An academic optoelectronics and microelectronics workbench with optical fibre, wafer, microscope, circuit board, probes, and oscilloscope

Building intelligent systems from photons to algorithms in silicon.

We connect physical phenomena, sensing, circuits, conversion, hardware architecture, and intelligent computation—then make the whole system observable and adaptive.

From photon to bit to decision.

About

What MOSAIC means

MOSAIC stands for Microelectronics, Optoelectronics, Sensing, and Adaptive Intelligent Circuits. The first three terms identify the group’s technological domains; the final three describe the unifying direction from physical interfaces toward intelligent hardware behaviour.

Microelectronics anchors work in silicon, mixed-signal circuits, data conversion, FPGA and ASIC realization. Optoelectronics includes photonic devices, optical interconnect, microrings, and light–matter interfaces. Sensing includes electronic, optical, event-based, radiation-aware, and multimodal front ends.

Adaptive Intelligent Circuits extends beyond conventional AI. It includes hardware that measures its own behaviour, corrects nonidealities, learns from changing conditions, reallocates resources, or performs inference close to the physical interface.

The ordinary meaning of mosaic also describes the group: distinct technologies, disciplines, methods, and researchers retain their identities while contributing to a coherent physical-to-intelligent hardware stack. Across these areas, the recurring method is to model the physical structure, measure departures from the model, correct them in hardware, observe whether the correction remains valid, and adapt when conditions change.

The nine-tile logo represents sensing, propagation, circuits, observation, silicon realization, photonics, architectures, intelligence, and conversion. Its spectrum of colours refers to optics and Newton’s ROYGBIV spectrum, inclusion and belonging, and the rainbow as a symbol of promise and continuity.

Meet group director Leonard MacEachern
Physical phenomenonSensingRepresentationComputationAdaptationDecision

People

Current MOSAIC students

Twelve current and confirmed incoming graduate students work across detector physics, analog circuits, data conversion, photonics, FPGA and ASIC hardware, neuromorphic systems, and signal intelligence.

Student directory

News

Group news

All news

22 July 2026

MOSAIC takes shape

The group adopts a new identity for Microelectronics, Optoelectronics, Sensing, and Adaptive Intelligent Circuits—distinct disciplines assembled into one physical-to-intelligent hardware stack.

14 July 2026

Projection-aware approximation submitted to HPEC 2026

The work follows a fixed-model GELU bank through bit-exact verification, activity-backed mapping, and matched routed implementation.

2026

Spiking Hough-transform hardware published

Aaron Yu, Leonard MacEachern, and Arash Ahmadi report an FPGA-oriented spiking neural architecture for Hough-transform line detection in IEEE TETCI.

Research output

Selected publications

All publications
2026

A Spiking Neural Network Based Hough Transform Implementation for FPGAs

Aaron Yu, Leonard MacEachern, and Arash Ahmadi

2025

Low-Cost Spiking Networks on FPGA for Event-Based Gesture Detection

A. Yu, A. Ahmadi, and L. MacEachern

2026

Threshold-Based Batch Normalization for Integer-Only Binarized Neural Network Inference

Jonathan Levine and Leonard MacEachern

Graduate research opportunities

Prospective graduate students interested in microelectronics, optoelectronics, sensing, data conversion, or intelligent hardware may contact Leonard MacEachern through his academic profile.

Graduate study inquiries