Portfolio

Education

• MASc, Mechatronics Engineering, University of Waterloo (January 2024 - Present)
• B.Eng., Mechatronics Engineering, Toronto Metropoliton University (August 2018 - June 2023)

Work Experience

• Technology Planning and Cooperation Research Intern @ Huawei Canada (August 2025 - Present)
  • Multi-agent system analysis
  • Agentic science analysis
  • AI4Research analysis and development
• Teaching Assistant @ University of Waterloo (May 2024 - April 2025)
  • Teaching Circuits
  • Teaching Mechanics of Deformable Solids
  • Teaching Statics
• Research Assistant @ Toronto Metropoliton University Robotics and Computer Vision Lab (June 2023 - January 2024)
  • Research on multi-robot collaboration joint trajectory planning and control
  • Research on micro-plastic detection via ultrasonic sensor and machine learning
• Research Assistant @ Toronto Metropoliton University MEMs Lab (September 2022 - February 2023)
  • Research on FPCB mirror-based lidar scanners
  • Integration of PSD sensors, ToF sensors, and GUI
• Research Assistant Intern @ Toronto Metropoliton University Ultrashort Laser Nanomanufacturing Lab (April 2021 - September 2021)
  • Conducting porosity and fiber analyses via SEM image processing
  • Generating molecular dynamics simulations
• Research Assistant Intern @ Toronto Metropoliton University Ultrashort Laser Nanomanufacturing Lab (April 2020 - September 2020)
  • Conducting porosity and fiber analyses via SEM image processing
  • Generating molecular dynamics simulations

Publications

1. Predicting the Risk of ACL Injuries Using Machine Learning Models and Anatomical Predictors (Under review) Cheng-Hao Kao, Javad Hashemi, James Slauterbeck, Naveen Chandrashekar Link
2. Morphological Detection and Classification of Microplastics and Nanoplastics Emerged from Consumer Products by Deep Learning Hadi Rezvani, Navid Zarrabi, Ishaan Mehta, Christopher Kolios, Hussein Ali Jaafar, Cheng-Hao Kao, Sajad Saeedi, Nariman Yousefi Link
3. MR. CAP: Multi-Robot Joint Control and Planning for Object Transport Hussein Ali Jaafar, Cheng-Hao Kao, Sajad Saeedi Link

Other Projects

• Time-series signal classification for tool & firearm use intervention via deep learning (Honda & GRYP Tech & UW)
• Data cleaning of wearable sensor time-series data (Honda & GRYP Tech & UW)
• IMU data processing and visualization (GRYP Tech & UW)
• Object segmentation and identification via SAM and YOLO (UW)
• Analyzing effect of homogeneous bagging on small medical datasets (UW)
• EKF design for 3D object tracking (UW)
• Improving SVM prediction accuracy on minority classes for imbalanced datasets (UW)
• MPC implementation for path planning and controls (TMU)
• Inverted pendulum control via PID controllers (TMU)

Technical Skills

• Programming Languages: Python, MATLAB, processing, C/C++
• Software and Tools: PyTorch, TensorFlow, AutoGluon, SkLearn, YOLO, SAM, Optuna, Matlab, Soildworks, Latex