular failure modes for slope stability analysis. Rock Mechanics Bulletin, 3(1), 100084. (Scopus)

Jaiswal, A., Verma, A.K., & Singh, T.N. (2024). Impact of microtexture of Indian metamorphic rocks on its strength properties. Rock Mechanics Bulletin (Under Review).

Zhi Huang | Structural Engineering | Best Paper Award

Posted on by Academic achievements

Assoc Prof. Dr. Zhi Huang | Structural Engineering | Best Paper Award

Dean | Hunan University of Science and Technology | China

 

Research Paper Review: Best Paper Award Evaluation for Associate Professor Zhi Huang, Ph.D., P.E.

Strengths for the Award:

  1. Extensive Research Contributions: Associate Professor Zhi Huang has demonstrated an impressive breadth of research in the field of structural engineering, particularly in seismic performance and composite structures. His publication record includes over 10 high-impact journal papers, such as those in Steel and Composite Structures and Structures. His research addresses critical issues in earthquake-resistant design and the behavior of high-rise and mega structures under severe conditions.
  2. Innovative Methodologies: Huang’s work employs advanced methodologies, including the use of GA-BP neural networks for hysteresis performance studies and FEM analysis for seismic performance. This indicates a strong commitment to integrating cutting-edge technology into his research, enhancing the practical relevance and accuracy of his findings.
  3. Significant Research Funding: The substantial grants from prestigious sources like the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation underscore the high value and impact of Huang’s research. His role as PI in several high-profile projects demonstrates his leadership and ability to secure funding for significant research initiatives.
  4. Professional Affiliations and Honors: Huang’s roles as an editorial board member for notable journals and his receipt of awards like the “Young Charming Teacher” and “High-level talent development support plan” reflect his recognized contributions to the field and his influence within the academic community.

Areas for Improvement:

  1. Publication Diversity: While Huang’s publications are robust in structural engineering and seismic performance, expanding his research into interdisciplinary areas or emerging topics within civil engineering could broaden his impact and appeal to a wider audience.
  2. Collaborative Opportunities: Increased collaboration with international researchers or industry practitioners could enhance the applicability of his research findings and lead to innovative solutions that address global challenges in structural engineering.
  3. Engagement in Emerging Technologies: Further exploration of emerging technologies such as AI in structural health monitoring or smart materials could position Huang’s research at the forefront of future advancements in civil engineering.
  4. Broader Dissemination: Although his research is published in high-impact journals, increasing efforts in publicizing findings through conferences, workshops, and interdisciplinary platforms could enhance the visibility and practical application of his work.

Conclusion:

Associate Professor Zhi Huang’s research in structural engineering, particularly in seismic performance and composite structures, is both pioneering and impactful. His innovative methodologies, substantial research funding, and professional accolades support his candidacy for the Best Paper Award. By addressing the areas for improvement, such as broadening his research scope and enhancing collaborative and dissemination efforts, Huang could further solidify his position as a leading researcher in his field. Overall, his contributions represent a significant advancement in earthquake-resistant design and structural performance, making him a strong contender for the award.

Biography

Associate Professor Zhi Huang, Ph.D., P.E., is a distinguished academic in civil engineering with expertise in structural engineering and seismic design. Currently serving at Hunan University of Science and Technology, Dr. Huang has a strong background in earthquake-resistant designs and composite structures. His innovative research and significant contributions to the field have earned him recognition as a leading expert in his domain.

Profile

SCOPUS

Education 🎓

  • Ph.D. in Civil Engineering (Structural Engineering)
    Central South University, China (Sept. 2011 – Dec. 2017)
    Advisor: Jiang Lizhong
  • Ph.D. Joint Training Program in Civil Engineering (Structural Engineering)
    The Pennsylvania State University, USA (Mar. 2015 – Apr. 2016)
    Advisor: Y. Frank Chen
  • M.S. in Civil Engineering (Structural Engineering)
    Changsha University of Science & Technology, China (Sept. 2008 – June 2011)
    Advisor: Lei Guangyu
  • B.E. in Civil Engineering
    Jiangsu University of Science and Technology, China (Sept. 2004 – June 2008)

Experience 🏆

Dr. Huang has served as an Associate Professor and Lecturer at the School of Civil Engineering, Hunan University of Science and Technology, since 2017. His roles involve advanced research in seismic performance and the development of innovative structural solutions. He has also participated in significant construction and reconstruction projects, contributing his expertise to various engineering challenges.

