Research Updates from the College’s Department of Computer Science

The College’s Department of Computer Science was quite busy publishing papers in the first of 2017. Below is an overview of what was published!

Dr. Qin Ding, East Carolina University

 

Qin Ding and R. Boykin, “A Framework for Distributed Nearest Neighbor Classification Using Hadoop,” Journal of Computational Methods in Science and Engineering, vol. 17, no. S1, pp. S11-S19, 2017. http://content.iospress.com/articles/journal-of-computational-methods-in-sciences-and-engineering/jcm676

 

 

 

Dr. Sergiy Vilkomir, East Carolina University

 

Sergiy Vilkomir,”Multi-device coverage testing of mobile applications,” Software Quality Journal (2017), Springer, pp. 1–19, DOI: 10.1007/s11219-017-9357-7. https://link.springer.com/article/10.1007/s11219-017-9357-7

 

 

 

 

Dr. Mark Hills, East Carolina University

 

Mark Hills, P. Klint, and J. Vinju, “Enabling PHP software engineering research in Rascal,” Science of Computer Programming, Volume 134, Issue 1, pp. 37–46, Elsevier, February 2017. https://doi.org/10.1016/j.scico.2016.05.003

 

 

 

 

Dr. Junhua Ding, East Carolina University

Dr. Venkat Gudivada

 

Junhua Ding, X. Hu, Venkat Gudivada, “A Machine Learning-Based Framework for Verification and Validation of Massive Scale Image Data,” IEEE Transactions on Big Data, March 2017. DOI: 10.1109/TBDATA.2017.2680460. http://ieeexplore.ieee.org/document/7875094/

 

 

 

H. Sharghi and Kamran Sartipi, “An Expressive Event-based Language for Representing User Behavior Patterns,” Journal of Intelligent Information Systems (JIIS), Springer, 2017, pp. 1-25, DOI: 10.1007/s10844-017-0456-5. https://link.springer.com/article/10.1007/s10844-017-0456-5

 

 

Wang, J. Liu, J.Q. Lu, Junhua Ding, X. Hu, “Resolving power of diffraction imaging with an objective: a numerical study,” Optics Express, May 2017, Vol. 25, Issue 9, pp. 9628-9633, DOI: 10.1364/OE.25.009628. https://www.ncbi.nlm.nih.gov/pubmed/28468345

Venkat Gudivada, A. Apon, and Junhua Ding, “Data Quality Considerations for Big Data and Machine Learning: Going Beyond Data Cleaning and Transformations,” International Journal on Advances in Software, Vol. 10, no. 1&2, June 2017.

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