COMPUTIONAL ASTROPHYSICS

Malnutrition Indicators in Tharparkar.

To study causes of malnutrition in Tharparkar region of Sindh and to develop technological solutions for improving conditions of malnutrition while also collecting valuable data for future research work.

The main benefit of this project would be the prediction and visualization aspects.

Technology is being used all over the world to combat social problems and we propose that with the help of technologies related to our problem set we may be able to predict causes of malnutrition that can then alert authorities in advance so that they are able to plan ahead.

This project plans to enable smart, calculated and timely decisions that will hopefully save and empower the local people and usher the region into prosperity.

Area Calculation of  Manchar Lake Using GEE

The sustainability of the hydrological and ecological ecosystems of any region requires continuous monitoring of the water bodies. Recent advancements in satellite-based remote optical sensors, big data analysis, and cloud computing have given new dimensions to the field of water body studies including their detection as well as analysis. The present study on Manchar Lake proposed a hybrid water index along with the different existing water body detection indices and spectral bands that have been worked out on the satellite images. Based on the 7 years of data, the proposed algorithm calculates the water body area more precisely. These results help to better preserve and improve the quality of the water resource.

Detail Analysis of NIBD (National Institute of Blood Disease & Bone Marrow Transplantation) Karachi blood disorders Dataset.

Collaborative project between Exascale Lab & NIBD regarding diagnosis and management of patients suffering from blood disorders at NIBD (National Institute of Blood Disease & Bone Marrow Transplantation) Karachi.

Around 100GB of patients blood disorder data.
Analyzing Data using different analyzing tool like Python and R
Developing Model to predict blood diorder
 

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Driving Pattern Analysis Application

Driving Pattern Analysis is a usage-based insurance savings program developing with the collaboration with ASIA INSURANCE that is 100% voluntary and free. The safer you drive, the more you could save.

The application collects and analyzes driving data such as acceleration, braking, speeding, cornering, and time of day, and assigns a driving score for each trip.
 

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AUTOMATED SUNSPOTS DETECTION USING ARTIFICIAL INTELLIGENCE

Sunspots are dark, planet-sized regions that appear on the "surface" of the Sun.They are regions of reduced surface temperature caused by disturbances in the Sun's magnetic field.Since sunspots are associated with solar activity, space weather forecasters track these features in order to help predict outbursts of "solar storms" that can disrupt space weather in the vicinity of earth. 

An intelligent system is therefore required that can efficiently detect sunspots or active regions on the Sun.

In AUTOMATED SUNSPOTS DETECTION a Machine Learning based predictive model is used to predict the sunspots.

INTELLIGENT CELESTIAL OBJECT DETECTION USING ADVANCE MACHINE LEARNING ALGORITHM

In this project the system will be using an algorithm to identify the shape of the celestial object present in the image. The algorithm will supplementary spot any merger and odd features in the identified shape. This will help in the identification of the celestial object that will further support in understanding its behavior. .

INTELLIGENT CONSTELLATION DETECTION SYSTEM USING AI

The objective of this research is to use pattern recognition to detect the constellations present in the deep sky image. In this project, the images will be processed to filter out and remove noise, and then the pattern recognition algorithm will be applied on the image to detect the constellations present. Then the output will be provided to the user on the images with detected constellations' pattern plotted.