Personal Profile

General Information

Full Name Haowei Cheng
Contact haowei.cheng [at] fuji [dot] waseda [dot] com
Languages Chinese (Native), English (Fluent), Japanese (Fluent), Spanish (Beginner)

Research Areas

  • My research focuses on improving the reliability of intelligent software and systems using Generative AI-driven requirements engineering.
  • Additionally, I'm interested in ensuring trustworthy AI, with a specific focus on Explainable AI (XAI).

Education

Work Experience

  • 2024 - now
    Machine Learning Engineer at QAML, Inc.
    • Tokyo, Japan
    • Job Description:
    • Collecting ML Data and labelling and programming for the collection from sensor and the pre/post-processes
    • Training and inference of ML
    • Tool development for visualization of inference results or test datasets
  • 2024 - now
    Co-Chair at Waseda University Mu Tau chapter
    • Tokyo, Japan
    • Description: Waseda University Mu Tau chapter is the first IEEE Eta Kappa Nu chapter in Japan. The chapter was founded on July 22, 2018 during the IEEE COMPSAC 2018 in Tokyo.
    • Our mission: To promote excellence in research and to serve the students of the Electrical Engineering community at Waseda with academic support and services.
  • 2022 - 2023
    English Teaching Assistant
  • Summer 2019
    &
    Summer 2020
    Software Engineering Intern
    • Xi'an city, Shannxi, China
    • Company name: Xi'an Yunchuang Power Information Technology Co., Ltd

Professional Experience

  • 2022 - 2023
    Deep-fake Speech Detection (Master's Project)
    • Analyzed the concept of Spectro-temporal Modulation (STM) representation in human auditory mechanism.
    • Applied the light convolutional neural network bidirectional long short-term memory (LCNN-BiLSTM) model that utilizes STM representations for efficient deep-fake speech detection.
    • This work offers theoretical support for a fake speech detection system (EER of 42.10%)
  • 2022
    Machine Learning - Text Classification
    • Converting text to vectors (Tfidf, word2vec)
    • Using multilayer perceptron (MLP) training, the accuracy reaches 0.98 (200 iterations)
  • 2022
    Speech Recognition-Speaker Recognition
    • Speech signal processing: add white noise (MFCC), design filters (IRR, FIR)
    • Speaker recognition: training model (GMM), calculating match scores
    • Accuracy rate: 96.21%
  • 2021
    Operating Systems - File System Implementation
    • Simulates a simple file system using bitmaps and other methods to allocate space appropriately.
  • 2020
    Class Assistant Sign-in Management Project
    • Analyzed the current situation of "Digital Classroom" for students at home and abroad.
    • Applied the theory of session to the management of user log-in and authorities.
    • Applied major technologies (Spring Boot, Bootstrap) to realize system function.
    • Tested and optimized the project.
  • 2020
    Design of COVID-19 Visualization Platform in China
    • Analyzed the National Health Commission and Baidu Inc’s COVID-19 data.
    • Utilized Web Crawler to collected, cleaned, and adjusted the raw data (Python Scrapy).
    • Design a reasonable database (MySQL) and visualize the data (Flask, Echarts).

Honors and Awards

  • Scholarships
  • Fellowships
  • Scholarships
    • National Encourage Scholarship (2018 - 2021)
    • Issued by Ministry of Education of the People's Republic of China
    • Description: This program aims to motivate students with financial difficulties, who got outstanding achievements academically as well as in extracurricular areas.
  • Scholarships
    • The Frist Prize Scholarship of LZIT (2018 - 2021)
    • Issued by Lanzhou Institute of Technology
  • Awards

Computer Skills

  • ○ Programming languages: C, C++, Python, Matlab, Java.
  • ○ Frameworks: Tensorflow, NumPy, SciPy, Pandas.

Other Interests

  • Hobbies: Piano, Motorcycle, Diving, Tennis, Hiking