Dr sampath korra
CMR Institute of Technology, Jawaharlal Nehru Technological University, Kakinada, Kakatiya University, Vaagdevi College of Engineering
0000-0002-3345-5293
About
Dr Sampath Korra is currently working as an Associate Professor in the Department of CSE (AI&ML) at CMR Institute of Technology, Kandlakoya, Medchal, Hyderabad, India. He completed his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Kakinada (JNTUK, Kakinada), Andhra Pradesh, India, in 2020. He received his M.Tech in CSE from Kakatiya University, Warangal (2006), and a B.Tech in CSIT from JNTU, Hyderabad, in 2004. He qualified for the GATE examination in both 2003 and 2004. He has over 20 years of teaching experience and 14 years of research experience, including his academic career. He has authored 30 research articles in reputed international journals and conferences and 3 textbooks. He holds Sun Certification as a Java Programmer and Microsoft Certified Python Programmer. His current research interests include Software Engineering, Artificial Intelligence, Machine Learning and Bioinformatics
Employment
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CMR Institute of Technology Associate Professor2025 - 2026
Education
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Jawaharlal Nehru Technological University, Kakinada Ph.D2009 - 2020
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Kakatiya University M.Tech2004 - 2006
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Vaagdevi College of Engineering B.Tech2000 - 2004
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Improving brain MRI segmentation of multiple sclerosis using an advanced CNN approach Save
- An Efficient Guided Backpropagation Approach for Detection of Plant Diseases Using Deep Learning Models Save
- An efficient learning based approach for automatic record deduplication with benchmark datasets Save
- Brain CT Image Processing Using U-Net Model with Data Augmentation for Detection of Ischemic and Haemorrhage Strokes Save
- Code-Level Self-adaptive Approach for Building Reusable Software Components Save
- An AI Enabled Framework for Early Detection of Lung Cancer Towards Automated Clinical Decision Support System Save
- Intracranial hemorrhage subtype classification using learned fully connected separable convolutional network Save
- NOVEL TECHNIQUES FOR COMPONENTS CLASSIFICATION AND ADAPTATION Save
- Building Adaptive Software Reusable Components Using Domain Engineering Save
- A framework for software component reusability analysis using flexible software components extraction Save