rajanie prabha
I am a third year PhD student at the Stanford University, advised by Prof. Ram Rajagopal in the Civil and Environmental Engineering Department.
Research Interests:
Machine Learning, Computer Vision, Sustainability, Climate Change.
Current Projects: Deepsolar
Email  / 
CV  / 
Medium  / 
Google Scholar  / 
Twitter  / 
Github
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Always open to chat about research, grad life, or anything. Don't hesitate to reach out! :)
Publications
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Exploring the Potential of Non-Residential Solar to Tackle Energy Injustice
Moritz Wussow,
Chad Zanocco,
Zhecheng Wang,
Rajanie Prabha,
June Flora,
Dirk Neumann,
Arun Majumdar,
Ram Rajagopal
Nature Energy, 2024
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SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
Zhecheng Wang,
Rajanie Prabha*,
Tianyuan Huang*,
Jiajun Wu,
Ram Rajagopal
AAAI, 2024
Github repo
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MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning
Paola A. Buitrago,
Evgeny Toropov,
Rajanie Prabha,
Julian Uran,
Raja Adal
ICDAR, 2021
Github repo and
Dataset link
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Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning
Manu Tom,
Rajanie Prabha,
Tianyu Wu,
Emmanuel Baltsavias,
Laura Leal-Taixé,
Konrad Schindler
Remote Sensing MDPI, 2020
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Lake Ice Monitoring with Webcams and Crowd-Sourced Images
Rajanie Prabha,
Manu Tom,
Mathias Rothermel,
Emmanuel Baltsavias,
Laura Leal-Taixé,
Konrad Schindler
ISPRS, 2020
Github repo
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Stanford University, California, US
September 2021 - Present
PhD Student
Supervisors: Prof. Ram Rajagopal
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Swiss Federal Institute of Technology, Zurich, Switzerland
May 2019 - October 2019
Master's Thesis Exchange student under SEMP
scholarship.
Supervisors: Prof. Konrad
Schindler and Prof. Laura Leal-Taxie
Thesis
page
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Technical University of Munich, Germany
October 2017 - November 2019
Master of Science in Informatics.
Research Assitant at Ebenbuild, Chair of Computational Mechanics, Jan 2019 - May 2019.
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National Institute of Technology, Kurukshetra, India
August 2012 - June 2016
Bachelor of Technology in Computer Engineering.
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Pittsburgh Supercomputing Center, Carnegie Mellon University, US
March 2020 - August 2021
Machine Learning Research Scientist
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Philips Innovation Campus, Bangalore, India
June 2016-July 2017
Software Engineer
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Luminovo Artificial Intelligence, Munich, Germany
April 2018 - July 2018
In collaboration with TU Munich
Implementation of Tacotron-2, Google's Deep learning research paper for Text-to-Speech Synthesis using Datasets: LJ Speech(English Language) and M-AILABS(German Dataset). For more details, checkout this blog.
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Course Project Posters
CS236, Deep Generative Models, Stanford University |
CS330, Deep Multi-Task and Meta Learning, Stanford University |
IN2346, Deep Learning for Computer Vision, Technical University Munich |
Design and source code from Jon Barron's website.Non-academic Space
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