Research Interests 🔬

Dr. Huang’s research focuses on:

  • Seismic Design: Earthquake-resistant designs for high-rise and super high-rise buildings and composite structures.
  • Integrated Design and Construction: Developing integrated approaches for construction and structural performance.
  • Software Development: Creating tools and software for enhanced structural analysis and design.

Awards 🏅

  • High-level Talent Development Support Plan: Recognized as a young innovative talent at Hunan University of Science and Technology.
  • Young Charming Teacher: Awarded by Hunan University of Science and Technology in 2018 for excellence in teaching and research.

Publications 📚

  1. Study on hysteresis performance of four-limb CFST latticed column-box girder joints based on GA-BP neural network
    Structures, 2024, 67: 107007
  2. Experimental study on the seismic performance of concrete filled steel tubular laced columns
    Steel and Composite Structures, 2018, 26(6), pp. 719-731
  3. Studies on Restoring Force Model of Concrete Filled Steel Tubular Laced Column to Composite Box-Beam Connection
    Steel and Composite Structures, 2016, 22(6), pp. 1217-1238
  4. Mechanical behaviour research of long span prestressed steel–concrete composite beam
    Materials Research Innovations, 2014, 18(S2), pp. 28-32
  5. Seismic damage model and tests of CFST latticed columns under repeated load
    Journal of Vibration and Shock, 2022, 41(19), pp. 163-170
  6. Studies on seismic damage model of concrete-filled steel tube laced columns
    Chinese Journal of Applied Mechanics, 2022, 39(4), pp. 717-725
  7. Aseismic performance test and FEM analysis of concrete-filled steel tube lattice columns
    Journal of Natural Disasters, 2022, in press
  8. Tests for aseismic behavior of connection joints composed of concrete-filled steel tubular lattice columns and composite box girders
    Journal of Vibration and Shock, 2014, 33(18), pp. 156-163
  9. Correlation Research between Landslide Thrust and Invading Width of Rock for Rock-Socketed Anti-sliding Pile in Steep Slope
    Electronic Journal Geotechnical Engineering, 2013, 18(Z), pp. 5957-5966
  10. Mechanical Behavior Research for the Interior Joint of New Light-weight Portal Rigid Frame (Ⅱ)
    Applied Mechanics and Materials, 2013, Vols. 351-352, pp. 454-459

 

Mostafa Bigdeli | Civil Engineering | Best Researcher Award

Posted on by Academic achievements

Mr.Mostafa Bigdeli | Civil Engineering | Best Researcher Award

Student University of Ottawa  Canada

Mostafa Bigdeli is a seasoned water resources engineer with over a decade of experience in sustainable water management, hydraulics, and hydrology. His expertise spans numerical modeling, hydrotechnical engineering, and designing water infrastructure. With a strong academic background and extensive research experience, Mostafa has contributed significantly to the field of water resources through his work at the University of Ottawa and the National Research Council of Canada.

Profile

Scopus

Education

🎓 Ph.D. in Civil Engineering (Specialization in Hydrology and Hydraulics) (In Progress – Fall 2024)
University of Ottawa, Canada

🎓 M.Sc. in Civil and Environmental Engineering (2016)
Sharif University of Technology, Tehran, Iran

🎓 B.Sc. in Civil Water and Waste Water Engineering (2013)
Shahid Beheshti University, Tehran, Iran

Experience

💼 Research Assistant
National Research Council of Canada (NRC) (Jan 2023 – Feb 2024)

  • Modeled microplastics transport and deposition.
  • Developed CFD models for hydraulic applications.
  • Collaborated with cross-functional teams for data integration.

💼 Research Assistant
University of Ottawa – NRC (Jan 2022 – Jan 2023)

  • Simulated microplastics transport in the Ottawa River.
  • Conducted field studies and laboratory experiments.

💼 Supervisor
Air and Climate Projects, Tehran, Iran (Apr 2019 – Aug 2021)

  • Managed air pollutants and GHG emission inventory projects.
  • Developed emission reduction strategies.

💼 Supervisor
Water & Wastewater Networks Projects, Tehran, Iran (Mar 2017 – Mar 2019)

  • Supervised water distribution and wastewater collection network projects.

Research Interests

Mostafa’s research focuses on sustainable water management, numerical and experimental modeling of water systems, hydrotechnical and hydrological modeling, dam break analysis, and microplastics transport. His work integrates advanced data analysis and computer modeling techniques to improve water resources management.

Awards

  • Ranked in the top 1% of the Nationwide University Entrance Exams for B.Sc.
  • Ranked in the top 0.5% of the Nationwide University Entrance Exams for M.Sc.

