Dr.Puranam Revanth Kumar | Artificial Intelligence and Machine Learning | Best Researcher Award

Assistant Professor Malla Reddy University, Hyderabad, India. 

Dr. Puranam Revanth Kumar is an Assistant Professor at Malla Reddy University, Hyderabad, specializing in Artificial Intelligence and Machine Learning. His research focuses on image processing, deep learning, and biomedical imaging, with significant contributions to neuroimaging. He holds a Ph.D. in Electronics and Communication Engineering from ICFAI University, Hyderabad.

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📚 Education

• Ph.D., Electronics and Communication Engineering, ICFAI University, Hyderabad, India, 2019-2024.
• M.Tech, Control and Instrumentation, AMRITA University, Coimbatore, India, 2017-2019.
• B.Tech, Electronics and Instrumentation, GITAM University, Hyderabad, India, 2012-2016.

👨‍💼 Experience

• Assistant Professor, Department of Artificial Intelligence and Machine Learning, Malla Reddy University, Hyderabad, India (2024-present).
• LabVIEW Software Trainee, Optomech Engineers Pvt. Ltd., Hyderabad, India (2018-2019).

🔍 Research Interests

Dr. Kumar’s research interests include image processing, deep learning, machine learning, neuroimaging, biomedical imaging, and artificial intelligence applications in healthcare.

🏆 Award

• Deep Learning Award, NPTEL.
• Machine Learning Award, Coursera.
• MATLAB on-ramp Award, MathWorks.

📄 Publications

• Journal Articles:
  • Spatial Attention UNet Model with Harris Hawks Optimization for Retinal Blood Vessel and Optic Disc Segmentation in Fundus Images, International Ophthalmology, 2024.
  • Automated Human Brain Tissue Segmentation from Clinical MRI Images, Intelligent Medicine, 2024.
  • BrainHyperintensities: Automatic Segmentation of White Matter Hyperintensities in Clinical Brain MRI Images, The Journal of Supercomputing, 2024.
  • Inpainting Non-Anatomical Objects in Brain Imaging using Enhanced Deep Convolutional Autoencoder Network, Sadhana, 2024.
  • Brain disorders: Impact of mild SARS-CoV-2 may shrink several parts of the brain, Neuroscience & Biobehavioral Reviews, 2023.
• Conference Proceedings:
  • Segmentation of White Matter Lesions in MRI Images Using Optimization-based Deep Neural Network, 4th International Conference on Image Processing and Capsule Networks, 2023.
  • Spreading Factor Optimization for Interference Mitigation in Dense Indoor LoRa Networks, IEEE IAS Global Conference on Emerging Technologies, 2023.