- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
CakeResume Talent Search
The Most Lightweight and Effective Recruiting Plan
Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.
- Browse all search results
- Unlimited access to start new conversations
- Resumes accessible for only paid companies
- View users’ email address & phone numbers
Definition of Reputation Credits
張暐翔
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.
工作經歷
Master's Thesis
CCU CSIE***.** (JUL 2023 - Present)*
- Developed an automated event extraction framework to enhance CTI extraction with risk analysis by analyzing dark web content.
- Overcame challenges presented by varied web designs and CAPTCHA systems on dark web forums and markets through advanced HTML preprocessing techniques.
- Conducted a comprehensive evaluation of the extracted CTI's novelty, relevance, and utility, including its timeliness and coverage gap compared to existing intelligence, using custom assessment criteria for risk evaluation.
- Utilized GPT-4 for sentence-level keyword extraction to identify cyber threat intelligence (CTI) from the dark web.
- Trained the CyNER dataset using Mitre ATT&CK and custom datasets for accurate cybersecurity-related data tagging.
Summer Intern
Wistron NeWeb Corporation. (Jul 2023 - Aug 2023)
- Analyzed and integrated MTK and QTI RIL architectures, creating a unified interface for enhanced interoperability.
- Designed common interface RIL call flow, including dispatch and response functions, to fit within Qualcomm's one-client framework.
- Integrated “libwnc.so”middleware to bridge common interface with Qualcomm's RILMUXD while preserving original framework integrity.
- Developed a demo application to demonstrate the new RIL call flow, handling RIL requests and responses effectively.
- Implemented TTY modes (FULL, HCO, VCO, OFF) on Qualcomm SA525M, improving accessibility for users with hearing or speech impairments.
- Conducted device and software maintenance, including regular version checks and updates, to ensure optimal performance.
Web Master
CCU Office of Information and Technology***.** (May 2020 - Present)*
- Managed the dormitory network traffic through Cacti, ensuring efficient network usage for all residents.
- Maintained the Content Management System of CCU VACS, ensuring timely updates and efficient operation.
- Designed and implemented a new VACS web page using Web Integration.
- Updated the printer system and maintained data records for smooth operation.
- Designed and developed a web page for wifi monitoring.
- Streamlined document and file management processes for enhanced efficiency.
- Ensure the proper functionality of software in VACS and conduct regular version checks to guarantee optimal performance.
Programing Language Teaching Assistant
CCU CSIE***.** (SEP 2020 - JUN 2021)*
- Assisted the professor in teaching programming language concepts through small lectures and live demos.
- Frequent check-ins with students in the class, to identify what students are working on and how to support their learning.
- Created a fun and engaging atmosphere for learning, promoting student participation and interaction.
- Provided support to students through check-ins, code reviews, and answering questions via CCU ecourse2 and email.
- Offered feedback to the professor to improve course content and delivery.
- Graded student exams to ensure fair and accurate evaluation.
- Establishing a program to support underperforming students academically
Undergraduate Senior Project
CCU CSIE***.** (Dec 2021 - JUN 2023)*
- Utilized Federated Learning to solve machine learning's privacy problem and employed Homomorphic Encryption(pyEva) to ensure safety in the training process.
- Developed a new method, SecKpca, to reduce the impact of malicious users in the kernel principal component analysis (KPCA) model.
- Extended the KPCA model to backdoor attacks, enhancing the model's robustness.
- Experienced in accelerating Homomorphic Encryption by using Intel Hexl.
- Researched and presented findings on Federated Learning at the 2022 TANET National Conference.
學歷
國立中正大學(National Chung Cheng University)
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.
國立中正大學 National Chung Cheng University
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.
技能
Network Security
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.
Network Traffic Detection
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.
Program Design
Languages: C / C++, Python, Java
Familiarity with Visual Studio Code, Code Blocks for software development
Knowledgeable in object-oriented programming concepts and design patterns.
