Mohammadmahdi Amini | Structural health monitoring | Best Researcher Award

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Mr. Mohammadmahdi Amini | Structural health monitoring | Best Researcher Award

Innovation & Technology Manager at Laskaridis Shipping Co. LTD, Greece

🎓 Mohammadmahdi Amini, a skilled BIM Modeler born in 1995, has over 3 years of professional expertise in Revit-based Building Information Modeling (BIM). 🌍 Based in Damghan, Semnan, Iran, he has authored three Q1 Elsevier journal papers exploring the effects of magnetic fields on concrete properties. 🏗️ Proficient in Autodesk Revit, AutoCAD, and advanced design software, Mohammadmahdi excels in architectural design, construction documentation, and quantity surveying. ✍️ Fluent in English with an IELTS score of 6, he thrives in collaborative environments, showcasing a passion for innovative civil engineering solutions.

Publication Profile

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Education🎓

Mohammadmahdi holds a Bachelor’s degree in Civil Engineering from Semnan University, Iran (2014–2019). 🏫 Specializing in structural analysis and concrete technologies, he developed a foundational understanding of construction methodologies and project management. 📚 With a GPA of 13.73, his academic journey laid the groundwork for his advanced research in magnetic fields’ effects on concrete, culminating in contributions to high-impact journals. ✨ Semnan University was instrumental in shaping his technical and analytical abilities, inspiring his pursuit of excellence in BIM modeling and civil engineering research.

Experience 💼

As a BIM Modeler at Agourconstruction (Dec 2020–Feb 2024), Mohammadmahdi specialized in Revit-based architectural drafting, quantity surveying, and cost estimation. 📊 His role extended to supervision assistance and resident engineering, ensuring project execution met quality standards. 🏗️ With a keen eye for detail, he collaborated with multidisciplinary teams to deliver efficient construction documentation. ✨ Leveraging his Revit and AutoCAD expertise, he optimized workflows and developed innovative solutions for construction challenges. 🌟 His commitment to excellence has consistently driven successful project outcomes.

Awards and Honors 🏅

Elsevier Recognition: Published three Q1 journal papers in 2024, advancing research in magnetic fields’ effects on concrete. Academic Achievement: Recognized for contributing innovative methodologies to concrete technologies at Semnan University Innovation Awards: Praised for applying novel magnetic approaches in structural engineering solutions. Professional Excellence: Earned commendations for delivering high-quality BIM projects and advancing Revit-based construction workflows.

Research Focus 🔬

Mohammadmahdi’s research centers on leveraging magnetic fields to enhance concrete’s mechanical properties. 🧲 His studies delve into the compressive strength of concrete enriched with silica sand, ferrosilicon, and nano-silica. 📖 His publications include experimental and numerical investigations of magnetic field effects, aiming to improve concrete’s durability and magnetization. 💡 A pioneering approach integrates nanotechnology and magnetic innovations for advanced construction materials. ✨ His work bridges theory and application, inspiring sustainable and efficient civil engineering solutions.

Publications 📖

1. Numerical Investigation on the Impact of Alternating Magnetic Fields on the Mechanical Properties of Concrete with Various Silica Sand and Ferrosilicon Compositions

Authors: Ghanepour, M.; Amini, M.M.; Rezaifar, O.
Journal: Results in Engineering
Volume: 24
Article ID: 103631
Year: 2024
Citations: 0
This study investigates the mechanical behavior of concrete exposed to alternating magnetic fields, focusing on compositions incorporating silica sand and ferrosilicon. Advanced numerical simulations provide insights into how magnetic fields influence concrete’s structural performance and durability. This work serves as a significant step in optimizing construction materials for modern infrastructure.

2. Experimental Analysis of the Impact of Alternating Magnetic Fields on the Compressive Strength of Concrete with Various Silica Sand and Microsilica Compositions

Authors: Amini, M.M.; Ghanepour, M.; Rezaifar, O.
Journal: Case Studies in Construction Materials
Volume: 21
Article ID: e03487
Year: 2024
Citations: 3
This experimental study explores the compressive strength enhancement of concrete treated with alternating magnetic fields. It emphasizes how the integration of silica sand and microsilica alters the concrete’s properties under magnetic exposure. The findings highlight innovative strategies to improve concrete performance in high-demand applications.

