Raghavendar | Blockchain Technology | Best Researcher Award

Mr. Raghavendar, Teegala Krishna Reddy Engineering College, India.

K. Raghavendar, a dedicated academic with over 7 years of experience (Teaching: 6, Industrial: 1) in Computer Science and IT, is currently an Assistant Professor at Teegala Krishnareddy Engineering College. He is pursuing a Ph.D. in CSE at Lovely Professional University and holds an M.Tech from Amina Institute of Technology (JNTUH) and a B.Tech from Sree Visvesvaraya Institute of Technology. His expertise spans Cloud Computing, Blockchain Technology, and Machine Learning. With nine international publications, several patents, and active memberships in professional bodies, he continuously strives to contribute to advancements in technology and education.

Publication Profiles

Orcid

Scopus

Education and Experience

Education :

Ph.D. in Computer Science and Engineering, Lovely Professional University, 2024.
M.Tech in Computer Science and Engineering, Amina Institute of Technology (JNTUH), 2015.
B.Tech in IT, Sree Visvesvaraya Institute of Technology & Science (JNTUH), 2012.

Experience :

Assistant Professor, Teegala Krishnareddy Engineering College, 2023–Present.
Assistant Professor, Keshav Memorial Institute of Technology, 2021.
Assistant Professor, Avanthi’s Scientific Technological and Research Academy, 2016–2020

Suitability For The Award

Mr. K. Raghavendar’s remarkable expertise in Cloud Computing, IoT, Blockchain Technology, and Machine Learning, coupled with 9 international publications, 3 patents, and active memberships in reputed research platforms, positions him as a top contender for the Best Researcher Award. His impactful contributions to academia, extensive teaching experience, and innovative research demonstrate his commitment to advancing technology and knowledge in his field.

Professional Development

K. Raghavendar’s professional growth is marked by an impressive portfolio of patents, research contributions, and active memberships in academic platforms like Vidwan, Orcid, and Scopus. His research areas include Cloud Computing, IoT, and Blockchain Technology, highlighted through international book chapters and workshop participation. Recently, he co-authored “Quantum Machine Learning in Cloud-Based Security Services” and actively engages in enhancing academic projects. He has participated in workshops like “AI Tools and Advanced Excel” to refine his teaching and research abilities. His commitment to fostering innovation and education sets him apart in the academic community.

Research Focus

K. Raghavendar’s research focuses on Cloud Computing, IoT, and Blockchain Technology, aiming to address contemporary challenges in data security and privacy. His work includes developing frameworks for secure IoT devices and exploring Machine Learning applications in chronic disease detection and image processing. With patents like “Blockchain-Based Framework for IoT Privacy” and “Machine Learning Classifier for Chronic Kidney Disease,” he demonstrates his expertise in leveraging cutting-edge technologies for real-world problems. His interdisciplinary approach bridges gaps in computational efficiency, making him a pivotal contributor to technological advancements.

Publication Top Notes

“Dynamic RL-ACO: Reinforcement Learning-based Ant Colony Optimization for Load Balancing in Cloud Networks” (2024)
“A robust resource allocation model for optimizing data skew and consumption rate in cloud-based IoT environments” (Cited by 22, 2023)
“Novel Framework for Resources Optimization to Solve Class Imbalance Problems” (2021)