Keynote Talk #1

Title: TBD

Date: 9:00-10:00, Sep. 14, 2026.

Abstract: TBD

Keynote Talk #2

Title: TBD

Date: 9:00-10:00, Sep. 15, 2026.

Abstract: TBD

Biography: Paul Syverson is an American computer scientist best known for inventing onion routing, a feature of the Tor anonymity network. He works at the U.S. Naval Research Laboratory, where his research focuses on traffic-secure communications, privacy, anonymity, and security. In 2012, Foreign Policy magazine named Syverson, together with Tor’s co-creators Roger Dingledine and Nick Mathewson, among its Top 100 Global Thinkers “for making the web safe for whistleblowers”. In 2014, he was named a Fellow of the Association for Computing Machinery (ACM). Syverson received his Bachelor’s degree in Philosophy from Cornell University in 1981. He earned Master’s degrees in Philosophy and Mathematics from Indiana University Bloomington in 1988, and completed his PhD in Logic at Indiana University Bloomington in 1993.  

Find his publications and citation record on Google Scholar:  Google Scholar Profile.

Keynote Talk #3

Title: Secure and Predictable High-Performance Connectivity for AI Training and Inference

Date: 9:00-10:00, Sep. 16, 2026.

Abstract: SCION, a next-generation Internet architecture, already introduces capabilities that are difficult to achieve on today's Internet: cryptographically secured routing through AS certificates and full path validation, resilience against routing convergence attacks, guaranteed bandwidth through Hummingbird reservations, and path-aware networking that offers in many cases over a hundred of end-to-end path choices between communicating endpoints. 

The next evolutionary step is to move from path awareness to path intelligence. By continuously evaluating available paths using metrics such as latency, jitter, packet loss, throughput, and reliability, we enhance SCION to predict path quality and enable the application to automatically select the path that best matches an application's requirements. For instance, real-time applications such as voice and video prioritize low latency and jitter, while bulk data transfers and AI workloads demand maximum throughput and predictable bandwidth. SCION enables application-specific routing that optimizes performance, reliability, or security.

These capabilities are particularly relevant for modern AI infrastructures. Large-scale AI training and distributed inference depend on high-performance, predictable network connectivity across data centers. By combining intelligent path selection with Hummingbird's bandwidth guarantees, SCION provides the foundation for a new generation of AI-ready networks that deliver secure, resilient, and application-aware connectivity.

Biography: Adrian Perrig (born 1972) is a Swiss computer science researcher and professor at ETH Zurich, leading the Network Security research group. His research focuses on networking and systems security, and specifically on the design of a secure next-generation internet architecture. He received his BSc in Computer Engineering from EPFL in 1997, and his MS and PhD from Carnegie Mellon University in 1998 and 2001, respectively. From 2002 to 2012, he was a Professor of Electrical and Computer Engineering, Engineering and Public Policy, and Computer Science (courtesy) at Carnegie Mellon University, becoming a Full Professor in 2009. From 2007 to 2012, he served as the technical director for Carnegie Mellon's Cybersecurity Laboratory (CyLab). Since 2013, he has been a Professor at ETH Zurich, leading the Network Security Group, whose research revolves around building secure and robust network systems, with a particular focus on the design, development, and deployment of the SCION Internet architecture. During his career, he has received numerous awards and distinctions for his contributions to computer and network security, including being named a Fellow of the Association for Computing Machinery (ACM) in 2017 and receiving four IEEE Symposium on Security and Privacy Test of Time Awards.

Find his publications and citation record on Google Scholar:  Google Scholar Profile.