3. A Novel Magnetic Approach to Improve Compressive Strength and Magnetization of Concrete Containing Nano Silica and Steel Fibers

Authors: Rezaifar, O.; Ghanepour, M.; Amini, M.M.
Journal: Journal of Building Engineering
Volume: 91
Article ID: 109342
Year: 2024
Citations: 7
This paper presents a groundbreaking approach to enhancing concrete’s compressive strength and magnetization through the inclusion of nano silica and steel fibers. The application of magnetic fields during the curing process demonstrates significant improvements in both mechanical and magnetic properties. This research has profound implications for the construction of magnetically sensitive and structurally robust materials.

Conclusion

Mohammadmahdi Amini demonstrates significant potential for the Research for Best Researcher Award due to his impactful publications, technical expertise, and innovative research on concrete properties. However, improving language proficiency, further diversifying research topics, and showcasing exceptional academic achievements could make his profile even more compelling for international recognition. Overall, he is a strong candidate for the award.

Xiaolin Yang | CImage analysis | Best Researcher Award

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Dr. Xiaolin Yang | Image analysis | Best Researcher Award

Dr at China university of mining and technology, China

Xiaolin Yang is a skilled Business Analyst and Postdoctoral Researcher at Henan Investment Group. With a solid background in mineral process engineering, his expertise spans industry research, project management, and production optimization. Xiaolin holds a Bachelor’s and a Ph.D. in Mineral Process Engineering from the China University of Mining and Technology, specializing in mineral processing, machine learning, and image analysis. His dedication to academic excellence and practical application makes him a valuable asset in the mineral industry.

Publication Profile

scopus

Education🎓 

.Bachelor of Mineral Process Engineering | China University of Mining and Technology, 2015–2019 | Focus: Mineral separation methods and equipment. Doctor of Mineral Process Engineering | China University of Mining and Technology, 2019–2024 | Research areas: Mineral processing, machine learning, image analysis. Xiaolin’s academic journey emphasized innovation in mineral separation, blending engineering with data science to improve mineral processing efficiency and accuracy.

Experience💼 

Postdoctoral Researcher | Henan Investment Group, 2024–Present | Xiaolin’s role involves comprehensive industry research, preparing assessment reports, and offering investment insights and recommendations. His project management tasks focus on feasibility assessments and evaluating the effectiveness of production processes, aiming to optimize industrial production and implement innovative solutions in mineral processing.

Awards and Honors🏆 

Published Author | Xiaolin has authored notable academic articles, such as in Journal of Materials Research and Technology (2021), Energy (2022), and Expert Systems with Applications (2024). His work, recognized for its significance in mineral processing and machine learning, highlights his expertise in utilizing advanced algorithms for practical industry challenges.

Research Focus🔍

Research Interests | Xiaolin’s research delves into mineral processing, machine learning applications, and image analysis. His studies, including deep learning for ash determination in coal flotation, explore novel algorithms to enhance mineral processing accuracy, bridging engineering and artificial intelligence for industrial optimization.

Publication  Top Notes

Multi-scale neural network for accurate determination of ash content in coal flotation concentrate

Authors: Yang, X., Zhang, K., Thé, J., Tan, Z., Yu, H.

Journal: Expert Systems with Applications, 2025, 262, 125614

Description: This paper presents a multi-scale neural network model that accurately determines ash content in coal flotation concentrate using froth images, leveraging deep learning to enhance mineral processing efficiency.

STATNet: One-stage coal-gangue detector for real industrial applications

Authors: Zhang, K., Wang, T., Yang, X., Tan, Z., Yu, H.

Journal: Energy and AI, 2024, 17, 100388

Description: The STATNet model is introduced as a coal-gangue detection system using a one-stage deep learning algorithm, tailored for industrial application with a focus on real-time processing.

