<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Malarvizhi Sankaranarayanasamy on Omanshu Thapliyal</title><link>https://omanshuthapliyal.github.io/authors/malarvizhi-sankaranarayanasamy/</link><description>Recent content in Malarvizhi Sankaranarayanasamy on Omanshu Thapliyal</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://omanshuthapliyal.github.io/authors/malarvizhi-sankaranarayanasamy/index.xml" rel="self" type="application/rss+xml"/><item><title>AI-based System &amp; Method for Safe Control Generation for Unmanned Aerial Systems</title><link>https://omanshuthapliyal.github.io/patents/ai-based-system-method-for-safe-control-generation-for-unmanned-aerial-systems/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/ai-based-system-method-for-safe-control-generation-for-unmanned-aerial-systems/</guid><description/></item><item><title>Methods and Systems for Dynamic Risk Countermeasures in Networked Systems</title><link>https://omanshuthapliyal.github.io/patents/methods-and-systems-for-dynamic-risk-countermeasures-in-networked-systems/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/methods-and-systems-for-dynamic-risk-countermeasures-in-networked-systems/</guid><description/></item><item><title>Future Proofing Industrial Systems Automation – Learn from and Learn with Humans</title><link>https://omanshuthapliyal.github.io/patents/future-proofing-industrial-systems-automation-learn-from-and-learn-with-humans/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/future-proofing-industrial-systems-automation-learn-from-and-learn-with-humans/</guid><description/></item><item><title>Automated SLA Compliance Monitoring System for Colocation Data Centers</title><link>https://omanshuthapliyal.github.io/patents/automated-sla-compliance-monitoring-system-for-colocation-data-centers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/automated-sla-compliance-monitoring-system-for-colocation-data-centers/</guid><description/></item><item><title>Behind-the-Meter Generation &amp; Storage for Data Centers via Interacting World Models</title><link>https://omanshuthapliyal.github.io/patents/behind-the-meter-generation-storage-for-data-centers-via-interacting-world-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/behind-the-meter-generation-storage-for-data-centers-via-interacting-world-models/</guid><description/></item><item><title>Self-Verifying Spatial Model That Forecasts Error Trajectories Conditioned on the Facility Sensing Configuration, Gates with Refusal at a Location, Commands a Measurement, and Corrects the Forecaster Before Re-Decision</title><link>https://omanshuthapliyal.github.io/patents/self-verifying-spatial-model-that-forecasts-error-trajectories-conditioned-on-the-facility-sensing-configuration-gates-with-refusal-at-a-location-commands-a-measurement-and-corrects-the-forecaster-before-re-decision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/self-verifying-spatial-model-that-forecasts-error-trajectories-conditioned-on-the-facility-sensing-configuration-gates-with-refusal-at-a-location-commands-a-measurement-and-corrects-the-forecaster-before-re-decision/</guid><description/></item><item><title>Context-Aware Agentic AI for Alarm Summarization</title><link>https://omanshuthapliyal.github.io/patents/context-aware-agentic-ai-for-alarm-summarization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/context-aware-agentic-ai-for-alarm-summarization/</guid><description/></item><item><title>Assisting Reinforcement Learning Agent Training Using Large Language Models</title><link>https://omanshuthapliyal.github.io/patents/assisting-reinforcement-learning-agent-training-using-large-language-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/assisting-reinforcement-learning-agent-training-using-large-language-models/</guid><description/></item><item><title>Intent-Based Multi-Fidelity Capacity Planning and Search in Colocation Data Centers</title><link>https://omanshuthapliyal.github.io/patents/intent-based-multi-fidelity-capacity-planning-and-search-in-colocation-data-centers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/intent-based-multi-fidelity-capacity-planning-and-search-in-colocation-data-centers/</guid><description/></item><item><title>Physical AI System and Method for World-Model-Guided Multi-Agent Coordination of Joint Adaptive Conservatism Margins in Grid-Tied and Islanded Data Center Power Dispatch with Physical Assurance Certification</title><link>https://omanshuthapliyal.github.io/patents/physical-ai-system-and-method-for-world-model-guided-multi-agent-coordination-of-joint-adaptive-conservatism-margins-in-grid-tied-and-islanded-data-center-power-dispatch-with-physical-assurance-certification/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/physical-ai-system-and-method-for-world-model-guided-multi-agent-coordination-of-joint-adaptive-conservatism-margins-in-grid-tied-and-islanded-data-center-power-dispatch-with-physical-assurance-certification/</guid><description/></item><item><title>Safe Navigation using Neural Radiance Fields via Reachable Sets</title><link>https://omanshuthapliyal.github.io/papers/safe-navigation-using-neural-radiance-fields-via-reachable-sets/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/safe-navigation-using-neural-radiance-fields-via-reachable-sets/</guid><description/></item><item><title>Embedding Safety Requirements into Learning-Based Controllers for Urban Air Mobility Applications</title><link>https://omanshuthapliyal.github.io/papers/embedding-safety-requirements-into-learning-based-controllers-for-urban-air-mobility-applications/</link><pubDate>Thu, 04 Jan 2024 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/embedding-safety-requirements-into-learning-based-controllers-for-urban-air-mobility-applications/</guid><description/></item><item><title>Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators</title><link>https://omanshuthapliyal.github.io/papers/colocation-datacenter-customer-power-usage-forecasting-using-synthetic-data-and-integration-of-macroeconomic-indicators/</link><pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/colocation-datacenter-customer-power-usage-forecasting-using-synthetic-data-and-integration-of-macroeconomic-indicators/</guid><description/></item></channel></rss>