Yuhuan Fei | Object Detection | Best Researcher Award

Assist Prof Dr. Yuhuan Fei | Object Detection | Best Researcher Award

Qufu Normal University | China

PUBLICATION PROFILE

Scopus

👤 Summary

Dr. Yuhuan Fei is an Associate Professor at Qufu Normal University, China, with a strong background in Machine Learning, Intelligent Manufacturing, and Ceramic Cutting Tools. He holds a Ph.D. in Mechanical Manufacturing and Automation and focuses on the development and performance of advanced ceramic cutting tools, material microstructure, and mechanical properties. Dr. Fei has made substantial contributions to scientific research, including numerous journal publications, patents, and participation in national research projects.

🎓 Education

Dr. Fei completed his Ph.D. in Mechanical Manufacturing and Automation at Shandong University in 2012, with a thesis on fabrication and cutting performance of Al2O3-TiC-TiN ceramic cutting tools. Prior to that, he earned a Master’s degree in Materials Processing Engineering from Northeastern University in 2007, focusing on the phase analysis of Ti-700 alloy. He also holds a Bachelor’s degree in Material Forming and Controlling Engineering, completed in 2004 at Northeastern University.

🧑‍🏫 Professional Experience

Dr. Fei has held various academic and professional positions. He served as a Visiting Scholar at McGill University from 2017 to 2018. Since 2013, he has been an Associate Professor at Qufu Normal University in Shandong Province. Before that, he worked as a Patent Examiner at the Patent Examination Cooperation Center (SIPO) in Jiangsu Province, focusing on intellectual property evaluations related to material sciences.

📚 Academic Citations

Dr. Fei has authored numerous papers in high-impact journals. Some of his most cited works include those published in the Journal of Real-Time Image Processing (2025), Journal of Ceramic Science and Technology (2021, 2019), and Ceramics International (2014). His research also appears in Materials Science and Engineering A, Rare Metal Materials and Engineering, and several other prestigious journals, significantly contributing to the fields of material science and engineering.

🛠️ Technical Skills

Dr. Fei’s technical expertise includes:

  • Advanced ceramic material development and cutting tool fabrication

  • Phase composition analysis and microstructure characterization of materials

  • Machine learning applications in intelligent manufacturing systems

  • Patent analysis and intellectual property research

👨‍🏫 Teaching Experience

Dr. Fei has an active teaching role at Qufu Normal University, where he imparts knowledge on material science and engineering, particularly focusing on ceramic cutting tools and intelligent manufacturing. He supervises graduate students, guiding them through research projects and theses, while also leading research seminars and educational workshops.

🔬 Research Interests

Dr. Fei’s primary research interests include:

  • Development of ceramic cutting tools for advanced manufacturing

  • Study of material processing techniques and phase transitions in cutting materials

  • Application of machine learning to optimize manufacturing processes

  • Investigation of mechanical properties and microstructural characteristics of ceramics

📚 Top Notes Publications 

The Influence of Ni Addition on the Microstructures and Mechanical Properties of Al2O3–TiN–TiC Ceramic Materials
    • Authors: Yuhuan Fei, Chuanzhen Huang, Hanlian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2018

Study on the Cutting Performance of Al2O3-TiC-TiN Ceramic Tool Materials
    • Authors: Yuhuan Fei, Chuan Zhen Huang, Han Lian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2016

On the Formation Mechanisms of Fine Granular Area (FGA) on the Fracture Surface for High Strength Steels in the VHCF Regime
    • Authors: Yong-De Li, Limin Zhang, Yuhuan Fei, Mei-Xia Li

    • Journal: Not mentioned in the provided text

    • Year: 2015

Mechanical Properties of Al2O3–TiC–TiN Ceramic Tool Materials
    • Authors: Yuhuan Fei, C.Z. Huang, H.L. Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2014

Establishment of the Low Defect Ceramic Cutting Tool Database
    • Authors: Chang Bin Zou, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2013

The Effects of Sintering Process on Microstructure and Mechanical Properties of TiB2-Ti(C0.5N0.5)-WC Composite Tool Materials
    • Authors: Yan Zhao, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2012

 

Ahmed Abdellah Nasr Ahmed | Monitoring analysis | Best Researcher Award

Dr. Ahmed Abdellah Nasr Ahmed | Monitoring analysis | Best Researcher Award

Tsinghua University | China

PUBLICATION PROFILE:

Scopus

Orcid

👨‍🎓 Summary:

Dr. Ahmed Abdellah Nasr is an accomplished researcher and engineer specializing in civil engineering with a focus on green concrete, structural systems, and hydraulic structures. He holds a PhD from Tsinghua University, China, and has extensive academic and professional experience in concrete technology, structural engineering, and sustainable construction practices. His research aims to develop innovative materials like self-compacting concrete and low-carbon technologies for use in environmentally friendly infrastructure projects.

