Sample projects - from
local revitalizations to masterplans.
George Brown College Connectivity Plan
Client: B+H Architects
GOAL: Considering traffic and floodplain data, enhance connectivity and reduce gridlock of roadway networks on George Brown College Campus.
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OUTCOME: Used agent-based algorithms to generate network additions capable of boosting transit efficiency by 40%. Strategy implemented by client in final proposed design.
Client's campus masterplan
based on Mireta's network
strategy.
Pioneer Village Resiliency Masterplan
Client: Surbana Jurong Group
GOAL: Design 100-acre sustainable village from scratch, w/ roadways/pedestrian-ways optimized for resiliency.​
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OUTCOME: Used multiple algorithms at different stages in the iterative design process to generate village plan 40% more resilient to failure than comparable options. Full design plan being adopted by client.
Client's village masterplan based on Mireta's network strategy.
GOAL: Develop a highly efficient trail and bridge network within a protected wadi landscape, as part of a sustainable industrial city masterplan.
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OUTCOME: Generated a designated trail network that was 30% more connected and 20% less likely to fail with a disturbance (e.g., flood, blockage) compared to outputs from alternative planning models.
Client: Undisclosed International Design Firm
Future-Proofed Wadi Greenway
Robust Canadian Energy Corridor
Client: Undisclosed VP of Exploration & Development, Canadian Energy Sector
GOAL: Develop Canada’s first unified national energy transportation corridor - spanning multiple provinces and designed to enable more efficient, resilient, and failure-proof movement of energy resources across the country.​
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OUTCOME: Generated early-stage network models that revealed opportunities to reduce energy system fragility, improve interprovincial flow, and support long-range infrastructure planning. Work currently ongoing.
Network generation for unified
Canadian energy corridor
Improving Resiliency of Dubai Metro
Case Study for The Mohammed Bin Rashid Centre for Government Innovation
GOAL: Improve resiliency of proposed metro extension in Dubai, UAE.
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OUTCOME: Used hydraulic feedback algorithms to achieve metro extension plans that are 37% more resilient to failure per unit cost compared to proposed extension.