Publications

  • Bigdeli, M., Mohammadian, A., Pilechi, A. (2024). “A Laboratory Dataset on Transport and Deposition of Spherical and Cylindrical Large Microplastics for Validation of Numerical Models.” Journal of Marine Science and Engineering, MDPI. https://doi.org/10.3390/jmse12060953 – Cited by 5 articles.
  • Roshani, E., Popov, P., Kleiner, Y., Sanjari, S., Colombo, A., Bigdeli, M. (2024). “Detecting and Locating Chemical Intrusion in Water Distribution Systems Using 9-1-1 Calls.” Journal of Hydroinformatics. https://doi.org/10.2166/hydro.2024.299 – Cited by 3 articles.
  • Bigdeli, M., Taheri, M., Mohammadian, A. (2023). “Numerical Modeling of Dam-Break Flood Flows for Dry and Wet Sloped Beds.” ISH Journal of Hydraulic Engineering. https://doi.org/10.1080/09715010.2022.2052986 – Cited by 4 articles.
  • Bigdeli, M., Mohammadian, A., Pilechi, A. (2022). “Numerical Modeling of Marine Microplastics Deposition Using Coupled CFD-DEM.” 3rd IAHR Young Professionals Congress.
  • Bigdeli, M., Mohammadian, A., Pilechi, A., Taheri, M. (2022). “Lagrangian Modeling of Marine Microplastics Fate and Transport: The State of the Science.” Journal of Marine Science and Engineering, MDPI. https://doi.org/10.3390/jmse10040481 – Cited by 6 articles.
  • Bigdeli, M., Mohammadian, A. (2021). “Numerical Simulation of Dam-Break Flood Flows on Sloping Beds.” CFDSC2021 Conference.
  • Bigdeli, M., Mohammadian, A. (2021). “Numerical Simulation of Turbulent Offset Dense Jet Flow.” CSCE 2021 Annual Conference.

Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

Posted on by Academic achievements

Mr.Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

MS Scholar Capital University of Science and Technology Pakistan

Muhammad Noman Shahid is a dedicated Mechanical Engineer currently pursuing an MS in Mechanical Engineering at CUST, Islamabad. With a CGPA of 4.00/4.00 and a solid foundation in mechanical engineering principles, Muhammad’s expertise spans FEA, CFD, topological optimization, and CAD modeling. His academic and professional journey reflects his commitment to innovation and excellence in the engineering field.

Profile

ORCiD

Education

🎓 Muhammad Noman Shahid is completing his MS in Mechanical Engineering at Capital University of Science and Technology (CUST), Islamabad, with an expected graduation date of July 2025 and a perfect CGPA of 4.00/4.00. He also holds a BS in Mechanical Engineering from the same institution, achieved from 2019 to 2023, where he worked on the “Design and Development of Continuous Passive Motion (CPM) Machine for Post Knee Surgery Rehabilitation” as his final year design project.

Experience

💼 Muhammad’s professional experience includes an internship at SABRO Air Conditioning Pakistan in Islamabad, where he gained over 200 hours of hands-on experience in various HVAC manufacturing processes. His contributions included optimizing production time, ensuring product integrity, and enhancing overall HVAC system efficiency. Muhammad has also demonstrated leadership in numerous extracurricular roles, such as Focal Person at Pakistan Nuclear Society and President Media at Al-Muhandis Society, CUST.

Research Interests

🔬 Muhammad’s research interests lie in mechanical engineering, focusing on fluid dynamics, computational modeling, topological optimization, and biomechanics. He is particularly passionate about developing innovative solutions in tissue engineering and energy storage systems.

Awards and Funding

🏅 Muhammad has received several accolades for his academic excellence and innovative projects. In 2024, he achieved the Chancellor’s Honor Roll and secured the 3rd position in Mechanical Engineering (Entrepreneurship) at the 2nd Federal Engineering Capstone Expo. He also received IGNITE funding under the National Technology Fund’s Grossroot ICT Research Initiative for his final year design project.

Publications

📚 Muhammad has published significant research work, including:

  1. “Computational Investigation of the Fluidic Properties of Triply Periodic Minimal Surface (TPMS) Structures in Tissue Engineering,” Designs, vol. 8, no. 4, 2024. Link
    • Cited by: Articles in tissue engineering and fluid dynamics journals.
  2. “A Biomechanical Approach for Computational Assessment of Heavy Payload Robots in Human-Robot Accident Scenarios for Industry 4.0,” Nanotechnology Reviews, 2023. [In Review]