Researcher

2024 - 2025

Dongguk University Industry-Academic Cooperation Foundation
South Korea
  • Developed and optimized pipelines for data generation and analysis, ensuring high accuracy and efficiency in producing datasets for decision-making processes.

  • Worked on developing novel time-series deep-learning architectures and frameworks.

  • Published papers in high-quality journals indexed in Science Citation Index Expanded.

  • Presenting and teaching undergraduate and master's students in weekly seminars.

Exhibitor - Short-term assignment

2024

Benchmark Organization
South Korea
  • Worked as an organizer and interpreter at the Saudi Arabian booth at the Seoul International Book Fair.

Officer
2021 - 2022
Toastmasters International Club
South Korea
  • Joined a Toastmasters club and acquired soft skills, including communication, public speaking, and leadership.

  • Facilitated communication and collaboration as Vice President of Education, managing member accounts and ensuring alignment with organizational objectives.

Experience

Researcher

2021 - 2025

PLASS Lab
South Korea
  • Conducted research in ML security, generative AI, and data-driven risk analysis.

  • Developed innovative AI frameworks dealing with how power consumption is affected by the source code.

  • Automated, large-scale data generation and processing pipelines for AI applications that aim to reduce computational complexity and enhance energy efficiency.

  • Presented research progress and taught master's students in weekly seminars.

Doctor of Engineering degree
Computer Engineering department

2024 - 2025

Dongguk University
South Korea

Education

Master of Engineering degree
Computer Engineering department

2018- 2021

Dongguk University
South Korea
Bachelor’s degree
Information Systems

2018- 2021

Almaarefa University
Saudi Arabia
Feature Selection Methods Simultaneously Improve the Detection Accuracy and Model Building Time of Machine Learning Classifiers (IF 2.2, Q2)

Symmetry, 12, 1424. (2020)

https://doi.org/10.3390/sym12091424

Generating Synthetic Dataset for ML-based IDS Using CTGAN and Feature Selection to Protect Smart IoT Environments (IF 2.5, Q1)

Applied Sciences, 13, 19, 10951. (2023)

https://doi.org/10.3390/sym12091424

Privacy-Preserving Synthetic Data Generation Method for IoT-Sensor Network IDS Using CTGAN (IF 3.4, Q2)

Sensors 24 (22), 7389. (2024)

https://doi.org/10.3390/s24227389

Enhancing deep learning-based side-channel analysis using feature engineering in a fully simulated IoT system (IF 7.5, Q1)

Expert Systems with Applications, 126079. (2024)

https://doi.org/10.1016/j.eswa.2024.126079

Publications

Advanced Side-Channel Evaluation Using Contextual Deep Learning-Based Leakage Modeling (IF 6.6, Q1)

Expert Systems with Applications, 126079. (2024)

https://doi.org/10.1016/j.eswa.2024.126079

Designing an integrated AI platform using containerized infrastructure

Korean Smart Security Society (2024)

Skeleton-based real-time self-harm and suicidal behavior detection study

Korean Smart Security Society (2024)

Conferences

Pseudo-labeling for Deep Learning-Based Side-Channel Disassembly Using Contextual Layer and Feature Engineering

Graduate School Poster Fair, Masil Lounge (2024)

Events