Subramanian Chidambaram
Computer Science · Purdue University West Lafayette
Publications
21
Citations
286
Est. group size
~3
Recurring co-author estimate
Active years
10
Publishing since 2017
This researcher works at the intersection of augmented/mixed reality, human-computer interaction, and evaluation of AI systems, including large language models (LLMs). Recent work spans visualizing cause-and-effect relationships in mixed reality for teaching manual tasks, immersive virtual reality tools for annotating 3D data, and methods for automating and simulating human judgment when evaluating AI-generated outputs. Earlier work also touched on genomic data analysis related to COVID-19.
Publication output has grown from sparse, irregular activity earlier in the decade to a more consistent pace of 2-4 papers per year since 2021, with a notable increase in 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- An Empirical Study of Automating Agent Evaluation
arXiv (Cornell University) · 2026
- An Empirical Study of Automating Agent Evaluation
arXiv (Cornell University) · 2026
- PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data
arXiv (Cornell University) · 2026
- PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data
arXiv (Cornell University) · 2026
- Visualizing Causality in Mixed Reality for Manual Task Learning: A Study
IEEE Transactions on Visualization and Computer Graphics · 2025
- PILOT: Steering Synthetic Data Generation with Psychological & Linguistic Output Targeting
arXiv (Cornell University) · 2025
- Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation
2024
- Annorama: Enabling Immersive At-Desk Annotation Experiences in Virtual Reality with 3D Point Cloud Dioramas
2024
- Visualizing Causality in Mixed Reality for Manual Task Learning: An Exploratory Study
arXiv (Cornell University) · 2023
- Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure
Pathogens · 2021
- arXiv (Cornell University)×6
- Journal of Computing and Information Science in Engineering×2
- Proceedings of the ACM on Human-Computer Interaction×1
- Micromachines×1
- Pathogens×1
- Zhengzhe Zhu
Computer Science · Purdue University West Lafayette
- Rahul Jain
Computer Science · Purdue University West Lafayette
- Xiyun Hu
Computer Science · Purdue University West Lafayette
- Ana Villanueva
Computer Science · Purdue University West Lafayette
- Ananya Ipsita
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile