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EHDS (Environment, and Health Data Science) Lab

EHDS (Environment, and Health Data Science) Lab was established by Prof. Dr. Saman Shahid in 2020. The research lab is committed to solving issues of digital health care through artificial intelligent models and handling monitoring of environment’s data received for simulation & modeling. The focus of data science and models in health is to revolutionize healthcare by harnessing the power of artificial intelligence to improve patient outcomes, enhance diagnostics, optimize treatments, and advance medical research. AI models are developed and deployed with the goal of transforming healthcare delivery and addressing the complex challenges faced by the healthcare industry.

Data science plays a crucial role in addressing environmental hazards and promoting sustainability. By harnessing the power of data analysis, modeling, and predictive analytics, data science can contribute to understanding, mitigating, and managing environmental risks.

The Environment and Health Data Science Laboratory’s mission is to apply data science and sophisticated analytical approaches to key challenges at the confluence of the environment and human health. Our major purpose is to provide practical insights and evidence-based solutions that help to identify, mitigate, and avoid ecological hazards and their effects on human well-being.

We strive to contribute to the development of evidence-based policies, interventions, and strategies that promote sustainable environments and safeguard human health for present and future generations. Through simulations and modeling, artificial intelligence, statistical analyses, bioinformatics, sensors, specialized software, and engineering designs, the laboratory aims to study, report, analyze, develop, predict, and promote health and safety resulting from natural or built environmental impacts. The team included research assistants, MS students, and faculty members. They have published around 20+ international articles and conferences.


Principal Investigator

Prof. Dr. Saman Shahid deals with the teaching of Physics to BS Computer Science, Data Science, and Electrical Engineering programs. Her doctoral research work was related to brain cancer genetics and the discovery of mutations induced by environmental radiation with bioinformatics tools.

She also teaches Environmental Sciences courses to MS/Ph.D. programs at the National University of Computer & Emerging Sciences, NUCES-FAST, and Lahore Campus. She has published 91 research articles in national & international journals. She has also published 40 abstracts at different national and international conferences. Her current impact factor is 118.1. She is also a peer reviewer and editorial board member of some local and international journals. Her areas of interest are Artificial Intelligence (AI) in Medicine & Environment, Medical/Health Physics, Medical Radiation Physics, Environmental Health, and Bioinformatics.



Goals and Domains

AI Health specific goals:

  • Precision Medicine
  • Disease Diagnosis, Treatment, and Prognosis
  • Clinical Decision Support
  • Public Health Management
  • Medical Images Processing
  • Digital Health Platforms

Data Science for Environment & Sustainability:

  • Risk Assessment and Prediction
  • Environmental Monitoring
  • Sustainable Resource Management
  • Climate Change Modeling
  • Water Management
  • Natural Hazards
  • Air pollution
  • Environmentally friendly materials
  • Environmental Health


Key Mission Objectives


Projects Completed


Projects in progress

Environmental issues

AI & Health


Selected Publications

AI & Health

Environmental Data Science: