0000-0002-8419-7386 About
Dr. K. Kranthi Kumar is an accomplished professional in the field of technology and research, with a diverse educational background and a significant contribution to the fields of Deep Learning, Machine Learning, and IoT. With a Ph.D., M.Tech, and B.Tech, Dr. Kumar has a strong foundation in both theoretical knowledge and practical applications.
Dr. Kranthi Kumar's academic journey began with a B.Tech degree, laying the groundwork for a lifelong pursuit of knowledge and innovation. Subsequently, he pursued an M.Tech degree, further enhancing his expertise in technology and engineering. His educational journey reached its zenith with the completion of a Ph.D., reflecting his commitment to advanced research and development.
Throughout his career, Dr. Kumar has been actively involved in cutting-edge research and has made valuable contributions to the fields of Deep Learning, Machine Learning, and IoT. He is the author of 4 scientific publications and 13 articles in Scopus, demonstrating his dedication to staying at the forefront of technological advancements. His work has undoubtedly added depth and insight to these rapidly evolving fields.
Dr. K. Kranthi Kumar's contributions extend beyond his academic and research endeavors. He has not only acquired knowledge but also actively shared it with the scientific community, furthering the collective understanding of these complex domains.
His impressive qualifications, prolific research output, and passion for advancing technology underscore his position as a respected expert in Deep Learning, Machine Learning, and IoT. Dr. Kranthi Kumar's work serves as an inspiration to aspiring researchers and professionals alike, and his journey continues to be a testament to the power of education, dedication, and innovation in shaping the future of technology.
Employment
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Vasireddy Venkatadri Institute of Technology Associate Professor2021 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (38)
- A Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired Algorithms Save
- Enhancement of patient's health prediction system in a graphical representation using digital twin technology Save
- Enhancing Security in Wireless Mesh Networks: A Deep Learning Approach to Black Hole Attack Detection Save
- GDLAVID-graph-based Deep Learning Approach for Automatic Violence Detection in Videos Save
- Spine X-Ray-Based Osteoporosis Detection Using Deep Learning Techniques Save
- The Role of Machine Learning in 6G Wireless Networks: A Comprehensive Overview Save
- An Optimized Deep Wavelet Autoencoder System for Detecting Tumors in Brain Save
- ECPX: Empowering Commodity Price Prediction Using XGBoost Algorithm Save
- Graph-based zero-shot learning for classifying natural and computer-generated image Save
- Wearable Location Tracker During Disaster using AI and IoT Save