Hello! πŸ‘‹ I'm Dongwook Kwon

AI Researcher & Graduate Student at University of Toronto
Specializing in Machine Learning, Anomaly Detection, and Medical AI

Dongwook Kwon - AI Researcher

About Me

AI Researcher passionate about Machine Learning and Medical AI

Current Status

  • Graduate Research Exchange at University of Toronto (2025)
  • AI Research Project at LG Electronics Canada
  • Master's Student at Kwangwoon University (GPA: 4.33/4.5)

Research Impact

8+ Publications
3+ Patents
9+ Awards
8+ Projects

Core Expertise

Machine Learning Anomaly Detection Medical AI Deep Learning Computer Vision IoT Security

Key Achievements

  • Minister's Award - Smart Maritime Logistics (2021)
  • Best Poster Silver - Biomedical Engineering Conference (2024)
  • Achievement Award - Qualcomm Institute, UCSD (2022)
  • Multiple Patents - Network & Medical Device Anomaly Detection

International Experience

2025 - University of Toronto πŸ‡¨πŸ‡¦
Toronto, Ontario, Canada
2022 - Qualcomm Institute, UC San Diego πŸ‡ΊπŸ‡Έ
La Jolla, California, USA

Research Focus

Medical Device Security Anomaly detection in implantable devices
AI for Healthcare Deep learning for medical applications
Network Security AI-powered network anomaly detection

Experience

My professional journey and research experiences

Current

Jan 2025 – Present

Research Secondment

University of Toronto

Toronto, Ontario, Canada

Period: Current Jan 2025 – Present
Location: Toronto, Ontario, Canada

Conducting advanced research in AI and machine learning as part of the Graduate Research Exchange Program, collaborating with leading researchers in the field.

Conducting advanced research in AI and machine learning as part of the Graduate Research Exchange Program, collaborating with leading researchers in the field.

Current

Jan 2025 – Present

Research Project

LG Electronics Canada

Toronto, Ontario, Canada

Period: Current Jan 2025 – Present
Location: Toronto, Ontario, Canada

Conducting advanced research in AI and machine learning applications for consumer electronics and smart devices.

Conducting advanced research in AI and machine learning applications for consumer electronics and smart devices.

Current

Aug 2021 – Present

Research Assistant

Bio-Computing and Machine Learning Laboratory

Kwangwoon University, Seoul, South Korea

Period: Current Aug 2021 – Present
Location: Kwangwoon University, Seoul, South Korea

Leading research initiatives in bio-computing applications, developing machine learning models for medical device anomaly detection, and contributing to multiple high-impact publications.

Leading research initiatives in bio-computing applications, developing machine learning models for medical device anomaly detection, and contributing to multiple high-impact publications.

Completed

Jul 2022 – Aug 2022

AI Development Project

Qualcomm Institute

University of California, San Diego

Period: Completed Jul 2022 – Aug 2022
Location: University of California, San Diego

Summer internship focusing on AI development projects, working on cutting-edge research in wireless communication and signal processing applications.

Summer internship focusing on AI development projects, working on cutting-edge research in wireless communication and signal processing applications.

Completed

Feb 2021 – Dec 2021

Development Project

SK Telecom

Seoul, South Korea

Period: Completed Feb 2021 – Dec 2021
Location: Seoul, South Korea

Participated in telecommunications development projects, contributing to innovative solutions in mobile network optimization and data analytics.

Participated in telecommunications development projects, contributing to innovative solutions in mobile network optimization and data analytics.

