Publications

2018

  • Johnson, Y. Yang, and others, “An Innovative New Approach to Animal Care,” 2018 IEEE Global Humanitarian Technology Conference (GHTC), 8/2018.
  • Ahmed Abdelmoamen and Nadeem Jamali. “A Model for Representing Mobile Distributed Sensing-Based Services.” In Proceedings of the IEEE International Conference on Services Computing (SCC’18), pages 282-286, San Francisco, USA, 2018.
  • Ahmed Abdelmoamen. “A Modular Approach to Programming Multi-Modal Sensing Applications.” In Proceedings of the IEEE International Conference on Cognitive Computing (ICCC ’18), pages 91-98, San Francisco, USA, 2018.
  • Ahmed Abdelmoamen, Dezhong Wang, Nadeem Jamali. “Approaching Actor-Level Resource Control for Akka.” In Proceedings of the IEEE Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP ’18), pages 1-15, Vancouver, Canada, 2018.
  • Williams, R., Frizell, S., Nave, F., & Thompson, A. (2018). Using Experiential and Collaborative Learning to promote Careers in Engineering. To appear in Proceedings of the 2018 ASEE Gulf-Southwest Annual Conference, Austin, TX.

2017

  • Lei Huang, etc., “A scalable deep learning platform for identifying geologic features from seismic attributes,” The Leading Edge journal, March 2017.
  • Ahmed Abdelmoamen, Nadeem Jamali. An Actor-Based Middleware for Crowd-Sourced Services. EAI Endorsed Transactions, vol. 17, pages 1-15, 2017.
  • Ahmed Abdelmoamen, Nadeem Jamali. Opportunistic Sharing of Continuous Mobile Sensing Data for Energy and Power Conservation. IEEE Transactions on Services Computing (TSC), vol. PP, no. 99, pp. 1–14. doi: 10.1109/TSC.2017.2705685, 2017.
  • Ahmed Abdelmoamen, Dezhong Wang, Nadeem Jamali. Supporting Resource Control for Actor Systems in Akka. In Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS ’17), pages 2642–2645, Atlanta, USA, 2017. (Best Poster Award)
  • Darshita Mistry, Yi Zhu, and Lei Huang, “Scalable Intelligent Oilfield Streaming Data Analytics Platform.” The Fifth Digital Oilfield Summit Forum & International Academic Conference (DOSFIAC 2017), Qingdao, China, Oct 16-18, 2017
  • Jack B. Dennis, Lei Huang, Willie Lim, and Hsiang-Huang Wu, “Implementing Deep Neural Networks on Fresh Breeze.” International Conference on Parallel Computing 2017 (Parco 2017), Bologna, Italy, September 12-15, 2017
  • Chao Chen, Lei Huang, Lijun Qian, “Implementing a Distributed Volumetric Data Analytics Toolkit on Apache Spark.” 2017 New York Scientific Data Summit (NYSDS 2017): Data-Driven Discovery in Science and Industry, New York, August 6-9, 2017.
  • Lei Huang, Xishuang Dong, and T. Edward Clee, “Applying Deep Learning on a GPU-based Cluster for Seismic Volume Interpretation with Spark and TensorFlow.” 2017 Oil & Gas HPC Conference, Houston, TX, March 15-16, 2017

