About Me
I am Adib Rezaei Shahmirzadi, currently a PhD student in Computer Science at Virginia Tech, where I am fortunate to be advised by Dr. Dimitrios Nikolopoulos. My research interests lie in the intersection of high-performance computing and machine learning. I am particularly focused on high-performance LLM inference on cloud datacenters. I'm open to collaborate on any good ideas, feel free to reach out via email!
News
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[03/2025] 🎉 The paper Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching has been published in IEEE Transactions on Vehicular Technology!.
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[08/2024] 🎉 Started my PhD in Computer Science at Virginia Tech under supervision of Dr. Dimitrios Nikolopoulos.
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[08/2023] Joined the High-Performance Network Laboratory at the University of Tehran under supervision of Prof. Ahmad Khonsari. I am working on my bachelor's thesis which is focused on improving reliability and performance in edge networks. This is achieved through layer-aware containerized service orchestration, with the help of online learning algorithms, particularly reinforcement learning.
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[06/2023] Joined Prof. Ping Wang's research team at York University . I am currently engaged in advancing deep reinforcement learning-based caching strategies tailored for IoT networks that handle transient data at edge nodes.
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[08/2019] Ranked in the top 0.2% among nearly 160,000 students in the Iranian University Entrance Exam (Konkour).