<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Omanshu Thapliyal</title><link>https://omanshuthapliyal.github.io/authors/omanshu-thapliyal/</link><description>Recent content on Omanshu Thapliyal</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 12 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://omanshuthapliyal.github.io/authors/omanshu-thapliyal/index.xml" rel="self" type="application/rss+xml"/><item><title>Capacity Management and Resource Allocation for Colocation Datacenters</title><link>https://omanshuthapliyal.github.io/patents/capacity-management-and-resource-allocation-for-colocation-datacenters/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/capacity-management-and-resource-allocation-for-colocation-datacenters/</guid><description/></item><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>A System &amp; Method for Multi-Agent AI Orchestration of Elastic Power for Data Centers</title><link>https://omanshuthapliyal.github.io/patents/a-system-method-for-multi-agent-ai-orchestration-of-elastic-power-for-data-centers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/a-system-method-for-multi-agent-ai-orchestration-of-elastic-power-for-data-centers/</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>Systems and Methods for AI Model Refinement in Industrial Systems</title><link>https://omanshuthapliyal.github.io/patents/systems-and-methods-for-ai-model-refinement-in-industrial-systems/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/systems-and-methods-for-ai-model-refinement-in-industrial-systems/</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>Bounded Reachability &amp; Jailbreak Detection via Contraction-Constrained State Space Models</title><link>https://omanshuthapliyal.github.io/papers/bounded-reachability-jailbreak-detection-via-contraction-constrained-state-space-models/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/bounded-reachability-jailbreak-detection-via-contraction-constrained-state-space-models/</guid><description/></item><item><title>SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning</title><link>https://omanshuthapliyal.github.io/papers/ssm-adapters-via-hankel-reduced-order-modeling-injection-site-determines-task-suitability-in-long-context-fine-tuning/</link><pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/ssm-adapters-via-hankel-reduced-order-modeling-injection-site-determines-task-suitability-in-long-context-fine-tuning/</guid><description/></item><item><title>A Multi-Head Attention Approach for SLA Compliance Monitoring in Data Centers</title><link>https://omanshuthapliyal.github.io/papers/a-multi-head-attention-approach-for-sla-compliance-monitoring-in-data-centers/</link><pubDate>Wed, 06 May 2026 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/a-multi-head-attention-approach-for-sla-compliance-monitoring-in-data-centers/</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>An Algorithm for Distributed Computation of Reachable Sets for Multi-Agent Systems</title><link>https://omanshuthapliyal.github.io/papers/an-algorithm-for-distributed-computation-of-reachable-sets-for-multi-agent-systems/</link><pubDate>Tue, 08 Jul 2025 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/an-algorithm-for-distributed-computation-of-reachable-sets-for-multi-agent-systems/</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><item><title>Distributed Denial-of-Service Resilient Control for Urban Air Mobility Applications</title><link>https://omanshuthapliyal.github.io/papers/distributed-denial-of-service-resilient-control-for-urban-air-mobility-applications/</link><pubDate>Tue, 05 Sep 2023 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/distributed-denial-of-service-resilient-control-for-urban-air-mobility-applications/</guid><description/></item><item><title>Approximating Reachable Sets for Neural Network-Based Models in Real Time via Optimal Control</title><link>https://omanshuthapliyal.github.io/papers/approximating-reachable-sets-for-neural-network-based-models-in-real-time-via-optimal-control/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/approximating-reachable-sets-for-neural-network-based-models-in-real-time-via-optimal-control/</guid><description/></item><item><title>Data-driven Cyberattack Synthesis against Network Control Systems</title><link>https://omanshuthapliyal.github.io/papers/data-driven-cyberattack-synthesis-against-network-control-systems/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/data-driven-cyberattack-synthesis-against-network-control-systems/</guid><description/></item><item><title>Attack-resilient distributed optimization-based control of multi-agent systems with dual interaction networks</title><link>https://omanshuthapliyal.github.io/papers/attack-resilient-distributed-optimization-based-control-of-multi-agent-systems-with-dual-interaction-networks/</link><pubDate>Thu, 29 Dec 2022 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/attack-resilient-distributed-optimization-based-control-of-multi-agent-systems-with-dual-interaction-networks/</guid><description/></item><item><title>Provably Stabilizing Model-Free Q-Learning for Unknown Bilinear Systems</title><link>https://omanshuthapliyal.github.io/papers/provably-stabilizing-model-free-q-learning-for-unknown-bilinear-systems/</link><pubDate>Mon, 29 Aug 2022 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/provably-stabilizing-model-free-q-learning-for-unknown-bilinear-systems/</guid><description/></item><item><title>Approximate reachability for Koopman systems using mixed monotonicity</title><link>https://omanshuthapliyal.github.io/papers/approximate-reachability-for-koopman-systems-using-mixed-monotonicity/</link><pubDate>Fri, 29 Jul 2022 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/approximate-reachability-for-koopman-systems-using-mixed-monotonicity/</guid><description/></item><item><title>Distributed Fast-Tracking Alternating Direction Method of Multipliers (ADMM) Algorithm with Optimal Convergence Rate</title><link>https://omanshuthapliyal.github.io/papers/distributed-fast-tracking-alternating-direction-method-of-multipliers-admm-algorithm-with-optimal-convergence-rate/</link><pubDate>Sun, 17 Oct 2021 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/distributed-fast-tracking-alternating-direction-method-of-multipliers-admm-algorithm-with-optimal-convergence-rate/</guid><description/></item><item><title>Learning Based Cyberattack Design and Defense for Supervisory Control Systems</title><link>https://omanshuthapliyal.github.io/papers/learning-based-cyberattack-design-and-defense-for-supervisory-control-systems/</link><pubDate>Fri, 25 Jun 2021 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/learning-based-cyberattack-design-and-defense-for-supervisory-control-systems/</guid><description/></item><item><title>Path Planning for a Network of Robots with Distributed Multi-Objective Linear Programming</title><link>https://omanshuthapliyal.github.io/papers/path-planning-for-a-network-of-robots-with-distributed-multi-objective-linear-programming/</link><pubDate>Tue, 25 May 2021 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/path-planning-for-a-network-of-robots-with-distributed-multi-objective-linear-programming/</guid><description/></item><item><title>Predicting Mode Confusion Through Mixed Integer Linear Programming</title><link>https://omanshuthapliyal.github.io/papers/predicting-mode-confusion-through-mixed-integer-linear-programming/</link><pubDate>Wed, 11 Dec 2019 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/predicting-mode-confusion-through-mixed-integer-linear-programming/</guid><description/></item><item><title>Kalman filtering with state‐dependent packet losses</title><link>https://omanshuthapliyal.github.io/papers/kalman-filtering-with-statedependent-packet-losses/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/kalman-filtering-with-statedependent-packet-losses/</guid><description/></item><item><title>Distributed state estimation for a stochastic linear hybrid system over a sensor network</title><link>https://omanshuthapliyal.github.io/papers/distributed-state-estimation-for-a-stochastic-linear-hybrid-system-over-a-sensor-network/</link><pubDate>Sun, 01 Jul 2018 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/distributed-state-estimation-for-a-stochastic-linear-hybrid-system-over-a-sensor-network/</guid><description/></item><item><title>Optimal state estimation for LTI systems with imperfect observations</title><link>https://omanshuthapliyal.github.io/papers/optimal-state-estimation-for-lti-systems-with-imperfect-observations/</link><pubDate>Tue, 12 Dec 2017 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/optimal-state-estimation-for-lti-systems-with-imperfect-observations/</guid><description/></item></channel></rss>