Program
Agenda
PAISE 2026 will be held on Tuesday, May 26, 2026, in the Bacchus Room at the Marriott on Canal Street in New Orleans, Louisiana, USA.
| Event | Description | Start | End | Duration |
|---|---|---|---|---|
| Introduction | Introductory Remarks - PAISE Organizers | 9:00 AM | 9:10 AM | 10 min |
| Keynote | Keynote - Dr. Ravi Iyer, Google | 9:10 AM | 10:00 AM | 50 min |
| Break - 1 | 10:00 AM | 10:30 AM | 30 min | |
| Session 1 | PAISE-01: EdgeCudaCoder: A Multi-Agent Framework to Generate Energy-Efficient CUDA Codes for Edge Computing Systems. Kshitij Bhardwaj, and Harshitha Menon | 10:30 AM | 10:55 AM | 25 min |
| PAISE-02: A Data-Driven, Forecast-Triggered Edge Orchestration workflow for Adaptive Air Quality Sensing Using NDP Catalog and SciDx Streaming. Sumaiya Azad, Jess Tate, Saleem Alharir, Daniel Mendoza, Simon Brewer, and Manish Parashar | 10:55 AM | 11:20 AM | 20 min | |
| PAISE-03: IGEA: A Framework for Sleep Tracking via Edge-based Federated Learning on Multimodal Data. Susanna Bardini, Alessandro Verosimile, Giovanni Vaccarino, and Marco Domenico Santambrogio | 11:20 AM | 11:40 AM | 25 min | |
| PAISE-04: Evaluating Deployment Trade-offs of Compact Vision-Language Models on Edge Systems. Alejandra Rios, Fatima Mora-Garcia, and Michael Papka | 11:40 AM | 12:00 PM | 20 min | |
| Lunch | 12:00 PM | 1:30 PM | 90 min | |
| Session 2 | PAISE-05: A Preliminary Study of LLM Inferencing on Sandboxed Environments for Jetson Edge Platforms. Mayank Arya, Yash Kamble, and Yogesh Simmhan | 1:30 PM | 1:50 PM | 20 min |
| Invited: ArKrum: Adaptive and Stable Robust Aggregation for Federated Learning. Neena Imam, Tomasz Bednarz, and Nahed Abdelgaber | 1:50 PM | 2:10 PM | 20 min | |
| Invited: Edge-Native Data-Aware Runtime Systems for Distributed AI: Bridging HPC and Edge Workloads. Arne Hendricks | 2:10 PM | 2:30 PM | 20 min | |
| Invited: Directional Pedestrian Flow Analysis Using Edge Computing: An Educational Framework for AI-Driven Spatial Analytics Elizabeth Cardoso, Michael Cortez, Fatima Mora-Garcia, Michael E. Papka, Om Patel, and JD Pirtle | 2:30 PM | 2:50 PM | 20 min | |
| Invited: Performance Optimizations for LLM Training and Inference. Thejasvi Vijayaraj, Google Inc. | 2:50 PM | 3:10 PM | 20 min | |
| Break - 2 | 3:10 PM | 3:30 PM | 20 min | |
| Panel | PAISE Panel - TBD | 3:30 PM | 4:50 PM | 80 min |
| Conclusion | Closing Remarks, Feedback, and Next Steps. | 4:50 PM | 5:00 PM | 10 min |