Research Areas

Brian also performs research and consulting in health informatics with a focus on human computer interaction. Specifically, this research investigates implications of personal healthcare systems as mechanisms to foster more healthy outcomes.

Areas of Inquiry

• Advances in personal health information management software (PHIM)
• Consent models in online information exchange
• Pattern discovery and data mining of personal health information

Recent publications:

• How to Build a Health eProfile: Empowering Yourself with Personal Health Data, January 20, 2024. Click to view on Amazon.
• “Classifying Vaccine Misinformation in Online Social Media Videos using Natural Language Processing and Machine Learning,” Accepted for inclusion in Proceedings of Hawaiian International Conference on System Sciences (HICSS 57), January 2-6, 2024.
• “Determining Link Relevancy in Tweets Related to Multiple Myeloma Using Natural Language Processing,” Proceedings of the 55th Hawaiian International Conference on System Sciences, Jan. 2022.
• “A Recommender System for Healthy Food Choices: Building a Hybrid Model for Recipe Recommendations using Big Data Sets,” Proceedings of the 54th Hawaii International Conference on System Sciences, Jan. 2021.
• “Fitbit Tracking and Android OS Integration,” SAGE Student Research Conference, Broome Library, California State University, Channel Islands, May 5, 2018.
• “A Dynamic Analysis and Graphing of Key Medical Terms,” SAGE Student Research Conference, Broome Library, California State University, Channel Islands, May 6, 2017.

For more information, check out Health e-Services LLC. To view a listing of publications, click here.

Brian performs research and consulting in social informatics with a focus on human computer interaction. Specifically, this research investigates implications of social technologies as they affect online conversation.

Areas of Inquiry

• Advances in online collaboration software and technologies
• Advances in teaching and learning technologies
• Pattern discovery and data mining of online conversations

Mobile App Development:

• Google Play: SocialXYZ
• iOS: SocialXYZ

Recent publications:

• “Measuring the Effects of a Dynamic Sentiment Analyzer within Online Social Networking Software During COVID-19”, 14th Annual International Conference on Education and New Learning Technologies (EDULEARN 22), July 5, 2022.
• “Approaches in Fake News Detection: An Evaluation of Natural Language Processing and Machine Learning Techniques on the Reddit Social Network,” 8th International Conference on Data Mining and Applications (DMA 2022), May 28-29, 2022.
• “Effects of recommendations on message quality and community formation in online conversations,” Education and Information Technologies, 26 (1), 49-68.
• “Real-Time Visualization to Improve Quality in Computer Mediated Communication,” Web Intelligence, v18(1), 2020.
• “Integrating Learning Analytics to Measure Message Quality in Large Online Conversations,” Proceedings of the 53rd Hawaiian International Conference on System Sciences (HICSS 53), January 7-10, 2020, Wailea, HI, USA.
• “Social Networking Strategies for Non-Profits,” CI Celebration of Service, Grand Salon, California State University, Channel Islands, May 4, 2017. Technical report available online at http://blog.socialxyz.com/social-networking/.
• “Converting Social Networking Software into Course Management Software,” SocialXYZ Blog Post created Jun. 28, 2017 and available online at http://blog.socialxyz.com/converting-social-networking-software-into-course-management-software/.

For more information, check out Blog @ SocialXYZ.com. To view a listing of publications, click here.