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Exploring Smart Grid Technology and Mobile Social Networking Advances

This course covers cutting-edge topics including Smart Grid energy management, mobile social networking, and the economics of wireless networks. Students will learn the fundamentals of Smart Grid technologies, analyze energy usage data, and explore innovative solutions for solar energy utilization. Additionally, they will develop mobile social networking applications to enhance business and social interactions. Key focus areas include mathematics, programming, and experimental analysis as students collaborate with senior researchers in the Network Communications & Economics Lab to drive impactful research and applications.

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Exploring Smart Grid Technology and Mobile Social Networking Advances

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  1. FYP Topics for 2014-2015 • Prof. HUANG Jianwei (黄建伟） • Presented by Dr. Michael Cheung • Network Communications & Economics Lab

  2. Energy Management in Smart Grid • Smart Grid enables new energy generation, transportation, storage, and utilization • Need to understand the current energy usage and best ways to improve • Students will • Understand the basics of smart grid • Collect and analyze energy usage data • Propose new ways of reducing energy usage and better utilizing solar energy • Working with senior researchers in NCEL • Math: 20%, Programming: 50%, Experiments/Analysis: 30%

  3. Mobile Social Networking • Social network is very important in daily life. • Mobile social networking enable new business and social functionalities • Students will • Learn the basics of mobile social networking • Create mobile social apps with innovative functionalities • Working with senior researchers in NCEL • Math: 20%, Programming: 50%, Experiments/Analysis: 30%

  4. Economics of Wireless Networks • Wireless data traffic is fast growing • Email, file downloading, and video • Operators are unclear about the economics • What are the “typical” usage patterns? • “Best” way to price service? • Students will • Design smart phone apps to track user behaviors • Design experiments to understand usage patterns • Experiment different incentive mechanisms • Math: 30%, Programming: 40%, Experiments/Analysis: 30%

  5. Student Proposed Topics • A topic of your interests! • Need to be interesting, innovative, and involves substantial amount of work.

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