Tom Hurst

Papers

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About

Tom Hurst is a researcher whose work bridges acoustics, signal processing, and marine biology, with a focus on advancing autonomous underwater monitoring systems. His key research areas include lossless audio compression, underwater acoustics, and the development of efficient recording technologies for studying vocal aquatic animals. Hurst’s major contribution lies in designing low-complexity compression algorithms that enable real-time, power-efficient sound recording on autonomous listening devices—a critical innovation for extending deployment durations and bandwidth in remote marine environments. His most-cited paper, "Low complexity lossless compression of underwater sound recordings" (2013), has garnered 28 citations, reflecting its foundational role in this niche field. By tackling the trade-off between data fidelity and resource constraints, Hurst’s work has directly supported longer, higher-quality acoustic monitoring of species like whales and dolphins, aiding conservation efforts. His achievements demonstrate a practical engineering approach to solving real-world data bottlenecks, making him a notable contributor to eco-acoustic research and underwater technology.