I am an Assistant Professor in the School of Electrical and Computer Engineering at Cornell University and a member of the Computer Systems Laboratory.
I am broadly interested in computer systems and networks. Including programmable network devices, interconnect protocols, and software system stacks for achieve high-performance communication in data centers.
I was a recipient of 2025 Google ML and Systems Junior Faculty Award, 2024 MIT EECS Rising Star, 2023 Google Ph.D. Fellowship and 2021 Meta Ph.D. Fellowship.
Prior to joining Cornell, I earned my Ph.D. in Computer Science from UT Austin in 2025. I was part of the University of Texas Networked Systems (UTNS) Lab, adivised by Aditya Akella.
📌I am actively looking for self-motivated Ph.D. students in CS or ECE who are interested in networking, systems, accelerators, or hardware compilers. If you are interested in any of these areas, please reach out via email!
News
Teaching
Current Research Directions
Next-generation interconnects (e.g., CXL, chip-to-chip links).
Programming frameworks and compilers for in-network computing (NSDI’25, MICRO’23).
Architecture and applications of programmable network devices (NSDI’23, OSDI’20, SIGMETRICS’23).
System supports for robust, secure, and manageable ML cloud infrastructure.
Publications
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Portable and High-Performance SmartNIC Programs with Alkali Link PDF Artifact Slides
*, Zhiyuan Guo*, Mihir Shah, Tao Ji, Yiying Zhang, Daehyeok Kim, Aditya Akella
The 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI'25) -
Balancing SDN Control Plane Availability and Traffic Engineering Efficiency in Data Centers Link PDF
Brian Chang, Keqiang He, Shawn Chen, , Mingyang Zhang, Wenfei Wu, Aditya Akella
32nd IEEE International Conference on Network Protocols (ICNP'24) -
Ringleader: Efficiently Offloading Intra-Server Orchestration to NICs Link PDF Artifact
, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent Stephens, Hassan Wassel, Aditya Akella
20th USENIX Symposium on Networked Systems Design and Implementation (NSDI'23) -
Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs Link PDF
, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella
ACM SIGMETRICS 2023 (SIGMETRICS'23) -
LogNIC: A High-Level Performance Model for SmartNICs Link PDF
Zerui Guo, , Yuebin Bai, Daehyeok Kim, Michael Swift, Aditya Akella, Ming Liu
IEEE/ACM International Symposium on Microarchitecture (MICRO'23) -
PANIC: A High-Performance Programmable NIC for Multi-tenant Networks Link PDF Artifact
, Kiran Patel, Brent Stephens, Anirudh Sivaraman, Aditya Akella
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI'20) -
DLBooster: Boosting End-to-End Deep Learning Workflow with Offloading Data Preprocessing Pipelines Link PDF
Yang Cheng, Dan Li, Zhiyuan Guo, BinYao Jiang, , Xi Fan, Jinkun Geng, Xinyi Yu, Wei Bai, Lei Qu, Ran Shu, Peng Cheng, Yongqiang Xiong, Jianping Wu
48th International Conference on Parallel Processing (ICPP 2019) -
Bridging the Gap of Lane Detection Performance Between Different Datasets: Unified Viewpoint Transformation Link PDF
Tuopu Wen, Diange Yang, Kun Jiang, Chunlei Yu, , Benny Wijaya, Xinyu Jiao
IEEE Transactions on Intelligent Transportation Systems
Awards
Work Experience
