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
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. 
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. 


