Uta Rösel | Technology | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Uta Rösel | Technology | Best Researcher Award

Dr. Uta Rösel , Academic Councillor and Chief Engineer , FAU LKT , Germany.

Dr.-Ing. Uta Rösel is a German academic and mechanical engineer serving as an Academic Councilor at the Chair of Plastics Engineering at Friedrich-Alexander University Erlangen-Nürnberg (FAU). With a passion for research in polymer-based magnetics and thermal-mechanical material behavior, she has demonstrated excellence in both scientific contributions and academic leadership. Her journey from student assistant to senior engineer showcases her dedication to engineering education, sustainable materials, and innovative design. As a scholarship holder and prolific researcher with over 20 publications, Dr. Rösel contributes extensively to the development of recycling strategies and functional polymer composites for industrial applications.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. Uta Rösel pursued her academic journey entirely at Friedrich-Alexander University Erlangen-Nürnberg. She completed her Bachelor’s degree in Mechanical Engineering in 2016, followed by a Master’s degree in the same field with distinction in 2018. Her academic excellence earned her a prestigious scholarship from the German Academic Scholarship Foundation. She later obtained her doctoral degree (Dr.-Ing.) with honors for her significant research in polymer systems. Prior to her university studies, she attended Albertus Magnus High School in Regensburg and participated in a student exchange program in Navan, Ireland, enriching her international academic exposure early on.

🏢 Professional Experience

Dr. Rösel’s professional trajectory began as a student assistant from 2014 to 2018, teaching subjects like mathematics and design theory. In 2019, she became a Research Associate at the Chair of Plastics Engineering at FAU, contributing to various high-impact projects. By 2021, she was promoted to Head of Department, and in 2024, she also assumed the role of Senior Engineer (Deputy Head). Her current position as Academic Councilor underscores her leadership in research and academic affairs. Dr. Rösel has supervised numerous theses and served as a substitute lecturer, nurturing the next generation of mechanical engineers.

🏆 Awards and Honors

Dr. Rösel has received several academic honors, including a prestigious scholarship from the German Academic Scholarship Foundation. Her academic journey was marked by the completion of her doctoral studies with distinction. She gained international experience through a student exchange in Ireland, reflecting her adaptability and global engagement. Additionally, her teaching excellence and continued involvement in supervising research work further underscore her contribution to the academic community. Her scholarly output and leadership roles also serve as professional accolades, solidifying her standing as a respected figure in Mechanical and Plastics Engineering.

🔬 Research Focus

Dr. Rösel’s research specializes in polymer-based systems, particularly focusing on thermal conductivity, magnetic properties, and mechanical behavior of thermoset and thermoplastic composites. Her work aims to improve the sustainability and efficiency of polymer-bonded magnets and hybrid filler systems. She has significantly contributed to the understanding of recycling strategies for magnetic materials and the development of functional thermosets for industrial applications. Her projects are often interdisciplinary, combining materials science, mechanical engineering, and magnetism. With over 21 scientific papers and an h-index of 4, Dr. Rösel’s research is widely cited and has influenced contemporary advancements in mechanical and polymer engineering.

📌 Conclusion

Dr.-Ing. Uta Rösel is a distinguished mechanical engineer and academic leader whose work bridges the gap between research innovation and industrial relevance. Her dedication to advancing polymer-based materials, sustainability in engineering, and academic mentoring has positioned her as a key contributor to Germany’s mechanical engineering landscape. Through her dual roles in teaching and research, Dr. Rösel continues to inspire both students and fellow researchers, making notable strides in material science and plastics technology at Friedrich-Alexander University Erlangen-Nürnberg.

📚 Top Publications

  1. Correlation of the Thermal Conductivity and Mechanical Properties in Hybrid Filler Systems of Thermosets
    🔹 Polymers, 2025
    🔹 Cited by: 2 articles

  2. Influence of Application Conditions on the Magnetic Properties of Recycled Polymer-Bonded Magnets Based on Thermoplastics and Ferrite-Based Fillers
    🔹 Recycling, 2025
    🔹 Cited by: 3 articles

  3. Influence of Different Filler Systems on the Thermal Conductivity and Mechanical Properties of Thermosets
    🔹 Polymers, 2024
    🔹 Cited by: 2 articles

  4. Evaluation of a Recycling Strategy for Polymer-Bonded Magnets Based on Thermosets
    🔹 Recycling, 2024
    🔹 Cited by: 3 articles

  5. The Influence of the Design and Technological Parameters of Polymer-Based Multipolar Magnets with SrFeO Hard Magnetic Filler on the Residual Magnetic Properties
    🔹 Magnetism, 2024
    🔹 Cited by: 1 article

  6. Changes in Material Behavior according to the Amount of Recycled Magnetic Materials in Polymer-Bonded Magnets Based on Thermoplastics
    🔹 Magnetism, 2024
    🔹 Cited by: 2 articles

