Active Research

On-going Works

The lab is currently working on 14+ active projects at the intersection of data science, environmental monitoring, and digital healthcare, building robust models for complex ecological and biological systems.

Current Projects

pulmonology

Lung Cancer Detection from Climate Change

Investigating the correlation between climate change indicators and lung cancer incidence using machine learning models.

neurology

Computational Neurosciences

Evaluating Restless Leg Syndrome, Neuromyelitis Optica Spectrum Disorder, and Multiple Sclerosis through computational approaches.

psychology

Gut-Brain Axis via Deep Learning

Mapping the gut-brain axis via deep learning to identify Depression & Anxiety biomarkers.

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Agentic AI for Robotic Surgeries

Developing autonomous AI agents to assist and enhance precision in robotic surgical procedures.

air

Air Pollutant Monitoring

Real-time monitoring of air pollutants using IoT devices and predictive data analytics.

water

AI in Hydrology

Applying artificial intelligence to hydrological modeling, including hydrographs of Baluchistan rivers from ML.

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Climate Change from Remote Satellite Data

Climate change detection from remote satellite data and machine learning models.

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Environmentally Friendly Materials

Researching environmentally friendly materials, e.g., from waste rubber, to promote circular economy principles.

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Noise Pollution Reduction

Developing sustainable strategies to reduce noise pollution in urban environments.

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Sustainable Finance & Business Practices

Evaluating climate change impact from business practices, carbon footprint calculations, and sustainable finance taxonomies.

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Sediment Management Modeling

Developing computational models for sediment management in water bodies.

Research Areas

AI for Health

Artificial Intelligence for Health

  • check_circlePrecision Medicine
  • check_circleDisease Diagnosis, Treatment & Prognosis
  • check_circleClinical Decision Support
  • check_circlePublic Health Management
  • check_circleMedical Images Processing
  • check_circleDigital Health Platforms
  • check_circleEnvironmental Health
Data Science for Environment

Data Science for Environment & Sustainability

  • check_circleRisk Assessment & Prediction
  • check_circleEnvironmental Monitoring
  • check_circleSustainable Resource Management
  • check_circleClimate Change Modeling
  • check_circleWater Management
  • check_circleNatural Hazards
  • check_circleAir Pollution
  • check_circleEnvironmentally Friendly Materials
  • check_circleESG Reporting for Sustainability

Sustainable Business Projects (2025–2026)

Eco-Friendly Cement Industry in Pakistan

Eco-Friendly Cement Industry in Pakistan

Developed a sustainable business framework under compliance of GRI standards, ISO & UNGC standards by evaluating Life Cycle Assessments of products.

Sustainable Coffee Chain Framework

Sustainable Coffee Chain Framework

Circular economics and symbiotic associations to reduce waste generation, sustainable finance, and key performance indicator development for net carbonization.

Milestones Achieved

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Implementation of Algorithm for Retrieval of Aerosol from Satellite Data and Comparison with MODIS Standard Aerosol Product

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Implementation of Algorithm for Retrieval of Thermal Anomalies from Satellite Data and Comparison with Standard MODIS Product

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Consultant for 'Development of TCP Accelerator for GEO satellite communication' — Funded by RESOLVE-SUPARCO

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Introduced Environmental Data Science (EDS) as an elective course covering environmental monitoring, IoT, remote sensing, ArcGIS, and ML/DL models