Publications:

  1. L. Zhang, B. Jabbari, “A Review of Energy Efficient UAV-aided MEC,” submitted to IEEE Global Communications Conference (GLOBECOM), May 2023.
  2. L. Zhang, B. Jabbari, “Optimizing Caching Placement of Edge Computing-based IoTs using Deep Reinforcement Learning,” submitted to IEEE Global Communications Conference (GLOBECOM), May 2023.
  3. Hamed Poursiami, B. Jabbari, “Energy Optimization of Joint IoT and Hub using Multi-Task Convolutional Neural Networks,” submitted to IEEE Global Communications Conference (GLOBECOM), May 2023.
  4. Z. Zhu, L. Zhang, B. Jabbari, “On the Deployment and Operation of Correlated Data-Intensive vNF-SCs in Inter-DC EONs,” 32nd Wireless and Optical Communications Conference (WOCC), Newark, NJ, USA, pp. 1-5, May 2023.
  5. L. Zhang, B. Jabbari and N. Ansari, “Deep Reinforcement Learning Driven UAV-assisted Edge Computing,” IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25449-25459, Dec. 2022, doi: 10.1109/JIOT.2022.3196842.
  6. L. Zhang and B. Jabbari, “Machine Learning Driven Latency Optimization for Application-aware Edge Computing-based IoTs,” IEEE International Conference on Communications (ICC), pp. 183-188, May 2022.
  7. L. Zhang, B. Jabbari and N. Ansari, “Machine Learning Driven UAV-assisted Edge Computing,” IEEE Wireless Communications and Networking Conference (WCNC), pp. 2220-2225, Apr. 2022.
  8. G. Trivedi and B. Jabbari, “On Wireless Link Connectivity for Resilient Multi-Hop Networks,” IEEE Military Communications Conference (MILCOM), pp. 285-290, Nov. - Dec. 2021.
  9. B. Jabbari, J. Sobieski and C. Popoviciu, “Programmable Cyber-Infrastructure Architectures for Science Applications,” IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), pp. 84-88, Dec. 2021.