Archana Sehgal

Papers

Total Citations

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About

Archana Sehgal is a rising researcher in the field of computer vision and deep learning, with a focused expertise in underwater image enhancement. Her most-cited work, "Advancing Underwater Image Enhancement Using Hybrid Deep Learning Models" (2025), tackles the formidable challenges of color distortion, poor visibility, and noise from light absorption and dispersion that plague underwater imagery. By developing hybrid deep learning architectures, Sehgal directly addresses the critical need for clearer, more accurate visual data in marine research, enabling better analysis of aquatic ecosystems. Though early in her career, with this paper already accumulating 3 citations, her work signals a promising trajectory in applying advanced AI to solve real-world environmental imaging problems. Her contributions are particularly significant for fields like marine biology and oceanography, where reliable image analysis is essential for studying underwater life and habitats. Sehgal’s research stands at the intersection of artificial intelligence and environmental science, offering practical solutions that could transform how researchers capture and interpret the hidden world beneath the waves.