About Me
I am an assistant professor in the Mathematics & Computer Science Department at Fisk University. I obtained my Ph.D. in Electrical and Computer Engineering from the University of Texas at San Antonio in July 2025, and was fortunate to be supervised by Dr. Yuanxiong Guo and Dr. Yanmin Gong. I also hold an M.S. in Information Technology and Management from the University of Texas at Dallas and a B.S. in Navigation Technology and Logistics Management from Wuhan University of Technology.
Research Interests
“Research is seeing what everybody else has seen and thinking what nobody else has thought.”
– Albert Szent-Gyorgyi
My current research focuses on Large Language Model (LLM), Quantum Computing and Communication, Federated Learning (FL), optimization, and their applications to IoT devices and space-air-ground integrated networks (SAGINs).
Recent News
🗓️ 2024-2025 Highlights
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[2025-08] I joined the Mathematics and Computer Science Department at Fisk University as a tenure-track assistant professor!
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[2025-07] I defended my Ph.D. dissertation!
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[2025-07] Our paper "Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning" was accepted by IEEE Internet of Things Journal (IoT-J).
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[2025-05] Our paper "Efficient Entanglement Routing for Satellite-Aerial-Terrestrial Quantum Networks" was accepted by International Conference on Computer Communications and Networks (ICCCN).
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[2024-12] Our paper "Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks" was accepted by IEEE Transactions on Mobile Computing (TMC).
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[2024-07] Our paper "Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks" was accepted by IEEE Transactions on Mobile Computing (TMC).
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[2024-07] Our paper "Quantum-Assisted Joint Caching and Power Allocation for Integrated Satellite-Terrestrial Networks" was accepted by IEEE Transactions on Network Science and Engineering (TNSE).
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[2024-06] Our paper "Semi-Supervised Federated Learning for Accessing Building Damage from Satellite Imagery" was accepted by IEEE International Conference on Communications (ICC).
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[2024-03] Our paper "Energy-Efficient Resource Management for Multi-UAV-Enabled Mobile Edge Computing" was accepted by IEEE Transactions on Vehicular Technology (TVT).