Rajesh Kalyanam
Decision Sciences · Purdue University West Lafayette
Publications
52
Citations
177
Est. group size
~4
Recurring co-author estimate
Active years
19
Publishing since 2007
Rajesh Kalyanam works on building computing infrastructure and software platforms that support large-scale data-intensive research, including science gateways, cloud-based education tools, and geospatial data frameworks. Recent projects apply machine learning methods (such as deep learning and point cloud processing) to problems like urban environmental modeling and archaeological site restoration, alongside work on high-performance computing system reliability and cybersecurity education platforms. The work tends to combine software/infrastructure development with applied case studies in geospatial and disaster-related contexts.
Publication output has fluctuated over the last decade, dropping from a peak in 2017 to a low, steady rate of around 3-6 papers per year in recent years, with a gap in 2024 followed by renewed output in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
2025
- I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education
2025
- Fresco: A Public Multi-Institutional Dataset for Understanding HPC System Behavior and Dependability
2025
- Risk-Prone and Risk-Averse Behavior in Natural Emergencies: An Appraisal Theory Approach
2025
- Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
arXiv (Cornell University) · 2025
- Risk-Prone and Risk-Averse Behavior in Natural Emergencies: An Appraisal Theory Approach
arXiv (Cornell University) · 2025
- Deep learning-based urban morphology for city-scale environmental modeling
PNAS Nexus · 2023
- Science Gateways
Geographic Information Science & Technology Body of Knowledge · 2023
- Experiences in Managing CHEESEHub: A Cloud-based Cybersecurity Education Gateway
Zenodo (CERN European Organization for Nuclear Research) · 2022
- Deep Learning based Urban Morphology for City-scale Environmental Modeling
Zenodo (CERN European Organization for Nuclear Research) · 2022
- Deep Learning based Urban Morphology for City-scale Environmental Modeling
Zenodo (CERN European Organization for Nuclear Research) · 2022
- Securing CHEESEHub: A Cloud-based, Containerized Cybersecurity Education Platform
Practice and Experience in Advanced Research Computing · 2021
- A Template for Rapid Development of Interactive Computing Tools
Zenodo (CERN European Organization for Nuclear Research) · 2021
- Editorial: Science Gateways Special Issue 2020
Concurrency and Computation Practice and Experience · 2021
- Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service
Practice and Experience in Advanced Research Computing · 2020
- Figshare×6
- Practice and Experience in Advanced Research Computing×4
- Zenodo (CERN European Organization for Nuclear Research)×4
- Proceedings of the Practice and Experience on Advanced Research Computing×2
- arXiv (Cornell University)×2
- Craig A. Stewart
Decision Sciences · Indiana University
- Jeremy Fischer
Decision Sciences · Indiana University
- Preston Smith
Decision Sciences · Purdue University West Lafayette
- David Y. Hancock
Decision Sciences · Indiana University
- Robert Quick
Decision Sciences · Indiana University
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.
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