Tianyi (Bruce) Chen


Introduction:

My name is Tianyi Chen, received Computer Engineering (BS) at Northern Arizona University and Electronic Information Engineering (BS) at Chongqing University of Posts and Telecommunications, both from 2020 to 2024. My primary academic focus is on machine learning and applied AI. In my leisure time, I'd like to engage in small-scale projects which facilitate me life. Currently, they have included combining hardware (IoTs) and software to build practical devices, server hosting, remote accessing, and docker composing. Additionally, I have passions for video games and animations. Aside from Chinese, both English and Japanese are OK for me.

This is my Resume



Experienced Fields:


Publications: Google Scholar

Tuy Tan Nguyen, Tianyi Chen, Ian Philippi, Quoc Bao Phan, Shunri Kudo, Samsul Huda, and Yasuyuki Nogami, "A Highly Secure and Accurate System for COVID-19 Diagnosis from Chest X-Ray Images," 67th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS 2024), Springfield, MA, 11–14 Aug. 2024, pp. 980–984. (accepted by MWSCAS)
Tianyi Chen, Ian Philippi, Quoc Bao Phan, Linh Nguyen, Ngoc Thang Bui, Carlo daCunha, and Tuy Tan Nguyen, "A Vision Transformer Machine Learning Model for COVID-19 Diagnosis Using Chest X-Ray Images," Healthcare Analytics, vol. 5, pp. 100332, Jun. 2024. (Journal Link)
Tianyi Chen, Ian Philippi, Quoc Bao Phan, et al. High-accuracy fine-tuned vision transformer model for diagnosing COVID-19 from chest X-ray images. TechRxiv. January 02, 2024. (Preprint)

Lab:

Digital Systems Design Laboratory of Northern Arizona University

Collaborative Innovation Center for New Generation Information Network and Terminal at Chongqing University of Posts and Telecommunications


Project Experience:

AI-Telehealth Part-II (2024, NAU, Senior, US)
Topic: Vision Transformer, Convolutional Neural Network, Post-Quantum Cryptography, Kyber, Visualization
Continuing the Part-I of AI-Telehealth project, my paper was rejected by the Biosensors and Bioelectronics: X because of "Can't find reviewers (free of publication when we submitted)", which was frustrated to us. Later Dr. Tuy searched for another Journal to publish. After several revisions, this article is officially accepted and published at https://doi.org/10.1016/j.health.2024.100332, where I served as the only first author. Also, after submiiting the revised article, I implemented the optimized model online to open chest X-ray COVID-19 diagnosis service with 95.79% in four-class classification. At the same time, the other group member Ian and I work at applying the post-quantum kyber cryptography in image encryption and decryption, designing and simulating a local AI-Telehealth system, integrated with the optimized model.
I have to say, for small number of classification (such as 4 in this research), the fine-tuning of hyperparameters and ultilization of special methods to avoid bias is more important than searching for new models. Since our expriments show that each prodominant models demonstrates similar accuracy performance.

This is the picture of the poster presentation of AI-Telehealth Phase-II

AI-Telehealth Part-I (2023, NAU, Senior, US)
Topic: Image Classification, Vision Transformer
In this project, I write my first paper (preprint), which is about research in more accuracy and efficient computer vision model in classifying chest X-rays about COVID-19. Served as the leader of this project, my task is experimenting and training different pre-trained model structures with fine-tuning on training configurations and then modifying the hyperparameters and structures of the selected model, under the supervision and guidance of Dr. Tuy Nguyen and his Ph.D student Bao (in Digital Systems Design Laboratory). Our partial but excellent work make us win the third prize in the NAU EGR-FEST II presentation. If you're interested in this project, visit here for more information.

This is the picture of winning thrid prize in NAU Engineering Fest

FPGA Alarm System (2022, CQUPT, Junior, CN)
Topic: Embedded System, Internet of Things
This is the beginning of my project which happens in a FPGA design race hold by an Intel Innovation Center of China authorized company. I lead team win the third prize. I am in charge of the whole designing, where my members write the documents and record presentations. As shown in the left, this simple designed system can count time using built-in clock, receive information from sensors (temperature and light), display the information on the website (through ESP8266 WiFi block), and alert with set conditions. For more information, please click here (blog).

This is the picture of FPGA alarm plaform project

Education:

Place Duration Degree Major Status
Chonqing University of Posts and Telecommunications Sep,2020 - June,2023 Bachelor of Science Eletronic Information Engineering In Progress
Northern Arizona University Aug,2023 - May,2024 Computer Engineering
For more information please visit my personal site.

Life:

Life in USA (2023 Aug - 2024 May, Northern Arizona University, BS)

Life in CN

Contact Info:

tc922@nau.edu/ty_bruce.chen@outlook.com/tianyi.bruce.chen@gmail.com
GitHub: https://github.com/TyBruceChen
https://tychence.wordpress.com/ Personal Site