Liangqi Yuan

Liangqi Yuan

PhD Student

Purdue University

Greetings! I am currently a Ph.D. student in the School of Electrical and Computer Engineering at Purdue University. I earned my M.S. degree from Oakland University in 2022 under the advisement of Prof. Jia Li and Prof. Hongwei Qu. Prior to that, I received my B.E. degree from Beijing Information Science & Technology University (BISTU), Beijing, China, in 2020. Additionally, I spent my senior year as a visiting student at Oakland University in 2020.

Currently, I am serving as a Graduate Research Assistant at the ION research lab, advised by Prof. Christopher G. Brinton. Concurrently, I am actively collaborating with Prof. Ziran Wang. At the moment, my primary research project centers on Multimodal Federated Learning. Please feel free to email me if you have any questions!

Interests
  • Internet of Things
  • Machine Learning
  • Sensors
  • Biometrics
  • Pattern Recognition
Education
  • Ph.D. in Computer Engineering, 2027

    Purdue University

  • M.S. in Electrical Engineering, 2022

    Oakland University

  • Visiting Student, 2020

    Oakland University

  • B.E. in Photo-electronic Engineering, 2020

    Beijing Information Science & Technology University

News

Projects

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Federated Learning

Federated Learning

Federated learning (FL) is an innovative collaborative approach that enables numerous clients to collectively enhance knowledge while prioritizing privacy, efficiency, and minimal communication overhead. Our endeavor centers on delivering personalized FL solutions, emphasizing a human-centric design.

Passive Radio Frequency

Passive Radio Frequency

Passive radio frequency (RF) systems are capable of receiving ambient RF signals without the need for deploying new transmitters, nor transmitting, rejecting, or shielding RF signals. Moreover, these systems operate without awareness of the RF signals and do not require prior knowledge about the presence of RF transmitters.

Pressure Sensor Array

Pressure Sensor Array

Pressure is a fundamental modality of human sensing. With the designed, constructed, and characterized polymer composite material Velostat, pressure sensor arrays benefit from its flexible material properties and affordability, making them an ideal choice for applications in flexible textiles, wearable sensors, and smart home systems.

Publications

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Teaching

Purdue University

Grading Assistant

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