🎓 Education:

Dr. Nasr completed his Doctor of Philosophy in Civil Engineering at Tsinghua University, Beijing, China (2018–2022), with a focus on “Behavior of Self-Protected Underwater Concrete in Freshwater and Seawater,” earning a GPA of 3.7/4. He also holds a Master of Science in Civil Engineering from Cairo University, Egypt (2014–2017), where he ranked #4 in his class and worked on precast concrete slab-column connections. His undergraduate degree in Civil Engineering was also obtained from Cairo University (2008–2013), where he designed structural projects, including a high-rise building.

đź’Ľ Professional Experience:

Dr. Nasr is currently a Postdoctoral Research Fellow at Tsinghua University (2023–present). He also holds a position as a researcher at the National Water Research Center, Egypt (2016–present). His past roles include teaching assistant and research assistant at Tsinghua University (2018–2022), senior structural engineer at CIVECON (2016–2018), and various engineering roles in consulting firms in Egypt.

📚 Academic Citations & Conferences:

Dr. Nasr has participated in major international conferences, such as the International Hydropower Development Conference (Beijing, 2024), the International Commission on Large Dams Forum (2024), and the Mediterranean Water Forum (2018). His research has been featured in preprints and publications, including journals like Journal of Materials in Civil Engineering and Construction and Building Materials.

đź”§ Technical Skills:

Dr. Nasr is proficient in a range of engineering and analytical software, including Python, SAP, SAFE, ETABS, RAM, Revit, and AutoCAD. He also has expertise in structural analysis, dynamic properties of materials, and monitoring systems for concrete structures.

👩‍🏫 Teaching Experience:

Dr. Nasr has taught courses such as Advanced Construction Materials, Concrete and Hydraulic Structures, and Steel Structures at both Tsinghua University and Modern Academy in Cairo. He has been involved in both teaching and research mentoring at the graduate level.

🔬 Research Interests:

His research interests encompass green concrete, low-carbon materials, rock-filled concrete, and self-compacting underwater concrete. He focuses on developing sustainable construction solutions like cemented riprap breakwaters and monitoring structural health in precast concrete systems, with a special interest in environmental impact and material performance under dynamic conditions.

📚 Top Notes Publications:

Monitoring the Flow Patterns of High Performance Self-Compacting Concrete in the Voids of Sloped Rock-Filled Concrete Structures
    • Authors: Ahmed A. Nasr, Baizhi Wang, Songgui Chen, Feng Jin

    • Journal: Ain Shams Engineering Journal

    • Year: 2025

Assessing of the punching capability of developed slab-column connections in precast concrete flat slabs
    • Authors: Ahmed A. Nasr, Khaled El-Kashif, Yehia Hussein, Nabeel Abdelbadee

    • Journal: International Journal of Structural Engineering

    • Year: 2024

Filling performance of self-protecting underwater mortar filled with aggregate interstices in the water environment
    • Authors: Baizhi Wang, Ning Zhuang, Songgui Chen, Ahmed A. Nasr, Feng Jin

    • Journal: Construction and Building Materials

    • Year: 2024

Experimental study on the slump-flow underwater for anti-washout concrete
    • Authors: Yang Wang, Songgui Chen, Liuchao Qiu, Ahmed A. Nasr, Yi Liu

    • Journal: Construction and Building Materials

    • Year: 2023

Influence of water currents velocity on the strength of a new underwater concrete approach
    • Authors: Ahmed A. Nasr, Songgui Chen, Yang Wang, Feng Jin, Liu-Chao Qiu

    • Journal: Construction and Building Materials

    • Year: 2022

 

Snehal Laddha | Medical Image Analysis | Best Researcher Award

Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

Publication Profile

Google Scholar

INTRODUCTION 🌟

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS 📚

Snehal’s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS 👩‍🏫

Snehal’s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUS  ON MEDICAL IMAGE ANALYSIS💡

A passionate researcher, Snehal’s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE 🌍

Snehal’s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS đź“‘

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS 🏆

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE ✨

Ms. Snehal Laddha’s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS 📚

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024

Nianzhang Zhang | Optimization Techniques | Best Researcher Award

Assoc Prof Dr. Nianzhang Zhang | Optimization Techniques | Best Researcher Award

Lanzhou Veterinary Research Institute, China

Author Profiles

Scopus

Research Gate

Early Academic Pursuits 🎓

Dr. Nianzhang Zhang’s academic journey began with a BSc in Veterinary Science from Qingdao Agricultural University (2004-2008), followed by an MVSc (2008-2011) and PhD (2011-2014) from the Chinese Academy of Agricultural Sciences (CAAS). His studies laid a strong foundation for his expertise in preventive veterinary science, molecular biology, and immunology, particularly in zoonotic parasitic diseases.

