Zhen Lu | Spatial Structures | Best Researcher Award

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Dr. Zhen Lu | Spatial Structures | Best Researcher Award

postdoctor.  Tsinghua University,China.

Dr. Zhen Lu is a postdoctoral researcher at Tsinghua University, China. His research focuses on [specific research areas, if known], contributing to advancements in [relevant field, e.g., renewable energy, AI, materials science, etc.]. He has published in leading journals and actively collaborates on interdisciplinary projects.

Publication Profile

Scopus

Academic and Professional Background :

Zhen Lu is a dedicated researcher specializing in the mechanical properties of steel structures and long-span spatial structures. With a strong academic foundation, Zhen has published over ten high-impact papers in reputed journals such as the Journal of Building Engineering and the Journal of Constructional Steel Research. His expertise and contributions to structural engineering have earned him two national or provincial-ministerial level academic awards, reflecting his excellence in research and innovation.

Research and Innovations:

Zhen Lu has actively participated in nine completed or ongoing research projects, contributing significantly to the field of long-span spatial structures. His research has gained recognition, with a citation index of 82 in renowned scientific databases. Apart from academic research, he has also engaged in nine consultancy and industry-sponsored projects, demonstrating a strong connection between theoretical advancements and real-world applications.,As an author, he has published one book with an ISBN and contributed to the development of new knowledge in the field. Additionally, he holds one patent, which highlights his innovative approach to solving technical challenges in structural engineering. His publication record includes ten SCI and Scopus-indexed journal papers.,Zhen has actively collaborated on significant projects, including research for a large-scale stadium, enhancing practical applications of his theoretical findings. He is a member of prestigious professional organizations such as the Association for Spatial Structures and the China Steel Construction Society, reinforcing his commitment to continuous learning and collaboration.

Areas of Research :

Zhen Lu’s research primarily focuses on the static performance of long-span spatial structures, seismic response analysis of long-span spatial structures, and design methods for steel structures. His work aims to improve the safety, durability, and efficiency of large-scale steel structures, ensuring their resilience under various environmental and load conditions.

Awards:

Zhen Lu has received two prestigious national or provincial-ministerial level academic awards for his outstanding contributions to research in structural engineering.

 

Publication :

Shaking table test on suspend-dome structure with the center-hung scoreboard under three-dimensional seismic
 Conclusion

Zhen Lu is a strong candidate for the Best Researcher Award based on significant research contributions in structural engineering, impactful journal publications, industry projects, and innovative design methodologies. The practical applications of their research, especially in long-span spatial structures and steel structures, make a compelling case.

 

 

A. Hasib Uddin |Image Analysis |Best Researcher Award

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Mr . A. Hasib Uddin |Image Analysis |Best Researcher Award

Mr .A. Hasib Uddin ,Khwaja Yunus Ali University,Bangladesh

Mr. A. Hasib Uddin is an esteemed member of Khwaja Yunus Ali University in Bangladesh. With a dedication to education, he contributes to the academic community in various capacities. As a researcher, educator, or administrator, his commitment to fostering knowledge and innovation is evident. His endeavors in academia reflect his passion for advancing learning and shaping the future of students.

 

Professional Profiles:

Google Scholar

Scopus

Orcid 

Education :

Apr. 2022 Master of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Plant-species Recognition from Leaf and Bark Images using Neural Networks (DOI: 10.13140/RG.2.2.35565.87520)

Jan. 2015 to Jan. 2019 Bachelor of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Depression Analysis from Social Media Data in Bangla Language

Apr. 2019 to Jul. 2020 Research Assistant,
Shiram System Limited, Khulna, Bangladesh

 

Work Experience:

Jan. 2022 to Present Lecturer, Department of Computer Science and Engineering,
Khwaja Yunus Ali University, Sirajganj, Rajshahi, Bangladesh

Peer Review Activity:

  • Connection Science (2 manuscripts)
  • Journal of Advanced Research in Applied Sciences and Engineering Technology (2 manuscripts)
  • TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
  • Biodiversitas, Journal of Biological Diversity

Scholarships:

ICT Fellowship (M.Sc), July 2021- June 2022
Awarded by the division of Information and Communication Technology (ICT), Ministry of Posts, Telecommunications and Information Technology, Government of the People’s Republic of Bangladesh.

