Jiongtao Huang

Jiongtao Huang

SWJTU-Leeds, Year 4

Academic Resume

Published:

EDUCATION BACKGROUND

Cornell University (QS: 13), Aug 2024 – May 2026

  • Major: Electrical and Computer Engineering, M.Eng.

University of Leeds (QS: 76), Sep 2020 – Jun 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, SWJTU, Sep 2020 – Jun 2024

  • Major: Electronic and Electrical Engineering, B.Eng.
  • Overall GPA: 3.71/4.0; Average Grade: 91.52/100; Rank 2/73
  • 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)

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: AIDSCE 639, Author(s): Jiongtao Huang; (Paper accepted, pending publication)

RESEARCH PROJECTS

Recognition and reconstruction of the 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, maintainingenvironmental 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 three, leading to the successful completion of the project 20% ahead ofschedule, 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.

HONORS AND AWARDS

  • National 1st Prize, The 16th National University Computer Programming Competition of China
    Project name: Intelligent loading and unloading solutions for urban logistics, Jul 2023
  • Provincial Comprehensive Quality Level A Award, Sichuan Province Student Federation, Feb 2023
  • District 3rd Prize and 8000 RMB Award, Pidu District Elite Entrepreneurship Competition
    Project name: In-vehicle Human Health Monitoring Leader in the Internet of Things Era, Dec 2022
  • National Bronze Award, The 8th National “Internet+” Student Entrepreneurship Competition
    Project name: In-vehicle Human Health Monitoring Leader in the Internet of Things Era, Dec 2022
  • National 2nd Prize, National College E-Commerce Entrepreneurship and Innovation Challenge
    Project name: In-vehicle Human Health Monitoring Leader in the Internet of Things Era, Jul 2022
  • School Level 1st Prize and 6000 RMB Award, Double Excellence Fund Scholarship, Sep 2021
  • School Record Holder in 100 m, Southwest Jiaotong University for general student (11’10s), Apr 2021

ENTREPRENEURIAL EXPERIENCE

Sichuan Jiemin Technology Co.,Ltd - Chengdu, China, Nov 2021
Co-founder, Percentage of shares: 80 %

  • Launched a vehicle health monitoring system and an online medical payment platform, directly leading a software team to meet critical industry needs.
  • Initiated and closed strategic partnerships with Chengdu Hikvision Research Institute and Chengdu Extreme Viewpoint Technology, expanding company reach and capability.
  • Streamlined our supply chain by securing a pivotal agreement with Guilin Jingrui Sensor Technology Co., significantly enhancing the quality and efficiency of our product offerings.

Hunan Chuangben Technology Co.,Ltd - Xiangtan, China, Jan 2023
Co-founder, Percentage of shares: 95 %

  • Pioneered a university competition tutoring enterprise, and aligning services with academic rigor and career readiness.
  • Drove the company’s inaugural success by enrolling 70 students in an e-commerce innovation and entrepreneurship intensive during the 2023 winter term, reflecting strong student engagement and program appeal.
  • Designed an expansion strategy to diversify offerings, paving the way for inclusion of various academic competitions and a suite of university-level educational services.

LEADERSHIP AND SOCIAL ACTIVITIES

  • President of the University Student Campus Self-Management Committee, May 2023 – Present
  • Most Contributive Volunteer Award in the 31st Chengdu World University Games, May 2022
  • Class Leader of the New Youth Global Competency Development Programme, Mar 2022 – Dec 2022
  • Ministry of the University Student Campus Self-Management Committee, May 2021 – Apr 2023

RESERCH AND PROJECT COMPETENCIES

  • Programming Languages: Python with TensorFlow and PyTorch (Machine learning), MATLAB (Simulations of signal processing), VHDL (Designing digital circuits), C++ (Programming on microcontrollers), Quartus (Circuit simulation), Java (General-purpose programming, particularly useful for Android app development), R (Data analysis and statistical computing), JavaScript (Web development, including front-end frameworks like React or Angular)
  • Hardware: Mbed (On STM32 boards), FPGA boards (For advanced digital design and prototyping), Oscilloscopes and Logic Analyzers (For hardware debugging and analysis)
  • Writing Tools: LaTeX and Markdown, Microsoft Office Suite (Word, Excel, PowerPoint for professional document preparation), Jupyter Notebooks (For interactive coding and data visualization), Git and GitHub (Version control and code repository management)

CERTIFICATES AND SKILLS

  • Certificates: Intermediate Level of Certificate for E-Commerce Professionals (E-Commerce Big Data Analysis and App Development), National 2nd-Class Athlete Certificate (China)
  • Languages: Native Mandarin, Fluent in English
  • Design and Editing Skills: Advanced level in Adobe Photoshop, Proficient in Adobe Premier, Skilled in using X-Mind (Mind mapping and brainstorming tool)

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