COFNet: Predicting surface area of covalent-organic frameworks

Authors: Wang, T., Yang, X., Zhang, K., Tan, Z., Yu, H.

Journal: Chemical Physics Letters, 2024, 847, 141383

Description: COFNet utilizes deep learning to predict the specific surface area of covalent-organic frameworks, combining structural image analysis with statistical features for accurate predictions.

Enhancing coal-gangue detection with GAN-based data augmentation

Authors: Zhang, K., Yang, X., Xu, L., Tan, Z., Yu, H.

Journal: Energy, 2024, 287, 129654

Description: This study employs GAN-based data augmentation and a dual attention mechanism to improve coal-gangue object detection, aiming to refine accuracy in complex industrial environments.

Multi-step carbon price forecasting using hybrid deep learning models

Authors: Zhang, K., Yang, X., Wang, T., Tan, Z., Yu, H.

Journal: Journal of Cleaner Production, 2023, 405, 136959

Description: A hybrid deep learning model for multi-step forecasting of carbon prices is proposed, integrating multivariate decomposition to enhance predictive reliability.

PM2.5 and PM10 concentration forecasting with spatial–temporal attention networks

Authors: Zhang, K., Yang, X., Cao, H., Tan, Z., Yu, H.

Journal: Environment International, 2023, 171, 107691

Description: This article introduces a spatial–temporal attention mechanism for PM2.5 and PM10 forecasting, using convolutional neural networks with residual learning to tackle air quality predictions.

Ash determination of coal flotation concentrate using hybrid deep learning model

Authors: Yang, X., Zhang, K., Ni, C., Tan, Z., Yu, H.

Journal: Energy, 2022, 260, 125027

Description: This work features a hybrid model that utilizes deep learning and attention mechanisms to determine ash content in coal flotation, contributing to process optimization.

Influence of cation valency on flotation of chalcopyrite and pyrite

Authors: Yang, X., Bu, X., Xie, G., Chehreh Chelgani, S.

Journal: Journal of Materials Research and Technology, 2021, 11, pp. 1112–1122

Description: This comparative study explores how different cation valencies affect chalcopyrite and pyrite flotation, contributing to better separation techniques in mineral processing.

Conclusion

Xiaolin Yang is a compelling candidate for the Best Researcher Award. His strengths in applying AI and image analysis to mineral processing reflect a unique skill set that is highly relevant for advancing research and industry practices. With further interdisciplinary work and expanded research visibility, Xiaolin is well-positioned to make impactful contributions and earn recognition in his field.

Matthew Cavanagh | Psychology | Best Researcher Award

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Mr. Matthew Cavanagh | Psychology| Best Researcher Award

Mr. Ulster University, United Kingdom

Matthew Cavanagh is a PhD researcher at Ulster University, specializing in developing a Whole School Approach to support Primary School Students with dyslexia. His research includes the published work “The theoretical and evidence-based components of whole school approaches: An international scoping review” in the British Educational Research Association’s “Review of Education.” He previously published his MSc Dissertation, “COVID-19 Vaccine Uptake and Hesitancy Survey in Northern Ireland and Republic of Ireland: Applying the Theory of Planned Behaviour,” in a leading scientific journal. Founder of Auxilium Education, Matthew also provides private consultations and tuition. He holds a BSc in Psychology and an MSc in Health/Medical Psychology from Ulster University.

 

Professional Profiles:

Scopus

🎓 PhD Researcher at Ulster University

I am currently undertaking a full-time scholarship at Ulster University as a PhD researcher. My work specializes in developing a Whole School Approach to supporting Primary School Students with dyslexia. I have completed the first two stages of a four-stage development process for this Whole School Approach. The first stage, titled “The theoretical and evidence-based components of whole school approaches: An international scoping review,” has been published in the British Educational Research Association’s “Review of Education.”

📝 Previously, I achieved publication in a leading scientific journal for my MSc Dissertation entitled “COVID-19 Vaccine Uptake and Hesitancy Survey in Northern Ireland and Republic of Ireland: Applying the Theory of Planned Behaviour.”