Publications:

  1. A.H. Uddin, Y.-L. Chen, B. Borkatullah, M. S. Khatun, J. Ferdous, P. Mahmud, J. Yang, C. S. Ku, and L. Y. Por, “Deep-Learning-Based Classification of Bangladeshi Medicinal Plants Using Neural Ensemble Models,” Mathematics, vol. 11, no. 16, p. 3504, 2023. DOI: 10.3390/math11163504
  2. B. Borkatulla, J. Ferdous, A. H. Uddin, and P. Mahmud, “Bangladeshi medicinal plant dataset,” Data in Brief, vol. 48, pp. 109211, 2023. DOI: 10.1016/j.dib.2023.109211
  3. M. Alom, M. Y. Ali, W. Rahman, A. H. Uddin, and M. T. Islam, “Species Classification of Brassica Napus Based on Flowers, Leaves, and Packets Using Deep Neural Networks,” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100658
  4. A.A. Hridoy, G. M. Shakil, W. Rahman, A. H. Uddin, and M. T. Islam, “An advanced Bangladeshi local fish classification system based on the combination of Deep Learning and the Internet of Things (IoT),” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100663

A. Hasib Uddin |Image Analysis |Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Mr . A. Hasib Uddin |Image Analysis |Best Researcher Award

Mr .A. Hasib Uddin ,Khwaja Yunus Ali University,Bangladesh

Mr. A. Hasib Uddin is an esteemed member of Khwaja Yunus Ali University in Bangladesh. With a dedication to education, he contributes to the academic community in various capacities. As a researcher, educator, or administrator, his commitment to fostering knowledge and innovation is evident. His endeavors in academia reflect his passion for advancing learning and shaping the future of students.

 

Professional Profiles:

Google Scholar

Scopus

Orcid 

Education :

Apr. 2022 Master of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Plant-species Recognition from Leaf and Bark Images using Neural Networks (DOI: 10.13140/RG.2.2.35565.87520)

Jan. 2015 to Jan. 2019 Bachelor of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Depression Analysis from Social Media Data in Bangla Language

Apr. 2019 to Jul. 2020 Research Assistant,
Shiram System Limited, Khulna, Bangladesh

 

Work Experience:

Jan. 2022 to Present Lecturer, Department of Computer Science and Engineering,
Khwaja Yunus Ali University, Sirajganj, Rajshahi, Bangladesh

Peer Review Activity:

  • Connection Science (2 manuscripts)
  • Journal of Advanced Research in Applied Sciences and Engineering Technology (2 manuscripts)
  • TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
  • Biodiversitas, Journal of Biological Diversity

Scholarships:

ICT Fellowship (M.Sc), July 2021- June 2022
Awarded by the division of Information and Communication Technology (ICT), Ministry of Posts, Telecommunications and Information Technology, Government of the People’s Republic of Bangladesh.

Publications:

  1. A.H. Uddin, Y.-L. Chen, B. Borkatullah, M. S. Khatun, J. Ferdous, P. Mahmud, J. Yang, C. S. Ku, and L. Y. Por, “Deep-Learning-Based Classification of Bangladeshi Medicinal Plants Using Neural Ensemble Models,” Mathematics, vol. 11, no. 16, p. 3504, 2023. DOI: 10.3390/math11163504
  2. B. Borkatulla, J. Ferdous, A. H. Uddin, and P. Mahmud, “Bangladeshi medicinal plant dataset,” Data in Brief, vol. 48, pp. 109211, 2023. DOI: 10.1016/j.dib.2023.109211
  3. M. Alom, M. Y. Ali, W. Rahman, A. H. Uddin, and M. T. Islam, “Species Classification of Brassica Napus Based on Flowers, Leaves, and Packets Using Deep Neural Networks,” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100658
  4. A.A. Hridoy, G. M. Shakil, W. Rahman, A. H. Uddin, and M. T. Islam, “An advanced Bangladeshi local fish classification system based on the combination of Deep Learning and the Internet of Things (IoT),” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100663