Scholar
Vikram V. Ramaswamy
Google Scholar ID: OoHs7BgAAAAJ
Lecturer, Princeton University
Citations & Impact
Citations
730
H-index
8
i10-index
8
Publications
15
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- No specific details provided about publications, awards, patents, or projects.
Research Experience
- As a PhD student at Princeton, conducted research on fairness and interpretability of machine learning systems, especially in the context of visual systems.
Education
- PhD from Princeton University, advised by Prof. Olga Russakovsky; Bachelor's and Master's degrees from IIT Madras, advised by Prof. Jayalal Sarma.
Background
- Teaching faculty member in the Computer Science department at Princeton University. Primarily teaches introductory AI/ML courses and conducts research on fairness and interpretability of machine learning systems, particularly in visual systems. Has worked on constructing better datasets (either real or synthetic) and understanding and evaluating interpretability methods for convolutional neural networks.
Miscellany
- Pronouns: he/him or they/them; Offers research/IW/senior thesis advising to Princeton undergraduate and graduate students; Welcomes emails from students for further engagement.
