2026Published
A Spiking Neural Network Based Hough Transform Implementation for FPGAs
Aaron Yu, Leonard MacEachern, and Arash Ahmadi
IEEE Transactions on Emerging Topics in Computational Intelligence
Publications
Selected publications and submitted work
2025Published
Low-Cost Spiking Networks on FPGA for Event-Based Gesture Detection
A. Yu, A. Ahmadi, and L. MacEachern
2025 International Symposium on Signals, Circuits and Systems
2026Submitted
Threshold-Based Batch Normalization for Integer-Only Binarized Neural Network Inference
Jonathan Levine and Leonard MacEachern
IEEE Embedded Systems Letters
2026Submitted
Numerically Stable Softmax at the Edge Using a RISC-V Accelerator for IoT Inference
Jesse Levine and Leonard MacEachern
IEEE Embedded Systems Letters
2026Submitted
Projection-Aware Approximation for Efficient AI Accelerators
Leonard MacEachern and Jonathon Levine
2026 IEEE High Performance Extreme Computing Conference, Main Track
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Leonard MacEachern’s personal profile contains the broader publication and patent record across optical links, RFICs, conversion, sensing, wearable systems, and intelligent hardware.
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