Dejan Kostic

Dejan Kostic is a Chair Professor of Internetworking at KTH Royal Institute of Technology, leading the Networked Systems Laboratory. He is affiliated with RISE Research Institutes of Sweden and the Wallenberg AI, Autonomous Systems and Software Program (WASP). His research focuses on distributed systems, computer networks, operating systems, and machine learning applications in networking.

Education:

• Ph.D. in Computer Science, Duke University
• M.S. in Computer Science, University of Texas at Dallas
• B.S. in Computer Engineering, University of Belgrade

Research Interests: His work spans distributed systems, high-performance networking, smartNIC offload, AI-driven systems, and network function virtualization (NFV). Recent projects include energy-efficient AI inferencing (Wallenberg Scholar Project) and scalable federated learning for healthcare applications. Key contributions include the PacketMill framework, FAJITA stateful processing, and the LineFS distributed file system.

Publications & Awards:

• ERC Starting (2010) and Consolidator (2018) Awards
• Wallenberg Scholar (2024)
• Best Paper at SOSP 2021 and Community Award at NSDI 2022

Advising & Grants: Supervised over 15 doctoral students, including notable alumni like Hamid Ghasemirahni and Alireza Farshin. Leads projects funded by ERC, WASP, and Swedish Research Council (VR). Active in grant review panels for ERC and Swedish Foundations.

Labs & Teams: Heads the Network Systems Laboratory (NSLab) at KTH, collaborating with Ericsson and RISE on industrial projects. Key initiatives include the Networked Systems for Machine Learning course and the Connected Intelligence unit at RISE.