Members

GOMATHI SRIN

● Email: m1261015@cgu.edu.tw

Gomathi Srinivasan Venkata is a master's student in Artificial Intelligence at Chang Gung University and a member of the Intelligent Cyber-Physical Systems Research Lab. She holds a bachelor’s degree in computer science and engineering, which laid the foundation for their expertise in distributed computing, artificial intelligence, and network management. Her research focuses on service function orchestration in the edge-cloud continuum, utilizing reinforcement learning with multi-agent systems to optimize resource allocation, scalability, and performance in distributed computing environments. By integrating intelligent decision-making mechanisms, Gomathi aims to enhance the adaptability and efficiency of modern cloud and edge infrastructures. Her work contributes to advancing AI-driven network management, tackling key challenges such as latency optimization, dynamic service provisioning, and autonomous orchestration. Passionate about the intersection of AI, reinforcement learning, and distributed computing, Gomathi is committed to developing innovative solutions for next generation computing systems.

Markus Götz

● Email: m1361018@cgu.edu.tw

Hello and welcome, I am Markus a master student in the Artificial Intelligence program at Chang Gung University. Originally, I am from Germany, where I got my bachelor’s degree in computer science at the Baden-Wuerttemberg Cooperative State University (DHBW). My research interests lie at the intersection of Natural Language Processing (NLP), Large Language Models (LLMs), and distributed computing, exploring ways to enhance intelligent and adaptive digital ecosystems. Before joining Chang Gung University, I gained experience working in software development where I got hands-on experience in software engineering, cloud technologies, and data-driven applications, equipping me with a practical understanding of modern computing challenges. As part of the Intelligent Cyber-Physical Systems Research Lab, I engage in research that contributes to the development of more efficient, automated, and scalable computing infrastructures. I am passionate about leveraging AI-driven approaches to push the boundaries of next-generation technologies and autonomous digital systems. Outside of my research, I enjoy working out and going on hikes to stay active, clear my mind and to disconnect from the digital world. Music is another passion of mine, and I find playing the piano both relaxing and rewarding, offering a creative outlet beyond my academic work. I also enjoy chess, which challenges me to think strategically. Each of these activities brings a different kind of balance to my daily life and I appreciate the mix of physical, creative, and mental challenges these activities provide.

Huang Jiao Cheng 黃教丞

● Email: B1128019@gmail.com (Personal: jason921009@gmail.com)

I am a dedicated undergraduate student in the Department of Artificial Intelligence at Chang Gung University, focused on both research and practical applications of deep learning. As part of our LLM and Intelligent microservice orchestration project in this lab, I take the lead in coordinating team tasks, offering technical insights, and managing Edge Intelligence hardware deployment. My core expertise lies in implementing deep learning models and image recognition technologies—particularly YOLO—and I continually explore new ways to leverage these skills for real-world impact. From 2024 to 2025, I am collaborating with Lin Jhe-Heng to develop a “Smart Traffic Analysis System,” which aims to help enterprises optimize vehicle flow. Alongside my AI-driven work, I have hands-on experience with containerization tools such as Docker and Kubernetes, ensuring that our solutions remain scalable and robust.

Additional my technical pursuits, I am also an active contributor in the Chinese orchestra community, serving as a conductor, Erhu (二胡) player, composer, and arranger. Balancing both the analytical and creative aspects of my life allows me to tackle challenges with fresh ideas and a unique perspective.

Lin Jhe-Heng 林哲亨

● Email: B1128011@cgu.edu.tw

Hello! I’m Lin Jhe-Heng, currently studying Artificial Intelligence at Chang Gung University with a focus on Kubernetes (k8s) monitoring and LLM training technologies. I have hands-on experience in deep learning, Python programming, web design, k8s, and Docker. From 2024 to 2025, I am collaborating with Lin Jhe-Heng to develop a “Smart Traffic Analysis System” that assists enterprises in optimizing vehicle flow. I’m also an avid sports lover and captain of the Chang Gung University men’s basketball team. I’m always eager to learn, grow, and contribute to innovative AI projects while staying active and leading my team to new heights.

Lin Hsuan-Chen 林宣辰

● Email: B1128015@cgu.edu.tw

I am Lin Hsuan Chen, an undergraduate student in the Department of Artificial Intelligence at Chang Gung University and a dedicated member of the Intelligent Cyber-Physical Systems Research Lab, actively contributing to the Intelligent Network Service Monitoring Analyzer project in the Intelligent Cyber-Physical Systems Research Lab. My role focuses on integrating machine learning applications with Kubernetes-based deployment, ensuring scalable and efficient service orchestration. With a strong foundation in deep learning model training, I explore ways to optimize AI-driven solutions for edge computing environments. Additionally, I have hands-on experience with cloud technologies, containerization tools like Docker and Kubernetes, and system resource management. Beyond my academic work, I am also passionate about street dancing, which complements my dynamic and problem-solving mindset.

Huang Wei Chieh 黃韋傑

Email: B1128005@cgu.edu.tw

I am currently studying in the Department of Artificial Intelligence at Chang Gung University, specializing in Kubernetes (k8s) system development and monitoring, as well as Natural Language Processing (NLP) technologies. My development experience includes implementing and deploying a CI/CD architecture in a startup company, ensuring efficient and automated software deployment workflows. Beyond academics, I have a deep passion for exploring the world and discovering new things. Traveling and experiencing different cultures inspire me to approach challenges with fresh perspectives, fostering both personal growth and innovative skills.

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