Milestones Achieved

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Her lab internees have done following SUPARCO projects:

  • (i)Implementation of Algorithm for Retrieval of Aerosol from Satellite Data and Comparison with MODIS Standard Aerosol Product
  • (ii)Implementation of Algorithm for Retrieval of Thermal Anomalies from Satellite Data and Comparison with Standard MODIS Product
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(iii) Dr Saman Shahid served as the Consultant of project entitled, ‘Development of TCP Accelerator for GEO satellite communication’. Funded by: RESOLVE-SUPARCO, Lahore Pakistan.

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(iv) We have introduced a course on EDS (Environmental Data Science) as an elective for those students who want to research on enormous data of nature with the data-science tools. Following objectives were achieved:

check_circleObjectives Achieved

  • 1.Environmental data types
  • 2.Role of data science in analyzing environmental issues
  • 3.Environmental Intelligence
  • 4.Environmental data scientists-job demands
  • 5.Environment and sustainability - Background
  • 6.Environmental Monitoring and sensors
  • 7.Use of IoT in the environment
  • 8.Role of AI in Environmental Monitoring and Assessment
  • 9.Remote sensing and satellite databases
  • 10.Downloading environmental data sets
  • 11.Use of ArcGIS for environmental data manipulations
  • 12.Tools for atmospheric modeling & retrieval algorithms
  • 13.Machine/deep learning models, ANNs, Transfer learning approaches, etc. for exploratory Data analysis

scienceFollowing projects (2023) were done:

  • 1.Ozone Level Analysis
  • 2.Fuel consumption and emissions by vehicles
  • 3.Crop Yield Prediction
  • 4.Rain Prediction in Australia
  • 5.Waste Classification
  • 6.Flood Prediction Factors
  • 7.Disaster Risk Classification
  • 8.Effects of Climate Changes on Crop Yields
  • 9.Forecasting Monthly Pollution Level
  • 10.Tsunami Prediction
  • 11.Green Analysis
  • 12.Wildfire in California
  • 13.Predicting IDC, Breast Cancer
  • 14.China Air Pollution Forecasting
  • 15.Smart Farming
  • 16.Urban Blue Green Areas Segmentation
  • 17.Average global temperature increase prediction