Education

My academic journey and achievements

Current

Jan 2025 – Present

Graduate Research Exchange Program

University of Toronto

Toronto, Ontario, Canada

Period: Current Jan 2025 – Present
Location: Toronto, Ontario, Canada
Focus: Advanced AI research collaboration with LG Electronics Canada

Focus: Advanced AI research collaboration with LG Electronics Canada

Current

Mar 2024 – Present

Master of Science in Computer Engineering

Kwangwoon University

Seoul, South Korea

GPA: 4.33/4.5 (98.1%)

Period: Current Mar 2024 – Present
Location: Seoul, South Korea
GPA: 4.33/4.5 (98.1%)
Thesis: Deep Learning-based Anomaly Detection in Medical Devices
Advisor: Prof. Cheolsoo Park β€’ Published 5+ papers, 2 patents

Thesis: Deep Learning-based Anomaly Detection in Medical Devices

Advisor: Prof. Cheolsoo Park β€’ Published 5+ papers, 2 patents

Completed

Mar 2019 – Feb 2024

Bachelor of Science in Electronics & Communications Engineering

Kwangwoon University

Seoul, South Korea

GPA: 3.41/4.5 (88.1%)

Period: Completed Mar 2019 – Feb 2024
Location: Seoul, South Korea
GPA: 3.41/4.5 (88.1%)
Achievements: Excellence Award (2022)
SW Award (2021)
Academic scholarships

Achievements: Excellence Award (2022), SW Award (2021), Academic scholarships

Projects

Research and industry experience in AI and machine learning

Active

Evaluation Frameworks for Agentic AI Systems

LG Electronics Canada

Toronto, Ontario, Canada β€’ Jan 2025–Present

Developed an evaluation framework for agentic AI systems using LLMs to assess performance

LLM Agentic AI Evaluation Performance Assessment
Active

AI-based Intrusion Detection and Attack Packet Crafting Technologies for APR1400

Sejong University

Seoul, Korea β€’ Jul 2022–Present

Developed an AI defense system to protect nuclear power plants from cyber attacks, which led to a publication and an outstanding paper award for its application to medical devices

Deep Learning Intrusion Detection Nuclear Security Attack Prevention
Completed

Development of Active Kill-Switch and Biomarker Based Defense System for Life-Threatening IoT Medical Devices

Kookmin University

Seoul, Korea β€’ Sep 2021–Dec 2022

Developed a security system for heart implant devices using an anomaly detection algorithm, which resulted in a publication and a patent

IoT Security Medical Devices Anomaly Detection Biomarker Analysis
Completed

Quadruped Robot Using Vision SLAM with a Depth Camera

Ministry of Science and ICT

Korean Government β€’ Apr 2022–Nov 2022

Developed an autonomous quadruped robot using a navigation algorithm with SLAM and a depth camera, which resulted in receiving the University President's Award and the Federation President's Award

Computer Vision SLAM Robotics Depth Camera Navigation
Completed

Personality-Based Drug Addiction Prediction System

Qualcomm Institute

University of California, San Diego β€’ Jul 2022–Aug 2022

Developed a personality-based drug addiction prediction system using a machine learning model, which resulted in receiving an Achievement Award

Machine Learning Healthcare Personality Analysis Prediction
Completed

Development of a Smart Logistics System Using Computer Vision

Ministry of Oceans and Fisheries

Korean Government β€’ Apr 2021–Nov 2021

Developed a logistics detection system that incorporates location tracking and stack layer identification for containers, which resulted in receiving the Korean Minister's Award

Computer Vision Logistics Location Tracking Container Detection
Completed

Smart Kitchen IoT System Utilizing Computer Vision and Deep Learning

Kwangwoon University

Seoul, Korea β€’ May 2021–Oct 2021

Developed a cloud IoT platform featuring a system for classifying groceries in the fridge and an OCR receipt program, which resulted in receiving the University President's Award

IoT Computer Vision Deep Learning OCR Cloud Platform
Completed

Kinematic Motion Classification System using Accelerometer and Gyroscope Sensor Data

Kwangwoon University

Seoul, Korea β€’ Sep 2021–Oct 2021

Developed a kinematic motion classification system using accelerometer and gyroscope sensor data, which resulted in receiving the Director's Award

Sensor Data Motion Classification Accelerometer Gyroscope Signal Processing

Research & Publications

Recent publications and patents in AI and machine learning

πŸ… Awards & Honors

Minister of Oceans and Fisheries Award (Gold Medal)

