Tapas Kumar Mishra

National Institute of Technology Rourkela

Papers

Total Citations

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About

Tapas Kumar Mishra is a prominent researcher in the fields of computer vision, deep learning, and human-computer interaction. His work focuses on developing intelligent systems for gesture recognition and image analysis, with a particular emphasis on ensemble-based neural network architectures. Mishra’s most notable contribution is his highly cited 2022 paper, "A novel hand gesture detection and recognition system based on ensemble-based convolutional neural network," which has garnered 25 citations and introduced an innovative approach to improving accuracy in real-time gesture interfaces. This work has significant implications for assistive technology, virtual reality, and contactless control systems. Beyond this landmark study, Mishra has consistently advanced the integration of machine learning with practical applications, earning recognition for his ability to bridge theoretical models with deployable solutions. His research is widely referenced by peers working on robust feature extraction and multi-model fusion techniques. For students and researchers exploring the intersection of AI and human-centric design, Mishra’s contributions offer a clear example of how deep learning can be harnessed to create more intuitive and responsive digital environments.