👨‍🚀 About Me

Hi! I’m Guangxin Jiang (蒋光鑫) , currently a final-year undergraduate student at Huazhong University of Science and Technology (HUST), majoring in Biomedical Engineering with a strong interest in microelectronics. I have been fortunate to work under the supervision of Prof. Qingguo Xie and Prof. Zhiwei Wang during my undergraduate studies.

I am now a visiting student at CenBRAIN, Westlake University. I will join the Hong Kong University of Science and Technology (HKUST) in the fall of 2026 as a PhD student, supervised by Prof. Zhiyong Fan.

My research focuses on sensor systems and analog integrated circuit design. In the future, I aspire to become a professor at a university. Feel free to reach out to me for discussion or collaboration! Here is my CV.

🎓 Education

HongKong University of Science and Technology (HKUST) Department of Electrical & Computer Engineering (ECE) Perspective PhD student at 26fall Visiting Research Student 25'Summer

Westlake University (WLU) School of Engineering (SOE) Visiting Student 25-26 @ CenBRAIN

Huazhong University of Science and Technology (HUST) B.Eng. in Biomedical Engineering GPA:4.2/5, Rank:6/54 National Scholar (国家奖学金, top 0.4%) Sep. 2022 - Jun. 2026 (expected)

Anhui Province Huoqiu No.1 Middle School (霍邱一中) High School Student Majoring in Science Sep. 2019 - Jun. 2022

Selected Courses

My complete scores

• CMOS Anolog Integrated circuits(86)
• Digital Integrated circuits (90)
• Device Physics(91)
• RF Integrated circuits(96)

🔥 News

🔎 Project Experience

TDC circuits design Supervisor: Prof. Qingguo Xie 10/2024 ~ 06/2025, HUST & USTC Participated in the design of the core Time-to-Digital Converter (TDC) module for a novel fully digital monolithic silicon photomultiplier (MT-SiPM). Completed circuit design for pulse rising/falling edge detection, delay control units, and measurement channels, and is currently designing the measurement precision control module. Additionally, proposed a tree-shaped symmetrical routing scheme to address the signal inconsistency in the multi-channel array of PET detectors. This scheme significantly reduces delay differences between channels caused by RC parasitic effects. Before joining the project team, I also completed scientific research training (primarily on Cadence Virtuoso usage) and ultimately finished the design of an operational amplifier.

Biomedical signal classification Supervisor: Prof. Zhiwei Wang 04/2024 ~ 07/2024, HUST WNLO Based on electrocardiogram (ECG) and electroencephalogram (EEG) multimodal data from both depression patients and healthy individuals, Support Vector Machine (SVM) and Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) models were established. Innovatively proposing the concept of “depressive episode proportion,” this approach addresses the issue of imbalanced sample sizes and effectively achieves screening and detection of early-stage depression in adolescents. Defense PPT in Chinese

🎖️ Awards

• National Scholarship(10K RMB💰)
• Notioanal Encourgement Scholarshhip(5K RMB💰)
• Merit Student(2K RMB💰)
• National Robotics and Intellgence Compition Excellent prize
• National Mathmatical Compitition Second Prize
• HUST Mathmatical Modeling Compitition First Prize

🔨 Skills

• English:IELTS:6.5(L6.0 R7.5 W6.5 S5.5) CET-6:511
• Circuit Design(Candence Virtuoso, LTspiec, NI Multisim)
• Programming(Python, Matlab, C/C++)
• Microsoft Office (Word, Excel, PPT)

🎽 Activity

• 2026.04 Experience Sharing on Post-Graduation Directions
• 2023.07 Summer Voluntary Teaching in Laifeng County, Hubei Province
• 2023.01 Outstanding students return to their alma mater
• More than 250 Volunteer Hours in total

🇶🇦 Questions