Dr. Nuthanakanti Bhaskar
CMR Technical Campus, Balaji Institute of Technology and Science, Jawaharlal Nehru Technological University Hyderabad College of Engineering, Kakatiya University, Board of Intermediate Education A.P
0000-0001-9852-1004
About
Dr. Nuthanakanti Bhaskar currently working as HOD and Associate Professor of Computer Science and Engineering Department at CMR Technical Campus, Hyderabad, India. He obtained his Ph.D. in Computer Science and Engineering at Visvesvaraya Technological University, Belagavi, India. He obtained his M. Tech. in Computer Science and Engineering from JNTU Hyderabad, India, and B. Tech. in Computer Science and Engineering from Kakatiya University, Kothagudem, India. He has 15 years of teaching and research experience. He has published over 60 research articles in peer-reviewed national and international journals and conferences, 3 Grants, 6 Patents and 3 Books published. He is a member of various national and International Professional Societies and received the "Longest Continuous SBC" award twice under CSI Academic Awards. He reviewed IEEE and Springer Conference papers. His research interests include Computer Vision and Machine Learning, Biometrics, Image Processing, Medical Image Processing with Deep Learning.
Employment
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CMR Technical Campus Associate Professor2011 - Present
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Balaji Institute of Technology and Science Assistant Professor2008 - 2011
Education
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Jawaharlal Nehru Technological University Hyderabad College of Engineering M.Tech2008 - 2010
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Kakatiya University B.Tech2002 - 2006
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Board of Intermediate Education A.P Intermediate1999 - 2001
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Board of Secondary Education A.P SSC? - 1999
Projects & Funding
Projects & funding information is unavailable.
Publications (92)
- Detection of Pre-Cancerous Conditions in Oral Cancer Progression Save
- A Dual Approach for Optimizing Breast Cancer Mammogram Classification using ResNet50, SMOTE, CNN and LSTM Save
- The Reduction of Hadoop Map While Maintaining the Privacy and Balancing Dynamic Demand Across Data Notes Save
- Self-Explaining Neural Architecture Algorithms Via Integrated Gradient Attribution Save
- Optimal IoT application placement using quantum inspired evolutionary algorithm in fog computing environment Save
- A Novel Approach for Monitoring and Controlling Energy in Smart Homes Save
- Food Recognition and Calorie Estimation Using AI Save
- Federated Learning for Flood Forecasting: Secure and Scalable Prediction Models Using FFNN and CNN2D Algorithms Save
- Design of an Interpretable ML Framework for Automated Stroke Prediction with Web Access for Early Action Save
- Autonomous Landing Scene Recognition Based on Transfer Learning for Drones Save