Education
Georgia Institute of Technology
2023 - PresentMaster of Science in Computer Science · Atlanta, GA
Focus Areas
- Computing Systems: Operating systems, compilers, and systems architecture
- Machine Learning: Statistical learning, deep learning, and reinforcement learning
University of Houston
Aug 2013 - May 2017PhD Candidate in Computer Science · Houston, TX
Research Focus
- Distributed Computing: MapReduce optimization and parallel processing algorithms
- Mobile Security: Android application security analysis and vulnerability detection
- Big Data Systems: Scalable data processing frameworks and performance optimization
Teaching Experience
As a Teaching Assistant, I had the privilege of educating and mentoring over 180 students across multiple core computer science courses:
Data Structures and Algorithms (28 students)
- Taught fundamental algorithms and complexity analysis
- Guided students through hands-on programming assignments
Computer Architecture (78 students)
- Explained CPU design, memory hierarchy, and instruction sets
- Supervised lab sessions on assembly programming
Software Design (40 students)
- Introduced design patterns and software architecture principles
- Mentored team projects using agile methodologies
Introduction to Computer Science (35 students)
- Taught programming fundamentals in Python and Java
- Helped students develop problem-solving skills
Research Contributions
- Published papers on MapReduce optimization techniques
- Developed security analysis tools for Android applications
- Contributed to open-source distributed computing projects
National Taiwan University
Sept 2010 - June 2013Master of Science in Computer Science · Taipei, Taiwan
Specialization Areas
- Distributed Systems: Consensus algorithms, fault tolerance, and system design
- Computer Security: Cryptography, network security, and secure coding practices
- Cloud Computing: Virtualization technologies and cloud architecture
Academic Achievements
- Graduate Research Assistant in the Distributed Systems Lab
- Thesis: “Efficient Resource Allocation in Cloud Computing Environments”
- GPA: 3.8/4.0
Key Coursework
- Advanced Operating Systems
- Distributed Database Systems
- Network Security
- Machine Learning
- Parallel Computing
Continuous Learning #
Beyond formal education, I maintain a commitment to continuous learning through:
- Online Courses: Coursera, Udacity, and edX certifications
- Technical Conferences: Regular attendance at AWS re:Invent, KubeCon, and Spark Summit
- Professional Development: AWS certification programs and specialized training
- Community Involvement: Local tech meetups and hackathons
There are no articles to list here yet.