The field of network research is moving towards improving performance and reliability through innovative solutions. Recent developments focus on enhancing traffic engineering, congestion control, and path selection strategies. Notably, researchers are exploring the potential of multipath transport protocols and path-aware networks to optimize network stability and efficiency. Furthermore, there is a growing interest in designing practical and deployable systems that can leverage radio KPI measurements and machine learning techniques to improve network performance. The development of new analytical frameworks and simulation tools is also facilitating the evaluation and optimization of network protocols and architectures. Overall, the field is advancing towards more robust, efficient, and adaptive network systems. Noteworthy papers include: ReWeave, which presents a scalable and efficient link-level traffic engineering scheme, and BISCAY, which proposes a practical radio KPI-driven congestion control system for mobile networks.