About

J Dr. Feng Yan is the director of the Intelligent Data and Systems Lab (IDS Lab) and Associate Professor of Computer Science at University of Houston (UH). He is Presidential Frontier Faculty (PFF) and is also affiliated with Electrical and Computer Engineering at UH. Dr. Yan’s research bridges the fields of big data, AI, and systems. The focus of his research is on developing methodologies and building systems that are automated, high-performing, efficient, robust, and user-centric. Some of his recent research topics include Large Language Model (LLM), large-scale ML, Machine Learning as a Service (MLaaS), federated learning, AutoML, serverless, and broad topics in cloud and HPC. Dr. Yan is also dedicated to interdisciplinary research and has established fruitful collaborations with domain experts in areas such as health, physics, material science, civil engineering, and innovated big data and AI-driven approaches for these domains. Dr. Yan and his team are actively publishing at the most prestigious venues in ML/AI area (such as NIPS/NeurIPS, ICLR, AAAI, KDD, WWW, etc.) and computer system area (such as SOSP, SC, HPDC, VLDB, USENIX ATC, EuroSys, FAST, HPCA, etc.). He is well ranked in Computer Science Rankings (CSRankings, https://csrankings.org/#/index?all&us). Almost all students in Dr. Yan’s lab get research internships and full-time job opportunities in top industry research labs (such as Microsoft Research, IBM Research, Bell Labs, Snowflake Research, Baidu Research USA), national labs (such as Argonne National Laboratory and Oak Ridge National Laboratory), and leading industry companies (such as Meta, Amazon).

Research Performance Summary

Last 10 Years Publication Activity

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