Aaryan Oberoi
Papers
1
Total Citations
241
H-Index
1
About
Aaryan Oberoi is a researcher at the forefront of neuromorphic engineering and low-power electronics, with a focus on developing bio-inspired sensory systems. His most impactful work, a 2020 paper on a low-power biomimetic collision detector based on an in-memory molybdenum disulfide photodetector, has garnered 241 citations, highlighting its significance in advancing energy-efficient, brain-like computing. Oberoi’s major contributions lie in integrating two-dimensional materials, such as molybdenum disulfide, with in-memory computing architectures to create compact, high-performance devices that mimic biological vision and collision avoidance. This work has profound implications for autonomous systems, robotics, and edge computing, where low power consumption is critical. His research bridges materials science, device physics, and neural-inspired algorithms, offering a pathway to more efficient artificial intelligence hardware. Oberoi’s achievements have been recognized for their novelty and potential to revolutionize sensor technology, making him a rising figure in the field of neuromorphic photonics and nanoscale electronics.
Research Focus
Key Achievements
Top Papers
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