Recent Research Publications

Publications by Year

*Indicates a student co-author

2023

Mahd Alzoubi and Dallas Snider, “Assessing the Influences and Moderating Effects of Service Quality, Security Measures and Trust on Cloud-Computing Usage in the Healthcare Industry”, International Journal of Information Systems and Management, vol. 2, no. 3, Jan. 2023, pp 243-265.

2022

Prayaga L., Prayaga, C., Amrutha Gunuru., Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns, Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications (ICDSMLA 2022), Dec 27, 2022.

Prayaga C., Prayaga L., Wade A., Chamblee J., Rank K., Data Analytics For Athlete Safety and Training, Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications (ICDSMLA 2022), Dec 27, 2022.

Mahd Alzoubi and Dallas Snider, “Application of Factors and Moderation Analysis on Enterprise Resource Planning System Usage in the Middle East”, International Journal of Project Management and Productivity Assessment (IJPMPA), vol. 10, no. 1, article 74, Aug. 2022.

Dallas H. Snider, Steven E. Linnville, Jeffrey B. Phillips, G. Merrill Rice, “Predicting Hypoxic Hypoxia using Machine Learning and Wearable Sensors” Biomedical Signal Processing and Control, Vol 71, Part A, Jan 2022.

2021

Mahd Alzoubi, Blockchain Technology Solutions in Healthcare: A Systematic Review, Int. J. of Blockchains and Cryptocurrency, 2021 Vol.2 No.3, pp.205 - 221, DOI: 10.1504/IJBC.2021.11988

Dallas H. Snider, Steven E. Linnville, Jeffrey B. Phillips, G. Merrill Rice, “Predicting Hypoxic Hypoxia using Machine Learning and Wearable Sensors,” Biomedical Signal Processing and Control, accepted for publication.

Chandra Prayaga, Krishna Devulapalli, Lakshmi Prayaga, and Aaron Wade, Covid-19 Sentiments and Impact on Stock Market Prices, International Journal of Data Analytics, vol. 1, no. 2, 2021, pp. 40-58.

Debra Vinci, Jessica Ryan, Maureen Howard, Dallas Snider, Brandy Strahan, “Increasing Human Papillomavirus Vaccination in a Federally Qualified Health Center Organization using a Systems-Based Intervention Integrating EHR and Statewide Immunization Information System,” Journal of Community Health, 2021 Jul 31. doi: 10.1007/s10900-021-00965-6.

Austin Adkison*, John D. Morgan, Dallas Snider, Matthew Schwartz, "Design and Development of a Web Mapping Prototype for Participatory Water Quality Mapping," Open Water Journal, vol. 7, no. 1, article 2, May 7, 2021.

2020

Caroline John, Zachary Mueller*, Lakshmi Prayaga, and Krishna Devulapalli, (2020) A Neural Network Model to Identify Relative Movements from Wearable Devices, Proceedings of the IEEE SouthEastCon 2020, March 2020. 

Alzoubi, M. & Snider, D. (2020) Comparison of Factors Affecting Enterprise Resource Planning Systems’ Success in the Middle East, International Journal of Enterprise Information Systems (IJEIS), 16(4).

Neilson, B. N., Phillips, J. B., Snider, D. H., Drollinger, S. M., Linnville, S. E. & Mayes, R. S. (2020) A Data-Driven Approach to Aid in Understanding Brainwave Activity During Hypoxia, 2020 IEEE Research and Applications of Photonics in Defense Conference (RAPID), Miramar Beach, FL, USA, pp. 1-2, doi: 10.1109/RAPID49481.2020.9195700.

Prayaga, L., Devulapalli, K., & Prayaga, C. (2020). Combining Clustering and Factor Analysis as Complementary Techniques, International Journal of Data Analytics (IJDA), 1(2), 48-57.

Prayaga L., Prayaga C., Devulapalli K. (2020) Comparing Sentiment Analysis from Social Media Platforms – Insights and Implications. In: Pandian A., Palanisamy R., Ntalianis K. (eds) Proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). ICCBI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 49. Springer, Cham. 

