Srinivasu

SrinivasuParvathaneni Naga Srinivasu has procured his bachelor degree in computer science engineering from SSIET, JNTU Kakinada in the year 2011 and a Master's Degree in Computer Science Technology in 2013 from Gitam University, Visakhapatnam. He has earned hs Ph.D. degree after successfully defending his thesis, entitled "An Investigative Analysis of Automated Segmentation Approaches for Volumetric Estimation of damaged Regions in Astrocytoma cases Identified from the 2D Brain MR Image" at GITAM (Deemed to be University) and his areas of research include Biomedical Imaging, Image Enhancement, Image Segmentation, Object Recognition, Image Encryption, Optimization Algorithms, Soft computing, and Natural Language Processing. He is working as an Assistant Professor at the Department of Computer Science and Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam. He is a member of CSI, IAENG, IARA and a regular reviewer for Scopus indexed journals like JCS and IJAIP, Inderscience. He is a guest editor for the special issues and books that are published by reputed publishers like Bentham Science, Springer, and Elsevier. He is a passionate researcher and his articles have been published in national and international journals alongside conferences. Read More Read Less

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Enabling Person-Centric Healthcare Using Ambient Assistive Technology37 %
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Low-Complexity Arithmetic Circuit Design in Carbon Nanotube Field Effect Transistor Technology37 %
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Low-Complexity Arithmetic Circuit Design in Carbon Nanotube Field Effect Transistor Technology37 %
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Microfinance: Strategies and Alternatives36 %
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Periodic Solutions of First-Order Functional Differential Equations in Population Dynamics43 %
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Periodic Solutions of First-Order Functional Differential Equations in Population Dynamics37 %
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Principles and Methods of Explainable Artificial Intelligence in Healthcare38 % NR
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BMA's Reasoning Trainer Class - 7
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BMA's Reasoning Trainer Class - 5
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BMA's Reasoning Trainer Class - 9
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Enabling Person-Centric Healthcare Using Ambient Assistive Technology4 % NR
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Artificial Intelligence Applications for Brain-Computer Interfaces2 % NR
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