Jeelka Solanki

University at Albany, State University of New York

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About

Jeelka Solanki is a rising researcher at the forefront of neuromorphic and in-memory computing (IMC), with a focus on hardware acceleration for energy-efficient artificial intelligence. Her work centers on leveraging Resistive Random Access Memory (ReRAM) to overcome the von Neumann bottleneck, enabling vector matrix multiplication (VMM) directly within memory arrays. In her notable 2024 paper, "In-Memory Computation Using CMOS-Integrated Resistive RAM for Robotic Navigation," Solanki demonstrates how ReRAM-based IMC can dramatically reduce energy consumption for neural networks deployed in real-time robotic navigation. Though early in her career, her contributions are already gaining traction, with this work accumulating 2 citations and signaling a promising trajectory. Solanki’s research bridges the gap between emerging non-volatile memory technologies and practical AI systems, offering a pathway to low-power, high-performance edge computing. Her achievements highlight a deep commitment to advancing hardware solutions that make autonomous systems more efficient, positioning her as a key voice in the next generation of computing architecture innovation.