Mike Seguin's work, "Deep Reinforcement Learning for Downlink Scheduling in 5G and Beyond Networks: A Review" has been accepted for presentation at IEEE PIMRC 2023. Congratulations, Mike!
Anjali Omer's work, "Performance Evaluation of 5G Delay-Sensitive Single-Carrier Multi-User Downlink Scheduling" has been accepted for presentation at IEEE PIMRC 2023. Congratulations, Anjali!
Mohammad Koosha's work, "Minimizing Estimation Error Variance using a Weighted Sum of Samples from the Soil Moisture Active Passive (SMAP) Satellite" has been accepted for oral presentation in the IGARSS 2023 program. Congratulations, Mohammad!
Mohammad Koosha's work, "Opportunistic temporal spectrum coexistence of passive radiometry and active wireless networks" was accepted for presentation at the 2022 IEEE Western New York Image and Signal Processing Workshop. Congratulations, Mohammad!
Our paper on "Hardware acceleration for post-decision state reinforcement learning in IoT systems" has been accepted for publication in IEEE Internet of Things.
The deadline for the 2nd international workshop on Machine Learning for Smart Wireless Networks (ML-SWiN), collocated with the IEEE DCOSS, has been extended to April 5, 2022. More info can be found at https://t.co/9emmx4iyla
It is my pleasure to invite you to contribute to the 4th IEEE WoWMoM Workshop on Wireless Networking, Planning, and Computing for UAV Swarms (SwarmNet 2022), collocated with IEEE WoWMoM. The deadline is on March 15. More info can be found at https://t.co/sYbTQxYlFN.
It is my pleasure to invite you to contribute to the 2nd international workshop on Machine-Learning for Smart Wireless Networks (ML-SWiN), collocated with the IEEE DCOSS. The deadline is on March 15. More info can be found at https://t.co/9emmx4iyla.
I am a finalist in the IEEE Connecting the Unconnected Challenge. Join me to hear the winners announced at the free virtual Connecting the Unconnected Summit! https://t.co/ZcvzETywko
Our paper on "Improving Data-driven Reinforcement Learning in Wireless IoT Systems using Domain Knowledge" has been accepted for publication in the Data Science and Artificial Intelligence for Communications Series of the IEEE Communications Magazine.
Jipeng Dai's work, “Multi-UAV Energy-Efficient Coverage Path Planning using Dynamic Programming and Set Partitioning” has been accepted for Oral Presentation in the 2021 STRATUS conference to be held virtually on May 17-19, 2021. Congratulations, Jipeng!
UB's Project OVERCOME grant from @US_Ignite, @NSF, and @SchmidtFutures is highlighted in a press release by Congressman Brian Higgins. Thank you, Congressman Higgins! https://t.co/mqiaSe7nsk
We are excited to take part in this important effort to reduce the digital divide in underserved communities. We are grateful to US Ignite, the National Science Foundation (NSF), and Schmidt Futures for giving us the opportunity to be a part of this remarkable collective effort.
Prof. Mastronarde is one of the recipients of the 2020 SEAS Senior Teacher of the Year Award recognizing his sustained record of impact on undergraduate and graduate instruction.
Nikhilesh, Sen, and Someshwar have their conference paper, "Deep reinforcement learning for delay-sensitive LTE downlink scheduling" accepted in IEEE PIMRC. Congratulations!
Please consider submitting your latest relevant work to our workshop: SwarmNet 2020, the 2nd IEEE WoWMoM Workshop on Wireless Networking, Planning, and Computing for UAV Swarms, Cork, Ireland, June 15, 2020. We look forward to your submissions! https://t.co/ahbRA4unQ6
Nikhilesh Sharma's journal article, "Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors" is accepted for publication in IEEE Trans. on Signal Processing. Congratulations, Nikhilesh!