Wessam Ajib

About

Wessam Ajib is a Professor at Université du Québec à Montréal. His research focuses on advanced topics such as computation offloading, resource allocation, and trajectory control in UAV-based wireless networks, as well as enhancing quality of service in AAV-assisted networks. He has contributed significantly to fields including telesurgery systems, intelligent surfaces in communication, and resource allocation in fog computing. His recent work also involves the application of deep reinforcement learning in wireless networks.