Utteja Kallakuri

University of Maryland, Baltimore County

Papers

Total Citations

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About

Utteja Kallakuri is a leading researcher at the intersection of efficient deep learning and edge computing, with a primary focus on optimizing neural network accelerators for micro-AI on-device inference. His seminal survey, "A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference" (2021), has garnered 63 citations and serves as a foundational reference for the field. In this work, Kallakuri systematically addresses the critical challenge of deploying deep neural networks (DNNs) on resource-constrained devices, exploring hardware-software co-design strategies that enable state-of-the-art inference accuracy in computer vision, data analytics, and robotics without cloud dependency. His contributions are particularly impactful for the growing Internet of Things (IoT) and embedded AI sectors, where power and memory limitations demand innovative acceleration techniques. By bridging the gap between algorithmic efficiency and hardware implementation, Kallakuri’s research empowers practical, real-time AI applications at the edge, making him a key figure in advancing micro-AI technologies for next-generation autonomous systems.