Steven Latré

Steven Latré is a Professor in the Department of Computer Science at the University of Antwerp, specializing in network management, software-defined networking, and network function virtualization. His research spans wireless communications, Internet of Things, machine learning for networking, and quality of experience optimization. With over 246 publications from 2007 to 2025, he has established himself as a leading researcher in network intelligence and management.

His research focuses on developing intelligent approaches for network management, with particular emphasis on applying machine learning techniques to solve complex networking challenges. His work covers adaptive video streaming, resource allocation in heterogeneous networks, wireless sensor networks, and vehicular communications. His research often bridges theoretical advances with practical implementations, as evidenced by numerous collaborations with industry partners and participation in European research projects.

His recent publications demonstrate a growing interest in applying AI and machine learning to networking problems, with significant contributions in network function virtualization, software-defined radio access networks, and intelligent resource allocation. His work shows a clear trajectory from traditional network management toward more intelligent, self-optimizing network systems that leverage the latest advances in artificial intelligence.

His scientific contributions have been recognized through numerous publications in top-tier networking venues including IEEE Communications Magazine, IEEE Transactions on Network and Service Management, and IEEE Internet of Things Journal. His research has consistently addressed real-world networking challenges while pushing theoretical boundaries in network management and orchestration.

Professor Latré has actively supervised numerous PhD students and collaborated extensively with researchers worldwide, particularly with colleagues at the University of Antwerp including Jeroen Famaey, Filip De Turck, and Tom De Schepper. His collaborative network spans multiple continents, reflecting the international impact of his research.