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

profile photo
Always open to chat about research, grad life, or anything. Don't hesitate to reach out! :)


Publications
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
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
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
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
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


Education

Stanford University, California, US

September 2021 - Present
PhD Student
Supervisors: Prof. Ram Rajagopal

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

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.

National Institute of Technology, Kurukshetra, India

August 2012 - June 2016
Bachelor of Technology in Computer Engineering.




Work Experience

Pittsburgh Supercomputing Center, Carnegie Mellon University, US

March 2020 - August 2021
Machine Learning Research Scientist

Philips Innovation Campus, Bangalore, India

June 2016-July 2017
Software Engineer





Internships

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.









Volunteer Activities
Research Talk @ AnitaB.org: CNN For Dummies, April 2021, Presentation Link
Research Talk @ AnitaB.org: Explainable AI, July 2021, Presentation Link
Reviewer at ML Reproducibility Challenge, 2021
Reviewer at ICBINB @ NeurIPS 2021
Reviewer at Grace Hopper Celebration (vGHC) Artificial Intelligence Track, 2021
Reviewer at ML Reproducibility Challenge 2020
Reviewer at Machine Learning for Physical Sciences @ NeurIPS 2020
Reviewer at Machine Learning for Physical Sciences @ NeurIPS 2019
Member ofAI Committee, AnitaB since Nov, 2019


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