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College of Engineering, Computer Science & Construction Management

MS in Computer Science

Program Highlights

Arpit Shah worked with Dr. Elena Harris performing data analysis for her research on Zebrafish.  He is a coauthor on one of her papers:

Campbell, T. Su, R. P. Lau, A. Shah, P. C. Laurie, B. Avalos, J. Aggio, E. Harris, D. Traver, D. L. Stachura, “Zebrafish embryonic stromal trunk (ZEST) cells support hematopoietic stem and progenitor cell (HSPC) proliferation, survival, and differentiation”, Experimental Hematology, pii: So301-472X(15)00662-1, 2015. DOI: 10.1016/j.exphem.2015.09.001 (Impact factor: 2.475) http://www.ncbi.nlm.nih.gov/pubmed/26391449

Four graduate students working the Dr. Jaime Raigoza published papers in the 2016 International Conference on Computational Science and Computational Intelligence (CSCI'16):


Raigoza, J. & Wankhede, D., Publishing Student Grades while Preserving Individual Information using Bayesian Networks. International Conference on Computational Science and Computational Intelligence (CSCI), pp. 1399-1400, Las Vegas, USA, IEEE Xplore, December 15-17, 2016.

Raigoza, J. & Jituri, K., Evaluating Performance of Symmetric Encryption Algorithms. International Conference on Computational Science and Computational Intelligence (CSCI), pp. 1378-1381, Las Vegas, USA, IEEE Xplore, December 15-17, 2016.

Raigoza, J. & Thakkar, R., Browser Performance of JavaScript Framework, SAPUI5 & jQuery. International Conference on Computational Science and Computational Intelligence (CSCI), pp. 1420-1421, Las Vegas, USA, IEEE Xplore, December 15-17, 2016.

Raigoza, J. & Parmar, V., Research the Data Analysis and Processing Comparison between MapReduce and Spark. International Conference on Computational Science and Computational Intelligence (CSCI), pp. 1401-1402, Las Vegas, USA, IEEE Xplore, December 15-17, 2016.

Vikrantsinh Karande worked with Dr. Raigoza on an cloud based movie recommendation system.  They published their work in the International Journal of Grid and High Performance Computing:

Raigoza, J. & Karande, V., A Study and Implementation of a Movie Recommendation System in a Cloud-based Environment. International Journal of Grid and High-Performance Computing (IJGHPC), Volume 9, Issue 1, 2017.

Four students  participated at the American Association for the Advancement of Science (AAAS) Research Poster competition, Boston February 18-19, 2017:

Kshitija Karkar, PREDICTION OF STUDENT SUCCESS RATE USING NAIVE BAYES

Priyanka Chordia, IMPACTS OF SOFTWARE ENGINEERING PROJECT PREFERENCES ON STUDENT MOTIVATION

Rahul Gaikwad, EXPERIMENTAL EVALUATION OF SHORTEST PATH ALGORITHMS - DIJKSTRA VS BELLMAN FORD

Akshay Gore, FINANCIAL FRAUD DETECTION USING COSINE SIMILARITY