| 2026 | CCGRID | Xfagent: Automating Multi-Cloud Deployment of Agentic Workflows on Faas Platforms. | Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan |
| 2026 | CCGRID | Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks. | Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan |
| 2026 | HPDC | ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks. | Pranjal Naman, Yogesh Simmhan |
| 2026 | ICDE | Billion-Scale Fintech Analytics: Scalable Data Management and Anomaly Detection at NPCI. | Bharadwaj Dasari, Turaga Sai Dhiraj, Ganesh Jambhrunkar, Thirumalai Kailasam, Charu Vikram, Saurav Singla, Pranjal Naman, Yogesh Simmhan |
| 2026 | SIGMETRICS | SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling. | Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Rene St. Amant, Chetan Bansal, Victor Rhle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan |
| 2025 | CCGRID | Choreography and Profiling of Quantum-Classical FaaS Workflows on Hybrid Clouds. | Vaibhav Jha, Shikhar Srivastava, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Varad Kulkarni, Anupama Ray, Yogesh Simmhan |
| 2025 | EuroPar | Federated Learning Within Global Energy Budget over Heterogeneous Edge Accelerators. | Roopkatha Banerjee, Tejus Chandrashekar, Ananth Eswar, Yogesh Simmhan |
| 2025 | HiPC | Analysis of Streaming Inference Pipeline for Edge Accelerators. | Mayank Arya, Priyanshu Pansari, Yogesh Simmhan |
| 2025 | HiPC | Towards Scalable Mining of Temporal Graph Motifs over Large-Scale Transaction Networks. | Hrishikesh Haritas, Abhinav Rawat, Pranjal Naman, Ganesh Jambhrunkar, Amit Khandelwal, Saurav Singla, Yogesh Simmhan |
| 2025 | HiPC | Benchmarking WebAssembly on Edge Devices. | Yash Kamble, Sankalp Gawali, Yogesh Simmhan |
| 2025 | HiPC | Early Pedagogical Insights from using AI Tutor Agents in a Graduate-level Systems Course. | Varad Kulkarni, Nikhil Reddy, Yogesh Simmhan |
| 2025 | HiPC | Pedagogy Meets AI & Systems: Towards Orchestrating Tutor Agents in Moodle using FaaS. | Varad Kulkarni, Nikhil Reddy, Yogesh Simmhan |
| 2025 | HiPC | A GPU is All You Need: Rethinking Distributed and Out-of-Core GNN Training. | Pranjal Naman, Yogesh Simmhan |
| 2025 | HiPC | Towards Building Trustworthy Data Provenance for Agentic Workflows. | Aishwarya Parab, Prakhar Pradhan, Manit Tanwar, Yogesh Simmhan, Arnab K. Paul |
| 2025 | HiPC | FLandroid: Towards Federated Learning for Android Edge Devices. | Amit Sharma, Chinmay Mhatre, Punit Rathore, Nitin Auluck, Yogesh Simmhan |
| 2025 | HiPC | Towards an Agentic AI Design across Edge and Cloud. | Shiva Sai Krishna Anand Tokal, Vaibhav Jha, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan |
| 2025 | ICDCS | Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs. | Pranjal Naman, Yogesh Simmhan |
| 2025 | ICWS | AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service. | Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan |
| 2024 | CCGRID | XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. | Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan |
| 2024 | CLOUD | Building AI Agents for Autonomous Clouds: Challenges and Design Principles. | Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan |
| 2024 | EuroPar | Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks. | Pranjal Naman, Yogesh Simmhan |
| 2024 | EuroPar | Topology-Aware Aggregation for Federated Graph Learning. | Pranjal Naman, Yogesh Simmhan |
| 2024 | HiPC | A Preliminary Performance Analysis of LLM Inference on Edge Accelerators. | Mayank Arya, Yogesh Simmhan |
| 2024 | HiPC | Performance Trade-offs in GNN Inference: An Early Study on Hardware and Sampling Configurations. | Pranjal Naman, Yogesh Simmhan |
| 2024 | HiPC | Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting. | Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Pavan Sollu, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan |
| 2024 | HiPC | Towards a Generalized SDK for a Programmable Drones-as-a-Service. | Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan |
| 2024 | HiPC | Towards Platform-aware Application of Qubit Reuse in Hybrid Quantum-Classical Workflows. | Shikhar Srivastava, Mridulanka Nath, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan |
| 2024 | HiPC | Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device. | Mumuksh Tayal, Yogesh Simmhan |
| 2024 | HiPC | Protocol for Trustful Data Consumption from Data Repositories by Workflow Engines. | Shiva Sai Krishna Anand Tokal, Srinath Perera, Yogesh Simmhan |
| 2023 | CCGRID | A Lightweight, Mobility-Aware, Geospatial & Temporal Data Store for Multi-UAV Systems. | Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan |
| 2023 | CCGRID | XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds. | Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan |
| 2023 | CCGRID | Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. | Prashanthi S. K, Vinayaka Hegde, Yogesh Simmhan |
| 2023 | CCGRID | Enhancing Interval-centric Distributed Computing to Support Incremental Graphs. | Varad Kulkarni, Ruchi Bhoot, Animesh Baranawal, Yogesh Simmhan |
| 2023 | CCGRID | To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks. | Varad Kulkarni, Akarsh Chaturvedi, Pranjal Naman, Yogesh Simmhan |
| 2023 | CCGRID | Performance Modelling of Graph Neural Networks. | Pranjal Naman, Yogesh Simmhan |
| 2023 | CCGRID | CCGRID 2023: A Holistic Approach to Inclusion and Belonging. | Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan |
| 2023 | CCGRID | Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. | Suman Raj, Harshil Gupta, Yogesh Simmhan |
| 2023 | CCGRID | Towards a Mobile App Platform for Personalized UAV Fleets using Edge and Cloud. | Suman Raj, Yogesh Simmhan |
| 2023 | CCGRID | Comparing the Orchestration of Quantum Applications on Hybrid Clouds. | Rajiv Sangle, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan |
| 2023 | CHI | Ocularone: Exploring Drones-based Assistive Technologies for the Visually Impaired. | Suman Raj, Swapnil Padhi, Yogesh Simmhan |
| 2023 | HiPC | A Lossless Compression Pipeline for Petabyte-Scale Whole Genome Sequencing Data. | Ajeya Bhat, Sai Manasa Chadalavada, Nagakishore Jammula, Chirag Jain, Yogesh Simmhan |
| 2023 | HiPC | Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. | Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan |
| 2023 | IROS | A Co-Simulation Framework for Communication and Control in Autonomous Multi-Robot Systems. | Srikrishna Acharya, Mukunda Bharatheesha, Yogesh Simmhan, Bharadwaj Amrutur |
| 2023 | QCE | Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques. | Tuhin Khare, Ritajit Majumdar, Rajiv Sangle, Anupama Ray, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan |
| 2023 | SIGMETRICS | Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. | Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan |
| 2022 | CCGRID | Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources. | Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra, Aakash Khochare, Yogesh Simmhan |
| 2022 | COMSNETS | CORNET 2.0: A Co-Simulation Middleware for Robot Networks. | Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharathesa, Yogesh Simmhan |
| 2022 | EuroSys | Optimizing the interval-centric distributed computing model for temporal graph algorithms. | Animesh Baranawal, Yogesh Simmhan |
| 2022 | HiPC | Workshop on Data Fabric for Hybrid Clouds (WDFHC). | Yogesh Simmhan, Sameep Mehta |
| 2021 | COMSNETS | Network Emulation For Tele-driving Application Development. | Srikrishna Acharya, S. Sadgun S. Devanahalli, Alok Rawat, Kuruvilla Varghese, Pratik Sharma, Bharadwaj Amrutur, Ashish Joglekar, Raghu Krishnapuram, Yogesh Simmhan, Himanshu Tyagi |
| 2021 | DEXA | Event Related Data Collection from Microblog Streams. | Manoj K. Agarwal, Animesh Baranawal, Yogesh Simmhan, Manish Gupta |
| 2021 | INFOCOM | Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions. | Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli, Sajal K. Das |
| 2020 | CCGRID | A Distributed Path Query Engine for Temporal Property Graphs. | Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan |
| 2020 | COMSNETS | CORNET: A Co-Simulation Middleware for Robot Networks. | Srikrishna Acharya, Bharadwaj S. Amrutur, Yogesh Simmhan, Aditya Gopalan, Parimal Parag, Himanshu Tyagi |
