Chien-Cheng Wu

I am a Ph.D. specializing in the intersection of Reinforcement Learning, Optimization, and Cyber-Physical Systems. My research focused on devising learning-based methods to optimize complex data flows and enhancing system services with heightened safety, autonomy, and intelligence. Prior to my transition to research, I pursued a career as a senior software engineer. In this role, I led software development initiatives across diverse platforms, including ARM and x86 architectures, utilizing programming languages such as C, C++, and Python within Linux environments. This experience significantly fortified my proficiency in communication protocols, laying the groundwork for advancements in Computer Vision services and SoC/MCU applications. My professional trajectory has been characterized by a rich blend of theoretical knowledge and hands-on experience, fostering expertise in device drivers and CI/CD toolchains. Equipped with adept project management skills, I have demonstrated the ability to oversee complex projects, ensuring seamless project deliveries. As I navigate academic rigor and industry experience, I am keen on leveraging my diverse skill set to spearhead innovations and drive technological advancements in my future endeavors.

Published Works

Paper

Chien-Cheng Wu, Vasilis Friderikos, et al., "Multi-Objective Provisioning of Network Slices using Deep RL," Arxiv, 2022 [Web]

Chien-Cheng Wu, Z. H Tan, C. Stefanovic, "AoI and Throughput Optimization for Hybrid Traffic in Cellular Uplink Using Reinforcement Learning," 2022 IEEE 94th Vehicular Technology Conference Workshop, Helsinki, Finland, 2022 [Web]

Chien-Cheng Wu, P. Popovski, Z. H Tan, C. Stefanovic, "Design of AoI-Aware 5G Uplink Scheduler Using Reinforcement Learning," Proceeding of IEEE 4th 5G World Forum, Montreal, Canada, 2021 [Web]

Chien-Cheng Wu, "A Survey for Real-Time Network Performance Measurement via Machine Learning," Arxiv, 2020 [Web]

Chien-Cheng Wu, L. Tung, C. Lin, B. P. Lin and Y. Tseng, "On local cache management strategies for Mobile Augmented Reality," Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, Sydney, NSW, 2014, pp. 1-3. [Web]

Patent

Chien-Cheng Wu (2016). Method and Device of Group Based on MTC in Communication System, US Patent. [Web]

Chien-Cheng Wu (2015). MTC Devices, Service Networks & Methods for Configuring Periodic Update Timers, US Patent. [Web]

L-W Chen, Chien-Cheng Wu, Y-C Tseng (2012). Positioning Method for Long-thin Fleet, US Patent. [Web]

Software Development

Distributed Multi-Agent Reinforcement Learning framework.

Code examples for a convex optimization software package.

NS3 network simulator for Machine Learning.