Aruna Kumari Kakumani

About

Dr. Aruna Kumari Kakumani has 20 years of teaching experience in Electronics and Communication Engineering. She is pursing research in the field of Computer Vision from Jawaharlal Nehru Technological University, Hyderabad, India. Her research interests include Image Segmentation and tracking using Deep Learning techniquies.

Employment

• VNR Vignana Jyothi College of Engineering and Technology Assistant Professor
  2007 - Present

Education

• JNTU College of Engineering M.Tech
  2004 - 2006
• V R Siddartha engineering college B.Tech.
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• MRI-based Brain Tumor Segmentation Using Ensemble of Hybrid Deep Learning Models
  International Conference on Inventive Computation Technologies (ICICT) 2026 DOI: 10.1109/ICICT68280.2026.11511034
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• Vision Transformers for Retinal Disease Classification using Optical Coherence Tomography Images
  Iccece 2025 International Conference on Computer Electrical and Communication Engineering 2025 DOI: 10.1109/ICCECE61355.2025.10941428
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• A Comparative Analysis for Leukocyte Classification Based on Various Deep Learning Models Using Transfer Learning
  Emerging Technology (INCET), International Conference for 2023 DOI: 10.1109/INCET57972.2023.10170443
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• An Ensemble Learning Approach For Improved Skin Cancer Classification
  International Conference on Computing Communication and Networking Technologies (ICCCNT) 2023 DOI: 10.1109/ICCCNT56998.2023.10306934
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• Image Enhancement with Deep Learning and Intensity Transformation of No-Reference Grayscale Fluorescence Microscopy Images
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-99-0601-7_31
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• Inception Inspired U-Net for Effective Segmentation of Microscopy Images
  International Conference on Computing Communication and Networking Technologies (ICCCNT) 2023 DOI: 10.1109/ICCCNT56998.2023.10308004
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• Semantic Segmentation of Cells in Microscopy Images via Pretrained Autoencoder and Attention U-Net
  2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS) 2022 DOI: 10.1109/mlcss57186.2022.00025
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• Segmentation of Cell Nuclei in Microscopy Images using Modified ResUNet
  2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) 2022 DOI: 10.1109/gcat55367.2022.9971978
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• BRB U-Net: Bottleneck Residual Blocks in U-Net for Light-Weight Semantic Segmentation
  International Journal of Computer Applications 2022 DOI: 10.5120/ijca2022922430
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• DEEP LEARNİNG ARCHİTECHTURE FOR CLASSİFİCATİON OF BREAST CANCER CELLS İN FLUORESCENCE MİCROSCOPY IMAGES
  International Journal of Advanced Research in Computer Science 2022 DOI: 10.26483/ijarcs.v13i6.6921
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