About Me
I am an undergraduate student at University of Illinois Chicago (UIC).
I work as a research assistant at
RUIC Lab.
My research focuses on hardware-friendly and robust computer vision,
and efficient edge AI systems.
Research Interests
- Computer Vision
- Efficient Deep Learning
- Edge / Embedded AI
- Robustness & Adversarial ML
Publications
First-Author
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ENTRY: Spiking Event Reasoning for Selective Deep Inference in Event-Driven Edge Vision”
Shayan Gerami, et al.
ACM Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), 2026
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ROAST: Reverse-training Offset Attack on Spatial Sampling Topologies
Shayan Gerami, et al.
ACM/IEEE Design Automation Conference (DAC), 2026 (Late Breaking Results)
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Pixel-Wise Intelligence: Heatmap-Guided Adaptive LBP for In-Sensor Vision Processing
Shayan Gerami, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2026
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SunSift: Solar-Powered Intelligent Sensing Through Informative Sample Selection
Shayan Gerami, et al.
IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2025
Co-Authored
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ARISE: Adaptive Resource-aware Intelligent Sensing Enabling Intermittent Learning
Shayan Gerami, et al.
IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCAS-AI), 2025
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BISen: A Robust Framework for Efficient CNN Inference on Battery-Free Intelligent Sensory Nodes
Shayan Gerami, et al.
IEEE Transactions on Computers (TC), 2025