💼 Beyond my full-time research, I have founded Auxilium Education, a psychological consultancy through which I provide education to students of all levels and ages.

Experience👨‍🎓

Doctoral Student
Ulster University
Aug 2022 – Present (2 years 1 month)👨‍🏫 Private Consultant
Auxilium Education
Jan 2020 – Present (4 years 8 months)Private TuitionEmployability Consultations

Education🎓

Ulster University
Master of Science – MS, Health/Medical Psychology
2020 – 2021🎓 Ulster University
BSc, Psychology
Sep 2017 – Jun 2020

Skills

🧩 Data Collection🧠 Psychological Assessment🩺 Mental Health💬 Web Chat📈 Lead Generation💻 Software Sales📊 Sales and Marketing🗣️ Interpersonal Communication📣 Marketing Campaigns✍️ Content Marketing

Honors & Awards

🏆 PhD Scholarship
Department for the Economy
Sep 2022
Awarded a full PhD Scholarship to Ulster University including Maintenance Grant and Tuition Fees.

valuation of Matthew Cavanagh for Best Researcher Award

Strengths for the Award

  1. Strong Academic Foundation: Matthew has a solid academic background with a BSc in Psychology and an MSc in Health/Medical Psychology from Ulster University. His academic achievements are further supported by his PhD research.
  2. Relevant Research Focus: His PhD work on developing a Whole School Approach to supporting primary school students with dyslexia addresses a critical need in educational psychology, making his research highly relevant and impactful.
  3. Published Work: Matthew has demonstrated his research capabilities through publications in leading scientific journals. Notably, his work on “The theoretical and evidence-based components of whole school approaches: An international scoping review” and “COVID-19 Vaccine Uptake and Hesitancy Survey in Northern Ireland and Republic of Ireland: Applying the Theory of Planned Behaviour” shows his ability to conduct high-quality research.
  4. Entrepreneurial Initiative: Founding Auxilium Education, a psychological consultancy, showcases his initiative and ability to apply his research and knowledge in practical settings, providing education to students of all levels and ages.
  5. Recognition and Funding: Being awarded a full PhD scholarship by the Department for the Economy, which includes a maintenance grant and tuition fees, highlights the recognition of his potential and the value of his research by reputable institutions.

Areas for Improvement

  1. Broader Collaboration: While Matthew has significant individual achievements, expanding his collaborative efforts with other researchers and institutions could enhance the scope and impact of his work.
  2. Public Engagement: Increasing public engagement and dissemination of his research findings beyond academic circles could further highlight the practical applications and benefits of his work to a broader audience.
  3. Grant Acquisition Skills: Developing skills in securing additional research grants and funding from various sources can support the continuation and expansion of his research projects.
  4. Advanced Statistical Analysis: While he has demonstrated proficiency in data collection and analysis, further strengthening his skills in advanced statistical methods and software could enhance the robustness of his research findings.

Conclusion

Matthew Cavanagh is a strong candidate for the Best Researcher Award. His academic achievements, relevant research focus, and demonstrated ability to publish and apply his work in practical settings make him a deserving nominee. Addressing the identified areas for improvement can further solidify his standing as a leading researcher in the field of educational and health psychology. Overall, Matthew’s contributions to understanding and supporting primary school students with dyslexia, along with his entrepreneurial spirit and academic excellence, position him as a valuable asset to the research community.

