Advancing Global Sustainability through Data Science
Environment and Health Data Science (EHDS) Lab — applying sophisticated analytical approaches to key challenges at the confluence of the environment and human health. Save Earth, Maintain Health.
Lab Director
Prof. Dr. Saman Shahid
Prof. Dr. Saman Shahid teaches Physics and Environmental Sciences/Sustainability courses. She conducts research to solve sustainability & environmental issues (e.g., climate change) and overcome health challenges with the tools of Data Science. She developed AI-based Neural Networks for the state-space models of the TOKAMAK Fusion Reactor during her M.Phil. research. Her doctoral research was related to Medical Radiation Physics & the use of Bioinformatics to detect Brain Cancer Sites. She has published 113 articles (cumulative impact factor: 133) and has been a keynote speaker at several national and international conferences.
workspace_premiumUN Climate Change & Sustainability Certifications
Prof. Dr. Saman Shahid has received certifications from the UN Climate Change Learning Partnership (UNCCLP) and United Nations Institute for Training and Research (UNITAR), Switzerland, Sweden, and Japan:
About Us
Focus and Objectives
Transforming Healthcare Delivery
EHDS lab was established in 2020 by Prof. Dr. Saman Shahid. The lab is committed to solving issues of digital health care through artificial intelligent models and handling monitoring of the 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.
Environmental Sustainability
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.
Our Mission
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. We focus on SDG#3 (Good Health & Wellbeing), SDG#11 (Sustainable Cities & Communities), and SDG#13 (Climate Action).
Methodology & Impact
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.
Research Areas
Key Domains
AI for Health
Precision Medicine · Disease Diagnosis · Clinical Decision Support · Public Health Management · Medical Image Processing · Digital Health Platforms
Data Science for Environment
Risk Assessment · Environmental Monitoring · Climate Change Modeling · Water Management · Air Pollution · ESG Reporting · Sustainable Resource Management
Gallery
Lab in Action
