Weiyang Chen | image processing | Best Researcher Award

Posted on by ScienceFather

Dr. Weiyang Chen | image processing | Best Researcher Award

Qufu Normal University | China

Publication Profile

Scopus

🎓 EARLY ACADEMIC PURSUITS

Dr. Weiyang Chen began his academic journey with a strong foundation in science and technology, culminating in a Ph.D. from the Chinese Academy of Sciences in 2015. His early academic work laid the groundwork for his future focus on image processing, data analysis, and bioinformatics.

💼 PROFESSIONAL ENDEAVORS

Currently an Associate Professor at the School of Cyber Science and Engineering, Qufu Normal University, Dr. Chen has significantly contributed to both teaching and research. He has participated in 5 consultancy or industry-sponsored projects and holds key roles, such as Deputy Secretary General of the Cloud Computing and Big Data Committee and Bentham Ambassador.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Chen’s research spans bioinformatics, video and image processing, and algorithm development. He has authored over 50 publications, holds 12 patents, and developed several software applications. He has completed or is currently conducting 8 research projects, reflecting his leadership and innovation.

🌍 IMPACT AND INFLUENCE

His research has been featured in international media including TIME, The Guardian, NewScientist, Science News, and Daily Mail. With an h-index of 16 on ResearchGate, his work has a strong academic footprint and public engagement.

📚 ACADEMIC CITES AND RECOGNITION

Dr. Chen has published 38 articles in SCI and Scopus-indexed journals. He has served on 6 academic conference committees and contributes to scientific discourse through his profiles at ResearchGate and his university homepage.

🤝 COLLABORATIONS AND NETWORKS

He collaborates with distinguished scholars like Professor Jingdong Han (Peking University) and Dr. Yi Pan, a Fellow of numerous international academies and engineering institutes. These partnerships enhance the quality and visibility of his research.

🏆 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Chen aims to further explore bioinformatics and artificial intelligence, with a focus on real-world applications. His work in software development, interdisciplinary research, and professional service ensures his lasting academic legacy and continuing innovation.

🥇 AWARD PREFERENCE

For his outstanding achievements and global impact, Dr. Weiyang Chen is a strong nominee for the Best Researcher Award.

📚 TOP NOTES PUBLICATIONS

📄 1. A high precision method of segmenting complex postures in Caenorhabditis elegans and deep phenotyping to analyze lifespan

  • Authors: Bingyue Dong, Weiyang Chen

  • Journal: Scientific Reports

  • Year: 2025

📄 2. Exploring the relationship among Alzheimer’s disease, aging and cognitive scores through neuroimaging-based approach

  • Authors: Jinhui Sun, Jingdong Jackie Han, Weiyang Chen

  • Journal: Scientific Reports

  • Year: 2024

📄 3. An automatic measurement method for the response of Caenorhabditis elegans to chemicals

  • Authors: Nan Zhang, Yanmin Nie, Bingyue Dong, Weiyang Chen, Shan Gao

  • Journal: Technology and Health Care
    (Official Journal of the European Society for Engineering and Medicine)

  • Year: 2024

📄 4. Automated recognition and analysis of body bending behavior in C. elegans

  • Authors: Hui Zhang, Weiyang Chen

  • Journal: BMC Bioinformatics

  • Year: 2023

Min Cao | multimodal learning | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Min Cao | multimodal learning | Best Researcher Award

Soochow University | China

Publication Profile

Scopus

👨‍🏫 Professional Summary

Dr. Min Cao is currently an Associate Professor at the School of Computer Science and Technology, Soochow University, where he also serves as Assistant to the Dean at the Artificial Intelligence Research Institute. He is a core contributor in the field of computer vision, particularly in multimodal learning, text-based person retrieval, and person re-identification. With over 22 published papers—including in top-tier journals (SCI Q1) and prestigious conferences such as AAAI, IJCAI, and ICCV—Dr. Cao has established himself as a leading researcher. He is the recipient of multiple research grants and holds 8 authorized invention patents. Actively involved in academic service, he is the Deputy Secretary-General of the Computer Vision Special Committee of the Shanghai Computer Society and an Executive Member of CCF Suzhou.