Smart Maritime Logistics Project Competition

December 17, 2021

Achievement Award

Qualcomm Institute AI Development Project, UC San Diego

August 15, 2022

Best Poster Award Silver Winner

The 10th International Biomedical Engineering Conference

November 8, 2024

Outstanding Paper Award

Korean Society of Medical and Biological Engineering Fall Conference

November 11, 2023

Kwangwoon University President's Award (Excellence)

18th Kwangwoon ICT Exhibition (KWIX)

September 29, 2022

Kwangwoon University President's Award (Grand Prize)

2021 MY (Multi-Y) Capstone Design Competition

October 8, 2021

Korea Information Industry Federation Chairman's Award (Bronze)

2022 Hanium ICT Mentoring Contest

December 2, 2022

Kwangwoon University SW Center Director's Award (Encouragement)

2021 AI Hackathon

October 8, 2021

Scholarship Recipient

Kwangwoon University Alumni Association

December 15, 2022

πŸ“œ Recent Publications

Designing a remote photoplethysmography-based heart rate estimation algorithm during a treadmill exercise

Electronics, vol. 14, no. 5, p. 890, 2025

N. Yusang, J. Lee, J. Lee, H. Lee, D. Kwon, M. Yeo, S. Kim, R. Sohn, and C. Park

Hybrid neural network model for anomaly detection in implantable devices using graph attention networks and transformers

Proc. of the 10th International Biomedical Engineering Conference, 2024

D. Kwon, M. Kim, Y. Kang, J. Lee, and C. Park

A Dual-Directional Approach to Anomaly Detection in Cyber-Physical Systems

Proc. The Institute of Electronics and Information Engineers Summer Annual Conference of IEIE, 2024

D. Kwon, Y. Kang, H. Kim, S. Yoo, and C. Park

Metaverse: Design of the Car Price Prediction Model Through a Machine-learning Approach

Proc. 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), pp. 734-737

J. Yang, J. Kim, J. Lee, H. Ryu, D. Kwon, S. Yeo, P. Kim, Y. Kim, J. Lim, H. Yoon, and C. Park

Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU

Proc. 33rd Artificial Intelligence and Signal Processing Conference, 2023, pp. 239-241

D. Kwon, Y. Kang, J. Yang, and C. Park

Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model

Proc. 62nd KOSOMBE Autumn Conference, 2023, pp. 204-205

D. Kwon, Y. Kang, and C. Park

Blood Pressure Estimation Based on Graph Convolution Network with Peak to Peak Interval

Proc. 62nd KOSOMBE Autumn Conference, 2023, pp. 426-428

Y. Kang, D. Kwon, and C. Park

Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis

Proc. 60th KOSOMBE Autumn Conference, 2022, pp. 425-426

D. Kwon, Y. Kang, and C. Park

πŸ’‘ Patents

Categorical Data of Networks-Based Network Anomaly Detection Apparatus and Method Thereof

Patent Applicant, Application No. KR 10-2024-0110559, August 29, 2024

Method for Implantable Medical Device to Detect Anomaly in Real Time

Patent Applicant, Application No. KR 10-2022-0164087, November 30, 2022

GPT API-Based Network Anomaly Detection

Patent Applicant, Application No. KR 10-2023-0139066, October 17, 2023

Leadership Experience

Student leadership roles at Kwangwoon University

Kwangwoon University

2019 – 2024 β€’ Seoul, South Korea

President, Kwangwoon International Student Association
Director of Filming and Editing, Kwangwoon Broadcasting Center (KWBC)
Class Representative, Student Council, Department of Electronics and Communications Engineering
Executive Member, Amateur Radio Club

Contact

Let's connect and collaborate!

Email

dongwook.kwon@mail.utoronto.ca

Location

Toronto, ON, Canada

Current Position

Graduate Research Exchange, University of Toronto