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Vikas Agnihotri

Independent Aerospace and Neuromorphic Systems Researcher

Builder The claim is about what the hardware does, and the philosophy is left open

Vikas Agnihotri is a systems researcher and co-author, with Suresh Kumar TP, of the October 2026 paper “Neuromorphic Satellite Intelligence: A Comprehensive Architectural, Algorithmic, and System-Level Framework” (arXiv:2610.12471). His work formalizes the trade-off between onboard autonomy and the strict power, mass, and ionizing-radiation envelopes of orbital platforms.

The paper introduces a sparsity-parameterized energy model and a radiation-induced energy overhead model that accounts for single-event upsets across four hardware classes (Rad-Neu, NeuHybrid, DEC Nodes, and NeuroSoC). Across three quantified mission designs, a 12U Earth-observation CubeSat in low Earth orbit, a geostationary communications payload, and an autonomous deep-space probe beyond 2 AU, the framework shows how event-driven spiking computation eliminates the 60 to 80 percent DRAM data-movement tax of conventional von Neumann accelerators.

Agnihotri’s profile is Builder, anchoring the hardware and radiation-tolerance analysis for event-driven neuromorphic substrates in space.

Known for. Neuromorphic Satellite Intelligence framework, radiation-induced energy overhead model for spiking neural hardware, constrained on-orbit STDP

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