Grants and Contributions

Reanimate a community green space with the installation of modern recreational equipment

Engage business development expertise to enhance and accelerate commercialization efforts

This project will support (Dena Keh Justice Program) in educating justice stakeholders about restorative justice and the benefits of pre-charge diversions with the goal of increasing referrals to their community justice program.

This project will support (Bigstone Cree Nation Restorative Justice Program) in educating justice stakeholders about restorative justice and the benefits of pre-charge diversions with the goal of increasing referrals to their community justice program.

The project seeks to improve the lives and livelihoods of women and girls in sub-Saharan Africa. Project activities include: (1) scaling tested policy and program innovations that recognize, reduce and redistribute women’s unpaid care work by providing sub-grants to local stakeholders, including women's rights or advocacy organizations; (2) establishing an African care work community of practice, with the proactive engagement of women’s rights organizations to facilitate knowledge exchange, peer learning and coalition building; and (3) building stakeholders' capacity through training seminars and workshops to carry out gender analysis and generate and use care data and evidence to drive actions. Women and girls - particularly those living in poverty and belonging to marginalized groups - will benefit from this project.

Earthquake relief: hygienic kits support for women and babies in Gaziantep

A scalable real-time solution for intelligent quality monitoring during automated laser welding.

The Project involves the application of reinforcement learning (RL) techniques for wavefront sensorless adaptive optics systems used in optical satellite communications. A predictive model will be developed to maximize the coupling of a free-space optical beam into a single mode fiber through an array of wavefront correction elements. Unlike typical adaptive optics for astronomy, optical satellite-to-ground communications experience a wide variety of turbulence conditions and can greatly benefit from capturing a coherent optical signal for improved optical channel data throughput, lowered reduce bit-error rates, and reduced emitter laser power requirements. Simulated wavefront distortion will be used to train the model for optimal performance under the dynamic conditions during overhead satellite passes with full wavefront measurement. A trained RL model will provide optimal parameters with existing AO systems and will guide the design of future photonic AO systems for lower cost and improved performance in a variety of ground station locations.

The Project involves the application of reinforcement learning (RL) techniques for wavefront sensorless adaptive optics systems used in optical satellite communications. A predictive model will be developed to maximize the coupling of a free-space optical beam into a single mode fiber through an array of wavefront correction elements. Unlike typical adaptive optics for astronomy, optical satellite-to-ground communications experience a wide variety of turbulence conditions and can greatly benefit from capturing a coherent optical signal for improved optical channel data throughput, lowered reduce bit-error rates, and reduced emitter laser power requirements. Simulated wavefront distortion will be used to train the model for optimal performance under the dynamic conditions during overhead satellite passes with full wavefront measurement. A trained RL model will provide optimal parameters with existing AO systems and will guide the design of future photonic AO systems for lower cost and improved performance in a variety of ground station locations.

In this project we will design new components and architectures for the future quantum internet, which promises applications such as quantum-secured communication and distributed quantum computing. In particular, we will design quantum memories that are suitable for deployment on-board satellites, and we will design terrestrial quantum network architectures that are more suitable for widespread use than current approaches.