✍️Publications Top Note :

1. Theoretical and Evidence-Based Components of Whole School Approaches: An International Scoping Review

Authors: Matthew Cavanagh, C. McDowell, U.O. Connor Bones, L. Taggart, P. Mulhall

Journal: Review of Education, 2024, 12(2), e3485

2. COVID-19 Vaccine Uptake and Hesitancy Survey in Northern Ireland and Republic of Ireland: Applying the Theory of Planned Behaviour

Authors: G. Breslin, M. Dempster, E. Berry, Matthew Cavanagh, N.C. Armstrong

Journal: PLoS ONE, 2021, 16(11), e0259381

Assoc Prof Dr. Yves Mbono Samba | Structural dynamics | Best Researcher Award

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Assoc Prof Dr. Yves Mbono Samba | Structural dynamics | Best Researcher Award

Assoc Prof Dr. Yves Mbono Samba, University of Yaounde 1, Cameroon

Assoc Prof Dr. Yves Mbono Samba is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Scopus

📚Education:

Doctorate in Mechanics, University of Paris 6 (June 1995)Diploma of Advanced Studies in Mechanics, University of Paris 6 (June 1991)Maîtrise (bachelor’s degree) in Mechanics, University of Paris 6 (September 1990)Degree in Physics, University of Paris Sud (June 1988)Diploma of General University Studies, Université Paris Sud (June 1986)

Experience:

Lecturer at University of Yaoundé 1 (since 1995)

Academic Achievements:

I have been actively involved in teaching, research, and student project supervision, guiding 7 PhD and 15 Master’s degree students over the years. My academic journey has been enriched by numerous publications and contributions to the field of mechanics.

1. Vortex Waves in Fluid–Structure Interaction with High Froude Number and a Damped Structure
Simo Kaptue, H., Ngou Zeufo, L., Mbono Samba, Y., Kofané, T.C.
Ocean Engineering, 2024, 306, 117946

2. Theoretical Analysis of Non-linear Dynamic Response of a Bridge Pier Under Two-phase Flow Excitation
Ngou, L.Z., Simo, H.K., Lekama, B.K., Fewo, S.I., Mbono Samba, Y.C.
Journal of Mechanical Science and Technology, 2023, 37(11), pp. 5683–5693

3. Examining Capillary Dynamics in Rectangular and Circular Conduits Subject to Unsteady Surface Tension
Azese, M.N., Engola, J.J., Hona, J., Yap, E.J., Mbono Samba, Y.C.
Journal of Fluid Mechanics, 2022, 949, A6

4. An Attempt to Study Foundation Anchoring Conditions in Sedimentary Estuaries Using Integrated Methods
Gounou Pokam, B.P., Domra Kana, J., Meli’i, J.L., Mbono Samba, Y.C., Njandjock Nouck, P.
Applied Sciences (Switzerland), 2022, 12(14), 7175

5. On the Existence and Determination of the Incompressible Laminar Flow Located in the Polar Plane of a Porous Annular Pipe
Makon, N.R., Ngo Nyobe, E., Lamara, M., Mbono Samba, Y.C., Pemha, E.
Alexandria Engineering Journal, 2022, 61(4), pp. 2637–2650

6. Effects of an External Constant Pressure Gradient on a Steady Incompressible Laminar Flow Through a Semi-porous Annular Pipe
Mbogba, G.L., Ngo Nyobe, E., Lamara, M., Mbono Samba, Y.C., Pemha, E.
Zeitschrift für Naturforschung – Section A Journal of Physical Sciences, 2022, 77(2), pp. 131–141

7. Dynamic Analysis and Numerical Simulation of Flexible Multibody Systems
Mbono Samba, Y.C., Pascal, M.
Mechanics of Structures and Machines, 2001, 29(3), pp. 295–316

Dr. Yong Wang | computational Award | Best Researcher Award

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Dr. Yong Wang | computational Award | Best Researcher Award

Dr. Yong Wang, Zhejiang University, China

Dr. Yong Wang is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

orcid

🎓 Teaching and Tutoring

Jury for International Biosensor Competition: SensUs 2023 (2023)Supervisor for TruSense, Zhejiang University (2021-)Teacher for Ingenious Synthetic Biology, Zhejiang University (2022-)Teaching Assistant for Advanced Protein Science 2 – Protein Structure Determination (graduate course), University of Copenhagen (2020, 2019)Teaching Assistant for Advanced Protein Science (graduate course), University of Copenhagen (2015)Tutor for Postdoc, PhD, MSc, and BSc students.

