Summary
Mi 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 California
Minor, Computer Science, Minor, Computer Science at Peking University