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He/Him/His.
Present
I am an M.S Research Scholar in the Department of Computer Science at IIT Madras guided by Prof. Balaraman Ravindran and co-guided by Prof. Sudarsan Padmanabhan. I am part of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI) Lab.Present
Research Interests
Subjects: Causal Inference, Machine LearningAreas: AI Fairness, AI GovernanceDomains: Law, HealthcareResearch Interests
Preprints
1. A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar*, Pranshu Malviya*, Balaraman Ravindran Under Review in the Asian Conference on Machine Learning (ACML), 2021Preprints
2. Financial Exclusion of Internal Migrant Workers of India during COVID-19: Can Digital Financial Inclusion be facilitated by AI? Pavan Ravishankar*, Sudarsan Padmanabhan, Balaraman Ravindran Under Review in the Special Issue on AI for People, AI and Society Journal, Springer Publisher, 2021
Publications
1. A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar*, Pranshu Malviya*, Balaraman Ravindran, Workshop on Law and Machine Learning, International Conference Machine Learning (ICML), 2020 [arXiv]Publications
Research Experience
1. Stanford Computer Science | AI for Human Impact Lab | March-May 2020 Position: Visiting Student Researcher Advisor: Prof. Emma Brunskill Project: Learning Robust Representations For Off-Policy Policy Evaluation in a Stochastic Policy Setting Funding: All expenses covered by IIT Madras and Stanford University ($11000)Research Experience
Teaching
I co-created and co-taught (20/24 lectures) the first offering of the Causal Inference course (CS7370) at IIT Madras with my advisor Prof. B. RavindranTeaching
Education
1. Indian Institute of Technology Madras, Chennai, India | 2017 M.S. (Research) in Computer Science Funding: All expenses covered by Half Time Research Assistantship (HTRA)Education
2. Birla Institute of Technology and Science, Pilani (BITS-Pilani), Pilani Campus, India | 2012 - 2016 Information Systems
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