Machine Learning
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.
Image Processing
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.
語言
- Chinese — 母語或雙語
- English — 進階
張暐翔
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.
工作經歷
Master's Thesis
CCU CSIE***.** (JUL 2023 - Present)*
- Developed an automated event extraction framework to enhance CTI extraction with risk analysis by analyzing dark web content.
- Overcame challenges presented by varied web designs and CAPTCHA systems on dark web forums and markets through advanced HTML preprocessing techniques.
- Conducted a comprehensive evaluation of the extracted CTI's novelty, relevance, and utility, including its timeliness and coverage gap compared to existing intelligence, using custom assessment criteria for risk evaluation.
- Utilized GPT-4 for sentence-level keyword extraction to identify cyber threat intelligence (CTI) from the dark web.
- Trained the CyNER dataset using Mitre ATT&CK and custom datasets for accurate cybersecurity-related data tagging.
Summer Intern
Wistron NeWeb Corporation. (Jul 2023 - Aug 2023)
- Analyzed and integrated MTK and QTI RIL architectures, creating a unified interface for enhanced interoperability.
- Designed common interface RIL call flow, including dispatch and response functions, to fit within Qualcomm's one-client framework.
- Integrated “libwnc.so”middleware to bridge common interface with Qualcomm's RILMUXD while preserving original framework integrity.
- Developed a demo application to demonstrate the new RIL call flow, handling RIL requests and responses effectively.
- Implemented TTY modes (FULL, HCO, VCO, OFF) on Qualcomm SA525M, improving accessibility for users with hearing or speech impairments.
- Conducted device and software maintenance, including regular version checks and updates, to ensure optimal performance.
Web Master
CCU Office of Information and Technology***.** (May 2020 - Present)*
- Managed the dormitory network traffic through Cacti, ensuring efficient network usage for all residents.
- Maintained the Content Management System of CCU VACS, ensuring timely updates and efficient operation.
- Designed and implemented a new VACS web page using Web Integration.
- Updated the printer system and maintained data records for smooth operation.
- Designed and developed a web page for wifi monitoring.
- Streamlined document and file management processes for enhanced efficiency.
- Ensure the proper functionality of software in VACS and conduct regular version checks to guarantee optimal performance.
Programing Language Teaching Assistant
CCU CSIE***.** (SEP 2020 - JUN 2021)*
- Assisted the professor in teaching programming language concepts through small lectures and live demos.
- Frequent check-ins with students in the class, to identify what students are working on and how to support their learning.
- Created a fun and engaging atmosphere for learning, promoting student participation and interaction.
- Provided support to students through check-ins, code reviews, and answering questions via CCU ecourse2 and email.
- Offered feedback to the professor to improve course content and delivery.
- Graded student exams to ensure fair and accurate evaluation.
- Establishing a program to support underperforming students academically
Undergraduate Senior Project
CCU CSIE***.** (Dec 2021 - JUN 2023)*
- Utilized Federated Learning to solve machine learning's privacy problem and employed Homomorphic Encryption(pyEva) to ensure safety in the training process.
- Developed a new method, SecKpca, to reduce the impact of malicious users in the kernel principal component analysis (KPCA) model.
- Extended the KPCA model to backdoor attacks, enhancing the model's robustness.
- Experienced in accelerating Homomorphic Encryption by using Intel Hexl.
- Researched and presented findings on Federated Learning at the 2022 TANET National Conference.
學歷
國立中正大學(National Chung Cheng University)
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.
國立中正大學 National Chung Cheng University
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.
技能
Network Security
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.
Network Traffic Detection
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.
Program Design
Languages: C / C++, Python, Java
Familiarity with Visual Studio Code, Code Blocks for software development
Knowledgeable in object-oriented programming concepts and design patterns.
Machine Learning
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.
Image Processing
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.
語言
- Chinese — 母語或雙語
- English — 進階