Pc. Ng is just an ordinary Ph.D. student, who is dedicated to proximity-related research, nothing great in her profile is worth a long essay here. Nonetheless, I would still list down my research interests and current research areas in line with the research directions of my lab. If you would like to know more about me, you can always check out my boring stories in life and interests. So, here it goes: my research interests including but not limited to (1) beacon-related IoT development, (2) wireless/radio signal processing via compressive sensing and deep learning, (3) beacon-based proximity services, (4) context-aware and multimedia interactive applications for the smart city.
Most of all, I am deeply into the proximity-related research. I believe a better understanding of “proximity” from sociological and technological aspects is going to shed light on many research areas including proximity-based social networking, proximity communication, proximity multimedia application, proximity computing, proximity data offloading, etc. If you share the same vision or get inspired, let’s work things out together!
Below you can find a list of ongoing research projects. A list of publications is included, feel free to send me an email if you got any comments.
P. C. Ng, J. She, K.E. Jeon and M. Baldauf, “When Smart Devices Interact with Pervasive Screens: A Survey,” ACM Trans. Multimedia Comput. Commun. Appl. 13, 4, Article 55, August 2017, pp. 1-23.
P. C. Ng, J. She and S. Park, “Notify-and-interact: A beacon-smartphone interaction for user engagement in galleries,” 2017 IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, 2017, pp. 1069-1074.
P. C. Ng, L. Zhu, J. She, R. Ran and S. Park, “Beacon-based proximity detection using compressive sensing for sparse deployment,” 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Macau, 2017, pp. 1-6.
P. C. Ng, J. She, M. Cheung and A. Cebulla, “An Images-Textual Hybrid Recommender System for Vacation Rental,” 2016 IEEE Second International Conference on Multimedia Big Data (BigMM), Taipei, 2016, pp. 60-63.
To be added in the future, probably together with your contribution.