Leonard MacEachern

Associate Professor and Chair
Department of Electronics, Carleton University

I study how information survives the physical and computational constraints between a real-world signal and a useful decision. My work spans high-speed optical and electrical interfaces, data conversion, intelligent hardware, detector electronics, and the models and correction methods that connect them.

leonard.maceachern@carleton.ca

MOSAIC Group

MOSAIC—Microelectronics, Optoelectronics, Sensing, and Adaptive Intelligent Circuits—connects high-speed optical and copper interfaces, precision data conversion, radiation-aware and event-based sensing, and neuromorphic or AI-assisted circuit design. Across these domains, the group shares one method: model physical behaviour, correct distortion or drift in hardware, and observe whether the correction remains valid over time.

Meet the group and explore current projects

Selected publications

2026A Spiking Neural Network Based Hough Transform Implementation for FPGAsIEEE TETCI — Early Access, DOI 10.1109/TETCI.2026.3683795
2025Low-Cost Spiking Networks on FPGA for Event-Based Gesture DetectionISSCS — published record
2023Accelerating Training Data Generation Using Optimal Parallelization and Thread CountsIEEE HPEC — accepted record

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Recent research

New and Upcoming

Invited presentations

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Upcoming research

Before engaging students in a new research direction, I undertake my own in-depth investigation of its foundations, literature, and technical possibilities. Topics now under development include:

Fundamental magnetism formulations
Analog-to-digital converter sampling kickback
Clock translocation

Institutional links