Mi Zhang
Associate Professor
Columbus, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolMi Zhang is an Associate Professor and director of the AIoT and Machine Learning Systems Lab at The Ohio State University, with 12 years of academic and research experience spanning systems and AI. Her work focuses on Edge AI for mobile/AR/VR/IoT, distributed cloud-edge systems, LLMs and generative AI, federated learning, AutoML, and human-centered AI, bridging practical system design with machine learning innovations. She has progressed from PhD research at USC through postdoctoral work at Cornell to faculty roles at Michigan State and OSU, giving her deep experience in translating research into real-world systems. Mi combines systems-level optimization and ML algorithmic insight to tackle latency, privacy, and deployment challenges for resource-constrained devices. She runs a lab that targets both foundational research and deployable tools for the edge-to-cloud stack, and she often blends systems thinking with human-centered perspectives. Based in Columbus, Ohio, she brings a rare cross-disciplinary fluency across electrical engineering, computer science, and biomedical applications.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at University of Southern CaliforniaMinor, Computer Science, Minor, Computer Science at Peking University
Stackoverflow
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Github Skills (22)
survey10
model-compression9
large-language-models9
generative-ai9
federated-learning9
svd9
shen7
iot6
data-augmentation5
artificial-intelligence4
diffusion-models4
llm4
emotion-detection4
deep-learning3
machine-learning2
Programming languages (2)
Github contributions (5)
zhangmifigo/VoiceDetection
Mar 2014 - Aug 2014
Contributions:18 commits in 4 months
AIoT-MLSys-Lab/FedRolex
May 2022 - Nov 2022
[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang
Contributions:22 commits in 6 months
federated-learning
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