SSSR Sarathbabu Duvvuri | Engineering | Research Excellence Award

Dr. SSSR Sarathbabu Duvvuri | Engineering | Research Excellence Award

Shri Vishnu Engineering College for Women Bhimavaram | India

Dr. SSSR Sarathbabu Duvvuri is an accomplished researcher in electrical and power engineering with a strong record of contributions spanning power electronics, electrical machines, renewable energy systems, and intelligent control. The research output includes 56 scholarly documents, which have collectively received 302 citations from 216 citing documents, reflecting sustained academic impact, with an h-index of 9. The body of work demonstrates depth in state estimation, fault detection and diagnosis, optimization techniques, and applications of artificial intelligence and machine learning in electrical engineering systems. Significant contributions are evident in high-quality journals and book chapters published by Elsevier, IEEE, Springer, and other reputed outlets, covering areas such as load frequency control with communication delays, secure energy routing in microgrids, photovoltaic system performance, induction and synchronous machine diagnostics, and renewable energy integration. The research portfolio also includes an extensive set of Scopus- and Web of Science–indexed conference papers, highlighting sustained engagement with the global research community. In addition, multiple recently published patents in machine learning–based energy systems, malware detection, and healthcare monitoring demonstrate translational impact beyond academia. Overall, the research profile reflects a balanced blend of theoretical modeling, experimental validation, and intelligent system design with relevance to modern power and energy systems.

Citation Metrics (Scopus)

350

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Citations
302

Documents
56

h-index
9

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Top 5 Publications

Crack-JPU-A Crack Segmentation Method using Atrous Convolution
– Measurement: Sensors, Vol. 32, 101080, 2024 (Elsevier, Scopus)

Design, Control and Performance of PI and ANFIS Controllers for BLDC Motor Driven Electric Vehicles
– Measurement: Sensors, Vol. 31, 101001, 2024 (Elsevier, Scopus)

Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

Taylor's University | Malaysia

Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran is an accomplished researcher and academic specializing in Artificial Intelligence, with a strong focus on agent-based systems, intelligent autonomous systems, machine learning applications, smart energy systems, and climate change–related digital intelligence. Her scholarly impact is reflected in an h-index of 16, with 70 research documents generating 899 citations across international indexing platforms, demonstrating sustained influence in AI-driven and interdisciplinary research domains. Her work spans collective intelligence, knowledge transfer models, data mining, educational technologies, and intelligent digitalization, with publications appearing in IEEE conferences, international journals, and Springer book chapters. In addition to academic publishing, she has led significant intellectual property initiatives, including a granted patent on cooperative control systems for unmanned aerial platforms, utility innovations in autonomous multi-UAV task allocation, and copyrighted micro-credential programs. Her research excellence has been recognized through multiple prestigious awards, including international science communication accolades, industry research honors, and selection for global digital leadership programs. With over two decades of academic engagement and active research contributions, her profile reflects a strong integration of theoretical innovation, applied intelligence systems, and impactful scholarly dissemination across AI, energy, education, and digital transformation domains.

Citation Metrics (Scopus)

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400

200

0

Citations
899

Documents
70

h-index
16

 

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View Scopus Profile

Featured Publications

Exploring the Roles of Agents and Multi-Agent in Improving Mobile Ad Hoc Networks
– International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR, 2021

 

Lubin Wang | Computer Science | Best Researcher Award

Mr. Lubin Wang | Computer Science | Best Researcher Award

Guilin Institute of Information Technology | China

Author Profile

Orcid

🎓 Early Academic Pursuits

Mr. Lubin Wang began his academic journey with a Bachelor's degree in Computer Science and Technology at Shanxi Datong University. His early years were marked by active engagement in software development projects, where he not only served as a core developer but also honed critical skills in modular design, teamwork, and leadership. His proactive involvement in both academic and extracurricular technology initiatives laid a strong foundation for his future research career. Notably, he contributed to an open-source database management tool on GitHub that garnered over 2.4k stars, reflecting early promise and innovation.

💼 Professional Endeavors

Following his undergraduate studies, Mr. Wang advanced his expertise by enrolling in a Master's program at Guilin University of Technology, in collaboration with the National Space Science Center of the Chinese Academy of Sciences. Throughout this period, he managed several interdisciplinary projects in high-tech domains including IoT, aerospace data systems, and smart manufacturing. As a project lead and software manager, Mr. Wang took charge of planning, coordinating, and executing complex software systems, displaying not only technical aptitude but also remarkable project governance.

🧠 Contributions and Research Focus

Mr. Wang’s research spans a diverse set of domains unified by a core theme—intelligent systems and automation. He spearheaded the design and implementation of a cloud-based smart printing factory platform that combined neural networks with physical control systems, achieving near-perfect detection accuracy. In the realm of smart cities, he developed a novel traffic-responsive lighting control algorithm and integrated it into a robust management platform supported by SpringBoot and MQTT protocols. His contributions to wind turbine diagnostics involved developing MATLAB-based reliability models, while his work on smart oil testing platforms showcased expertise in OCR, blockchain, and predictive analytics.

🏅 Accolades and Recognition

Mr. Wang has earned numerous accolades that reflect his academic excellence and technical mastery. He secured the First Prize at the National College Student English Vocabulary Challenge in both 2022 and 2023 and was recognized in various programming and language competitions. His academic performance also earned him prestigious scholarships and awards throughout his graduate studies. Beyond these formal recognitions, his influence extends to the online education community, where his Bilibili content channel has amassed thousands of views, demonstrating his ability to communicate complex ideas to broader audiences.

🌍 Impact and Influence

The practical impact of Mr. Wang’s work is far-reaching. His innovations in smart factory and city infrastructure have been piloted at major institutions, contributing to automation, safety, and efficiency. His software and hardware solutions have influenced how industrial faults are detected and managed, while his academic guidance has helped numerous graduate students succeed in their entrance examinations. Mr. Wang’s ability to bridge theory with real-world applications underscores his role as both a thinker and a doer in the field of intelligent systems.

🔮 Legacy and Future Contributions

Looking ahead, Mr. Wang is positioned to continue making transformative contributions to the fields of artificial intelligence, urban computing, and autonomous control systems. His trajectory suggests not only sustained innovation but also leadership in shaping the future of intelligent infrastructure and research-led development. As a mentor, researcher, and technology developer, Mr. Wang is building a legacy defined by curiosity, excellence, and a profound commitment to technological advancement.

Publications


📘 HYFF-CB: Hybrid Feature Fusion Visual Model for Cargo Boxes

Authors: Juedong Li, Kaifan Yang, Cheng Qiu, Lubin Wang, Yujia Cai, Hailan Wei, Qiang Yu, Peng Huang
Journal: Sensors
Year: 2025


📗 BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection

Authors: Long Guo, Lubin Wang (陆斌 王), Qiang Yu, Xiaolan Xie
Journal: Applied Sciences
Year: 2024


📙 DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

Authors: Lubin Wang (陆斌 王), Xiaolan Xie, Peng Huang, Qiang Yu
Journal: Sensors
Year: 2023