1 citations · 1 across the 10 of their papers we have counts for
14 papers
Bounding Queue Waits for Fair Scheduling of Bursty HPC Workloads via Hierarchical Algorithms
Karaen Senthilkumar, Suman Raj, Maxime Gonthier +3
HPC clusters are shared among many projects, each holding an allocation of node-hours, and ensuring fairness is becoming harder. Foundation models workflows and automated pipelines…
Adaptive and Cost-Efficient Joint Scheduling of UAV Routes and Analytics with Transit-Borne Fog
Suman Raj, Arindam Khanda, Gagana M D +2
Unmanned Aerial Vehicles (UAVs) performing deadline-bound analytics over large rural areas cannot reliably offload workloads to sparse cellular base stations. We propose an approac…
Reputation as Community Memory for the Agentic Web
Ryan Chard, Gus Ellerm, Alexander Brace +4
Agents can now externalize experience into memory, consolidating historical traces into semantic knowledge and procedural shortcuts that persist between sessions. Such memory is ty…
Avatar: Toward Autonomous End-to-End Orchestration of Scientific Workflows using LLMs
Suman Raj, Hai Duc Nguyen, Haochen Pan +3
Scientific workflow management (WMSs) systems automate execution, yet orchestrate using fixed, hand-tuned rules. LLM agents promise more autonomous orchestration, but it remains un…
Quantum Integrated High-Performance Computing: Envisioning a Layered Architecture for Next-Generation Hybrid Computing Infrastructure
Suman Raj, Siva Sai, Yogesh Simmhan +2
High-performance computing (HPC) has evolved over decades through multiple architectural transitions, from vector supercomputers to massively parallel CPU clusters and GPU-accelera…
AeroDaaS: A Programmable Drones-as-a-Service Platform for Intelligent Aerial Systems
Kautuk Astu, Suman Raj, Priyanshu Pansari +1
The increasing adoption of UAVs equipped with advanced sensors and GPU-accelerated edge computing has enabled real-time AI-driven applications in domains such as precision agricult…
AirFed: A Federated Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-UAV Cooperative Mobile Edge Computing
Zhiyu Wang, Suman Raj, Rajkumar Buyya
Multiple Unmanned Aerial Vehicles (UAVs) cooperative Mobile Edge Computing (MEC) systems face critical challenges in coordinating trajectory planning, task offloading, and resource…
AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios
Suman Raj, Radhika Mittal, Rajiv Mayani +5
Drone fleets equipped with onboard cameras, computer vision, and Deep Neural Network (DNN) models present a powerful paradigm for real-time spatio-temporal decision-making. In wild…
AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets
Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta +1
Recent years have seen an unprecedented growth in research that leverages the newest computing paradigm of Internet of Drones, comprising a fleet of connected Unmanned Aerial Vehic…
Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired
Suman Raj, Swapnil Padhi, Ruchi Bhoot +2
Autonomous navigation by drones using onboard sensors combined with machine learning and computer vision algorithms is impacting a number of domains, including agriculture, logisti…
AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service
Suman Raj, Rajdeep Singh, Kautuk Astu +1
The increasing adoption of UAVs with advanced sensors and GPU-accelerated edge computing has enabled real-time AI-driven applications in fields such as precision agriculture, wildf…
NeoARCADE: Robust Calibration for Distance Estimation to Support Assistive Drones for the Visually Impaired
Suman Raj, Bhavani A Madhabhavi, Madhav Kumar +2
Autonomous navigation by drones using onboard sensors, combined with deep learning and computer vision algorithms, is impacting a number of domains. We examine the use of drones to…
Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired
Suman Raj, Bhavani A Madhabhavi, Kautuk Astu +3
VIP navigation requires multiple DNN models for identification, posture analysis, and depth estimation to ensure safe mobility. Using a hazard vest as a unique identifier enhances…
Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
Suman Raj, Radhika Mittal, Harshil Gupta +1
Drone fleets with onboard cameras coupled with computer vision and DNN inferencing models can support diverse applications. One such novel domain is for one or more buddy drones to…