ACADEMIC JOURNEY
Welcome to my "Academic Journey" section. Here, I document my educational path, highlighting key milestones and academic achievements. This section offers insights into my studies, research experiences, and scholarly pursuits at the University of Leeds and Southwest Jiaotong University Joint School. It's a journey marked by continuous learning, intellectual growth, and the relentless pursuit of knowledge. From foundational courses to advanced projects, each step reflects my commitment to excellence in the field of Electronic and Electrical Engineering.
EDUCATION BACKGROUND
- Cornell University (QS: 13), 2024-2026
- Major: Electrical and Computer Engineering, M.Eng.
- University of Leeds (QS: 76), 2020-2024
- Major: Electronic Information Engineering, B.Eng.
- Overall GPA: 3.94/4.0 (Level 1 and Level 2)
- Predicted Degree Classification: First Class Distinction
- Southwest Jiaotong University, 2020-2024
- Major: Electronic and Electrical Engineering, B.Eng.
- Overall GPA: 3.76/4.0; Average Grade: 92.58/100;
- All Specialized Core Courses GPA: 3.94/4.0
- Main Modules: Mathematics 2 (98.3), Further Engineering Mathematics (98), Control Systems (98), Digital Electronics and Microcontrollers (98), Circuit Analysis and Design (96), Embedded Systems Project (94), Microprocessors and Programmable Logic (94), Physical Electronics 2 (97.02), Power Electronics (95)
RESEARCH INTERESTS
Machine Learning
Embedded System
Data Analytics
RESEARCH PROJECTS
Recognition and Reconstruction of Elements in Scanned Page
Jan 2023 – Mar 2023, Team Leader; Advisor: Prof. José Miguel Hernández-Lobato, University of Cambridge
- Utilized the PaddleOCR library, employing the DBnet model for text detection with a precision of 96% and a recall of 94%.
- Applied the Mask R-CNN model and LayoutParser toolkit for layout analysis, successfully identifying and classifying page elements with 95% accuracy across 1,500 multi-format documents.
- This approach was tested on a dataset of 10,000 images containing distorted and low-resolution text, where it maintained an accuracy rate of 97%.
Research on Driver fatigue monitoring System based on machine learning
Aug 2022 – Jun 2023, Individual Project; Advisor: Prof. Yi Zhang, Southwest Jiaotong University
- Developed a comprehensive machine learning system, employing 10+ algorithms which were rigorously tested, resulting in a system performance enhancement of 15% over baseline models.
- Engineered and integrated four robust functional modules handling over 500 GB of data across the pipeline stages of data collection, preprocessing (achieving 99.5% data integrity), feature extraction (isolating 50+ key features with a selection accuracy rate of 98%), and machine learning.
- Executed over 200 experiments on driver fatigue detection, reaching 95% accuracy and outperforming previous models by 20%.
In-vehicle driver health monitoring and alarming system (National Project)
Apr 2022 – May 2023, Team Leader; Advisor: Prof. Yi Zhang, Southwest Jiaotong University
- Implemented real-time transmitters that monitor in-vehicle temperature and CO2 levels, maintaining environmental parameters within 5% of optimal conditions to ensure driver alertness.
- Developed non-contact fabric electrodes for ECG signal collection, capturing cardiac activity with a signal fidelity of 97%, enabling the detection of subtle physiological changes indicative of fatigue.
Data collection and processing based on Python and Wi-Fi
Apr 2021 – May 2022, Team Leader; Advisor: Prof. Yongzhi Jing, Southwest Jiaotong University
- Directed a specialized team of six, leading to the successful completion of the project 20% ahead of schedule, with a track record of 100% adherence to progress milestones.
- Implemented a Python-based TCP interactive data collection system, achieving a data transmission reliability of 99.5% between senders and receivers.
- Enhanced voice signal clarity using a Deep Clustering algorithm, resulting in a 30% improvement in the segregation of overlapping speech signals and boosting the accuracy of voice frequency extraction.
