Ehsan Ghoreishi
I am a Ph.D. student in the Bradley Department of Electrical and Computer Engineering at Virginia Tech under the supervision of Professor Tom Hou. My research lies at the intersection of wireless communications, optimization, and machine learning, with a focus on the design of intelligent resource allocation algorithms for next-generation wireless networks.
Prior to joining Virginia Tech, I earned my B.Sc. in Electrical and Computer Engineering from Isfahan University of Technology (IUT), Isfahan, Iran, in 2021.
My current work explores deep reinforcement learning (DRL) frameworks for URLLC/eMBB coexistence in 5G and beyond, real-time GPU-based system implementations, and scalable scheduling solutions within the Open RAN (O-RAN) architecture.
news
| Dec 09, 2025 | My paper, titled “RaP: Learning-based Joint Reservation and Puncturing for Efficient URLLC/eMBB Multiplexing” has been accepted for publication at IEEE INFOCOM 2026. |
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| Jul 30, 2025 | My paper, titled “Cyrus+: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN,” has been published at IEEE Transactions on Machine Learning in Communications and Networking (TMLCN). [Paper] |
| Jul 29, 2024 | My first paper, titled “Cyrus: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN,” has been published as an invited paper at the IEEE ICCCN conference. [Paper] |
selected publications
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Cyrus: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RANIn 2024 33rd International Conference on Computer Communications and Networks (ICCCN), 9 pages, July 29–31, Hawaii, USA, 2024 -
Cyrus+: A DRL-Based Puncturing Solution to URLLC/eMBB Multiplexing in O-RANIEEE Transactions on Machine Learning in Communications and Networking, 2025 -
Rap: Learning-based Joint Reservation and Puncturing for Efficient URLLC/eMBB MultiplexingIn IEEE Conference on Computer Communications (INFOCOM), 10 pages, May 18–21, 2026, Tokyo, Japan, 2026