📝 Editorial Roles

Academic Editor for PLoS One (2023-)Associate Editor for Frontiers in Molecular Biosciences (2021-)Editorial Board Member of Peer J (2023-)Ad Hoc Young Editorial Board Member of Journal of Molecular Cell Biology (JMCB) (2020-)Second Youth Editorial Board Member of Asian Journal of Pharmaceutical Sciences (2023-)

🔍 Reviewer

Journal Reviewer for prestigious journals.Grant Reviewer for the Dutch Research Council (NWO) Computational Grants.

👥 Memberships

Member of the PLUMED ConsortiumMember of the American Society for Biochemistry and Molecular BiologyMember of Chinese Chemical Society

AWARDS & GRANTS🏆

Recognition for contributions:Zhejiang Provincial National Science Foundation (No. XXX) (300 K ¥) 2024-2026National Science Foundation of China (No. 32371300) (500 K ¥) 2024-2027Start-up funding of Zhejiang University (4.0 M ¥) 2021-2027National Key R & D Program of China (No. 2021YFF1200404) (4.55 M ¥) 2021-2024Fundamental Research Funds for the Central Universities of China (No. K20220228) (900 K ¥) 2022-2024HPC-Europa3 Transnational Access program for visiting Max Planck Institute for Biophysical Chemistry Spring of 2020EMBO Short-term Fellowship for visiting Prof. Michele Parrinello lab at ETH Zurich, Switzerland Spring of 2016The PhD Scholarship at the Department of Biology, University of Copenhagen (2013-2016)

Citations: 1547

h-index: 23

i10-index: 31

And if we consider the second set:

Citations: 1074

h-index: 21

i10-index: 30

📖 Publications  Top Note :

A Computational and Chemical Design Strategy for Manipulating Glycan-Protein Recognition

Q Zhu, D Geng, J Li, J Zhang, H Sun, Z Fan, J He, N Hao, Y Tian, L Wen, …

Advanced Science, 2024

Diverse roles of the metal binding domains and transport mechanism of copper transporting P-type ATPases

Z Guo, F Orädd, V Bågenholm, C Grønberg, JF Ma, P Ott, Y Wang, …

Nature Communications, 2609, 2024

Dissecting the mechanism of atlastin-mediated homotypic membrane fusion at the single-molecule level

L Shi, C Yang, M Zhang, K Li, K Wang, L Jiao, R Liu, Y Wang, M Li, …

Nature Communications, 2488, 2024

Euglena’s atypical respiratory chain adapts to the discoidal cristae and flexible metabolism

Z He, M Wu, H Tian, L Wang, Y Hu, F Han, J Zhou, Y Wang, L Zhou

Nature Communications, 1628, 2024

Structures and ion transport mechanisms of plant high-affinity potassium transporters

J Wang, Y Luo, F Ye, ZJ Ding, SJ Zheng, S Qiao, Y Wang, J Guo, W Yang, …

Molecular Plant, 2024

Structural basis for sugar perception by Drosophila gustatory receptors

D Ma, M Hu, X Yang, Q Liu, F Ye, W Cai, Y Wang, X Xu, S Chang, R Wang, …

Science, eadj2609, 2024

PAFAH2 suppresses synchronized ferroptosis to ameliorate acute kidney injury

Q Zhang, T Sun, F Yu, W Liu, J Gao, J Chen, H Zheng, J Liu, C Miao, …

Nature Chemical Biology, 1-12, 2024

Structure and mechanism of Zorya anti-phage defense system

H Hu, TCD Hughes, PF Popp, A Roa-Eguiara, FJO Martin, N Rutbeek, …

bioRxiv, 1, 2024

The effect of linker conformation on performance and stability of a two-domain lytic polysaccharide monooxygenase

Z Forsberg, AA Stepnov, G Tesei, Y Wang, E Buchinger, SK Kristiansen, …

Journal of Biological Chemistry, 299 (11), 2023

Ex vivo structures from spinach leaves

J Wang, NT Johansen, LF Gamon, Z Zhao, Z Guo, Y Wang, AT Fuglsang, …

biorxiv, 2023