Dr. Saranya Indhumathi G | Engineering | Editorial Board Member

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Dr. Saranya Indhumathi G | Engineering | Editorial Board Member

Assistant Professor | Rajalakshmi Engineering College | India

Dr. Saranya G is a distinguished researcher whose scholarly contributions in the field of Engineering reflect excellence, innovation, and academic depth. With extensive experience in Engineering research and development, Dr. Saranya has made substantial progress in advancing applied and theoretical aspects of modern Engineering systems. Her work demonstrates a profound understanding of Engineering methodologies, design, and implementation, consistently aligning with global research standards. Through dedication to quality research, Dr. Saranya has contributed to several impactful studies in Engineering, which have inspired both academic and industrial applications. Her research output is marked by a strong focus on interdisciplinary collaboration, bridging various domains of Engineering to achieve innovative and sustainable solutions. Dr. Saranya’s publications in reputed journals highlight her commitment to the continuous evolution of Engineering practices and her passion for advancing knowledge in the global Engineering community. Her professional excellence has strengthened the integration of computational techniques, material innovations, and system optimization within Engineering research frameworks. Dr. Saranya’s collaborations with leading scholars and institutions have further enhanced the visibility and applicability of her Engineering research. She remains actively engaged in advancing experimental and analytical techniques that contribute to the future of Engineering innovation. Her body of work stands as a testament to the transformative potential of research-driven Engineering advancements and their impact on societal progress and technological development. Her scholarly excellence continues to enrich the domain of Engineering, promoting a culture of intellectual rigor and innovation. Google Scholar profile of 167 Citations, 8 h-index, and 7 i10-index.

Profile: Google Scholar

Featured Publications

1. Benazer, S. S., Dawood, M. S., Ramanathan, S. K., & Saranya, G. (2021). Efficient model for IoT based railway crack detection system. Materials Today: Proceedings, 45, 2789–2792.

2. Ambeth Kumar, V. D., Saranya, G., Elangovan, D., & Chiranjeevi, V. R. (2018). IOT-based smart museum using wearable device. International Conference on Innovative Computing and Communications, 27.

3. Saranya, G., Sivamangai, N. M., Ajayan, J., Sreejith, S., & Nithya, S. (2024). Semi-classical physics based model in AlGaN/BGaN based ultraviolet LED with p-AlGaN layer sandwiched around electron-blocking layer for droop-free efficiency. Micro and Nanostructures, 188, 207772.

4. Naveenkumar, R., Sivamangai, N. M., Napolean, A., Puviarasu, A., & Saranya, G. (2022). Preventive measure of SAT attack by integrating anti-SAT on locked circuit for improving hardware security. 2022 7th International Conference on Communication and Electronics Systems (ICCES), 14.

5. Jayanthi, P., Saranya, G., Duraimurugan, J., Sengodan, P., & Ravichandran, S. (2023). Construction of SnO₂/MWCNT nanocomposites as electrode materials for supercapacitor applications. Journal of Sol-Gel Science and Technology, 108(1), 112–119.

Dr. Jagadish | Engineering | Best Researcher Award

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Dr. Jagadish | Engineering | Best Researcher Award

Assistant Professor | Indian Statistical Institute, Bengaluru Centre | India

Dr. Jagadish is a distinguished researcher and Assistant Professor at the Indian Statistical Institute, Bangalore Centre, known for his influential contributions in Engineering fields encompassing Industrial Engineering, Production Engineering, and Mechanical Engineering. His academic and research accomplishments reflect a deep commitment to advancing Engineering principles through innovation, optimization, and sustainable development. With a strong foundation in Engineering optimization techniques, Engineering management, and Engineering modeling, Dr. Jagadish has established a reputation for excellence in multidisciplinary Engineering research. He has published 52 documents and accumulated 853 citations, achieving an h-index of 15 on Scopus, underscoring the impact and visibility of his scholarly work. A prolific author, Dr. Jagadish has contributed significantly to high-impact international journals and has authored and co-authored numerous Engineering books and book chapters published by leading academic publishers such as Springer, IGI Global, and Elsevier. His Engineering research spans optimization in green manufacturing, additive manufacturing, sustainable composites, and decision-making methods in production systems. He has also collaborated extensively with academic and industrial partners across multiple Engineering disciplines, bridging theoretical analysis with practical applications. His Engineering consultancy and project leadership demonstrate a strong connection between academic research and industrial implementation, particularly in areas such as quality management, Six Sigma applications, and process optimization. Dr. Jagadish’s leadership in Engineering training programs, conferences, and applied research projects has contributed greatly to capacity building and knowledge transfer in the Engineering community. His research integrates computational methods, experimental design, and sustainable approaches, reflecting the evolving role of Engineering in addressing environmental and industrial challenges. Through his consistent scholarly excellence and dedication to innovation, Dr. Jagadish continues to advance the frontiers of modern Engineering, contributing meaningfully to both academia and society.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Performance Analysis and Optimization of Different Electrode Materials and Dielectric Fluids on Machining of High Carbon High Chromium Steel in Electrical Discharge Machining. (2022). Proceedings of the National Academy of Sciences India Section A: Physical Sciences.

2. Evaluation of Machining Properties of Short Bamboo Fiber-Based Green Composites Using CNC Drilling Process. (Conference Paper).