  7. Correlation between the Material System and the Magnetic Properties in Thermoset-Based Multipolar Ring Magnets
    🔹 Magnetism, 2023
    🔹 Cited by: 3 articles

  8. Extension of the Application Range of Multipolar Bonded Ring Magnets by Thermosets in Comparison to Thermoplastics
    🔹 Magnetism, 2023
    🔹 Cited by: 4 articles

 

GAN XU | Computer Science | Best Researcher Award

Published on by Computer Scientists Awards

Mr. GAN XU | Computer Science | Best Researcher Award

PhD. candidate, capital university of economics and business, China

Xu Gan is a Doctoral student at Capital University of Economics and Business, Beijing, specializing in Rural Finance, Financial Theory and Policy, and Supply Chain Finance. With a solid academic background and practical experience, Xu has contributed significantly to research in financial services and blockchain technology. 🏛️📚

Profile

Scopus

 

Education

Xu Gan completed a Master of Finance from Capital University of Economics and Business in Beijing (2018-2021) and a Bachelor of Biotechnology from Beijing Union University (2006-2010). Xu also has an extensive academic background in these fields, providing a strong foundation for research and analysis. 🎓📈

Experience

Xu has actively participated in several high-profile research projects, including the National Social Science Foundation of China’s research on rural financial services and the China Mobile Communication Federation’s blockchain technology applications in finance. Xu was responsible for designing research sub-topics and writing research reports. 📊🔬

Research Interests

Xu Gan’s research interests include Rural Finance, Financial Theory and Policy, and Supply Chain Finance. Xu is focused on improving rural financial services and exploring innovative financial technologies such as blockchain. 🌾💡

Awards

Xu has been recognized for academic excellence with several honors: Beijing Outstanding Graduates (2020), Outstanding Graduate of Beijing Union University (2020), and several awards for excellent papers at various financial and rural finance forums. 🏅📜

Publications

Yang, GZ., Xu, G., Zhang, Y., et al. Financial density of village banks and income growth of rural residents. Economic Issues, 2021, 504(08): 89-94.

Zhang, F., Xu, G., Zhang, XY, Cheng, X. Knowledge mapping analysis of seven decades of rural finance research in China. Rural Finance Research, 2020(01): 10-20.

Zhang, F., Xu, G., Cheng, X. A review of blockchain applications in the financial sector. Technology for Development, 2019, 15(08): 865-871.

Hafiza Sadia Nawaz | Computer Science | Women Researcher Award

Published on by Computer Scientists Awards

Dr. Hafiza Sadia Nawaz | Computer Science | Women Researcher Award

Shenzhen University, China

🎓 Dr. H. Sadia Nawaz is a distinguished researcher and academic in Computer Vision, with a Ph.D. from Ocean University of China. Her work focuses on Temporal Activity Detection using Natural Language. With a background in both teaching and research, she has contributed significantly to the field of computer vision and continues to pursue a career as a postdoctoral researcher. Her extensive knowledge and dedication to the subject make her a valuable asset to any research group.

Profile

Scopus

 

Education

📚 Dr. H. Sadia Nawaz holds a Ph.D. in Computer Science from Ocean University of China, specializing in Temporal Moment Localization using Natural Language. She also completed her Master’s in Information Science and Technology at the University of Sargodha and an MS in Computer Science and Technology with a focus on Cyber Security at the University of Lahore. Her academic background provides a strong foundation for her research and teaching roles.

Experience

💼 Dr. Nawaz has a robust teaching background, having served as a Programming Teaching Assistant at Heriot-Watt University and Ocean University of China, and as a Computer Science Lecturer at Superior University of Lahore and the University of Sargodha. Her roles in academia have honed her skills in teaching, mentoring, and research, contributing to her expertise in computer vision and machine learning.

Research Interests

🔍 Dr. Nawaz’s research interests include Activity Localization in Videos via Language, Temporal Moment Detection, and Natural Language Processing. She is particularly focused on moment detection in complex scenarios and the integration of machine learning methods with computer vision techniques to enhance video understanding and activity localization.

Awards

🏅 Dr. H. Sadia Nawaz has been recognized for her research contributions in the field of computer vision, particularly for her work on Temporal Moment Localization using Natural Language. Her research has been published in high-impact journals, reflecting her expertise and commitment to advancing the field.

Publications

Temporal Moment Localization via Natural Language by Utilizing Video Question Answers as a Special Variant and Bypassing NLP for Corpora

IVTEN – Integration of Visual-Textual Entities for Temporal Activity Localization via Language in Video

Revelation of Novel Paradigm in Temporal Moment Localization by Using Natural Language in Video

Multi-level Edges and Context Arranger Architecture Using Referencing Expressions for Temporal Moment Localization via Natural Language

A Frame-Based Feature Model for Violence Detection from Surveillance Cameras Using ConvLSTM Network