Sachith Withana
Computer Science · Indiana University
Publications
16
Citations
36
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2015
Sachith Withana works in computer science on systems for managing and tracking machine learning models and data, especially in edge and cloud computing environments where processing happens close to where data is generated. Recent projects focus on documenting AI/ML models (through 'model cards'), building frameworks that distribute AI work across networked devices, and organizing knowledge about scientific and field experiments. The work combines data management, knowledge representation, and applied machine learning.
Publication activity has been intermittent across the decade but picked up notably around 2023 and 2025, averaging about 2.2 papers per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- ML Field Planner: Analyzing and Optimizing ML Pipelines For Field Research
2025
- Patra-RGCN: Missing Link Prediction in Model Card Graphs through Node Property Encodings
2025
- AI/ML Model Cards in Edge AI Cyberinfrastructure: towards Agentic AI
arXiv (Cornell University) · 2025
- Vector embedding of multi-modal texts: a tool for discovery?
arXiv (Cornell University) · 2025
- Patra ModelCards: AI/ML Accountability in the Edge-Cloud Continuum
2024
- CKN Edge AI Dataset for Image inference at the Edge (CEAD)
Zenodo (CERN European Organization for Nuclear Research) · 2023
- CKN Edge AI Dataset for Image inference at the Edge (CEAD)
Zenodo (CERN European Organization for Nuclear Research) · 2023
- CKN Edge AI Dataset for Image inference at the Edge (CEAD)
Zenodo (CERN European Organization for Nuclear Research) · 2023
- CKN: An Edge AI Distributed Framework
2023
- CKN Edge AI Dataset for Image inference at the Edge (CEAD)
Zenodo (CERN European Organization for Nuclear Research) · 2023
- CKN Edge AI Dataset for Image inference at the Edge (CEAD)
Zenodo (CERN European Organization for Nuclear Research) · 2023
- Towards System for Knowledge Representation of Campaign Experimentation.
2021
- Campaign Knowledge Network: Building Knowledge for Campaign Efficiency
arXiv (Cornell University) · 2021
- Big Provenance Stream Processing for Data Intensive Computations
2018
- Zenodo (CERN European Organization for Nuclear Research)×5
- arXiv (Cornell University)×3
- Data and Information Management×1
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 11, 2026.
Claim or correct this profile