O Obulesu
G.Narayanamma Institute of Technology & Science, G Narayanamma Institute of Technology and Science for Women, Sree Vidyanikethan Engineering College
About
Dr. O. Obulesu is currently working as Associate Professor & HOD in the Department of Computer Science and Engineering (AI&ML) and CSE (Data Science) at G.Narayanamma Institute of Technology & Science for Women w.e.f. 01-02-2021. He published more than 20 international publications and 31 presented papers in international/national conferences. he was published & granted 5 patents including 8 NPTEL certifications on latest areas. He was conducted AICTE Sponsored ICICC-22 conference at GNITS, Hyderabad as a program Co-Coordinator under GOC scheme. He was a reviewer for DST-POWER grant proposal. He was a reviewer for "IEEE Transactions on Neural Networks and Learning systems". He was applied 8 proposals for various funding agencies few of them in review stage. He received Best Professor award, Best paper award, PG Topper Gold Medal. He has given more than 20 guest lectures in the areas of data mining, DBMS, Software Testing tools, Data Science using R and Python, Statistical Analysis using R etc.
Employment
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G.Narayanamma Institute of Technology & Science Associate Professor2021 - Present
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G Narayanamma Institute of Technology and Science for Women Associate Professor2021 - Present
Education
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Sree Vidyanikethan Engineering College Ph.D.2009 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (57)
- An implementation of GAN analysis for criminal face identification system Save
- Secure aware software development life cycle on medical datasets by using firefly optimization and machine learning techniques Save
- An Industry Framework for Remote Health Monitoring using Machine Learning Models to Predict a Disease Save
- Early Prediction of Healthcare Diseases Using Machine Learning and Deep Learning Techniques Save
- The Adaptive Strategies Improving Digital Twin Using the Internet of Things Save
- Deep convolution neural networks learned image classification for early cancer detection using lightweight Save
- Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator Save
- Machine Learning Techniques and Tools: Merits and Demerits Save
- Diabetes Prediction using Machine Learning Techniques Save
- Energy Saving using Green Computing Approach for Internet of Thing (IoT) based Tiny Level Computational Devices Save