Kevin Kong

Kevin KONG

Master's Student · Electrical & Computer Engineering · McGill University
Montréal, QC, Canada
+1 (825) 986-1002 | kevin.kong@mail.mcgill.ca | Kevin Kong | Kevin Kong | Curriculum Vitae

Education

MSc at McGill University
Montréal, Canada 2023.01 - 2025.01
- Major in Electrical & Computer Engineering
- Supervisors: Prof. Odile Liboiron-Ladouceur, Prof. James J. Clark
- GPA: 3.86
BEng at Shanghai Jiao Tong University
Shanghai, China 2018.09 - 2022.06
- Major in Information Engineering
- GPA: 87.79
LLB at Shanghai Jiao Tong University
Shanghai, China 2018.09 - 2022.06
- Minor in Intellectual Property Law
- GPA: 85.68
STEP at The University of Hong Kong
Hong Kong SAR, China 2019.07 - 2019.08
- Summer Semester
- GPA: 4.30

Skills

Selected Projects

Research at IIoT Center

Fine-grained Air Quality Management Based on AIoT Mobile Perception
2021.01 - 2021.08
- Designed a mobile IoT system for real-time air quality prediction, utilizing LSTM and SVD with less than 10% MAPE. Collected datasets through active collaboration, coordinating with over 50 volunteers for comprehensive data acquisition.
Wireless Signal Classification Based on Machine Learning Methods
2021.03 - 2021.06
- Designed an ML-based classifier for the accurate segmentation and classification of wireless signals. Utilized STFT and computer vision methods for feature extraction and classification, achieving 96.15% accuracy.
China Undergraduate IoT Design Competition

AIoT Intelligent Granary Monitor System
2021.06 - 2021.08
- Designed an IoT system for real-time monitoring of granary conditions, incorporating sensors for data collection and cloud integration for continuous monitoring. This project was awarded the First Prize in the National Undergraduate IoT Design Contest (Huawei Cup).
Research at Institute of Image Communication and Network Engineering

RF Fingerprints Classification Using Machine Learning Methods
2021.09 - 2022.01
- Applied FFT and Principal PCA to signals for feature extraction, utilizing statistical methods for signal analysis and concatenating feature lists into the ML model for classification and achieved an accuracy of 70%.

Research Experiences

Bachelor's Thesis

Human Motion Prediction Based on Quaternions and Graphs
2021.11 - 2022.06
- Designed a deep learning model using GNN and quaternions to enhance human motion prediction robustness under random data rotation. The bachelor's thesis based on this work was rated A by the committee and ranked in the top 10%.
Master's Thesis

PreFab: AI for Photonics
2023.08 - Now
- Developed a toolkit based on Canny edge detection for SEM image segmentation which achieved a mean IoU of 95%, and an ML-based model for super-resolution and entity segmentation to address more complex scenarios.

Work Experiences

Intel Asia-Pacific Research & Development Ltd.

Memory Reference Code Intern
2021.09 - 2021.10
- Collaborated with Intel silicon design teams to address memory-related issues for next-generation Intel chips. Developed a Python-based visualization tool for log files, enhancing post-hardware testing analysis

Extracurricular Activities

Shanghai Jiao Tong University International Elite Committee (SIEC)

Staff
2019.02 - 2020.07
- Planned and organized social events for international students.

PGSS Infernal Affairs Committee

Volunteer
2024.02 - Now
- Coordinated with the internal affairs officer to enhance social events for graduate students.

Honors & Awards

2020.03 , Member of Outstanding Engineer Education Program (OEEP) , Department of Electronic Engineering, Shanghai Jiao Tong University.
2021.08 , First Prize in the National Undergraduate IoT Design Contest (Huawei Cup) , Ministry of Education, Computer Science Teaching Steering Committee.
2021.11 , Rong Chang Scholarship for Innovations in Science and Technology , Shanghai Jiao Tong University.
2022.06 , Outstanding Graduate , Shanghai Jiao Tong University.
2023.01 , Graduate Excellence Fellowship , McGill University.