Dr. Nandita Basu

Professor

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Biography

Nandita Basu is a Professor and Tier 1 Canada Research Chair in Global Water Sustainability and Ecohydrology at the University of Waterloo. She is jointly appointed in the Departments of Civil and Environmental Engineering and Earth and Environmental Sciences. Dr. Basu is an internationally recognized researcher in water sustainability and ecohydrology, and she leads a team that addresses fundamental and applied management questions regarding nutrient pollution in anthropogenic landscapes. Her approach combines data science, process modeling, and remote sensing to investigate the impacts of climate, land use, and management practices on surface and groundwater quality across agricultural, urban, and forested landscapes. Dr. Basu is involved in both national and international collaborations aimed at developing watershed management strategies that optimize environmental benefits while minimizing economic costs. She oversees significant research projects involving multiple stakeholders and has served on several advisory bodies, including the International Joint Commission's Science Advisory Board. Her contributions have established her as a leader in the field, with a commitment to sound ecological practices and sustainability in water management.

Research Interests

Awards

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Fellow

2021-01-01
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Sulzman Award

2020-01-01
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President’s Excellence Research Teaching Award

2020-01-01
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Member

2019-01-01
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University Research Chair

2019-01-01
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Borland Lecture

2019-01-01
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Outstanding Performance Award

2019-01-01
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Graduate Supervision Award

2018-01-01
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Early Career Article Publication

2017-01-01
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Editor’s Choice Award

2017-01-01
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Research Excellence Award

2017-01-01
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Early Researcher Award

2014-01-01

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.