Industry Engagement

Cutting Edge Partnerships & Collaborations

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Industry Partnerships

We believe the right collaboration can make the impossible possible.

We partner with leading corporations to solve real and pressing problems.

We offer industry access to a wide range of research, connections to top talent, and flexibility.

We take a holistic approach to identifying needs and help streamline partnerships.

Problems we are tying to solve

With an expanding array of partnerships and connections to the private sector, BACU works to unleash the impact of its APPLIED EDUCATION & PROJECTS by encouraging the evolution of discoveries and inventions into know-how, products and services with societal and economic value.

For Industries: BACU builds strategic collaborations aimed at sparking innovations of commercial interest to company partners, connecting companies to faculty and researchers, students and entrepreneurs.

For Students & Researchers: BACU supports students to explore the market relevance of discoveries, create strategies for transitioning from idea to impact, and build supportive intellectual property portfolios.

In any given day, BACU faculty and researchers are engaged in projects to solve thousands of problems. Check some of them below.

Industry-Related Projects at BACU

E-Vehicles on Road, Wireless Charging Infrastructure in Smart Cities

Electric cars produce zero localized emissions. The problem is not developing the E-Vehicles; the success of the electric car will depend on how accessible and easy it will be to recharge a car’s battery. Using advanced communication technologies, the goal of this project is to make the complex communications between plug-in cars and the power grid an effortless endeavour for drivers while making sure that energy is being transferred in the most efficient way.

Innovative Smart Food Delivery Systems

The Covid-19 outbreak has disrupted various supply chains including the on-demand food delivery sector. This project rigorously analyses multiple restaurants to multiple customers (Many-to-many) food delivery simulation models constrained with multiple key performance indicators (KPIs).