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

250

150

50

0

Citations
302

Documents
56

h-index
9

Citations

Documents

h-index


View Scopus Profile

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)