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Dr. K. Ashwini

Assistant Professor, School of Computing, Amaravati

Qualification: B. Tech., M.Tech., Ph.D
k_ashwini@av.amrita.edu
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Research Interest: Medical Image Analysis, Computer Vision, Deep Learning, Machine Learning

Bio

Dr. K. Ashwini currently serves as a Assistant Professor at the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amaravati campus.

Publications

Conference Proceedings

Year : 2026

SR-DETR: Super-Resolution Enhanced Detection Transformer for Small Object Detection in Drone Imagery

Cite this Research Publication : Nikhitha Bramarambica Peethala, Bandarupalli Bhanu Prakash, Harsha Vardhan Rapeti, K Ashwini, SR-DETR: Super-Resolution Enhanced Detection Transformer for Small Object Detection in Drone Imagery, 2026 Fourth International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), IEEE, 2026, https://doi.org/10.1109/icaiss68683.2026.11526103

Publisher : IEEE

Year : 2023

Grading of Diabetic Retinopathy using iterative Attentional Feature Fusion (iAFF)

Cite this Research Publication : Shroddha Goswami, K Ashwini, Ratnakar Dash, Grading of Diabetic Retinopathy using iterative Attentional Feature Fusion (iAFF), 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2023, https://doi.org/10.1109/icccnt56998.2023.10307892

Publisher : IEEE

Year : 2022

Soft attention with Convolutional Neural Network for Grading Diabetic Retinopathy

Cite this Research Publication : K. Ashwini, Ratnakar Dash, Soft attention with Convolutional Neural Network for Grading Diabetic Retinopathy, 2022 IEEE 19th India Council International Conference (INDICON), IEEE, 2022, https://doi.org/10.1109/indicon56171.2022.10039843

Publisher : IEEE

Year : 2020

Application of Generalized Possibilistic Fuzzy C-Means Clustering for User Profiling in Mobile Networks

Cite this Research Publication : K. Ashwini, Suvasini Panigrahi, Application of Generalized Possibilistic Fuzzy C-Means Clustering for User Profiling in Mobile Networks, Advances in Intelligent Systems and Computing, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-1084-7_23

Publisher : Springer Singapore

Year : 2019

A Comparison of Ensemble Classifiers used for Detection of Superimposed Fraud

Cite this Research Publication : K. Ashwini, Suvasini Panigrahi, A Comparison of Ensemble Classifiers used for Detection of Superimposed Fraud, 2019 Global Conference for Advancement in Technology (GCAT), IEEE, 2019, https://doi.org/10.1109/gcat47503.2019.8978406

Publisher : IEEE

Journal Article

Year : 2024

Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples

Cite this Research Publication : K Ashwini, Ratnakar Dash, Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples, Computers and Electrical Engineering, Elsevier BV, 2024, https://doi.org/10.1016/j.compeleceng.2024.109782

Publisher : Elsevier BV

Year : 2023

Grading Diabetic Retinopathy using Multiresolution based CNN

Cite this Research Publication : K Ashwini, Ratnakar Dash, Grading diabetic retinopathy using multiresolution based CNN, Biomedical Signal Processing and Control, Elsevier BV, 2023, https://doi.org/10.1016/j.bspc.2023.105210

Publisher : Elsevier BV

Conference Paper

Year : 2023

Modified InceptionV3 Using Soft Attention for the Grading of Diabetic Retinopathy

Cite this Research Publication : Shroddha Goswami, K Ashwini, Ratnakar Dash, Modified InceptionV3 Using Soft Attention for the Grading of Diabetic Retinopathy, Communications in Computer and Information Science, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-37940-6_15

Publisher : Springer Nature Switzerland

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