hvasired@gitam.edu
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Hemanth Kumar Vasireddi, from Vizianagaram, Andhra Pradesh, is pursuing a Ph.D. and has submitted his thesis at NIT Silchar. His research focuses on Deep Learning, Computer Vision, and Medical Imaging. He is skilled in understanding and coding PL/SQL and SQL concepts, with decent query-writing abilities for ORACLE databases, aligning with business requirements.
Research Publications
- DR-XAI: Explainable Deep Learning Model for Accurate Diabetic Retinopathy Severity Assessment in Arabian Journal for Science and Engineering., SCIE (2024) ,doi: https://doi.org/10.1007/s13369-024-08836-7
- An enumerative pre-processing approach for Retinopathy severity grading using an interpretable classifier: A Comparative Study in Graefe’s Archive for Clinical and Experimental Ophthalmology., SCIE (2024), doi: https://doi.org/10.1007/s00417-024-06396-y
- Deep feed forward neural network-based screening system for diabetic retinopathy severity classification using the lion optimization algorithm in Graefes Arch Clin Exp Ophthalmol. SCIE(2021), doi: doi: 10.1007/s00417-021-05375-x
- DR-HIPI: Performance evaluation of retinal images for DR lesion segmentation using the HIPI architecture in Accelerating Discoveries in Data Science and Artificial Intelligence II, Springer Proceedings in Mathematics & Statistics 438. SCOPUS (2024) doi: https://doi.org/10.1007/978-3-031-51163-9_14
- An ideal big data architectural analysis for medical image data classification or clustering using the map-reduce framework in ICCCE . SCOPUS (2020), doi: https://doi.org/10.1007/978-981-15-7961-5_134
Expertise
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Computer Vision
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Deep Learning
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Image Processing
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Medical Imaging
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Big Data Analytics
