Vamsi Addanki is a tenure-track Assistant Professor at Purdue CS who combines nine years of research and engineering experience to advance next-generation datacenter architectures and AI-driven networking. His work sits at the intersection of networking, theory, and AI, with a particular focus on reconfigurable optical interconnects and robust, adaptive network protocols. Trained across top European institutions—Technische Universität Berlin (Dr.-Ing.), Sorbonne Université, ETH Zürich, and Télécom Paris—he brings both theoretical rigor and hands-on systems experience. Vamsi’s career blends doctoral-level research, postdoctoral work, and industry research engineering, enabling pragmatic yet forward-looking solutions for modern networked systems. He is motivated by building intelligent networks that anticipate changing workloads and failures, translating deep technical insights into deployable datacenter innovations.
Dr.-Ing-, Computer Science, Distinction (summa cum laude), Dr.-Ing-, Computer Science, Distinction (summa cum laude) at Technische Universität Berlin
Bachelor of Engineering - BE, Electronics and Instrumentation Engineering, Bachelor of Engineering - BE, Electronics and Instrumentation Engineering at Birla Institute of Technology and Science, Pilani - Goa Campus
NS-3 implementation of deterministic networks/time sensitive networks
Contributions:11 commits in 17 days
deterministicsensitivens-3time-sensitive
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Vamsi Addanki - Assistant Professor at Purdue University