CURRICULAR ASSIGNMENTS
Calculator using TM4C123GH6PM microcontroller
XJEL3662 Embedded Systems
Embedded Systems, TM4C123GH6PM Microcontroller, 16 x 2 Liquid Crystal Display (LCD), 4x4 keypad
Stopwatch Design using FPGA boards
XJEL2665 Microprocessors and Programmable Logic
FPGA, Clock Divider, Binary to Seven Segment
Space Invaders Game based on Embedded Systems using STM32NUCLEO-L476RG
XJEL2645 Embedded Systems Project
Embed System, STM32
Electronics Escort
XJEL2645 Embedded Systems Project
C++, Replit, Engineering Calculator (Matrix Calculator, Filter Calculator, Converter Calculator)
Washing Machine Panel based on Embedded Systems using STM32NUCLEO-L476RG
XJEL1620 Digital Electronics and Microcontrollers
Embed System, STM32
COMPETITION PROJECTS
The leader of vehicle human health monitoring in the Internet of Things era
Human health, Long-term monitoring, Embedded systems, Wechat program display
PATENTS AND PUBLICATIONS
- An in-vehicle driver health monitoring and alarming system , Authorized Patent ID: ZL 2022 2 2724438.7, Jan 10th, 2023, Inventor: Jiongtao Huang; (Patent has been granted)
- Data transmission method, apparatus, storage medium and electronic device , Patent Application ID: 202310832816.X, July 9th, 2023, Inventor: Jiongtao Huang, Liwen Ke; (Patent accepted, pending grant)
- A vehicle-mounted human health index monitoring device , Patent Application ID: 202310832811.7, July 9th, 2023, Inventor: Jiongtao Huang, Liwen Ke, Changquan Huang; (Patent accepted, pending grant)
- A wearable health index monitoring device , Patent Application ID: 202310832813.6, July 9th, 2023, Inventor: Changquan Huang, Liwen Ke, Jiongtao Huang, Yuchun Zhao, Yixuan Bu; (Patent accepted, pending grant)
- Research on Driver fatigue monitoring System based on deep learning , Paper Application ID: XXXXXXX, Author(s): Jiongtao Huang; (Paper accepted, pending publication)
HONORS AND AWARDS
- December 2023: Attained the bronze medal at the national level in the China International Student Innovation Competition (2023).
- August 2023: Attained the provincial gold medal in the Ninth China International "Internet +" Student Innovation and Entrepreneurship Competition.
- August 2023: Attained the provincial silver prize in the Ninth China International 'Internet +' Innovation and Entrepreneurship Competition for College Students.
- August 2023: Attained the provincial bronze prize in the 9th China International 'Internet +' Innovation and Entrepreneurship Competition for College Students.
- August 2023: Attained the third prize at the national level in the Sixth China University Intelligent Robot Creativity Competition.
- July 2023: Attained the first prize at the national level in the 16th China University Student Computer Design Competition.
- July 2023: Attained the second prize at the provincial level in the Second China University Intelligent Robot Creativity Competition in Sichuan Province.
- July 2023: Attained the gold prize at the university level in the Ninth China International 'Internet +' Innovation and Entrepreneurship Competition for College Students.
- July 2023: Attained the gold Medal at the university level in the Ninth China International 'Internet +' Innovation and Entrepreneurship Competition for College Students.
- July 2023: Attained the gold prize at the university level in the Ninth China International 'Internet +' Innovation and Entrepreneurship Competition for College Students.
- July 2023: Attained the silver prize at the school level in the Ninth China International 'Internet +' Innovation and Entrepreneurship Competition for College Students.
- May 2023: Attained the First Prize in the 14th National University Students' Market Research and Analysis Competition, "Zhengda Cup".
- May 2023: Attained the second Prize at the Provincial Level in the 16th China University Student Computer Design Competition.
- May 2023: Attained the third prize at the Provincial Level in the 16th China University Student Computer Design Competition.
- May 2023: Attained the third prize at the Provincial Level in the 17th 'Challenge Cup' Extracurricular Academic and Technological Works Competition for College Students.
- April 2023: Attained the Bronze Prize in the 18th Challenge Cup Extracurricular Academic and Scientific and Technological Works Competition for Undergraduates of Southwest Jiaotong University.
- ... ... Many many others