Saheed Ogundiran |Fluid Dynamics|Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/cad-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 201

Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/cad-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 202

Dr.Saheed Ogundiran |Fluid Dynamics|Best Researcher Award

Student, Ladoke Akintola University of Technology.Nigeria

Summary:

Dr. Saheed Ogundiran is a dedicated academic with a robust educational background and extensive teaching experience. His research in Computational Fluid Mechanics and Reactive Combustion is crucial for advancements in applied mathematics and engineering sciences. His strengths lie in his dedication, communication skills, and ability to engage with teams for achieving research goals.

 

Professional Profiles:

Scopus

šŸŽ“ Education :

Nawarudeen Primary School, Oluwole, Iseyin (1987ā€“1992),Koso Community Grammar School, Koso, Iseyin (1992ā€“1998),Oyo State College of Education, Oyo (2000ā€“2003),Ekiti State University (EKSU), Ado-Ekiti (2006ā€“2009),Ladoke Akintola University of Technology, Ogbomoso (2013ā€“2016),Ladoke Akintola University of Technology, Ogbomoso (2019ā€“2024)

 

šŸ¢Ā Experience:

Highly intelligent and passionate about sharing knowledge with a focus on personal and organizational development. Possess excellent communication skills and strong interpersonal abilities, ensuring effective collaboration in team-oriented environments. Dedicated, motivated, and open to superior authority instructions, with a reward-focused approach to achieving organizational goals.

 

Research Focus :

Specializes in Computational Fluid Mechanics and Reactive Combustion Fluid.

 

šŸ”¬skills:

  • Strong, fluent English communication (written, oral, and presentation)
  • Analytical and critical thinking skills
Conclusion:

Dr. Saheed Ogundiran is a promising researcher whose focus on applied mathematics and computational fluid mechanics positions him well for impactful contributions in his field. By focusing on increasing research output and collaborating more widely, he can further establish his presence as a leading academic in his specialization.

Ā Publications:

Unsteady mixed convective flow of Casson nanofluid in a vertical porous plate with slip and temperature jump condition
  • Authors: Ajala, O.A., Ogundiran, S.D., Salawu, S.O.
  • Journal: Results in Engineering
  • Volume: 24
  • Year: 2024
  • Article Number: 103584
  • DOI: Not available in the query.
2. Radiating and Joule heating on heat and mass transfer of magnetized tiny particles in tangent hyperbolic nonlinear porosity flow with Riga plate and Arrhenius reaction
  • Authors: Salawu, S.O., Fatunmbi, E.O., Kareem, R.A., Akinmoladun, O.M., Ogundiran, S.D.
  • Journal: Partial Differential Equations in Applied Mathematics
  • Volume: 11
  • Year: 2024
  • Article Number: 100840
  • DOI: Not available in the query.
3. Entropy Generation Minimization for Radiative Casson Fluid Flow Through Permeable Walls and Convective Heating: A Comprehensive Numerical Investigation
  • Authors: Obalalu, A.M., Ajala, A.O., Akindele, A.O., Salaudeen, K.A., Alao, S.
  • Journal: Defect and Diffusion Forum
  • Volume: 415 DDF
  • Year: 2022
  • Citations: 5

Zheng Dong |Industrial engineering|Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/cad-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 201

Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/cad-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 202

Dr.Zheng Dong |Industrial engineering|Best Researcher Award

Lecturer, Zhejiang University of Technology, China

Summary:

Dr. Zheng Dong is a highly qualified researcher with a strong academic background and notable contributions to the field of construction materials and corrosion science. His dual Ph.D. qualifications, prestigious postdoctoral fellowship at ETH Zurich, and active participation in professional communities demonstrate both expertise and global recognition. Dr. Dongā€™s leadership in funded research projects further highlights his ability to address critical challenges in civil engineering materials.

 

Professional Profiles:

Google Scholar

šŸŽ“ Education :

Ph.D. Construction Materials,Clemson University, Clemson, US (August 2018 ā€“ August 2020),Supervised by Prof. Dr. Amir Poursaee, this program focused on advanced construction materials, exploring innovative approaches to enhance material performance.,h.D. Civil Engineering,Tongji University, Shanghai, China (September 2014 ā€“ June 2021),Supervised by Prof. Dr. Xiang-Lin Gu, this program emphasized in-depth research in civil engineering materials and structural analysis, contributing to advancements in durability and design.,B.S. Civil Engineering,Hefei University of Technology, Hefei, China (September 2010 ā€“ August 2014),Graduated with a GPA of 3.74/4.3, ranking 1st among 287 peers, reflecting academic excellence and a robust foundation in civil engineering principles.

