Andres Kwasinski
Professor and Director of the Ph.D. Program in Electrical and Computer Engineering
Rochester Institute of Technology
13 Jan 2026 – 14 Jan 2026
CNI recently hosted Professor Andres Kwasinski, who is a Professor and Director of the Ph.D. program in Electrical and Computer Engineering at the Rochester Institute of Technology, Rochester, NY, USA. During his visit, he engaged with the CNI community through a seminar talk.
Talk
The Synergy Between Quality of Experience and Deep Reinforcement Learning for Uncoordinated Multi-Agent Resource Allocation in Cognitive Radio Network
How quality-of-experience–driven metrics can be combined with deep reinforcement learning to enable efficient, adaptive resource allocation in uncoordinated multi-agent cognitive radio networks.
Event pageBiography
Andres Kwasinski is a Professor and Director of the Ph.D. program in Electrical and Computer Engineering at the Rochester Institute of Technology, Rochester, NY, USA. He has co-authored more than 110 peer-reviewed publications and four books published by Cambridge University Press and Wiley. He currently serves on the Senior Editorial Board of the IEEE Signal Processing Magazine, where he has also been Area Editor and Associate Editor. He has previously served as an Editor for IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters.
He received the Diploma in Electrical Engineering from the Buenos Aires Institute of Technology, Argentina, and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland, College Park, USA. Dr. Kwasinski is a Senior Member of the IEEE.
Research interests
- Cognitive radios and wireless networks
- Cross-layer techniques in wireless communications
- Smart infrastructures and networking
About the visit
The visit was part of the CNI seminar series.
Engagements
During their time at CNI, Professor Andres interacted with faculty through research discussion and with students through a seminar talk.
We were glad to host Professor Andres Kwasinski at CNI and appreciate their thoughtful perspectives and contributions to ongoing conversations around cognitive radio networks, multi-agent systems, and learning-driven resource allocation. Interactions like these continue to strengthen CNI’s role as a hub for networked intelligence research.