IDEAS Lab

PI: Qi Zhu

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ACL 2025

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Paper “Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs” is accepted by the 63rd Annual Meeting of the Association for Computational Linguistics (ACL) main conference.

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Aria Ruan

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Test Hardware Controls Engineer at Tesla

Chenxi Liu

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PhD student at UMD

Devashri Naik

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PhD Student at University of Illinois at Chicago

Frank Yang

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Software Engineer at Scale.Ai

Jinjin Cai

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PhD Student at Purdue University

Justin Liu

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University of Southern California

Lixu Wang

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Research Fellow at Nanyang Technological University (PhD 2024)

Qi Zhu

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Dr. Qi Zhu is a Full Professor in the Department of Electrical and Computer Engineering at Northwestern University. He earned his Ph.D. in EECS from the University of California, Berkeley in 2008 and a B.E. in CS from Tsinghua University in 2003. His recent research focuses on building safe, secure, and trustworthy embodied AI systems, with efforts in formal safety verification and robustness certification, safety-assured learning and system design, safety and security analysis for foundation model-driven embodied agents, continual learning, federated learning, and multimodal time-series learning. His earlier work centers on design automation for cyber-physical systems (CPS), cyber-physical security, energy-efficient CPS, and system-on-chip design. Dr. Zhu has published over 170 papers in major conferences and journals, and earned best paper awards at leading venues, including DAC (2006, 2007), ICCPS (2013), ACM TODAES (2016), and DATE (2022). He received the NSF CAREER Award, the IEEE TCCPS Early-Career Award, the Humboldt Research Fellowship for Experienced Researchers, and was selected to attend the National Academy of Engineering’s US Frontiers of Engineering Symposium. Dr. Zhu currently serves as the VP of Publicity for the IEEE Council on Electronic Design Automation (CEDA), Conference Chair for the IEEE Technical Committee on CPS (TCCPS), Founding Co-Chair for the IEEE Technical Committee on IoT in Intelligent Transportation Systems, and a member of the National Academies’ Standing Committee on Personal Protective Equipment for Workplace Safety and Health. He is an Associate Editor for IEEE TCAD, IEEE TCASAI, ACM TCPS, and ACM TODAES, and served as a Guest Editor for the Proceedings of the IEEE, ACM TCPS, IEEE T-ASE, IEEE IoT Journal, Elsevier JSA, and Elsevier VLSI Integration. He also helped organize numerous conferences in various roles in the areas of design automation, embedded, real-time, and cyber-physical systems, formal methods, and machine learning.

Ruiqi Xu

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PhD student at UChicago

Ruochen Jiao

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Applied Scientist at Amazon (PhD 2024)

Samuel Hodge

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Motor Engineer at Milwaukee Tool

Shichao Xu

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Software Engineer at Google (PhD 2022)

Shuyue Lan

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Software Engineer at NVIDIA (PhD 2021)

Simon Zhan

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Education

2023 - Present: Northwestern University Ph.D. Student, Department of Electrical and Computer Engineering

2018 - 2022: University of California, Berkeley Bachelor of Art, Computer Science and Applied Mathematics

Sparsh Gautam

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Computer Vision Engineer at Tesla

Tianze Liu

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PhD Student at Michigan Technological University

Xiangguo Liu

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Research Scientist at Meta (PhD 2023)

Xiangyu Shi

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Education

Sept. 2024 - Present: Northwestern University Ph.D. Student, Department of Electrical and Computer Engineering

2020 - 2024: Zhejiang University Bachelor of Engineering, Smart Energy

About me

Research interests: llm foundation model based embodied system.

Xinliang Li

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PhD Student at University of Georgia

Yixuan Wang

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Software Engineer at Aurora (PhD 2024)

Yueyuan Sui

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PhD Student at Northwestern University

Yufei Wang

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PhD student at Northeastern

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