Manasi Muglikar

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About

Manasi Muglikar is a researcher at the forefront of computational imaging, specializing in novel camera architectures that push the boundaries of speed and sensitivity. Her work masterfully bridges the gap between event-based vision and single-photon avalanche diode (SPAD) technology, addressing a fundamental challenge in modern imaging: the trade-off between low-light performance and high-speed capture. In her highly cited 2025 paper, "Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging," Muglikar introduces a groundbreaking hybrid approach that overcomes the limitations of traditional burst photography, which struggles with motion blur and Poisson noise in low-light conditions. By synergizing the asynchronous, high-temporal-resolution output of event cameras with the photon-counting capabilities of SPADs, she demonstrates a system capable of capturing crisp, high-speed images even in dim environments, all while maintaining remarkably low data bandwidth. This work, already garnering significant attention with 4 citations in its first year, represents a major step toward practical, always-on vision systems for applications ranging from autonomous navigation to scientific imaging. Muglikar’s research is not merely incremental; it redefines what is possible when we rethink the fundamental sensor stack.