Konda Hari Krishna

Papers

Total Citations

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About

Konda Hari Krishna is an emerging researcher in artificial intelligence and human-computer interaction, with a primary focus on deep learning applications in computer vision and brain-computer interface (BCI) systems. His most cited work, "A review approach on deep learning algorithms in computer vision" (2023), has garnered 10 citations and provides a comprehensive analysis of how deep learning architectures—through distributed hierarchical representations—are revolutionizing visual data processing. This review serves as a valuable resource for understanding the role of massive datasets in powering modern AI systems. In his earlier pioneering work, "Brainwave Controlled Robot Using Bluetooth" (2014), with 6 citations, Krishna explored non-invasive BCI technologies that translate neural signals into direct device control, bypassing traditional muscle-based communication. This research demonstrated practical applications for assistive technologies, enabling individuals with motor impairments to interact with physical devices using thought alone. Krishna’s work bridges theoretical advances in deep learning with tangible BCI implementations, contributing to the growing field of intelligent, human-centered autonomous systems. His interdisciplinary approach continues to inspire students and researchers exploring the frontiers of AI-driven human-machine collaboration.