Honors and Awards: NSF CAREER Award - 2010
Research Expertise: Wireless Networks
Alejandro believes that understanding networks, beyond wireless and communications, is one of the greatest intellectual challenges of the 21st century. Accordingly, his research is aimed at developing a theory to model and develop wireless networks. While communications are understood on a fundamental level, networks are not. Developing theoretical foundations of wireless networks will uncover fundamental properties to guide their design. In the end, the goal will be wireless networks that provide the same seamless connectivity we experience in our homes and offices.
- Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers, Gama, F. | Ribeiro, A., IEEE Transactions on Signal Processing, 2019
- Learning Optimal Resource Allocations in Wireless Systems, Eisen, M. | Zhang, C. | Chamon, L.F.O. | Lee, D.D. | Ribeiro, A., IEEE Transactions on Signal Processing, 2019
- Connecting the Dots: Identifying Network Structure via Graph Signal Processing, Mateos, G. | Segarra, S. | Marques, A.G. | Ribeiro, A., IEEE Signal Processing Magazine, 2019
- Learning in wireless control systems over nonstationary channels, Eisen, M. | Gatsis, K. | Pappas, G.J. | Ribeiro, A., IEEE Transactions on Signal Processing, 2019
- Predicting power outages using graph neural networks, Owerko, D. | Gama, F. | Ribeiro, A., 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings, 2019