Taichung City, Taiwan
0966460395
[email protected]
As a dedicated Computer Science student with a specialization in Machine Learning and Network Security, my core competencies lie in the intricacies of operating systems, the nuances of cybersecurity, advanced program design, and the application of machine learning algorithms. Fueled by an insatiable drive for innovation and an unwavering commitment to excellence, I seek to engage with a technologically advanced environment that not only challenges my capabilities but also offers opportunities for growth and contribution at the forefront of the technology sector.
CCU CSIE***.** (JUL 2023 - Present)*
Wistron NeWeb Corporation. (Jul 2023 - Aug 2023)
CCU Office of Information and Technology***.** (May 2020 - Present)*
CCU CSIE***.** (SEP 2020 - JUN 2021)*
CCU CSIE***.** (Dec 2021 - JUN 2023)*
Computer Science and Information Engineering • 2023 - 2024
As a dedicated Computer Science student with a specialization in Machine Learning and Network Security, my core competencies lie in the intricacies of operating systems, the nuances of cybersecurity, advanced program design, and the application of machine learning algorithms. Fueled by an insatiable drive for innovation and an unwavering commitment to excellence, I seek to engage with a technologically advanced environment that not only challenges my capabilities but also offers opportunities for growth and contribution at the forefront of the technology sector.
Computer Science and Information Engineering • 2019 - 2023
I am a highly motivated computer science student with a focus on machine learning and network security. My skills and experience include image processing, network traffic detection, program design, and machine learning. As an innovative and creative individual, I am always seeking opportunities to learn and innovate. I am looking for a challenging and innovative environment to apply my skills and knowledge to further my career in the technology industry.
Languages: Python
Explored the dark web using Selenium for cyber threat intelligence gathering, achieving effective data extraction.
Applied GPT-4 and CyNER for keyword extraction and entity recognition, extracting critical cybersecurity information from the dark web.
Developed an event classification and risk analysis framework to evaluate dark web threats, focusing on event severity and defense costs.
Integrated extracted intelligence into existing CTI databases, enhancing cybersecurity defenses with timely, accurate intelligence.
Utilized TF-IDF, RAKE, and machine learning for automated dark web content analysis, improving threat intelligence accuracy.
Experience in network traffic analysis using tools such as File Zilla and Cacti.
Experienced in configuring and managing network switches, including Cisco 9500 series switches.
Languages: C / C++, Python, Java
Familiarity with Visual Studio Code, Code Blocks for software development
Knowledgeable in object-oriented programming concepts and design patterns.
Languages: C++, Python
Experienced in applying machine learning algorithms to solve problems, with a focus on federated learning and homomorphic encryption.
Knowledgeable in popular machine learning libraries, such as TensorFlow and PyTorch.
Presented a research project on federated learning at a national conference(2022 TANET).
Completed a master’s project using CyNER to extract CTI(Cypher Threat Intelligence) from the dark web.
Completed a master's thesis project that utilized CyNER and GPT-4 for the dynamic extraction and analysis of Cypher Threat Intelligence (CTI) from the dark web, illustrating innovative strategies in cybersecurity.
Languages: C / C++, Python, Matlab
Skilled in image processing techniques, including image sharpening, image enhancement, and edge detection.
Proficient in using MATLAB for image processing tasks.
Taichung City, Taiwan
0966460395
[email protected]
As a dedicated Computer Science student with a specialization in Machine Learning and Network Security, my core competencies lie in the intricacies of operating systems, the nuances of cybersecurity, advanced program design, and the application of machine learning algorithms. Fueled by an insatiable drive for innovation and an unwavering commitment to excellence, I seek to engage with a technologically advanced environment that not only challenges my capabilities but also offers opportunities for growth and contribution at the forefront of the technology sector.
CCU CSIE***.** (JUL 2023 - Present)*
Wistron NeWeb Corporation. (Jul 2023 - Aug 2023)
CCU Office of Information and Technology***.** (May 2020 - Present)*
CCU CSIE***.** (SEP 2020 - JUN 2021)*
CCU CSIE***.** (Dec 2021 - JUN 2023)*
Computer Science and Information Engineering • 2023 - 2024
As a dedicated Computer Science student with a specialization in Machine Learning and Network Security, my core competencies lie in the intricacies of operating systems, the nuances of cybersecurity, advanced program design, and the application of machine learning algorithms. Fueled by an insatiable drive for innovation and an unwavering commitment to excellence, I seek to engage with a technologically advanced environment that not only challenges my capabilities but also offers opportunities for growth and contribution at the forefront of the technology sector.
Computer Science and Information Engineering • 2019 - 2023
I am a highly motivated computer science student with a focus on machine learning and network security. My skills and experience include image processing, network traffic detection, program design, and machine learning. As an innovative and creative individual, I am always seeking opportunities to learn and innovate. I am looking for a challenging and innovative environment to apply my skills and knowledge to further my career in the technology industry.
Languages: Python
Explored the dark web using Selenium for cyber threat intelligence gathering, achieving effective data extraction.
Applied GPT-4 and CyNER for keyword extraction and entity recognition, extracting critical cybersecurity information from the dark web.
Developed an event classification and risk analysis framework to evaluate dark web threats, focusing on event severity and defense costs.
Integrated extracted intelligence into existing CTI databases, enhancing cybersecurity defenses with timely, accurate intelligence.
Utilized TF-IDF, RAKE, and machine learning for automated dark web content analysis, improving threat intelligence accuracy.
Experience in network traffic analysis using tools such as File Zilla and Cacti.
Experienced in configuring and managing network switches, including Cisco 9500 series switches.
Languages: C / C++, Python, Java
Familiarity with Visual Studio Code, Code Blocks for software development
Knowledgeable in object-oriented programming concepts and design patterns.
Languages: C++, Python
Experienced in applying machine learning algorithms to solve problems, with a focus on federated learning and homomorphic encryption.
Knowledgeable in popular machine learning libraries, such as TensorFlow and PyTorch.
Presented a research project on federated learning at a national conference(2022 TANET).
Completed a master’s project using CyNER to extract CTI(Cypher Threat Intelligence) from the dark web.
Completed a master's thesis project that utilized CyNER and GPT-4 for the dynamic extraction and analysis of Cypher Threat Intelligence (CTI) from the dark web, illustrating innovative strategies in cybersecurity.
Languages: C / C++, Python, Matlab
Skilled in image processing techniques, including image sharpening, image enhancement, and edge detection.
Proficient in using MATLAB for image processing tasks.