collaborators

5 papers

cs.LG2026

Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration

Adithya Parthasarathy, Aswathnarayan Muthukrishnan Kirubakaran, Akshay Deshpande +5

Accurate calibration is essential for instruments whose measurements must remain traceable, reliable, and compliant over long operating periods. Fixed-interval programs are easy to…

cs.IR2026

Scalable Sequential Recommendation under Latency and Memory Constraints

Adithya Parthasarathy, Aswathnarayan Muthukrishnan Kirubakaran, Vinoth Punniyamoorthy +5

Sequential recommender systems must model long-range user behavior while operating under strict memory and latency constraints. Transformer-based approaches achieve strong accuracy…

cs.DC2026

Push Down Optimization for Distributed Multi Cloud Data Integration

Ravi Kiran Kodali, Vinoth Punniyamoorthy, Akash Kumar Agarwal +5

Enterprises increasingly adopt multi cloud architectures to take advantage of diverse database engines, regional availability, and cost models. In these environments, ETL pipelines…

cs.AI2026

Cognitive Platform Engineering for Autonomous Cloud Operations

Vinoth Punniyamoorthy, Nitin Saksena, Srivenkateswara Reddy Sankiti +4

Modern DevOps practices have accelerated software delivery through automation, CI/CD pipelines, and observability tooling,but these approaches struggle to keep pace with the scale…

cs.DC2025

Scalable Cloud-Native Architectures for Intelligent PMU Data Processing

Nachiappan Chockalingam, Akshay Deshpande, Lokesh Butra +5

Phasor Measurement Units (PMUs) generate high-frequency, time-synchronized data essential for real-time power grid monitoring, yet the growing scale of PMU deployments creates sign…