 

šŸ¢Ā Experience:

Postdoctoral Fellow
Institute for Building Materials, ETH Zurich (December 2023 ā€“ Present),Currently conducting advanced research on material durability and corrosion mechanisms under the guidance of Prof. Dr. Ueli Angst, supported by the China Scholarship Council.,Lecturer/Research Associate,College of Civil Engineering, Zhejiang University of Technology (July 2021 ā€“ Present),Involved in teaching and research with a focus on corrosion mechanisms, material performance, and long-term durability in challenging environments.

 

Research Focus :

Corrosion and Corrosion Control,Investigating the electrochemical behavior of steel and additive-manufactured steel, focusing on innovative mitigation techniques in diverse environments.,Coatings,Analyzing the degradation mechanisms of coatings on steel surfaces and their performance under mechanical and environmental stressors.,Steel in Concrete,Studying the passivation and depassivation behavior of steel in concrete subjected to simultaneous mechanical loads and corrosive environments, aiming to improve material lifespan.

 

šŸ”¬Awards:

Post-Doctoral Fellow Fund, China Scholarship Council (2023),David Rozendale Emerging Leaders Fellowship (2020),Graduate Assistantships, Clemson University (2018ā€“2020),Scholarship under the State Scholarship Fund, China Scholarship Council (2018),Multiple Academic Excellence Scholarships and National Merit Scholarships during undergraduate and graduate studies

Conclusion:

Dr. Zheng Dong is a strong candidate for the Research for Best Researcher Award due to his robust educational background, impactful research contributions, and active involvement in the academic and professional community. However, to maximize his competitiveness, emphasizing measurable achievements like publication metrics, collaborative efforts, and practical applications of his research would be beneficial.

Ā Publications:

  • Title: Experimental and numerical investigations on the rate-limiting step for macrocell corrosion of reinforcing steel in concrete
    Citations: 35
    Year: 2022
    Authors: Z Dong, XL Gu, ZH Jin, A Poursaee, H Ye

 

  • Title: Corrosion of stirrups under different relative humidity conditions in concrete exposed to chloride environment
    Citations: 35
    Year: 2020
    Authors: XL Gu, Z Dong, Q Yuan, WP Zhang

 

  • Title: Corrosion behavior of coupled active and passive reinforcing steels in simulated concrete pore solution
    Citations: 32
    Year: 2020
    Authors: Z Dong, A Poursaee

 

  • Title: Experimental and numerical study of an electromagnetic sensor for non-destructive evaluation of steel corrosion in concrete
    Citations: 30
    Year: 2020
    Authors: C Fu, J Huang, Z Dong, W Yan, XL Gu

 

  • Title: Effects of reinforcement corrosion and sustained load on mechanical behavior of reinforced concrete columns
    Citations: 19
    Year: 2022
    Authors: Q Li, Z Dong, Q He, C Fu, X Jin

 

  • Title: Influence of cyclic dryingā€“wetting and carbonation on oxygen diffusivity of cementitious materials: Interpretation from the perspective of microstructure
    Citations: 18
    Year: 2022
    Authors: R He, S Li, C Fu, K Zhou, Z Dong

 

  • Title: Harmonic analysis on the effect of potential perturbations and electrodes arrangements on the electrochemical impedance (EIS) measurement of cementitious material
    Citations: 17
    Year: 2021
    Authors: Z Dong, H Torbati-Sarraf, HZ Hussein, A Poursaee

 

  • Title: Shear behavior of reinforced concrete beams subjected to accelerated non-uniform corrosion
    Citations: 12
    Year: 2023
    Authors: C Fu, J Huang, Z Dong, C Song, Y Zhang

 

  • Title: Macro-cell corrosion between crossed steel bars in cracked concrete
    Citations: 10
    Year: 2022
    Authors: ZH Jin, C Jiang, XL Gu, Z Dong

 

  • Title: Evaluation of nonuniform corrosion of steel in concrete based on two-yoke magnetic sensor
    Citations: 8
    Year: 2022
    Authors: J Huang, Z Dong, C Fu, T Qiu, C Liu, Z Li, X Che

 

  • Title: Effect of stress on the critical chloride content of steel bar in simulated concrete pore solution
    Citations: 7
    Year: 2023
    Authors: Z Dong, C Fu, C Lu, XR NĆ³voa, H Ye

 

  • Title: Galvanic corrosion study between tensile-stressed and non-stressed carbon steels in simulated concrete pore solution
    Citations: 7
    Year: 2022
    Authors: Z Dong, C Fu, A Poursaee

 

  • Title: Macrocell corrosion between crossed steel rebars embedded in concrete under chloride environments
    Citations: 7
    Year: 2018
    Authors: X Gu, Z Dong, Z Jin

 

  • Title: Macrocell corrosion of steel in concrete under carbonation, internal chloride admixing and accelerated chloride penetration conditions
    Citations: 5
    Year: 2021
    Authors: Z Jiang, S Li, C Fu, Z Dong, X Zhang, N Jin, T Xia