| 2020 | EuroPar | TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage. | Dhruv Garg, Prathik Shirolkar, Anshu Shukla, Yogesh Simmhan |
| 2020 | ICDE | An Interval-centric Model for Distributed Computing over Temporal Graphs. | Swapnil Gandhi, Yogesh Simmhan |
| 2019 | CCGRID | Dynamic Scaling of Video Analytics for Wide-Area Tracking in Urban Spaces. | Aakash Khochare, Sheshadri K. R, Shriram R., Yogesh Simmhan |
| 2019 | HiPC | An Empirical Study on Efficient Storage of Human Genome Data. | Diksha Chaudhary, Bratati Kahali, Yogesh Simmhan |
| 2019 | ICDCN | A scalable and composable analytics platform for distributed wide-area tracking. | Aakash Khochare, Yogesh Simmhan |
| 2019 | ICWS | ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources. | Sumit Kumar Monga, Sheshadri K. R, Yogesh Simmhan |
| 2019 | ISORC | Toward Resilient Stream Processing on Clouds using Moving Target Defense. | Shilpa Chaturvedi, Yogesh Simmhan |
| 2018 | CCGRID | Adaptive Energy-Aware Scheduling of Dynamic Event Analytics Across Edge and Cloud Resources. | Rajrup Ghosh, Siva Prakash Reddy Komma, Yogesh Simmhan |
| 2018 | EuroPar | VIoLET: A Large-Scale Virtual Environment for Internet of Things. | Shreyas Badiger, Shrey Baheti, Yogesh Simmhan |
| 2018 | ICDCS | Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds. | Anshu Shukla, Yogesh Simmhan |
| 2017 | HiPC | Characterization of Vertex-Centric Breadth First Search for Lattice Graphs. | Ravikant Dindokar, Yogesh Simmhan |
| 2017 | HiPC | ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads. | Jayanth Kalyanasundaram, Yogesh Simmhan |
| 2017 | ICFEC | Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions. | Prateeksha Varshney, Yogesh Simmhan |
| 2017 | ICSOC | Distributed Video Analytics Across Edge and Cloud Using \mathbb ECHO. | Aakash Khochare, Pushkara Ravindra, Siva P. Reddy, Yogesh Simmhan |
| 2017 | ICSOC | \mathbb ECHO : An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge. | Pushkara Ravindra, Aakash Khochare, Sivaprakash Reddy, Sarthak Sharma, Prateeksha Varshney, Yogesh Simmhan |
| 2016 | CCGRID | Elastic Partition Placement for Non-stationary Graph Algorithms. | Ravikant Dindokar, Yogesh Simmhan |
| 2016 | CCGRID | GoDB: From Batch Processing to Distributed Querying over Property Graphs. | Nitin Jamadagni, Yogesh Simmhan |
| 2014 | CCGRID | PLAStiCC: Predictive Look-Ahead Scheduling for Continuous Dataflows on Clouds. | Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna |
| 2014 | COMAD | Subgraph Rank: PageRank for Subgraph-Centric Distributed Graph Processing. | Nitin Chandra Badam, Yogesh Simmhan |
| 2014 | COMAD | Event Processing across Edge and the Cloud for Internet of Things Applications. | Nithyashri Govindarajan, Yogesh Simmhan, Nitin Jamadagni, Prasant Misra |
| 2014 | EuroPar | GoFFish: A Sub-graph Centric Framework for Large-Scale Graph Analytics. | Yogesh Simmhan, Alok Gautam Kumbhare, Charith Wickramaarachchi, Soonil Nagarkar, Santosh Ravi, Cauligi S. Raghavendra, Viktor K. Prasanna |
| 2013 | SC | Exploiting application dynamism and cloud elasticity for continuous dataflows. | Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna |
| 2011 | CCGRID | Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms. | Daniel Zinn, Quinn J. Hart, Timothy M. McPhillips, Bertram Ludscher, Yogesh Simmhan, Michail Giakkoupis, Viktor K. Prasanna |
| 2011 | ICDM | Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators. | Saima Aman, Yogesh Simmhan, Viktor K. Prasanna |
| 2007 | ICCS | Realization of Dynamically Adaptive Weather Analysis and Forecasting in LEAD: Four Years Down the Road. | Lavanya Ramakrishnan, Yogesh Simmhan, Beth Plale |
| 2006 | ICDE | Towards a Quality Model for Effective Data Selection in Collaboratories. | Yogesh Simmhan, Beth Plale, Dennis Gannon |
| 2005 | ICSOC | Service Oriented Architectures for Science Gateways on Grid Systems. | Dennis Gannon, Beth Plale, Marcus Christie, Liang Fang, Yi Huang, Scott Jensen, Gopi Kandaswamy, Suresh Marru, Sangmi Lee Pallickara, Satoshi Shirasuna, Yogesh Simmhan, Aleksander Slominski, Yiming Sun |