Charanraj Mohan

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About

Charanraj Mohan is pioneering the intersection of soft matter and unconventional computing, with a primary focus on ferrofluids for in-memory computing architectures. His groundbreaking experimental work demonstrates that magnetic fluids—typically studied for energy harvesting, biomedical devices, and soft robotics—can also serve as computational substrates. Mohan’s landmark 2023 paper, “Experimental Demonstration of In‐Memory Computing in a Ferrofluid System,” has garnered 29 citations, establishing him as a leading voice in this nascent field. This work builds on his earlier 2022 study, “Evidence of In-Memory Computing in a Ferrofluid,” which first suggested that these reconfigurable liquids could process and store information without traditional electronics. By proving that ferrofluids can perform logic operations and retain memory states, Mohan challenges conventional boundaries between materials science and computer engineering. His contributions open new pathways for adaptive, bio-inspired computing systems that leverage the fluid’s intrinsic shape reconfigurability. For students and researchers, Mohan’s work exemplifies how exploring fundamental physical properties can lead to paradigm-shifting technologies, merging soft robotics, neuromorphic engineering, and materials physics into a single, elegant platform.