3 citations · 3 across the 6 of their papers we have counts for
6 papers
Fair and Efficient Scheduling for Sensor Networks via Online Whittle Index Policy
Sokipriala Jonah, Seong Ki Yoo, Saurav Sthapit +1
Wake-Up Radio (WUR) enables resource-constrained, battery-powered sensor nodes to remain in a low-power deep sleep state while continuously listening for a Wake-Up Signal (WUS). Se…
Adaptive Scheduling: A Reinforcement Learning Whittle Index Approach for Wireless Sensor Networks
Sokipriala Jonah, Seong Ki Yoo, Saurav Sthapit
We propose a reinforcement learning based scheduling framework for Restless Multi-Armed Bandit (RMAB) problems, centred on a Whittle Index Q-Learning policy with Upper Confidence B…
An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents
Ayesha Amjad, Saurav Sthapit, Tahir Qasim Syed
Extracting alphanumeric data from form-like documents such as invoices, purchase orders, bills, and financial documents is often performed via vision (OCR) and learning algorithms…
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks
Saurav Sthapit, Subhash Lakshminarayana, Ligang He +2
The rise of NewSpace provides a platform for small and medium businesses to commercially launch and operate satellites in space. In contrast to traditional satellites, NewSpace pro…
Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids
Subhash Lakshminarayana, Saurav Sthapit, Hamidreza Jahangir +2
Advances in edge computing are powering the development and deployment of Internet of Things (IoT) systems to provide advanced services and resource efficiency. However, large-scal…
A Comparison of Data-Driven Techniques for Power Grid Parameter Estimation
Subhash Lakshminarayana, Saurav Sthapit, Carsten Maple
Power grid parameter estimation involves the estimation of unknown parameters, such as inertia and damping coefficients, using observed dynamics. In this work, we present a compari…