Professional Endeavors 🏢

 Dr. Zhang has been a key member of the Lanzhou Veterinary Research Institute (LVRI) at the Chinese Academy of Agricultural Sciences. He began as an Assistant Professor, advancing to Associate Professor in 2018. Dr. Zhang’s roles at the institute also include serving as the Deputy Director of the Science and Technology Management Office since November 2022, overseeing research initiatives and contributing to the development of new scientific strategies.

Contributions and Research Focus 🔬

Dr. Zhang’s research is focused on the molecular biology and immunology of zoonotic parasitic diseases, such as toxoplasmosis, trichinellosis, and echinococcosis. His work explores the parasite-host interactions, co-infections with parasites and viruses, and functional omics, particularly related to Toxoplasma gondii and Trichinella spiralis. Additionally, he has contributed to the epidemiology of these diseases and the development of diagnostic reagents and vaccines, marking significant progress in veterinary medicine.

Impact and Influence 🌍

Dr. Zhang’s research has significantly influenced the field of preventive veterinary science, particularly in the fight against zoonotic parasitic diseases. His contributions have not only advanced scientific understanding but also improved diagnostic and preventive strategies, benefiting both animal health and public safety. His work continues to be pivotal in shaping veterinary practices related to parasitic infections.

Academic Cites 📚

Dr. Zhang’s work has been widely cited in academic journals, reflecting his influence in the fields of veterinary science, molecular biology, and immunology. His research on Toxoplasma gondii and Trichinella spiralis has garnered attention globally, contributing to the development of new approaches for tackling parasitic diseases.

Technical Skills ⚙️

a robust foundation in molecular biology and immunology, Dr. Zhang possesses advanced technical skills in the fields of parasite genetics, parasite-virus interactions, and functional omics. His expertise includes advanced laboratory techniques in molecular diagnostics, the development of diagnostic reagents, and the creation of vaccines for parasitic diseases.

Teaching Experience 🧑‍🏫

As an educator, Dr. Zhang has imparted his knowledge and expertise to undergraduate and graduate students at Lanzhou Veterinary Research Institute. His role as an Assistant and Associate Professor has allowed him to mentor future researchers and veterinarians, contributing to the growth of the academic community in veterinary science and parasitology.

Legacy and Future Contributions 🌱

Dr. Zhang’s legacy is defined by his pioneering research in the molecular biology of zoonotic parasitic diseases, his efforts in the development of vaccines and diagnostic tools, and his ongoing contribution to the field of veterinary science. Moving forward, Dr. Zhang aims to further explore the complexities of parasite-host interactions and to develop more effective strategies for combating parasitic diseases, cementing his role as a leader in global veterinary health.

Top Noted Publications đź“–

The transcription factor AP2XI-2 is a key negative regulator of Toxoplasma gondii merogony
  • Authors: Wang, J.-L., Li, T.-T., Zhang, N.-Z., Elsheikha, H.M., Zhu, X.-Q.
    Journal: Nature Communications
    Year: 2024
Global profiling of protein S-palmitoylation in the second-generation merozoites of Eimeria tenella
  • Authors: Qu, Z., Li, Y., Li, W., Mi, X., Fu, B.
    Journal: Parasitology Research
    Year: 2024
Occurrence of Trichinella spiralis in farmed wild boars (Sus scrofa): An underrated risk in China
  • Authors: Zhang, N.-Z., Wang, M., Chen, W.-G., Thuy, N.T.B., Fu, B.-Q.
    Journal: Parasitology
    Year: 2024
Infection of sheep by Echinococcus multilocularis in Gansu, China: evidence from mitochondrial and nuclear DNA analysis
  • Authors: Shumuye, N.A., Li, L., Li, W.-H., Yan, H.-B., Jia, W.-Z.
    Journal: Infectious Diseases of Poverty
    Year: 2023
A Strainer-Based Platform for the Collection and Immunolabeling of Porcine Epidemic Diarrhea Virus-Infected Porcine Intestinal Organoid
  • Authors: Liu, Y., Tan, J., Zhang, N., Li, W., Fu, B.
    Journal: International Journal of Molecular Sciences
    Year: 2023