Suleman is a Research Engineer working at the intersection of product engineering and security research. His work and academic experience has span the following areas of interest: Security and Privacy, Internet Measurement, and Applied Machine Learning — particularly applications in Cybersecurity, and Distributed Systems.
He was previously enrolled in a fully-funded Masters program in Computer Science at University of Wisconsin-Madison. He served as a Graduate Assistant, working both as a Teaching and a Research Assistant, for the Computer Science department. His thesis focus was on detecting and analyzing real-world authentication attacks, and engineering measurement systems.
Internet Measurement, Network Privacy, Distributed Systems
- Connection coalescing with ORIGIN Frames: fewer DNS queries, fewer connections
- Fusion de connexions avec les extensions ORIGIN Frame : moins de requêtes DNS, moins de connexions
- Zusammenlegen von Verbindungen mit ORIGIN Frames – weniger DNS-Anfragen, weniger Verbindungen
- Automatic (secure) transmission: taking the pain out of origin connection security
- Coalescing Connections to Improve Network Privacy and Performance
- Introducing SSL/TLS Recommender