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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
About
About me
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Research
About me
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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publications
talks
Towards Topological Pattern Detection Methods in Spatiotemporal Data
Published:
I have given a talk “Towards Topological Pattern Detection Methods in Spatiotemporal Data” at the Linear Algebra and Optimization Seminar, ICME, Stanford University, USA.
Towards Topological Pattern Detection Methods in Climate Data: Application to Atmospheric Blocking Events
Published:
I have given a 15-min talk “Towards Topological Pattern Detection Methods in Climate Data: Application to Atmospheric Blocking Events” at the American Geophysical Union Fall Meeting, Washington D.C., USA.
Topological Data Analysis and Machine Learning Methods for Pattern Detection in Spatiotemporal Climate Data
Published:
A keynote talk “Topological Data Analysis and Machine Learning Methods for Pattern Detection in Spatiotemporal Climate Data”, Session 7 - Statistical and machine learning in climate science, at the 14th International Meeting on Statistical Climatology, Centre International de Conférences, Météo-France, Toulouse, France. (presented on my behalf by K.Kashinath)
Towards Topological and Machine Learning Pattern Detection Methods in Spatiotemporal Climate Data
Published:
I have given a talk “Towards Topological and Machine Learning Pattern Detection Methods in Spatiotemporal Climate Data” at the Big Data Summit 2019: AI and HPC Convergence for Science, Lawrence Berkeley National Laboratory, Berkeley, USA.
Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data
Published:
I have virtually presented a poster and short video talk on our latest conference paper “Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data” at the 25th International Conference on Pattern Recognition (ICPR), Milan, Italy.
Extreme weather events and water security as emerging challenges for global society: How can we use deep machine learning, topological data analysis and causal time series analysis to study weather phenomena in large climate datasets?
Published:
I gave a virtual talk on my current research on causal inference for large scale climate teleconnections and water security problem in the Himalayan region at the Cambridge Environmental Data Science Group Seminar, University of Cambridge, United Kingdom.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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