Prayaga L., Prayaga C., Wade A., Hart A.* (2020) A Smart Farm – An Introduction to IoT for Generation Z. In: Pandian A., Palanisamy R., Ntalianis K. (eds) Proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). ICCBI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 49. Springer, Cham.

2019

Prayaga, L., Devulapalli, K., & Prayaga, C. (2019). Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms. International Journal of Big Data and Analytics in Healthcare (IJBDAH), 4(1), 32-46.

 Prayaga, "Empowering Citizen Data Scientists - Cyber Science Social Media Track," 2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA), Oxford, United Kingdom, 2019, pp. 1-2, doi: 10.1109/CyberSA.2019.8899505.

Prayaga L., Devulapalli K., Devulapalli S., Devulapalli K. (2019) Clustering and Predicting Driving Violations Using Web-Enabled Big Data Techniques. In: Mallick P., Balas V., Bhoi A., Zobaa A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore.

Drollinger, S., Linnville, S., Phillips, J., Snider, D., & Sciarini, L. W. (2019). Efficacy of Dry Electroencephalography and Cognitive Assessment in Identifying Normobaric Hypoxia in Designated Aviators. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 59–62.

G. Merrill Rice, Dallas Snider, Sabrina Drollinger, Chris Greil, Frank Bogni*, Jeffrey Phillips, Anil Raj, Katherine Marco, Steven Linville, Gender Differences in Dry-EEG Manifestations During Acute and Insidious Normobaric Hypoxia, Aerospace Medicine and Human Performance, vol. 90, no. 4, 2019, pp. 369-377. 

G. Merrill Rice, Dallas Snider, Sabrina Drollinger, Chris Greil, Frank Bogni*, Jeffrey Phillips, Anil Raj, Katherine Marco, Steven Linville, Dry-EEG Manifestations of Acute and Insidious Hypoxia During Simulated Flight, Aerospace Medicine and Human Performance, vol. 90, no. 2, 2019, pp. 92-109.

Dallas Snider, “Big Data,” in Introduction to Biomedical Data Science, Robert Hoyt and Robert Muenchen, editors, 978-1-79476-173-5, Informatics Education, December 2019, pp. 101-110.

2018

Dallas H. Snider, John Derek Morgan, Matthew Schwartz, Austin Adkison*, Delikarl Jean Baptiste*, An Online Analytical Processing Database for Environmental Water Quality Analytics,” Proceedings of the 2018 IEEE SouthEastCon, April 19-22, 2018, St. Petersburg, FL.

Chelsea N. Adams*, Dallas H. Snider, Effective Data Visualization in Cybersecurity, Proceedings of the 2018 IEEE SouthEastCon, April 19-22, 2018, St. Petersburg, FL.

Zachary Pannell*, Bhuvaneswari Ramachandran, Dallas H. Snider, Machine Learning Approach to Solving the Transient Stability Assessment Problem, Proceedings of the 2018 IEEE Texas Power and Energy Conference, February 8-9, 2018, College Station, TX.

2017

Prayaga, L., Devulapalli, K., Data Analytics with Hadoop for Juniors, International Journal of Computer and Information Technology (ISSN: 2279 – 0764) Volume 06 – Issue 02, March 2017

Robert E. Hoyt and Dallas H. Snider, “Introduction to Data Science,” in Health Informatics: Practical Guide for Healthcare and Information Technology Professionals, 6^th ed., Robert Hoyt and Ann Yoshihashi, editors, 978-1365524806, LuLu.com, February 2017.

2016

Prayaga, L., Davis, J.*, Whiteside, A.*, Riffle, A.*, An Exploration In The Use Of Minecraft To Teach Digital Logic To Secondary School Students, International Journal of Computer Science, Information Technology and Management, Volume 2, No.2, December 2016.

Prayaga, C., Mooers, A.*, Davis, J.*, Whiteside, A.*, Prayaga, L., A Comparison of Computer Vision Techniques for Indoor Robot Localization, International Journal of Computer Science, Information Technology and Management, Volume 2, No.2, December 2016.

Prayaga, L., Story Telling and Visualizations with Data - An Alternative Entry Point to Computer Science Education, International Journal of Computer and Information Technology, Volume 5, Issue 2, March 2016.