SDGs aligned Projects
- Adoption of a Performance Evaluation Technique for the Development of a Framework for the Climatic Responsive Urban Design (CRUD)
PI: Dr Salma Sherbaz
Research studies on urban microclimate are gaining popularity due to recent climate changes and rapid urbanisation. Streets are the basic elements of a complex urban-build environment and are usually considered of simple rectangular shape, commonly known as the ‘‘urban canyon” (UC). The street orientation and geometry significantly affect wind and heat distribution inside an urban street canyon, affecting the building’s energy performance and natural and hybrid ventilation efficiencies. It also affects pedestrian comfort, pollutant dispersion, and overall air quality at the street level. So for climatologists and designers, the knowledge of flow characteristics in street canyons is an important consideration for Climate-responsive urban design. This research aims to guide the designer in the early-stage climate-responsive urban design.
The project is aligned with the UN Sustainable Development Goals, SDG 11: Sustainable Cities and Communities and SDG 11: Climate Action.
- In-depth analysis of prediction and forecasting of sepsis in ICU patients using Deep Learning
PI: Dr Mehak Rafiq
Sepsis is a life-threatening reaction to an infection. Using AI to predict sepsis about 4-6hrs earlier than doctors. This project will help to avoid complications due to sepsis in ICU. Moreover, with the help of this project, we can extend good care in rural and unprivileged areas. Using machine learning models to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records and to forecast sepsis using minimum features to help accurately predict the onset of sepsis a minimum of 4-6 hours earlier.
The project is aligned with the UN Sustainable Development Goals, SDG 3: Ensure healthy lives and promote well-being for all at all ages