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8849 result(s) found
Development of Technology and Machine for Controlled Spontaneous Manufacturing of Multi-scale Fractal Structures using Fluid Instabilities for Biomimetic and other Applications

Nature, in its quest for the best designs has shaped its vital systems into fractal geometries (e.g. leaf veins, respiratory system). Recent literature indeed confirms effectiveness of these geometries in several applications including tissue enginee

Section: Engineering Sciences (Research Project)
Multi-Station Multi-Axis Hybrid Layered Manufacturing System

No process or technology is omnipotent; each has certain advantages and limitations. Therefore, integrating hybrid processes and multiple technologies synergically gives the best results. Multi-Station Multi-Axis Hybrid Layered Manufacturing (MSMA-HL

Section: Engineering Sciences (Research Project)
A SEIR model to estimate the effect of pharmaceutical and non-pharmaceutical interventions on the spread of COVID-19

A SEIR model, with an easy-to-use software interface, will be developed. It will account for age distribution, the effect of treatment and the difference in propagation by symptomatic and asymptomatic individuals and use a range of parameters to obta

Section: Mathematical Sciences (Research Project)
Agent based spatial modelling of COVID-19 pandemic for urban areas

This work proposes (1) a multi-agent spatial model for epidemic diffusion, (2) a control theoretic approach for choosing the right lockdown strategy and deciding on the duration of implementation of a strategy and, (3) to apply fuzzy logic to make th

Section: Computer Sciences and Information Technology (Research Project)
Controlling epidemics

This study aims to develop epidemic models that will keep an account of deaths and quarantines. Control strategies will be designed to achieve NPI objectives like flattening the curve. Also to study the characterisation of the spread using data drive

Section: Medical Sciences (Research Project)
Development of prediction model for COVID-19 using machine learning

The project is targeted to develop a prediction model for predicting spread of COVID-19 in India and is based on existing data of tested, confirmed and deceased cases.

Section: Computer Sciences and Information Technology (Research Project)
Identifying important factors impacting the spread and mortality rate of COVID-19 using biclustering approach

The study aims to identify various underlying factors (genetic, behavioural, societal etc.) responsible in spreading this disease.

Section: Medical Sciences (Research Project)
Mathematical modelling of aerosolised transmission of pathogens via turbulent expiratory events

The current study aims to model the aerosolised transmission of pathogens via turbulent expiratory events – coughing, sneezing and even exhaling. Many body hydrodynamics of a droplet cluster, mimicking a cough/sneeze will be simulated, to obtain a

Section: Mathematical Sciences (Research Project)
Modelling and forecasting the effects of long-term interventions on COVID-19 using a network-based approach

The study aims at the development of a quantitative and predictive modelling framework for COVID-19, integrating non-pharmaceutical interventions using a network-based approach and stochastic simulations.

Section: Mathematical Sciences (Research Project)
Modelling and prediction of COVID-19 outbreak: Analysing possible effects of lockdown, testing and urbanicity

This study aims to investigate the transmission mechanism of COVID-19 in India at both the national and state levels, with an analysis on possible effects of various measures, such as testing facility, urban connectivity, age, sex, temperature, etc.

Section: Medical Sciences (Research Project)
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