Syrine Belakaria
Papers
1
Total Citations
31
H-Index
1
About
Dr. Syrine Belakaria is a leading researcher at the intersection of machine learning, optimization, and energy-efficient computing, with a primary focus on enabling advanced AI on resource-constrained mobile and edge platforms. Her most cited work, “Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models” (2020, 31 citations), introduces a groundbreaking approach for dynamically balancing inference accuracy and energy consumption in real-time. By leveraging pretrained deep models, Belakaria’s method allows systems—from object detection to smart health devices—to intelligently adjust their performance on the fly, a critical capability for battery-powered applications. This contribution directly addresses the fundamental challenge of deploying complex neural networks on energy-limited hardware without sacrificing usability. Beyond this, her research spans multi-objective Bayesian optimization and adaptive resource management, earning her recognition for advancing practical, deployable AI solutions. With her work cited by engineers and academics alike, Belakaria is shaping the future of efficient, real-world artificial intelligence, making her a pivotal figure for students and researchers interested in sustainable, high-performance edge computing.
Research Focus
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Top Papers
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