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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
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portfolio
Hyperlocal Air Quality Prediction using Machine Learning in East Bay Area, CA
In this project, I developed machine learning models to predict air quality on a city-block basis in Oakland and San Leandro, CA, without having to rely on complex physical modeling. I used a wide variety of publicly available datasets such as previously measured pollutant concentrations, local meteorological data, emissions from local industrial sources, and traffic information.
Check out my github repo and my blog post on this work!
Satellite Image Classification using Deep Learning
In this project, I used the DeepSat-6 satellite image dataset to build a multi-class classification algorithm using convolution neural networks to classify images based on the land use type.
Check out my github repo for more details!
US County-Level Air Pollution Sequestration Dataset
I developed a county-level spatial inventory of air pollutant sequestration by grassland and shrubland vegetation in the US. The dataset was developing using the daily leaf area index of vegetation classes, the National Land Cover dataset and the i-Tree Eco model. The dataset developed in this work is currently used by
- California Department of Conservation and The Nature Conservancy in the TerraCount tool for land use planning.
- U.S. Department of Forest Service in the i-Tree Eco tool
- Bay Area GreenPrint Tool
publications
Assessing the capacity of local ecosystems to meet industrial demand for ecosystem services
Published in AIChE Journal, 2016
Varsha Gopalakrishnan, Bhavik R. Bakshi, and Guy Ziv
Synergies and trade-offs in renewable energy landscapes: Balancing energy production with economics and ecosystem services
Published in Applied Energy, 2017
Authors: Rebecca J.Hanes, Varsha Gopalakrishnan, and Bhavik R. Bakshi.
Download here.
Biosolids management with net-zero CO2 emissions: a techno-ecological synergy design
Published in Clean Technologies and Environmental Policy, 2017
Authors: Varsha Gopalakrishnan, Geoffrey F. Grubb, and Bhavik R. Bakshi
Download here.
Including Nature in Engineering Decisions for Sustainability.
Published in Encyclopedia of Sustainable Technologies, 2017
Authors: Varsha Gopalakrishnan and Bhavik R. Bakshi
Download here.
Ecosystems as unit operations for local techno‐ecological synergy: Integrated process design with treatment wetlands
Published in AIChE Journal, 2018
Authors: Varsha Gopalakrishnan and Bhavik R. Bakshi
Download here.
Synergies between industry and nature–An emergy evaluation of a biodiesel production system integrated with ecological systems
Published in Ecosystems Services, 2018
Authors: Fabrizio Saladini, Varsha Gopalakrishnan, Simone Bastianoni, and Bhavik R. Bakshi
Download here.
Air quality and human health impacts of grasslands and shrublands in the United States
Published in Atmospheric Environment, 2018
Authors: Varsha Gopalakrishnan, Satoshi Hirabayashi, Guy Ziv, and Bhavik R. Bakshi.
Download here.
Including nature in the food-energy-water nexus can improve sustainability across multiple ecosystem services
Published in Resources, Conservation & Recycling, 2018
Authors: Rebecca J.Hanes, Varsha Gopalakrishnan, Bhavik R.Bakshi
Download here.
Role of vegetation in mitigating air emissions across industrial sites in the US
Published in ACS Sustainable Chemistry And Engineering, 2019
Authors: Varsha Gopalakrishnan, Bhavik R. Bakshi, and Guy Ziv
Download here.
Nature-Based Solutions Can Compete with Technology for Mitigating Air Emissions Across the United States
Published in Environmental Science & Technology, 2019
Authors: Varsha Gopalakrishnan, Guy Ziv, Satoshi Hirabayashi, and Bhavik R. Bakshi
Download here.
talks
Using Machine Learning and Dispersion Modeling to Estimate Emissions
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.