🎓 Education

Dr. Cao received his Ph.D. in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences (2016–2020), under the supervision of Professor Silong Peng. Prior to that, he completed his bachelor’s degree in Electronic Information Engineering at Tianjin Polytechnic University in 2014.

💼 Professional Experience

He began his academic career as an Assistant Professor at Soochow University from March 2020 to September 2023, before being promoted to Associate Professor in October 2023. In addition, Dr. Cao was a visiting scholar at the Fraunhofer Institute for Image Data Processing in Germany from 2018 to 2019, where he conducted cutting-edge research in image analysis.

🔬 Research Interests

Dr. Cao’s research interests span across multimodal learning, text-based person search, person re-identification, graph neural networks, and cross-modal retrieval systems. His work aims to enhance retrieval performance in low-source and open-world environments.

📚 Academic Contributions

He has published 22 peer-reviewed papers, including in high-impact journals such as IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition, and at top conferences like AAAI, IJCAI, and ACMMM. He has served as the principal investigator on multiple national and provincial-level research projects, including those funded by the National Natural Science Foundation of China. Dr. Cao also holds 8 granted patents related to image-text retrieval, anomaly detection, and multimodal learning systems.

🧑‍🏫 Teaching & Mentorship

Dr. Cao has been recognized for his commitment to teaching and student mentorship, guiding students who have received national graduate scholarships and awards for outstanding theses. In 2023, he was named Outstanding Instructor at the Global Campus Artificial Intelligence Algorithm Elite Competition.

🛠️ Technical Skills

He is proficient in machine learning and deep learning frameworks including PyTorch and TensorFlow, with strong programming skills in Python and C++. His technical toolkit also includes OpenCV, Scikit-learn, LaTeX, and tools for multimodal retrieval and graph-based learning.

🏆 Awards & Honors

His work has earned numerous accolades, including First Prize in the 2024 Suzhou Computer Society Outstanding Paper Award, Second Prize in the 2022–2023 Suzhou Natural Science Academic Paper Award, and recognition for excellence in student supervision and AI competition mentoring.

📚 Top Notes Publications

1. Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening

  • Authors: Xu, Yingjia; Wu, Mengxia; Guo, Zixin; Ye, Mang; Laaksonen, Jorma T.

  • Journal: Visual Intelligence

  • Year: 2025

2. Diversified Data Expansion Method Using Text-Based Person Image Search

  • Authors: Wang, Jingyao; Cao, Min

  • Journal: Jisuanji Gongcheng / Computer Engineering

  • Year: 2024

Jinpeng Chen | recommendation systems | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Jinpeng Chen | recommendation systems | Best Researcher Award

Beijing University of Posts & Telecommunications | China

Publication Profile

Google Scholar

Biography of Assoc Prof Dr. Jinpeng Chen 👨‍💻

🎓 Education & Global Experience

Assoc. Prof. Dr. Jinpeng Chen began his academic journey with a Ph.D. in Computer Science from Beihang University (2011–2016). During his doctoral studies, he expanded his research horizons internationally—spending a year as a Visiting Ph.D. scholar at Aalborg University in Denmark (2014–2015), and also working as a Research Assistant at the University of Sydney in Australia (2013–2014). These global experiences laid the foundation for his collaborative and cross-cultural approach to research. 🌍📘

👨‍🏫 Academic Positions

Dr. Chen currently serves as an Associate Professor at the Beijing University of Posts and Telecommunications (BUPT), a position he has held since December 2018. Prior to that, he was an Assistant Professor at BUPT from 2016 to 2018. Over the years, he has been actively involved in teaching, mentoring graduate students, and leading innovative research projects. 🏫🔬

🔬 Research Interests & Projects

His research primarily focuses on Data Mining, Social Network Analysis, Crowdsourcing-based Data Processing, Machine Learning, and Artificial Intelligence. Dr. Chen has led and contributed to numerous high-impact research projects, including the Beijing Natural Science Foundation (2023–2026) and multiple grants from the National Natural Science Foundation of China. He also participated in the National Key R&D Program of China, contributing to the development of algorithms for user profiling, recommendations, traffic analysis, and intelligent marketing. 📊🤖

