LDOS PhD Research School

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

Speakers

The event will feature speakers from a broad range of learned systems topics, including:

• Aditya Akella, UT Austin - Introduction to the Learning Directed Operating System Expedition
• Maria Apostolaki, Princeton University - Bridging ML and Formal Methods for Trustworthy Network Management
• Emery Berger, UMass - Accelerating software development: The LLM (R)evolution
• Suman Nath, Microsoft - AI-Driven Reliability: Towards "Trouble-Free" Cloud-Scale Systems
• Christopher J. Rossbach, UT Austin - Early experience using ML in Linux and LAKE
• Sanjay Shakkottai, UT Austin - Tutorial on Diffusion Models
• Amir Yazdanbaksh, Google - From Compilers to Code Whisperers: Can Generative AI Solve the Optimization Puzzle?

Additional speakers and topics will be posted once available. 

Agenda

The tentative agenda is as follows: 

Day 1 - May 20, 2025: 

• 8:30 - 9:30: Check-In and Breakfast
• 9:30 - 10:30: Lecture/Tutorial Block
• 10:30 - 11:00: Coffee Break
• 11:00 - 12:00: Lecture/Tutorial Block
• 12:00 - 1:00: Lunch Break (lunch provided)
• 1:00 - 2:00:Lecture/Tutorial Block
• 2:00 - 3:00: Lecture/Tutorial Block
• 3:00 - 3:30: Coffee Break
• 3:30 - 4:30: Lecture/Tutorial Block
• 4:30 - 6:30 Poster Sessions and Networking Event

Day 2 - May 21, 2025:

• 8:30 - 9:30: Lecture/Tutorial Block
• 9:30 - 10:30: Lecture/Tutorial Block
• 10:30 - 11:00: Coffee Break
• 11:00 - 12:00: Lecture/Tutorial Block
• 12:00 - 1:00: Closing Remarks (lunch provided)

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.