2016

  • David Zhou, Y. Yang, and H. Yan, “A Smart Virtual Eye Mobile System for the Visually Impaired”, IEEE Potentials, Vol. 35, No. 6, Nov./Dec. 2016, pp. 13-20.
  • A. Lodgher, “Using SCRUM methodology to teach software engineering”, accepted by ASEE-GSW annual conference, March 2016.
  • Rice, Delores, Bonner, Fred, Lewis, Chance, Alfred, Mary, Nave, Felecia M., and Frizell, Sherri. (2016). Reversing the Tide in Science, Engineering, Technology and Mathematics (STEM): Academically Gifted African American Students in Historically Black Colleges & Universities, Journal of Research Initiatives, 2(1).
  • Xishuang Dong, Lijun Qian, Yi Guan, Lei Huang, Qiubin Yu, Jinfeng Yang, “A Multiclass Classification Method Based on Deep Learning for Named Entity Recognition in Electronic Medical Records.” 2016 New York Scientific Data Summit (NYSDS), New York, August 14-17, 2016.
  • Nicholas Del Rio, Timothy Lebo, Lei Huang and Lijun Qian, “Performance Evaluation of Big RDF Data on Cassandra”, the First Workshop of Mission-Critical Big Data Analytics 2016, May 16-17, Prairie View, TX
  • Lei Huang, Chao Chen and T. E. Clee, “Applying Big Data Analytics to Seismic Interpretation,” the 2016 Rice Oil & Gas HPC Conference, Houston, TX, March 2-3, 2016
  • Chao Chen ,Xishuang Dong and Lei Huang, “A Scalable and Productive Workflow-based Cloud Platform for Big Data Analytics,” 2016 IEEE International Conference on Big Data Analysis, (ICBDA 2016) Hangzhou, China, March 12-14, 2016
  • Nave, F., Bonner, F., Lewis, C, Frizell, S., Parker, F., and McFrazier, M. (2016). African American Students’ Academic Achievement in STEM at HBCUs: Faculty Perceptions on the Contributing Factors for Academic Success. In L. Flowers, L. Flowers & J. L. Moore III (Eds.), Advancing Educational Outcomes in Science, Technology, Engineering and Mathematics at Historically Black Colleges and Universities. New York: University Press of America.
  • Rice, Delores, Bonner, Fred, Lewis, Chance, Alfred, Mary, Nave, Felecia M., and Frizell, Sherri. (2016). Reversing the Tide in Science, Engineering, Technology and Mathematics (STEM): Academically Gifted African American Students in Historically Black Colleges & Universities, Journal of Research Initiatives, 2(1).

2015

  • David Zhou, Y. Yang, and H. Yan, “A Smart Virtual Eye Mobile System for the Visually Impaired”, IEEE Potentials; Accepted for publication, 10/26/2015.
  • Y. Yang and L. Li, “A smart sensor system for air quality monitoring and massive data collection,” Proc. International Conference on ICT convergence 2015, Oct. 27-30, 2015.
  • Y. Yang, etc., “Design and Implementation of a Remote Resident Power Monitor and Control System,” IEEE Potentials; Vol.34, No.4, July/August 2015, pp.19-23.
  • D. Zhou and Y. Yang, “”, Proc. 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV’2015), 2015, pp.319-324.
  • Y. Yang and Lin Li, “A Smart Sensor System for Air Quality Monitoring and Massive Data Collection,” IEEE Proc. of International Conference on ICT Convergence (ICTC) 2015, accepted.
  • Cui, L. Li, L. Huang, Y. Wang, “Enhance Computing Curricula with High Performance Computing Teaching and Research,” Proc. of American Society of Engineering Education (ASEE) Annual Conference, June, 2015
  • Y. Yan, M. Hanifi, L.i. Yi, and L. Huang, “Building a Productive Domain-Specific Cloud for Big Data Processing and Analytics Service,” Journal of Computer and Communications, Vol. 3, Issue 5, 2015, pp. 107-117
  • Y. Yan, C. Chen, and L. Huang, “A Productive Cloud Computing Platform Research for Big Data Analytics”, In Proc. of IEEE CloudCom 2015, Nov 30-Dec 3, Vancouver, Canada (Accepted)
  • Y. Yang, etc., “Design and Implementation of a Remote Resident Power Monitor and Control System,” IEEE Potentials; July/August 2015, Vol.34, No.4, pp.19-23.
  • Yuzhong Yan, Chao Chen, Lei Huang, “A Productive Cloud Computing Platform Research for Big Data Analytics”, In Proc. of IEEE CloudCom 2015, Nov 30-Dec 3, Vancouver, Canada
  • Suxia Cui, Lin Li, Lei Huang, Yonghui Wang, “Enhance Computing Curricula with High Performance Computing Teaching and Research,” In Proc. of 122nd ASEE Annual Conference & Exposition, June 14-17, 2015, Seattle, WA

2014

  • Y. Yan and L. Huang, “Large-scale Image Processing Research Cloud”, In Proc. of Fifth International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2014), May 25 – 29, 2014, Venice, Italy
  • Bellam, K., Yang, Y., Frizell, S., & Robinson, T. (2014). Improving Energy Efficiency and Reliability of Disk Storage Systems. International Journal on Recent and Innovation Trends in Computing and Communication, 2(8).
  • Lei Huang, “Large-scale Image Processing Research Cloud”, In Proc. of Fifth International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2014), May 25 – 29, 2014, Venice, Italy
  • Bellam, K., Yang, Y., Frizell, S., & Robinson, T. (2014). Improving Energy Efficiency and Reliability of Disk Storage Systems. International Journal on Recent and Innovation Trends in Computing and Communication, 2(8).