🧠 Academic Service & Community Contribution

Dr. Chen is a dedicated member of the global research community. He has served as a reviewer for prestigious journals such as ACM TOIS, TKDD, IEEE TNNLS, IEEE TFS, and TCC, among others. He is also a frequent external reviewer and program committee member for leading conferences like KDD, WWW, DASFAA, IJCAI, and BigData. His expert insights and evaluations have helped maintain the high standards of academic publishing. 📝🌐

🎤 Talks & Presentations

As a recognized thought leader in his field, Dr. Chen has been invited to speak at major academic events. Notable presentations include his talk at the KDD China 2023 Summer School on “Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding”, and his keynote at ICAIBD 2023 on “Sequential Intention-aware Recommender based on User Interaction Graph”. He has also shared his research at CGCM 2014 and during a special invitation to the School of Information Technologies at the University of Sydney. 🗣️📢

🚀 Impact & Vision

Assoc. Prof. Dr. Jinpeng Chen continues to drive innovation at the intersection of data science and artificial intelligence. His research not only contributes to academic advancement but also influences real-world applications in technology, business, and social platforms. With a passion for AI and a strong foundation in collaborative research, he is shaping the future of intelligent systems, one algorithm at a time. 🌟📈

📚 Top Notes Publications

Title: Automatic tagging by leveraging visual and annotated features in social media

Authors: J. Chen, P. Ying, X. Fu, X. Luo, H. Guan, K. Wei
Journal: IEEE Transactions on Multimedia
Year: 2021

Title: Inferring tag co-occurrence relationship across heterogeneous social networks

Authors: J. Chen, Y. Liu, G. Yang, M. Zou
Journal: Applied Soft Computing
Year: 2018

Title: Sequential intention-aware recommender based on user interaction graph

Authors: J. Chen, Y. Cao, F. Zhang, P. Sun, K. Wei
Journal: Proceedings of the 2022 International Conference on Multimedia Retrieval
Year: 2022

Title: From tie strength to function: Home location estimation in social network

Authors: J. Chen, Y. Liu, M. Zou
Journal: 2014 IEEE Computers, Communications and IT Applications Conference
Year: 2014

Title: FePN: A robust feature purification network to defend against adversarial examples

Authors: D. Cao, K. Wei, Y. Wu, J. Zhang, B. Feng, J. Chen
Journal: Computers & Security
Year: 2023

Ahmed Abdellah Nasr Ahmed | Monitoring analysis | Best Researcher Award

Posted on by ScienceFather

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.

💼 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.

🔧 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

 

Vicenta Llorente Cortés | Social Impact | Best Researcher Award

Posted on by ScienceFather

Dr. Vicenta Llorente Cortés | Social Impact | Best Researcher Award

Consejo Superior Investigaciones Cientificas, Spain

👨‍🎓Professional Profile

Scopus Profile

👩‍🔬 Early Academic Pursuits

Dr. Vicenta Llorente Cortés’s academic journey began with a Bachelor’s degree in Biology from Universitat Autònoma de Barcelona in 1989. She pursued advanced studies in Biochemistry, Molecular Biology, and Biomedicine, completing her degree in 1995. These early academic experiences laid the foundation for her future research career in the fields of cardiovascular science and pathology.

📚 Professional Endeavors and Research Focus

Dr. Llorente Cortés’s professional career has been deeply rooted in scientific research, particularly in the areas of cardiovascular diseases, metabolic disorders, and cellular pathophysiology. She has been a Scientist at the Consejo Superior de Investigaciones Científicas (CSIC) since 2006. Throughout her career, she has held senior research positions, including at the Hospital de Sant Pau and Fundación Investigación Cardiovascular. Her work in experimental pathology at CSIC focuses on understanding the molecular mechanisms of heart failure, cholesterol metabolism, and related diseases.

🧬 Contributions and Research Achievements

Dr. Llorente Cortés has made significant contributions to both basic and applied research, particularly in the field of cardiovascular and metabolic diseases. She has directed 14 doctoral theses, 6 final degree projects, and 10 final Master’s projects, illustrating her commitment to fostering the next generation of researchers. Her scientific output includes 120 international publications, with 36 (51.4%) ranking in the top 25% of the most cited worldwide. Dr. Llorente Cortés’s work has been pivotal in advancing the understanding of cardiovascular pathophysiology and identifying new therapeutic targets, such as vascular cholesterol inhibitors and biomarkers for dilated cardiomyopathy.

🌍 Impact and Influence in the Scientific Community

Dr. Llorente Cortés’s impact extends beyond her own research. She is an active evaluator for scientific projects in Spain, collaborating with organizations like the ANEP, the Junta de Andalucía, and the Spanish Society of Cardiology. Her international collaborations span countries like France, Italy, and the USA, with 30% of her publications being co-authored with foreign researchers. As a reviewer for prestigious journals and a member of several scientific committees, she continues to shape the direction of cardiovascular research globally. Furthermore, her leadership in competitive projects and participation in high-profile international symposiums underscores her influence.

📊 Academic Citations and Recognition

Dr. Llorente Cortés’s academic excellence is reflected in her high citation index. She has an H-index of 34, with a total of 3,150 citations, of which 2,195 are not her own. This high citation count and her consistent publication in top-tier journals (66.2% of her publications appear in the top 25% by cite score) highlight her substantial contribution to the field. Her leadership and expertise are recognized worldwide, as evidenced by her membership in various international scientific societies and networks.

🧪 Technical Skills and Expertise

Dr. Llorente Cortés possesses extensive technical expertise in molecular biology, cardiovascular research, and experimental pathology. Her skill set includes advanced techniques in cellular biology, molecular diagnostics, and the development of therapeutic strategies. She has been instrumental in translating scientific research into potential clinical applications, as demonstrated by her patents and collaborations with companies like Iproteos S.L.

🎓 Teaching Experience and Mentorship

Dr. Llorente Cortés has been an influential mentor throughout her career. In addition to guiding doctoral and postdoctoral researchers, she has contributed to numerous academic projects, fostering a productive environment for new scientists to thrive. She has directed numerous doctoral theses, and her ability to inspire and lead has made her a prominent figure in the academic community.

🔮 Legacy and Future Contributions

Dr. Llorente Cortés’s legacy is defined not only by her groundbreaking research but also by her significant role in mentoring the next generation of scientists and promoting international collaboration. Her future contributions are poised to focus on translational research, particularly in the areas of heart failure therapies and the development of novel diagnostic and therapeutic strategies for cardiovascular diseases. With the continued success of her research projects, including her involvement in innovative programs like InnoPau and CIBERINNOVA, Dr. Llorente Cortés will likely remain a key figure in the global scientific community, advancing both fundamental knowledge and clinical applications.

 

📖Top Noted Publications

PCSK9 Antibodies Treatment Specifically Enhances the Macrophage-specific Reverse Cholesterol Transport Pathway in Heterozygous Familial Hypercholesterolemia

Authors: Borràs, C., Canyelles, M., Girona, J., Blanco-Vaca, F., Escolà-Gil, J.C.

Journal: JACC: Basic to Translational Science

Year: 2024

Targeting LDL Aggregation Decreases Atherosclerotic Lipid Burden in a Humanized Mouse Model of Familial Hypercholesterolemia: Crucial Role of ApoB100 Conformational Stabilization

Authors: Benitez-Amaro, A., Garcia, E., La Chica Lhoëst, M.T., Escola-Gil, J.C., Llorente-Cortés, V.

Journal: Atherosclerosis

Year: 2024

sICAM-1 Concentrations Are Associated with Inflammation in Contralateral Carotid Plaque in Patients with Ischemic Stroke

Authors: Puig, N., Camps-Renom, P., Garcia, E., Llorente-Cortés, V., Benitez, S.

Journal: Clínica e Investigación en Arteriosclerosis

Year: 2024

Mechanisms Modulating Foam Cell Formation in the Arterial Intima: Exploring New Therapeutic Opportunities in Atherosclerosis

Authors: La Chica Lhoëst, M.T., Martinez, A., Claudi, L., Escolà-Gil, J.C., Llorente-Cortés, V.

Journal: Frontiers in Cardiovascular Medicine

Year: 2024

Transcriptional Analysis Reveals that the Intracellular Lipid Accumulation Impairs Gene Expression Profiles Involved in Insulin Response-associated Cardiac Functionality

Authors: Actis Dato, V., Paz, M.C., Rey, F.E., Chiabrando, G.A., Ceschin, D.G.

Journal: Scientific Reports

Year: 2023