The Ubiquitous Networking Laboratory (UbiNET Lab) at UAlbany conducts research in next generation mobile wireless networks, focusing on autonomous spectrum measurement and dynamic access, architectures and resource allocation in IoT-and-Traditional (IoT&T) networks, measurement infrastructures and networked system design, integration and in-situ deployment. The lab has extensive background in field-deployed research in rural Africa and the U.S. Check out our Research page for ongoing projects.
We are hiring!!! The UbiNET Lab is looking for self-motivated PhD, MS and undergraduate students to join the lab. Go to our Positions page for more information on how to apply.
Our Spectrum Innovation Initiative proposal to form SpectrumX – An NSF Spectrum Innovation Center was funded by the National Science Foundation. Proud to be one of the founding members of the center and look forward to interdisciplinary work in the next 5 years to develop new and efficient ways for radio spectrum access with a particular outlook towards “social good” applications for science and defence. You can learn more about the center here.
Mariya will serve as the Track Chair for Computing Systems and IoT at ACM COMPASS'21. Please, consider submitting papers to the conference.
The second workshop in the National Dynamic Radio Zone series will be held on November 16-17, 2021. Look forward to co-orgaizing this with colleagues from the remote sensing, radio astronomy and active spectrum measurements communities. More information on the workshop website.
Two NRDZ Lean Coffee Tables coming up on August 31st and Septermber 13, 2021. The events will facilitate blue sky discussion on grand challenges and desired capabilities of NRDZs. Follow the executive summaries on our website for outcomes of the discussions.
E!App accepted to ACM COMPASS. Congratulations, Karyn!! In collaboration with Habib Affinnih and Petko Bogadanov from Computer Science and Qianli Yuan, Ramon Gil-Garcia and Mila Gasco from the Center for Technology in Government (link to paper).
Two papers accepted at IEEE SECON'21. “MODELESS” with Wei and Petko (link to paper) and “CORE” with Alex, Karyn, Lin and Petko (link to paper). MODELESS tackles modulation recognition with limited supervision. CORE provides connectivity optimization via reinforcement learning in WANETs.
Undergraduate student Habib Affinnih received the 2021 Situation Prize for Research – Community, Cause and Advocacy Award for his work on “Improving Rural Emergency Preparedness and Response”. You can learn about his work here.