Publications

Khan, S. M., Chowdhury, M., Ngo, L. B., & Apon, A. (2020). Multi-class Twitter Data Categorization and Geocoding with a Novel Computing Framework. Cities, 26, 102410.

Ngo, L. B., Cui, L., Chen ,S. (2019, April). Computing Infrastructures to Support Cybersecurity Education. In Proceedings of the 34th Annual Spring Conference of the Pennsylvania Computer and Information Science Educators (PACISE).

DeFever, R. S., Hanger, W., Sarupria, S., Kilgannon, J., Apon, A. W., & Ngo, L. B. (2019, July). Building A Scalable Forward Flux Sampling Framework using Big Data and HPC. In Proceedings of the Practice and Experience in Advanced Research Computing Conference Series: Rise of the Machines (learning) (pp. 1-8). ACM.

Ngo, L. B., & Denton, J. (2019). Using CloudLab as a Scalable Platform for Teaching Cluster Computing. Journal of Computational Science, 10(1).

Khan, S. M., Chowdhury, M, & Ngo, L. B. (2018). Non-real-time Transportation Applications: Potential Use of Connected Vehicle Data and Data Infrastructure Requirements. Journal of Infrastructure Systems, 25(1).

Ngo, L. B., Srinath, A. T., Denton, J., & Ziolkowski, M. (2018). Unifying computing resources and access interface to support parallel and distributed computing education. Journal of Parallel and Distributed Computing. 118, 201-212.

Du, Y., Chowdhury, M., Rahman, M., Dey, K., Apon, A., Luckow, A., & Ngo, L. B. (2018). A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications. IEEE Transactions on Intelligent Transportation Systems, 19(3), 787-801.

Anderson, J., Gropp, C., Ngo, L. B., & Apon, A. (2017, May). Random access in nondelimited variable-length record collections for parallel reading with Hadoop. In Integrated Network and Service Management (IM), 2017 IFIP/IEEE Symposium on (pp. 965-970). IEEE.

Khan, S. M., Ngo, L. B., Morris, E. A., Dey, K., & Zhou, Y. (2017). Social Media Data in Transportation. Data Analytics for Intelligent Transportation Systems (pp. 263-281). Elsevier

Ngo, L. B. (2017). Data Science Tools and Techniques to Support Data Analytics in Transportation Applications. Data Analytics for Intelligent Transportation Systems (pp. 69-90). Elsevier

Lantz, K., Khan, S., Ngo, L. B., Chowdhury, M., Donaher, S., & Apon, A. (2015). Potentials of online media and location-based big data for urban transit networks in developing countries. Transportation Research Record: Journal of the Transportation Research Board, (2537), 52-61.

Apon, A. W., Ngo, L. B., Payne, M. E., & Wilson, P. W. (2015). Assessing the effect of high performance computing capabilities on academic research output. Empirical Economics, 48(1), 283-312.

Hanger, W., DeFever, R. S., Ngo, L. B., Apon, A., & Sarupria, S. (2015, November). Scalable Forward Flux Sampling, ScaFFS: Software platform to study rare events in molecular simulations. In SC15 Workshop: Producing High Performance and Sustainable Software for Molecular Simulation. SC.

Apon, A., Herzog, A., Ngo, L. B., Payne, M.E., & Wilson, P.W. (2015, September). A Punctuated Equilibrium Theory of Investment in High-Performance Computing.” In Atlanta Conference on Science and Innovation Policy. September 2015.

Ngo, L. B., Payne, M. E., Villanustre, F., Taylor, R., & Apon, A. W. (2015, June). Dynamic Provisioning of Data Intensive Computing Middleware Frameworks: A Case Study. In Proceedings of the 1st Workshop on The Science of Cyberinfrastructure: Research, Experience, Applications and Models (pp. 3-10). ACM.

Payne, M. E., Ngo, L. B., Villanustre, F., & Apon, A. W. (2014, October). Managing the academic data lifecycle: A case study of HPCC. In Big Data (Big Data), 2014 IEEE International Conference on (pp. 22-30). IEEE.

Anderson, J. W., Kennedy, K. E., Ngo, L. B., Luckow, A., & Apon, A. W. (2014, October). Synthetic data generation for the internet of things. In Big Data (Big Data), 2014 IEEE International Conference on (pp. 171-176). IEEE.

