معرفی
Khurram Nadeem is an Associate Professor of Statistics at the University of Guelph, specializing in predictive modeling of ecological and environmental systems. His research focuses on leveraging big data analytics to address challenges in wildland fire prediction, agricultural sustainability, and statistical bioinformatics. He leads a lab offering graduate research opportunities in these areas and collaborates with organizations like the Canadian Interagency Forest Fire Centre (CIFFC).
Education:
- PhD in Statistics, University of Alberta (2013)
- MSc in Statistics, University of Karachi (2005)
- BSc (Honours) in Statistics, University of Karachi (2003)
Research Themes:
- Wildland Fire Prediction: Developing spatiotemporal models to forecast fire occurrences in British Columbia, aiding fire management strategies.
- Agro-Environmental Science: Integrating big data from precision agriculture and genomics to optimize sustainable farming practices under climate change.
- Statistical Bioinformatics: Analyzing microbiome data in livestock and crops to improve disease prevention and crop resilience.
Media & Partnerships:
- Featured in University of Guelph news for wildfire research and Food from Thought initiatives.
- Seeks industry partnerships in forest fire analytics, environmetrics, and quantitative ecology.
Advising & Grants:
- Supervises graduate students in Statistics and Bioinformatics programs.
- Offers postdoctoral positions in applied statistics for climate-agriculture linkages and microbiome modeling.
Labs & Teams:
- Hosts a multidisciplinary lab focusing on environmental and agricultural data science.
- Collaborates with the Canadian Forest Service and agricultural stakeholders.
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