3. Performance Evaluation of Sand Coated Absorber Based Solar Air Collector. (2021). Journal of Building Engineering.

4. Energy, Exergy, and Environmental (3E) Analyses of Reverse and Cross-Corrugated Trapezoidal Solar Air Collectors: An Experimental Study. (2021). Journal of Building Engineering.

5. A Soft Computing-Based Study on WEDM Optimization in Processing Inconel 625. (2021). Neural Computing and Applications.

Dr. Wu Qiuxuan | Robotics and Automation | Best Researcher Award

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Dr. Wu Qiuxuan | Robotics and Automation | Best Researcher Award

Teacher | Hangzhou Dianzi university | China

Dr. Wu Qiuxuan, an Associate Professor at the School of Automation, Hangzhou Dianzi University, is a distinguished researcher whose expertise and leadership have significantly advanced the field of Robotics and Automation. With a Ph.D. in Control Science and Engineering from Shanghai Jiaotong University, his academic journey reflects a deep commitment to innovation in Robotics and Automation, particularly in the areas of soft robotics, evolutionary learning, and home energy systems. Dr. Wu’s professional experience includes academic and research roles, notably as a visiting scholar at the Australian National University, where he furthered his understanding of intelligent robotic systems. His extensive research on bipedal robots, underwater biomimetic designs, and bio-inspired control algorithms has earned him international recognition. Dr. Wu has authored impactful papers in leading journals such as IEEE Robotics and Automation Letters and Bioinspiration & Biomimetics, contributing to global advancements in Robotics and Automation. His work integrates advanced modeling, deep reinforcement learning, and optimization techniques to enhance robotic adaptability and performance. Over the years, Dr. Wu has received numerous research grants supporting his pioneering studies on service robots, industrial automation, and 3D bioprinting technologies, underscoring his central role in the evolution of Robotics and Automation. With 721 citations, an h-index of 11, and an i10-index of 20, his scholarly influence continues to grow. Dr. Wu’s research skills encompass algorithmic innovation, system optimization, and control engineering, blending theoretical insight with practical application. In conclusion, Dr. Wu Qiuxuan stands as a driving force in Robotics and Automation, whose interdisciplinary expertise continues to shape intelligent systems and inspire the next generation of automation research worldwide.

Profiles: ORCID | Google Scholar

Featured Publications

1. Cai, N., He, M., Wu, Q., & Khan, M. J. (2019). On almost controllability of dynamical complex networks with noises. Journal of Systems Science and Complexity, 32(4), 1125–1139.

2. Chi, X., Liu, B., Niu, Q., & Wu, Q. (2012). Web load balance and cache optimization design based nginx under high-concurrency environment. Proceedings of the Third International Conference on Digital Manufacturing & Automation, 69–73.

3. Wu, Q., Yang, X., Wu, Y., Zhou, Z., Wang, J., Zhang, B., Luo, Y., Chepinskiy, S. A., ... (2021). A novel underwater bipedal walking soft robot bio-inspired by the coconut octopus. Bioinspiration & Biomimetics, 16(4), 046007.

4. Wu, Q., Gu, Y., Li, Y., Zhang, B., Chepinskiy, S. A., Wang, J., Zhilenkov, A. A., ... (2020). Position control of cable-driven robotic soft arm based on deep reinforcement learning. Information, 11(6), 310.

5. Chi, X., Wang, C., Wu, Q., Yang, J., Lin, W., Zeng, P., Li, H., & Shao, M. (2023). A ripple suppression of sensorless FOC of PMSM electrical drive system based on MRAS. Results in Engineering, 20, 101427.

Prof. Wenlong Song | Engineering | Best Scholar Award

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Prof. Wenlong Song | Engineering | Best Scholar Award

Associate Professor | Jining University | China

Prof. Wenlong Song, a distinguished figure in the field of Engineering, has made significant contributions to Mechanical Design, Manufacturing, and Automation. He earned his doctoral degree from Shandong University and serves as an Associate Professor and Graduate Supervisor at the School of Mechanical and Electrical Engineering, Jining University. His Engineering expertise focuses on efficient machining processes and advanced tool technology, where he has played a key role in leading multiple Engineering research initiatives. Prof. Song has successfully hosted several provincial, ministerial, and industrial Engineering projects, which have substantially advanced technological applications in precision machining and automation systems. His Engineering research has resulted in more than fifty academic publications and over forty authorized invention patents, reflecting his strong innovation capabilities and leadership in Engineering development. Recognized for his excellence, he has received multiple municipal and higher-level awards for his Engineering achievements. Prof. Song’s Engineering research skills encompass precision design, material optimization, process modeling, and manufacturing automation. His continued dedication to Engineering education and research demonstrates his commitment to nurturing the next generation of Engineering scholars while expanding the boundaries of modern mechanical systems. Through his extensive Engineering background and innovative approach, Prof. Wenlong Song stands out as a leading expert whose work continues to impact the Engineering community globally. 346 Citations, 33 Documents, 11 h-index.

Profiles: Scopus | Google Scholar

Featured Publications

1. (2025). Analytical and experimental investigation of vibration response for the cracked fluid-filled thin cylindrical shell under transport condition. Applied Mathematical Modelling.

2. (2025). Friction behavior of molybdenum disulfide/polytetrafluoroethylene-coated cemented carbide fabricated with a spray technique in dry friction conditions. Coatings.

3. (2024). Fabrication and tribology properties of PTFE-coated cemented carbide under dry friction conditions. Lubricants.