178 citations · 1.1k across the 84 of their papers we have counts for
92 papers
SemQBench: Benchmarking Decomposition-Aware Runtime Policies for Quantum-HPC Search
Chandrachud Pati, Yogesh Simmhan
Quantum processors are increasingly used as accelerators inside high-performance computing (HPC) workflows. A workflow runtime decides which quantum circuits to run, how to group t…
Understanding KV Residency in Production-Scale Agentic LLM Workloads
Mayank Arya, Agrim Bari, Anjaly Parayil +4
Agentic large language model (LLM) applications turn one user request into a sequence of model and tool calls over a growing context. Retaining this context's key-value (KV) state…
Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving
Mahmoud Selim, Cristina Cipriani, Karl Henrik Johansson
Offline reinforcement learning enables reward-driven policy improvement from fixed datasets without requiring online exploration, making it particularly attractive in safety-critic…
TrafficFab: An Autonomic Edge-Cloud Testbed Fabric forAI-Driven Traffic Management
Mayank Arya, Pranjal Naman, Priyanshu Pansari +5
Traffic management in emerging megacities requires real-time analytics over thousands of CCTV video streams under latency, bandwidth, compute and energy constraints. We present Tra…
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…
A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric
Gunika Verma, Aashutosh A, Pooja Srinivas +9
Large-scale managed cloud databases leverage sophisticated load Packing and Migration (PAM) algorithms, which provide the efficiencies necessary for running these services at scale…
A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction
Ajeet Kumar Yadav, Sankaran Balasubramaniam, Aritra Chatterjee +3
Integrated Sensing and Communication (ISAC) combines sensing and communication to efficiently utilize wireless resources and is emerging as a key paradigm for next-generation wirel…
Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs
Pranjal Naman, Yogesh Simmhan
Graph Neural Network (GNN) inference on billion-scale graphs is challenging due to the large memory footprint of features and embeddings and high disk I/O costs in out-of-core sett…
ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
Pranjal Naman, Yogesh Simmhan
Graph Neural Network (GNN) inference on billion-scale graphs is critical for domains like fintech and recommendation systems. Full-graph inference on these large graphs can be chal…
Per-Phase Fidelity Attribution for Quantum Compilers using HBR Decomposition
Chandrachud Pati, Yogesh Simmhan
Quantum compilers sit between an algorithm's theoretical promise and what executes on physical hardware. Existing benchmarks report aggregate post-transpilation metrics but cannot…
End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric
Pavan Sollu, Aniruddha Mukherjee, Divya Pulivarthi +6
Hyperledger Fabric (HLF) is a modular, permissioned blockchain widely adopted in enterprise settings. Enhancing its throughput and latency remains challenging, as optimization deci…
Noise-aware selection of circuit cutting strategies under hardware noise non-uniformity
Debarthi Pal, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri +2
Noise in contemporary quantum hardware is highly non-uniform across qubits and couplers, giving rise to localized low-noise "islands" within otherwise noisy device topologies. As q…
BMD-45: A Large-Scale CCTV Vehicle Detection Dataset for Urban Traffic in Developing Cities
Akash Sharma, Chinmay Mhatre, Sankalp Gawali +8
Robust vehicle detection from fixed CCTV cameras is critical for Intelligent Transportation Systems. Yet existing benchmarks predominantly feature relatively homogeneous, highly or…
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…
AeroGen: Structured Prompting for Low-Code Drone-as-a-Service Mission Composition
Kautuk Astu, Yogesh Simmhan
Developing autonomous drone applications requires developers to compose navigation, sensing, analytics and compute services while satisfying physical and environmental constraints.…
Folding-Free Zero-Noise Extrapolation by Layout-induced Noise Diversity
Debarthi Pal, Yogesh Simmhan
Near term quantum processors operate in a noise dominated regime, motivating error mitigation techniques that recover accurate expectation values without full fault tolerance. Zero…
Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks
Akash Sharma, Pranjal Naman, Roopkatha Banerjee +11
Real-time city-scale traffic analytics requires processing 100s-1000s of CCTV streams under strict latency, bandwidth, and compute limits. We present a scalable AI-driven Intellige…
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…
Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
Nathan Ng, Walid A. Hanafy, Prashanthi Kadambi +5
IoT applications increasingly rely on on-device AI accelerators to ensure high performance, especially in low-connectivity and safety-critical scenarios. However, the limited on-ch…
RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs
Pranjal Naman, Parv Agarwal, Hrishikesh Haritas +1
Real-world graphs are dynamic, with frequent updates to their structure and features due to evolving vertex and edge properties. These continual changes pose significant challenges…
FAME: QoS-aware Async Service Orchestration for Agentic Workflows
Haseeb Abdullah Kollorath, Vaibhav Jha, Varad Kulkarni +5
Agentic workflows built on Large Language Models (LLMs) increasingly rely on external tools, with Model Context Protocol (MCP) services emerging as a common interface for tool disc…
The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic
Akash Sharma, Chinmay Mhatre, Sankalp Gawali +10
This report describes the UVH-26 dataset, the first public release by AIM@IISc of a large-scale dataset of annotated traffic-camera images from India. The dataset comprises 26,646…
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…
Towards AI Agents for Course Instruction in Higher Education: Early Experiences from the Field
Yogesh Simmhan, Varad Kulkarni
This article presents early findings from designing, deploying and evaluating an AI-based educational agent deployed as the primary instructor in a graduate-level Cloud Computing c…