Archana Singh

Hindustan Institute of Technology and Science, Amity University

Papers

Total Citations

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About

Dr. Archana Singh is a computer vision and cybersecurity researcher whose work bridges real-time perception and digital forensics. Her most cited paper, "An image matching and object recognition system using webcam robot" (2016, 15 citations), tackles a foundational challenge in computer vision: establishing reliable correspondence across consecutive image frames. By proposing a precise approach for real-time image matching, she contributed to enabling robots to recognize objects and navigate environments using simple webcams—a practical step toward accessible autonomous systems. In cybersecurity, Dr. Singh’s 2019 systematic review on intrusion detection algorithms (5 citations) addresses the growing need for optimized network forensic analysis, offering a structured framework for collecting and investigating cybercrime evidence. Most recently, her 2023 work on emotion recognition using multimodal fusion models (3 citations) ventures into affective computing, aiming to equip service robots with the ability to understand human emotions—a critical capability for human-robot interaction. Though still early in her career, Dr. Singh’s research demonstrates a consistent focus on making machines more perceptive, whether through visual matching, network threat detection, or emotional intelligence.