Lab

Members of the lab


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Ke Ma

PhD, 2021 Michaelmas Entry

km834@cam.ac.uk

I am a PhD student supervised by Dr. Stephan Goetz in the Department of Engineering at the University of Cambridge. My research interests include computational neuroscience, modelling of transcranial magnetic stimulation, statistical models, biomedical engineering, control systems, and optimisation. I received a BEng degree in Electronic and Electrical Engineering from the University of Liverpool with the first class (Top One), and an MSc degree in Electrical Engineering Department from Imperial College London with distinction. I am currently studying and analysing neuromodulation variability involved in transcranial magnetic stimulation using mathematical techniques. Moreover, I am developing a new software for analysing the variability of motor-evoked potential as well. More information about my publication is available here. If you are interested in my project, please do not hesitate to contact me!


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Mowei Lu

PhD, 2022 Michaelmas Entry

ml2010@cam.ac.uk

I am a PhD student supervised by Dr. Stefan Goetz in the Department of Engineering at University of Cambridge. My research interests include power flow/quality control, grid-forming converters, and applications of WBG devices. You can find my publication here. I received the BEng degree in Electronic and Electrical Engineering from Southwest Jiaotong University, Chengdu, China, the BEng (first class) degree in Electrical and Electronic Engineering from the University of Leeds, Leeds, UK, both in 2021, and the MPhil degree in Engineering from the University of Cambridge, Cambridge, UK, in 2022. Aside from my academic pursuits, I am interested in football, gym activities, table tennis, and singing. More information about me is available here.


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Siwei Liu

PhD, 2023 Michaelmas Entry

sl2049@cam.ac.uk

I am a PhD student in the Department of Engineering at the University of Cambridge, Wolfson College, supervised by Dr. Stephan Goetz. My research concerns mathematical and physical methods of modeling brain stimulation (Transcranial magnetic stimulation, TMS). Before this, I worked as a research assistant at Peking University (supervised by Dr. Guannan He). I obtained my master’s degree in Applied Mathematics at the University of Cambridge (Part III) and a bachelor’s degree in Applied Mathematics at The Chinese University of Hong Kong, Shenzhen.


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Lekang Jiang

PhD, 2023 Michaelmas Entry

lj408@cam.ac.uk

I am a PhD student in the Department of Engineering at University of Cambridge, Churchill College, supervised by Dr.Stephan Goetz. My research is about the application of Natural Language Processing (NLP) and Large Language Models (LLMs) in the patent domain, including patent analysis and patent text generation. If you are interested in related topics, please feel free to contact me. Prior to this, I obtained my master degree in Advanced Computer Science at University of Cambridge and bachelor degree in Computer Science with Artificial Intelligence at the University of Nottingham. More information about me can be found at my personal website.


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Xiaoyang Tian

Postdoctoral Research Associate, 2024 Michaelmas Entry

xt255@cam.ac.uk

I am a postdoctoral research associate supervised by Dr. Stephan Goetz in the Department of Engineering at the University of Cambridge. My research interests include magnetic field control and optimization, wireless power transfer, electric vehicle technologies, power electronics, biomedical engineering and neurosciences. Before this, I worked as a postdoctoral associate with the Department of Psychiatry & Behavioral Sciences, School of Medicine, Duke University. I received the Ph.D. degree in electrical and electronic engineering at the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China, in 2022.


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Xuyi Hu

PhD, 2024 Michaelmas Entry

xh365@cam.ac.uk

I am a PhD student in the Department of Engineering at the University of Cambridge, supervised by Dr. Stefan Goetz. My research focuses on medical imaging, computer vision, and augmented/virtual reality. I hold a BEng degree in Electronic and Electrical Engineering from University College London (2022) and an MSc degree in Artificial Intelligence from Imperial College London (2023). You can find more information about my publications here. If you are interested in my research or potential collaboration opportunities, please feel free to contact me!


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Mengjie Qin

Visiting Scholar, 2023-2024

mq234@cam.ac.uk

I am previously a joint PhD in the Department of Engineering at the University of Cambridge. My research focuses on exploring integrated topologies, high-temperature module packaging, and the control strategy of resonant converters. Driven by a passion for innovation, I am committed to continuously enhancing my skills and knowledge. My ultimate goal is to contribute meaningfully to the field of power electronics and make a positive impact within the industry. I warmly invite you to engage in discussions and collaborations via mq234@cam.ac.uk if you share an interest in my research endeavors. Let’s connect and explore new possibilities together!