Sneha Mendiratta

Sneha Mendiratta


Personal profile

Research interests

My research aims to analyse Human-Wildfire Interactions through Social Media data along with Perceptions of Wildfire in Mainstream Media, such as News Resources and Print Media. This analysis aims to generate a real-time alert system towards Wildfire Detection and Calls for Help. Beyond detection, I aim to understand how pyrogeography is shaped for India and the UK. I am currently researching various Text Mining and Natural Language Processing techniques for Wildfire Social Sensing if you are interested in my work or would like to collaborate, please write to:

Supervision information

Prizes and awards

Prizes and awards

Indian Space and Reserach Organisation's Research Fellowship 

Prizes and awards

Offered UKRI Centre for Doctoral Training (CDT) Studentship in Data Science & AI for Sustainable Futures

Prizes and awards

Offered National Institute of Technology, India's Research Fellowship

Memberships of committees and professional bodies

European Geosciences Union


Sneha is a PhD Student at the Department of Physical Geography and Department of Computer Sciences, jointly supervised by Dr. Gareth Clay, Prof. Sarah Lindley, and Dr. Riza Theresa Batista-Navarro. Before commencing her PhD, she was employed at the Indian Space and Reserach Organisation (ISRO) as a Researcher/Computer Scientist and worked with National Aeronautics and Space Association's (NASA) Cyclone Global Navigation Satellite System (CYGNSS) team to leverage Machine Learning Techniques for retrival of biophysical parameters using Satellite Data.

Sneha was awarded a postgraduate degree in Computer Sciences with a specialisation in Artifical Intelligence (Distinction), where she undertook a reserach project at Indian Space and Reserach Organisation's Disaster Management Department to create a Predictive Model for Wildfires employing Satellite Data and Machine Learning Techniques.

She holds an undergraduate degree from the University of Pune in Bachelors of Engineering (First Class). In addition, Sneha has been a part of various trainings held at NASA and ISRO.

Sneha has worked with as a volunteer at the BlueDot Festival (2023). Community Mapping aims to map previously un-mapped areas of the world in order to help address chronic humanitarian crisis.

Sneha is also a Student Representative for the Second year PhD Cohort at Physical Geography and a co-supervisor for undergraduate projects in the Department of Computer Sciences and oversees final year undergraduate project for Atmospheric Sciences.

Her expertise lies in Machine Learning, Statistical Modelling, GIS, Remote Sensing and Natural Language Processing. Her reserach affiliation is with the Environmental Processes Reserach Group and Natural Language Processing Group. 


My group

Social responsibility

Sneha has worked with Equality, Diversity and Inclusion at the School of Environment, Education & Development to curate a reading list of underrepresented BAME authors in the the field of Physical Geography. This resource is available through the University of Manchester's Library & can be accessed now.

Sneha has worked with as a volunteer at the BlueDot Festival (2023). Community Mapping aims to map previously un-mapped areas of the world in order to help address chronic humanitarian crisis.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 13 - Climate Action

Education/Academic qualification

Master of Computing, Predictive Modelling for Wildfires using Remote Sensing and Machine Learning Techniques, Indian Institute of Remote Sensing, Indian Space and Research Organisation (ISRO)

Award Date: 1 Jun 2020

Bachelor of Engineering, Maharashtra Institute of Technology (University of Pune)

Award Date: 17 Jul 2017

Using Earth Observations for Pre and Post Fire Monitoring - Advanced Remote Sensing Course for estimating Wildfire risk using Satellite Imagery, National Aeronautics and Space Administration (NASA)

… → 2022

Polarimetric Synthetic Aperture Radar and Optical Remote Sensing Advance Training, National Aeronautics and Space Administration (NASA)

… → 2022

External positions

Research Assistant , University of Manchester

12 Jun 2023 → …

Reserach Assistant, University of Manchester (UOM)

1 May 20231 Jun 2023

Researcher , Indian Space Research Organisation (ISRO)


Areas of expertise

  • QA75 Electronic computers. Computer science
  • Machine learning
  • Statistical Analysis of Social Networks
  • Predictive Modelling
  • GB Physical geography
  • Wildfires
  • Remote Sensing
  • GIS
  • Google Earth Engine
  • HA Statistics
  • Statistical Analysis of Social Networks
  • Statistical Modelling
  • Predictive Modelling

Research Beacons, Institutes and Platforms

  • Institute for Data Science and AI
  • Digital Futures


  • Wildfire
  • Natural Language Processing
  • Social Sensing
  • Climate change mitigation
  • Machine Learning
  • AI Applications
  • Remote Sensing


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