Dr. Shaik Rafi Kiran is a distinguished professor in the Department of Electrical and Electronics Engineering (EEE) at SVCE, Tirupathi. With a robust career spanning over 23 years, he is known for his significant contributions to research and academia, particularly in the fields of PV systems, fuel cell modeling, and hybrid electric vehicles. Dr. Kiran is also an active member of several professional organizations, including IEEE and ISTE, and serves as a recognized Ph.D. supervisor at J.N.T. University, Anantapur.

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Dr. Kiran has a substantial academic footprint with numerous publications in high-impact journals and conferences. He has published 35 documents and holds 9 patents. His work has garnered 775 citations, resulting in an h-index of 17, reflecting the quality and impact of his research contributions.

Education

Dr. Kiran earned his Ph.D. from J.N.T.U.A, Ananthapuramu in December 2014. He completed his M.Tech in Control Systems from J.N.T. University, Anantapur, graduating with a 75% distinction. He holds a B.E. in Electrical and Electronics Engineering from Bangalore University, where he achieved a 67% score. Prior to his engineering education, he completed his Intermediate studies with a 77% score and his S.S.C. with an 86% score.

Research Focus

Dr. Kiran’s research interests lie primarily in PV systems, fuel cell modeling, hybrid electric vehicles, soft computing, and optimization techniques. His work often involves designing and optimizing MPPT controllers for renewable energy systems, analyzing the performance of fuel cells in electric vehicles, and developing advanced algorithms for energy management and storage solutions.

Professional Journey

Dr. Kiran began his academic career as a lecturer and steadily advanced to his current position as a professor at SVCE, Tirupathi. His professional journey is marked by continuous learning and a commitment to excellence, reflected in his extensive teaching experience and active participation in professional organizations. He has been a professor at SVCE since April 11, 2016, where he continues to inspire and mentor students and colleagues.

Honors & Awards

Dr. Kiran has received several accolades for his research and professional achievements. Notably, he was honored with the Researcher Award from PARA Awards 2023, Pondicherry, and was recognized as an Emerging Leader in Engineering by the Venus International Foundation in 2018. These awards underscore his contributions to engineering education and research.

Publications Noted & Contributions

Dr. Kiran has authored numerous high-impact publications. Some notable ones include articles in Scientific Reports (Nature) and Elsevier’s Materials Today: Proceedings. His research often addresses innovative solutions for renewable energy systems, including the design of MPPT controllers and high step-up power converters for fuel cell applications. His publications reflect a strong focus on advancing technology in the energy sector.

Application of LoRa Network for Data Transmission in Intelligent Smart Grid Systems (2024)

DOI: 10.1007/978-981-99-7622-5_9 Contributors: K. Soham, V. Dhaval, C. Dhanamjayulu, Shaik Rafikiran, C. H. Hussaian Basha, V. Prashanth

Summary:

This book chapter discusses the application of Low Power Wide Area Network (LoRa) technology in smart grid systems. LoRa offers long-range communication with low power consumption, making it suitable for transmitting data in smart grid environments. The chapter details the integration of LoRa with intelligent systems to enhance data transmission efficiency, reliability, and overall grid performance.

A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter (2024-03-12)

DOI: 10.1155/2024/9196747 Contributors: Shaik Rafikiran, C. H. Hussaian Basha, C. Dhanamjayulu, Youcef Belkhier

Summary:

This journal article presents a novel hybrid Maximum Power Point Tracking (MPPT) controller for Proton Exchange Membrane Fuel Cells (PEMFC) feeding a high step-up single switch DC-DC converter. The hybrid MPPT controller improves the efficiency of power conversion by optimizing the energy extraction from PEMFCs. The proposed system aims to address the challenges of high step-up voltage requirements in renewable energy applications.

Design and Analysis of Genetic Algorithm Optimization-Based ANFIS Controller for Interleaved DC-DC Converter-Fed PEMFC System (2023)

DOI: 10.1007/978-981-19-9225-4_1 Contributors: CH Hussaian Basha, Shaik. Rafikiran, M. Narule, G. Devadasu, B. Srinivasa Varma, S. Naikawadi, A. Kambire, H. B. Kolekar

Summary:

This book chapter explores the design and analysis of an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller optimized using a genetic algorithm for an interleaved DC-DC converter fed by a PEMFC system. The combination of ANFIS and genetic algorithms aims to enhance the control performance and efficiency of the power conversion system, providing a robust solution for managing PEMFC outputs.

IoT Application on Home Automation with Smart Meter (2023)

DOI: 10.1007/978-981-99-4577-1_43 Contributors: M. D. Sastika, Shaik. Rafikiran, K. Manaswi, C. Dhanamjayulu, CH Hussaian Basha, V. Prashanth

Summary:

This book chapter examines the application of Internet of Things (IoT) technology in home automation systems, focusing on smart meters. The integration of IoT with smart meters allows for real-time monitoring, data collection, and analysis of energy consumption. The chapter discusses the potential of these systems to optimize energy usage, reduce costs, and enhance the convenience and security of home environments.

Performance Analysis of Satellite Image Classification Using Deep Learning Neural Network (2023)

DOI: 10.1007/978-981-99-1431-9_3 Contributors: CH Hussaian Basha, J. Prajakta, V. Prashanth, Shaik Rafikiran, V. S. Patil, B. Srinivasa Varma, S. P. Shweta

Summary:

This book chapter focuses on the classification of satellite images using deep learning neural networks. The performance analysis involves evaluating different neural network architectures and training methods to improve classification accuracy. The study demonstrates the effectiveness of deep learning techniques in processing and analyzing satellite imagery, with applications in environmental monitoring, urban planning, and disaster management.

Relevance:

Each of these works contributes significantly to their respective fields. The application of LoRa in smart grids and IoT in home automation shows the integration of modern communication technologies in energy systems. The novel MPPT controllers and optimization techniques for PEMFC systems advance renewable energy technologies. Finally, the use of deep learning for satellite image classification highlights the impact of artificial intelligence in remote sensing and data analysis.

These contributions reflect ongoing efforts to innovate and improve efficiency, reliability, and functionality in various technological and scientific domains.

Research Timeline

Dr. Kiran’s research timeline showcases a consistent output of high-quality work. Since 2021, he has published several influential papers annually, contributing to advancements in renewable energy and electric vehicle technology. His recent work includes significant papers published in 2023 and 2024, emphasizing hybrid optimization MPPT controllers and high step-up power converters for fuel cell systems.

Collaborations and Projects

Throughout his career, Dr. Kiran has collaborated with various academic and research institutions. He has guided numerous M.Tech and B.Tech projects, with a focus on practical applications of his research in PV systems and fuel cells. He is currently guiding a Ph.D. scholar on a project related to power loss minimization in electrical distribution networks. Dr. Kiran’s collaborative projects often involve interdisciplinary approaches, combining expertise in electrical engineering, optimization techniques, and renewable energy systems.

Contributions to the Field

Dr. Kiran’s contributions to the field of electrical engineering are significant. His research has led to the development of innovative solutions for improving the efficiency and performance of renewable energy systems. His work on MPPT controllers and fuel cell modeling has been widely recognized and cited, influencing both academic research and practical applications in the energy sector. Through his publications, patents, and guided projects, Dr. Kiran continues to make impactful contributions to the advancement of sustainable energy technologies.