Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication. - Hammad Zafar; Zoran Utkovski; Martin Kasparick 001; Slawomir Stanczak (WSA, 2021)

NFV-MANO Support for Orchestration and Management of the Virtualized RAN. - Kostas Katsalis; Joan Triay; Hammad Zafar; Zarrar Yousaf; Janusz Pieczerak; Lingli Deng; Bruno Chatras (CSCN, 2023)

A Deep Reinforcement Learning Approach for Load Balancing in Open Radio Access Networks. - Hammad Zafar; Martin Kasparick 001; Setareh Maghsudi; Slawomir Stanczak (GLOBECOM, 2023)

Load Balancing in O-RAN. - Hammad Zafar; Ehsan Tohidi; Martin Kasparick 001; Slawomir Stanczak (WCNC, 2024)

An Open Source Digital Twin Framework for O-RAN. - Hammad Zafar; Ehsan Tohidi; Martin Kasparick 001; Slawomir Stanczak (EuCNC/6G Summit, 2025)

Conflict Mitigation Approach for O-RAN xApps. - Hammad Zafar; Ehsan Tohidi; Martin Kasparick 001; Slawomir Stanczak (WCNC, 2025)

Hemodynamic microenvironment of coronary stent strut malapposition. - Wei Wu 004; Sartaj Tanweer; Ruben K. A. Tapia-Orihuela; Parth Munjal; Yash Vardhan Trivedi; Shijia Zhao; Hammad Zafar; Haritha Darapaneni; Vineeth S. Dasari; Changkye Lee; Rakshita Ramesh Bhat; Ghassan S. Kassab; et al. (Comput. Biol. Medicine, 2025)

Data Usage Control for Privacy-Enhanced Network Analytics in Private 5G Networks. - Hammad Zafar; Umberto Fattore; Flavio Cirillo; Carlos J. Bernardos (IEEE Open J. Commun. Soc., 2025)