CURRENT LAB OPENINGS AND INFORMATION ON AVAILABLE RESEARCH PROJECTS

Research SCOPE AND PHILOSOPHY

We solve technological problems that arise at the boundary between the physical world and computing machines. We develop intelligent sensory microelectronic systems that are optimized to solve such problems.

Such systems typically combine the capabilities of: (1) sensing – for information acquisition, (2) computing – for machine learning acceleration, (3) communication – for data readout, and/or (4) actuation – for feedback to the physical world.

We strive to find technological solutions that are enabling, synergistic and disruptive.

Research THRUSTS AND GOALS

Currently we focus on the following three key research thrusts.

Our first goal is to improve health and wellness by developing effective microelectronic technologies for neurological monitoring, diagnostics and therapy. Our miniature artificially intelligent medical devices interface with the nervous system in order to monitor its function and provide therapeutic feedback. A major current focus of our research is on responsive neuromodulation of the central and peripheral nervous systems, aiming to offer effective therapies for intractable epilepsy and spinal cord injury.

Our second goal is to enable versatile low-cost computational imaging by developing fast field-programmable image sensors. This is a fundamentally new class of image sensors that break the trade-off between the speed and cost of computational imaging systems, enabling cameras that are both low-cost and high-speed. Their field-programmable nature yields a vast range of never seen before capabilities. These cameras bring computational imaging techniques to a wide range of applications where the scene or illumination change rapidly, such as autonomous vehicles, drones, industrial robots, augmented reality, automated surveillance and action cameras.

Our other objectives include exploring various emerging sensory and computing modalities, such as electrochemical sensing, computing in memory and nuclear magnetic resonance on a chip.

We always look forward to having talented graduate students from the University of Toronto and from around the world join our team!