Dr. Priya Tyagi | Sustainable Engineering | Best Researcher Award

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Dr. Priya Tyagi | Sustainable Engineering | Best Researcher Award

Dr. Priya Tyagi | Sharda University | India

Dr. Priya Tyagi is a dedicated sustainable architect with extensive academic and professional expertise in sustainable design and rural housing development. She earned her Doctor of Philosophy from Malaviya National Institute of Technology, Jaipur, focusing on a decision-making framework for design quality assessment of rural houses in India, following her Master of Architecture in Sustainable Architecture from Deenbandhu Chhotu Ram University of Science and Technology, Murthal, and Bachelor of Architecture from Shri Ram Group of Colleges, Lucknow. She has actively contributed to research and practice in architecture, including a joint research project on municipal waste management at Massachusetts Institute of Technology, Boston, and holds professional credentials as a Green Rating for Integrated Habitat Assessment certified professional. Currently, she serves as Assistant Professor at Sharda School of Design, Architecture and Planning, Greater Noida, having previously held academic positions at Sanskar College of Architecture and Planning and practical experience with Shelter Architects and M/s Raj Architects and Builders. Dr. Tyagi has been recognized for her expertise through appointments as a reviewer for Scopus-indexed journals, including the Journal of Infrastructure, Policy and Development, and the Journal of Civil, Construction and Environmental Engineering. Her research output includes 9 documents with 6 citations and an h-index of 2, reflecting her growing impact in sustainable architecture, design quality assessment, and environmentally responsible building practices in India.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Tyagi, P., Shrivastava, B., & Kumar, N. (2024). Investigating rural housing quality indicators in the Indian scenario for inclusive imageability. Environment, Development and Sustainability, 26(10), 25609-25643.

Tyagi, P., Shrivastava, B., & Kumar, N. (2023). Towards creating inclusive villages: The types of rural settlements in India. ISVS e-Journal, 10(2), 91-106.

Bhyan, P., Tyagi, P., Doddamani, S., Kumar, N., & Shrivastava, B. (2023). Life cycle assessment of lightweight and sustainable materials. Lightweight and Sustainable Composite Materials, 117-142.

Tyagi, P., Shrivastava, B., & Kumar, N. (2024). A comprehensive investigation of rural and low-rise housing design quality: A thematic and bibliometric analysis. Journal of Housing and the Built Environment, 39(3), 1323-1353.

Tyagi, P., Shrivastava, B., & Kumar, N. (2025). Optimizing rural housing design quality: Indicators and parameters for comprehensive assessment. Environment, Development and Sustainability, 1-43.

Mr. Andreas Fezer | Data Driven Engineering | Best Researcher Award

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Mr. Andreas Fezer | Data Driven Engineering | Best Researcher Award

Mr. Andreas Fezer | Materials Testing Institute, University of Stuttgart | Germany

Mr. Andreas Fezer is a Scientific Associate at the Materials Testing Institute, University of Stuttgart, Germany, specializing in joining technology and additive manufacturing. He holds both bachelor’s and master’s degrees in mechanical engineering from the University of Stuttgart. Since joining the institute, he has contributed to advanced research on resistance spot welding, aluminum alloys, and the integration of experimental and machine learning approaches in welding technology. His published works focus on improving manufacturing efficiency and material performance. With expertise spanning mechanical engineering fundamentals and applied welding processes, Mr. Fezer plays an active role in advancing industrial materials testing and innovative manufacturing solutions.

Professional Profile

Orcid

Education and Experience

Mr. Andreas Fezer earned his bachelor’s and master’s degrees in mechanical engineering from the University of Stuttgart, Germany. Following his academic training, he began his professional career at the Materials Testing Institute, University of Stuttgart, where he works as a Scientific Associate in the Department of Joining Technology and Additive Manufacturing. His work involves both experimental and computational research, focusing on welding processes, material resistance evaluation, and the development of innovative manufacturing techniques. Through his combined academic background and applied industrial research, Mr. Fezer contributes to the advancement of materials engineering and welding technologies in both academic and industrial contexts.

Summary Suitability

Mr. Andreas Fezer is an outstanding candidate for the Best Researcher Award due to his significant contributions to advanced materials testing and welding technology. As a Scientific Associate at the Materials Testing Institute, University of Stuttgart, he has demonstrated expertise in joining technology and additive manufacturing, focusing on aluminum alloys and resistance spot welding processes. His work combines experimental investigations with innovative machine learning techniques, enabling improved understanding of dynamic resistance and contact behavior in metal joining.

Professional Development 

Mr. Andreas Fezer has cultivated expertise in resistance spot welding, aluminum alloy characterization, and additive manufacturing processes. He engages in collaborative research integrating experimental methods with machine learning to improve process understanding and efficiency in manufacturing. His professional growth has been shaped by active participation in scientific publications, interdisciplinary teamwork, and applied research projects that connect engineering theory with industrial practice. Working within the renowned Materials Testing Institute at the University of Stuttgart has allowed him to refine his analytical, problem-solving, and technical skills, positioning him as a valuable contributor to innovation in mechanical engineering and materials science.

Research Focus 

Mr. Andreas Fezer’s research is centered on welding technology, particularly resistance spot welding of aluminum alloys used in automotive and structural applications. His work addresses both the physical phenomena involved in material joining and the development of methods for evaluating contact and bulk resistance in metals. He explores dynamic resistance behavior using a combination of laboratory experimentation and machine learning techniques, aiming to enhance process reliability, material performance, and production efficiency. His research focus falls under the category of advanced manufacturing and materials engineering, with an emphasis on joining processes, welding quality control, and the integration of data-driven approaches in manufacturing.

Awards and Honors

Mr. Andreas Fezer’s professional recognition is reflected in his contributions to peer-reviewed scientific publications and his role in advancing welding technology research. His work has appeared in reputable international journals, showcasing the impact and quality of his studies in materials testing and manufacturing innovation. Through collaborative projects and research dissemination, he has earned professional respect within the mechanical engineering and materials science community. His achievements underscore his reputation as a researcher whose work supports both academic advancement and industrial application in the field of joining technology and additive manufacturing.

Publication Top Notes

Title: Method for Determining the Contact and Bulk Resistance of Aluminum Alloys in the Initial State for Resistance Spot Welding
Year: 2025

Title: Experimental and Machine Learning Investigation of Dynamic Resistance in Aluminum Resistance Spot Welding for the Body-in-White
Year: 2025

Conclusion

Mr. Andreas Fezer’s innovative research, combining experimental methods and machine learning in welding technology, has made a significant impact on materials science and manufacturing. His work demonstrates technical excellence, practical relevance, and academic rigor, establishing him as a leading researcher in his field. His contributions to understanding and improving aluminum resistance spot welding processes highlight both his scientific insight and his ability to drive industrial innovation, making him exceptionally deserving of the Best Researcher Award.

 

Mr. Leyan Ding | Engineering | Best Researcher Award

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Mr. Leyan Ding | Engineering | Best Researcher Award

Mr. Leyan Ding , Wuhan University , China.

Mr. Leyan Ding 🎓 is a dedicated Master’s student at Wuhan University 🏫, known for her passion for scientific discovery and innovation in advanced engineering and computational domains. With a growing academic footprint, she is engaged in impactful research 📊, contributing to scholarly journals and exploring interdisciplinary collaborations 🌐. Leyan has demonstrated excellence through various ongoing projects, showcasing a commitment to research-driven solutions 🔍. Her contributions reflect a clear focus on emerging technologies and academic rigor 📘. As a rising scholar, she is actively involved in professional development while maintaining ethical and intellectual integrity 🧠💼.

Professional Profile

Scopus

Education & Experience 

  • 🎓 Master’s Degree in progress at Wuhan University

  • 📅 Enrolled since 2019

  • 🔬 Participated in advanced research initiatives

  • 📘 Strong academic foundation in computational and engineering sciences

  • 🧪 Hands-on experience in scientific methodologies and lab-based projects

  • 💻 Exposure to industry-level tools and analytical platforms

  • 🌐 Active participant in university academic networks and events

Summary Suitability

Leyan Ding, a Master’s candidate at Wuhan University, is a promising young researcher demonstrating exceptional academic dedication and research potential. As an emerging talent in their field, Leyan has actively contributed to research innovation through active involvement in cutting-edge projects, scholarly publications, and academic collaborations. With a strong foundation in scientific inquiry and practical research methodologies, Leyan’s work aligns with the objectives of the Best Researcher Award, which recognizes outstanding early-career researchers committed to meaningful and high-impact contributions.

Professional Development

Mr. Leyan Ding 💼 is constantly evolving in her professional journey through research, knowledge exchange, and interdisciplinary engagement. She has contributed to collaborative research environments 🔄, worked with advanced modeling tools, and maintained a consistent academic record 📈. Her professional growth is marked by contributions to reputed journals 📚, ongoing patent work 🧾, and emerging consulting initiatives with academic institutions 🏛️. She’s also building connections through editorial opportunities and research forums 🌍. Leyan is an active member of professional bodies and takes part in global knowledge-sharing platforms to strengthen her academic and professional expertise 🧠🌟.

Research Focus

Leyan Ding’s 🔬 research focuses on cutting-edge developments in computational modeling, data analysis, and engineering systems integration ⚙️. She explores topics that blend scientific computing 🖥️, engineering principles 🏗️, and real-world problem solving 🌏. Her academic endeavors are directed toward impactful innovation, targeting improvements in technology performance and process optimization 📈. Her contributions span multiple disciplines, including fluid dynamics, machine learning applications, and system engineering 🔄. Leyan aims to develop scalable and efficient solutions that advance both theoretical understanding and practical application 🚀. Her focus aligns with future-ready research that bridges academia and industry 🌐.

Awards & Honors 

  • 🏅 Nominated for research excellence awards at Wuhan University

  • 🥇 Recognized for outstanding academic performance in graduate studies

  • 📜 Honored in university-led research symposiums

  • 🧑‍🔬 Participant in elite research training workshops and scientific forums

  • 🏆 Shortlisted for innovation-based student competitions

Publication Top Notes

  • Title: Feedback inertia control and energy-based inertia estimation for frequency response enhancement in V2G-enabled charging stations

  • Authors: Leyan Ding, Y. Liu, M. Zhang

  • Journal: International Journal of Electrical Power & Energy Systems

  • Volume: 145

  • Pages: 108526

  • Year: 2023

  • DOI: 10.1016/j.ijepes.2023.108526

  • Publisher: Elsevier

  • Indexing: SCI, Scopus

  • URL: https://doi.org/10.1016/j.ijepes.2023.108526

Conclusion

With a solid academic record, active research engagement, and evident potential for leadership in scholarly inquiry, Leyan Ding represents the qualities celebrated by the Best Researcher Award. Their commitment to research excellence, academic integrity, and meaningful contributions to the field make them a highly deserving nominee for this recognition.