activity
20242026
most citedHarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Harmonica: A Self-Adaptation Exemplar for Sustainable MLOps

Ananya Halgatti, Shaunak Biswas, Hiya Bhatt +2

Machine learning enabled systems (MLS) often operate in settings where they regularly encounter uncertainties arising from changes in their surrounding environment. Without structu…

cs.SE2026

Architecting AgentOps Needs CHANGE

Shaunak Biswas, Hiya Bhatt, Karthik Vaidhyanathan

The emergence of Agentic AI systems has outpaced the architectural thinking required to operate them effectively. These agents differ fundamentally from traditional software: their…

cs.SE2025★ 1 cited

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps

Hiya Bhatt, Shaunak Biswas, Srinivasan Rakhunathan +1

Machine Learning Enabled Systems (MLS) are becoming integral to real-world applications, but ensuring their sustainable performance over time remains a significant challenge. These…

cs.LG2025

Architecting Digital Twins for Intelligent Transportation Systems

Hiya Bhatt, Sahil, Karthik Vaidhyanathan +4

Modern transportation systems face growing challenges in managing traffic flow, ensuring safety, and maintaining operational efficiency amid dynamic traffic patterns. Addressing th…

cs.SE2024

Towards Architecting Sustainable MLOps: A Self-Adaptation Approach

Hiya Bhatt, Shrikara Arun, Adyansh Kakran +1

In today's dynamic technological landscape, sustainability has emerged as a pivotal concern, especially with respect to architecting Machine Learning enabled Systems (MLS). Many ML…