Resource Management Using Deep Reinforcement Learning for 5G and Beyond Wireless Networks:
I am pleased to share that I recently presented a tutorial at the IEEE Wireless Communications and Networking Conference (WCNC) 2023, held in Glasgow, Scotland. The conference is a renowned annual event in the wireless research field, gathering together researchers, academics, industry professionals, and government officials.
My tutorial, titled “Resource Management Using Deep Reinforcement Learning for 5G and Beyond Wireless Networks,” focused on the challenges of designing and deploying large-scale and heterogeneous networks. I collaborated with my colleagues from Hamad Bin Khalifa University (HBKU) to deliver this tutorial.
During the presentation, we discussed the potential of deep reinforcement learning (DRL) for radio resource management (RRM) in future wireless HetNets. We explored the limitations of conventional RRM methods, highlighted the most widely used DRL algorithms, and provided examples of their effectiveness. Additionally, we delved into open challenges and future research directions in the context of DRL-based RRM.
As a researcher who is passionate about wireless communications, I found it an honor to share my knowledge with such a distinguished audience. It was also a valuable opportunity to learn from experts in the field and engage in discussions about cutting-edge research in wireless networking.
I am excited to share with you all that I recently had the opportunity to prepare and present a workshop on the impact of Artificial Intelligence on the Media alongside my colleague Dr. Ahmed Elwhishi.
Throughout four sessions, we delved into the potential applications of AI in the media landscape and examined the challenges and risks associated with its integration.
In the first session, we provided an overview of GPT-3, ChatGPT, Dall-E, and Stable Diffusion and discussed their impact on the media landscape.
The second session focused on using AI in social media and its effects on traditional media, including algorithms for content personalization and advertising optimization.
The third session was dedicated to cybersecurity threats and risks associated with integrating AI into the media industry. We examined the types of cyberattacks targeting AI systems, including models, data, and infrastructure, and discussed their impact on public confidence in media.
Finally, in the fourth session, we explored the dangers of AI in the media, including the falsification of news and the use of deep fakes. Participants had the opportunity to engage in practical training and gain a better understanding of the risks posed by AI-generated fake content.
Overall, the workshop was a great success, and we are grateful to have had the opportunity to share our insights with participants from various backgrounds and expertise. We look forward to continuing our exploration of AI in the media and collaborating with institutions working in this exciting and rapidly-evolving field.
After three brilliant years with Dr. Mohamed Abdallah at Hamad Bin Khalifa University, I am now moving to another stage in my career as an Assistant Professor of Data Science and AI at the University of Doha for Science and Technology. I am very excited about this role since I will be one of the early contributors to this newly-founded/transformed university.