LDOS PhD Research School
Advances in Learned Systems
Join us for the inaugural PhD Research School event hosted by the Learning Directed Operating System Expedition. This event explores the fields of operating systems, networked systems, machine learning, formal methods, and security, bringing together experts and early-career researchers to discuss the latest advancements and challenges in these domains.
Over the course of two days, participants will engage in a focused program that includes tutorials, lectures, and research presentations. The event will feature research presentations from leading experts in the field, allowing attendees to deepen their understanding of cutting-edge research.
Dates
May 20-21, 2025
Location
Gates-Dell Complex
The University of Texas at Austin
Agenda
Day 1: May 20, 2025 | ||
| 8:30 - 9:00 AM | Check-in and Breakfast | - |
| 9:00 - 9:15 AM | Welcome and Opening Remarks | Daehyeok Kim and Isil Dillig, Program Co-Chairs |
| 9:15 - 9:45 AM | Introduction to the Learning Directed Operating System Expedition | Aditya Akella, Director of LDOS |
| 9:45 - 10:45 AM | AI-Driven Reliability: Towards "Trouble-Free" Cloud-Scale Systems | Suman Nath, Microsoft Research |
| 10:45 - 11:45 AM | ML and Generative AI for Data Systems | Tim Kraska, Massachusetts Institute of Technology |
| 11:45 - 1:00 PM | Lunch | - |
| 1:00 - 2:00 PM | Bridging ML and Formal Methods for Trustworthy Network Management | Maria Apostolaki, Princeton University |
| 2:00 - 3:00 PM | Synthetic Data Generation for Accelerating Networked Systems Innovation | Vyas Sekar, Carnegie Mellon University |
| 3:00 - 3:30 PM | Coffee Break | - |
| 3:30 - 4:30 PM | Accelerating Software Development: The LLM (R)evolution | Emery Berger, University of Massachusetts Amherst |
| 4:30 - 5:30 PM | From Compilers to Code Whisperers: Can Generative AI Solve the Optimization Puzzle? | Amir Yadanbakhsh, Google DeepMind |
| 5:30 - 6:30 PM | Poster Session | PhD Research School Attendees |
| 6:30 - 8:30 PM | Networking Dinner | - |
Day 2: May 21, 2025 | ||
| 8:30 - 9:30 AM | [Title to be announced] | Swarat Chaudhuri, University of Texas at Austin |
| 9:30 - 11:30 AM | Diffusion Models Tutorial | Sanjay Shakkottai, University of Texas at Austin |
| 11:30 - 12:30 PM | Early Experience Using ML in Linux and LAKE | Chris Rossbach, Co-Director of LDOS |
| 12:30 - 1:00 PM | Closing Remarks | Aditya Akella, Director of LDOS |
Registration
This event is designed for PhD students, postdoctoral researchers, and advanced students in machine learning and/or systems. The application for in-person attendance is now closed.
Due to the overwhelming interest in the event, we will offer a virtual attendance option. Please check back later for details.