Cheung Chung Ming

I am a PhD student at the Department of Computer Science USC.
My advisor is Professor Viktor Prasanna.

I received my Bachelor's Degree in Computer Engineering from the University of Hong Kong.
I started working towards my PhD degree in Fall 2014.

I am a student of the Data Science Lab of the p-group lead by Dr. Viktor Prasanna. My research interests are applying machine learning techniques to solve challenges in different domains. I have worked on projects under the CiSoft (Center for Interactive Smart Oilfield Technologies), in which I have explored the use of neural networks to improve efficiency of operations in the oilfields.

Email: chungmin@usc.edu

Publications

Chung Ming Cheung, Rajgopal Kannan, Viktor K. Prasanna, "Temporal Ensemble Learning of Univariate Methods for Short Term Load Forecasting," IEEE Innovative Smart Grid Technologies, 2018.

Cheung, Chung Ming, Palash Goyal, Viktor K. Prasanna, and Arash Saber Tehrani, "OReONet: Deep convolutional network for oil reservoir optimization," IEEE International Conference on Big Data (Big Data) 2017, pp. 1277-1282, 2017.

Chung Ming Cheung, Palash Goyal, Arash Saber Tehrani, Viktor K. Prasanna, “Deep Learning for Steam Job Candidate Selection,” 
accepted as ePoster at SPE Annual Technical Conference and Exhibition (ATCE), 2017

Misyrlis, Michail, Chung Ming Cheung, Ajitesh Srivastava, Rajgopal Kannan, and Viktor Prasanna, "Spatio-Temporal Modeling of Criminal Activity," Proceedings of the 2nd International Workshop on Social Sensing, pp. 3-8. ACM, 2017.

Chung Ming Cheung, Palash Goyal, Greg Harris, Om Patri, Ajitesh Srivastava, Yinuo Zhang, Anand Panangadan et al, "Rapid Data Integration and Analysis for Upstream Oil and Gas Applications," SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, 2015.

Chung Ming Cheung, Yinuo Zhang, Anand Panangadan, and Viktor K. Prasanna, "Computational Cost of Querying for Related Entities in Different Ontologies," Information Reuse and Integration (IRI), 2015 IEEE International Conference on, pp. 534-541. IEEE, 2015.