 

  • Title: Microstructure and corrosion behavior of structural steel fabricated by wire arc additive manufacturing (WAAM)
    Citations: 3
    Year: 2024
    Authors: Z Dong, H Torbati-Sarraf, C Huang, K Xu, XL Gu, C Fu, X Liu, Z Meng

 

  • Title: Determining the optimal frequency and perturbation amplitude for AC electrical resistance measurements of cement-based materials using harmonic analysis
    Citations: 3
    Year: 2022
    Authors: Z Dong, H Torbati-Sarraf, A Poursaee

 

  • Title: A novel method to measure the actual corrosion resistance/rate of steel reinforcement during impressed-current accelerated corrosion test
    Citations: 2
    Year: 2024
    Authors: JY Hu, YJ Liu, Z Dong, SS Zhang

 

  • Title: Rust Distribution of Non-Uniform Steel Corrosion Induced by Impressed Current Method
    Citations: 2
    Year: 2022
    Authors: Q Li, Z Gao, T Yang, Z Dong, Z Jiang, Q He, C Fu

 

  • Title: Experimental and numerical study of macro-cell corrosion between crossed steel bars
    Citations: 2
    Year: 2019
    Authors: Z Dong, X Gu, Z Jin

 

  • Title: Analysis of Circumferential and Longitudinal Non-Uniformity of Steel Corrosion in Concrete Subjected to Mechanical Load
    Citations: 1
    Year: 2024
    Authors: B Wu, K Xu, M Yang, Z Dong, J Shao, C Fu, W Ni

 

Guoqing Wang | Industrial engineering Award | Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/cad-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 201

Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/cad-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 202

Prof.Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang,University of Electronic Science and Technology of China, China

Dr. Guoqing Wang is a distinguished professor at the University of Electronic Science and Technology of China (UESTC), located in Chengdu, Sichuan Province, China. He holds expertise in the field of electronic engineering, particularly in the areas of signal processing, communication systems, and wireless networks. With numerous publications and research contributions to his name, Dr. Wang is recognized for his innovative approaches to solving complex problems in telecommunications. He plays a pivotal role in advancing both academic and industrial research endeavors, fostering collaboration and driving technological advancements in China’s electronic engineering landscape.

Professional Profiles:

Scopus

Education:

Ph.D. in Computer Science and Engineering (Sep. 2017 – Jan. 2021,Advisors: Dr. Changming Sun, Prof. Arcot Sowmya,Thesis: “Unbiased Representation Learning Networks for Single Rainy Image ,M.S. in Control Engineering (Sep. 2014 – Jul. 2017)

Research Interests:

  • Machine Learning:
    • Self-/semi-/un- supervised learning and few-shot learning
    • Domain adaptation, meta-learning, and multi-task learning
    • Network interpretation and optimization

    Computer Vision:

    • Holistic image/video understanding, including classification, generation, restoration, salient object detection, semantic segmentation, depth estimation, etc.
    • Adversarial attack mitigation
    • Network compression, neural architecture search, and efficient network routing

Honors and Awards:

  • National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas)
  • Deanā€™s Award for Outstanding PhD Theses
  • Tecent Open Fund for Excellent Young Scholar
  • ICCV Student Travel Grant
  • UNSW Postgraduate Research Student Support (PRSS) Scholarship
  • UNSW/CSIRO Postgraduate Scholarships
  • Best Master Dissertation of Jiangsu Province (2022)

 

Publications:

    • 1. Enhanced Context Encoding for Single Image Raindrop Removal
      • Authors: Guoqing Wang, Yang Yang*, Xing Xu, Jingjing Li, HengTao Shen
      • Published in: Science in China (Technological Sciences), 2021
      • [pdf]

      2. Attentive Feature Refinement Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      3. Context-enhanced Representation Learning for Single Image De-Raining

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: International Journal of Computer Vision, 2020
      • [pdf]

      4. Cascaded Attention Guidance Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      5. Multi-Scale Deep Representation Aggregation for Vein Recognition

      • Authors: Zaiyu Pan, Jun Wang*, Guoqing Wang, Jihong Zhu
      • Published in: IEEE Transactions on Information Forensics and Security, 2020
      • [pdf]

      6. Learning a Compact Vein Discrimination Model With GAN-erated Samples

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      7. Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      8. Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      9. Minutiae Based Weighting Aggregation of Deep Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Kai Yang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      10. Gender Attribute Mining with Hand Dorsa Vein Image Based on Unsupervised Sparse Feature Learning

      • Authors: Jun Wang, Guoqing Wang*, Zaiyu Pan
      • Published in: IEICE Transactions on Information and Systems, 2018