Ngo, L. B., Duffy, E. B., & Apon, A. W. (2014, May). Teaching HDFS/MapReduce systems concepts to undergraduates. In Parallel & Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE International (pp. 1114-1121). IEEE.

Payne, M. E., Ngo, L. B., & Apon, A. W. (2013, October). Academic publishing as a social media paradigm. In ig Data, 2013 IEEE International Conference on (pp. 9-12). IEEE.

Moody, W. C., Ngo, L. B., Duffy, E., & Apon, A. (2013, September). JUMMP: Job uninterrupted maneuverable mapreduce platform. In Cluster Computing (CLUSTER), 2013 IEEE International Conference on (pp. 1-8). IEEE.

Apon, A. W., Ngo, L. B., Payne, M. E., & Wilson, P. W. (2013, September). “Efficiency as a Measure of Knowledge Production of Research Universities. In Proceedings of the Atlanta Conference on Science and Innovation of Science Policy.

Ngo, L. B., Dantuluri, V., Stealey, M., Ahalt, S., & Apon, A. (2012, April). An architecture for mining and visualization of us higher educational data. In Information Technology: New Generations (ITNG), 2012 Ninth International Conference on (pp. 783-789). IEEE.

Ngo, L. B., Apon, A., & Hoffman, D. (2012, April). An Empirical Study on Forecasting using Decomposed Arrival Data of an Enterprise Computing System. In Information Technology: New Generations (ITNG), 2012 Ninth International Conference on (pp. 756-763). IEEE.

Apon, A., Ahalt, S., Dantuluri, V., Gurdgiev, C., Limayem, M., Ngo, L. B., & Stealey, M. (2010). High performance computing instrumentation and research productivity in US universities. Journal of Information Technology Impact, 10(2), 87-98.

Ngo, L. B., Apon, A., & Hoffman, D. (2010, April). A forecasting capability study of empirical mode decomposition for the arrival time of a parallel batch system. In Information Technology: New Generations (ITNG), 2010 Seventh International Conference on (pp. 420-425). IEEE.

Hoffman, D. L., Apon, A., Dowdy, L., Lu, B., Hamm, N., Ngo, L. B., & Bui, H. (2009). Performance Modeling of Enterprise Grids. In Data Engineering (pp. 169-201). Springer, Boston, MA.

Lu, B., Ngo, L. B., Bui, H., Apon, A., Hamm, N., Dowdy, L., … & Brewer, D. (2008, December). Workload Modeling for Performance Management. In Int. CMG Conference (pp. 229-240).

Lu, B., Ngo, L. B., Bui, H., Apon, A., Hamm, N., Dowdy, L., … & Brewer, D. (2008, March). Capacity Planning of Supercomputing Resources in an Academic Environment: A Case Study. In The Seventh Annual Conference on Applied Research in Information Technology (p. 45).

Ngo, L. B., & Apon, A. W. (2007). Shibboleth as a Tool for Authorized Access Control to the Subversion Repository System. Journal of Software, 2(3), 78-86.

Ngo, L. B., & Apon, A. (2007, April). Using shibboleth for authorization and authentication to the subversion version control repository system. In Information Technology, 2007. ITNG’07. Fourth International Conference on (pp. 760-765). IEEE.

Posters

Rahman, M., Du, Y., Ngo, L. B., Apon, A., & Chowdhury, M. “An Innovative Way to Manage Data for Connected Vehicle Applications.” Poster presented at Transportation Research Board 95th Annual Meeting, January 2016.

Liang, M., Trejo, C., Muthu, L., Ngo, L. B., Luckow, A., and Apon, A. “Evaluating R-based Big Data Analytic Frameworks.” Poster presented at the IEEE International on Cluster Computing, September 2015.

Tinker, M., Ngo, L. B., Apon, A., Johnston, B. and Winters, S. “Exploiting the Grid: Distributed Rendering,” Poster presented at the Oklahoma Supercomputing Symposium, October 2004.

Xuan, P., Ferguson, K., Marshall, C., McCann, J., Ngo, L. B., Zheng, Y., & Apon, A. (2012, October). An infrastructure to support data integration and curation for higher educational research. In Proc. 8th IEEE International Conference on e-Science, Chicago (pp. 8-12).

Ahalt, S., Apon, A., Dantuluri, V., Ngo., L. B., Stealey, M. (2010, March). “Where are the U.S. Academic Supercomputers?” Poster presented at Linux Cluster Institute (LCI) International Conference on High Performance Cluster Computing, Pittsburch, PA.