Germán Harvey Alférez Salinas

Publications

Theses

PhD in Computer Science: Achieving Autonomic Web Service Compositions with Models at Runtime: Download
Master of Science in Information and Communication Technology: Aspect-Oriented Driven Variability in Software Product Lines: Download
Bachelor of Science in Computer Science Engineering: Análisis de un Sistema de Información Bajo la Aproximación de la Orientación a Aspectos. Caso Práctico: Manejo de Solicitudes en la Mesa de Ayuda de Servicios Generales de Una Universidad: Physically available

Book

Alférez, G.H. (2020). Ideas para docentes-investigadores adventistas. Editorial Publicaciones Universidad de Montemorelos, México. ISBN: 978-607-8001-21-7. https://www.computing.southern.edu/harveya/docentesinvestigadores/

Peer-Reviewed Journal Articles

Bahn, J., Alférez, G.H., & Snyder, K. (2025). Machine learning classification of fossilized Pectinodon bakkeri teeth images: insights into troodontid theropod dinosaur morphology. Machine Learning and Knowledge Extraction, 7(2). https://www.mdpi.com/2504-4990/7/2/45
Alférez, G.H., Esteban, O.A., Clausen, B.L., & Martínez Ardila, A.M. (2022). Automated machine learning pipeline for geochemical analysis. Earth Science Informatics, 15. https://doi.org/10.1007/s12145-022-00821-8
Olivas, L.G., Alférez, G.H., & Castillo, J. (2021). Glaucoma detection in Latino population through OCT’s RNFL thickness map using transfer learning. International Ophthalmology, 41. https://doi.org/10.1007/s10792-021-01931-w
Alférez, G.H., Vázquez, E.L., Martínez Ardila, A.M., & Clausen, B. (2021). Automatic classification of plutonic rocks with deep learning. Applied Computing and Geosciences, 10. https://doi.org/10.1016/j.acags.2021.100061
Aguilar, K, Alférez, G.H., Aguilar, C. (2020). Detection of difficult airway using deep learning. Machine Vision and Applications, 31(4). https://doi.org/10.1007/s00138-019-01055-3
Quiroz, I.A. & Alférez, G.H. (2020). Image recognition of Legacy blueberries in a Chilean smart farm through deep learning. Computers and Electronics in Agriculture, 168. https://doi.org/10.1016/j.compag.2019.105044
Alférez, G.H. & Pelechano, V. (2017). Achieving autonomic web service compositions with models at runtime. Computers and Electrical Engineering, 63, 332-352. https://doi.org/10.1016/j.compeleceng.2017.08.004
Heradio, R., Pérez-Morago, H., Alférez, M., Fernández-Amoros, D., Alférez, G.H. (2016). Augmenting measure sensitivity to detect essential, dispensable and highly incompatible features in mass customization. European Journal of Operational Research, 248(3), 1066-1077. https://doi.org/10.1016/j.ejor.2015.08.005
Alférez, G.H., Pelechano, V. (2014). Facing uncertainty in web service compositions. International Journal of Services Computing (IJSC), 2(2), 1-16.
Alférez, G.H., Pelechano, V., Mazo, R., Sailinesi, C., Diaz, D. (2013). Dynamic adaptation of service compositions with variability models. Journal of Systems and Software, 91, 24-47. https://doi.org/10.1016/j.jss.2013.06.034
Tabares, M. S., Alférez, G.H., & Alférez, E.M. (2008). El desarrollo de software orientado a aspectos: un caso práctico para un sistema de ayuda en línea. Avances en Sistemas e Informática, Universidad Nacional de Colombia, 5(2),61-68.

Adventist Journal Articles

Alférez, G.H. (2026). Beyond Homo deus: Building a Biblical Worldview in an AI Era. Ministry, 98(1), 24-26
Alférez, G.H. (2016). Tweeting in New York City - Data Science Can Teach Us to Sympathize. Adventist Review, 193(2), 47-49
Alférez, G.H. (2015). Big Data for Reaching a Big World. Adventist Review, 192(11), 47-51

Book Chapters

Alférez, G.H. (2025). Artificial inteligence: ethical and theological implications. In Technology, Ethics, and the Future: Navigating the Digital Age with a Biblical Focus. Silver Spring, Maryland, USA: Biblical Research Institute. ISBN 978-1-940980-30-0.
Alférez, G.H. (2021). Intelligent computational agents require a designer. In Design and Catastrophe: 51 Scientists Explore Evidence in Nature. Berrien Springs, Michigan, USA: Andrews University Press. ISBN 978-1-940980-30-0.
Alférez, G.H. & Mazo, R. (2018). Integración de los modelos de componentes con los modelos de variabilidad. In Guía Para la Adopción Industrial de Líneas de Productos de Software. Editorial Eafit, Colombia. ISBN 978-958-720-506-0.
Pelechano, V., Fons, J., Alférez, G.H., & Gómez, M. (2012). Modelos en tiempo de ejecución. In Desarrollo de Software Dirigido por Modelos: Conceptos, Métodos y Herramientas. RA-MA, Spain. ISBN 978-84-9964-215-4.
Alférez, G.H., & Alférez, E.M. (2011). An aspect-oriented framework to model non-functional requirements in software product lines of service-oriented architectures. In Methodologies for Non-Functional Requirements in Service Oriented Architecture: Requirements Engineering, Model-Driven Development and Security. Hershey, Pennsylvania, USA. ISBN:1605667943 9781605667942.

Scientific Articles in Proceedings of International Events

Ermer, M., Moses-Pakkianathan, A., & Alférez, G.H. (2025). Comparing AI and Human Self-assessments in Memorization Performance. Proceedings of the Future Technologies Conference (FTC) 2025, Munich, Germany. https://doi.org/10.1007/978-3-032-07992-3_6
Vakal, I., Regalado, E., & Alférez, G.H. (2025). Evaluating Hyper-V vs. Proxmox: Performance Comparison for Virtualization. Proceedings of the Future Technologies Conference (FTC) 2025, Munich, Germany. https://doi.org/10.1007/978-3-032-07995-4_10
Rivera, S.E., Park, J., Alférez, G.H. & Tolbert, M.W. (2024). Game-Based Engagement Management System. Proceedings of the Future Technologies Conference (FTC) 2024, London, England. https://doi.org/10.1007/978-3-031-73128-0_22
Gustrowsky, B., Villarreal, J.L., & Alférez, G.H. (2024). Using Generative Artificial Intelligence for Suggesting Software Architecture Patterns from Requirements. Proceedings of the Intelligent Systems and Applications Conference (IntelliSys) 2024, Amsterdam, the Netherlands. https://doi.org/10.1007/978-3-031-66336-9_19
Downs, R., Illangovan, D., & Alférez, G.H. (2024). Open Zero-Watermarking Approach to Prevent the Unauthorized Use of Images in Deep Learning. Proceedings of the Intelligent Systems and Applications Conference (IntelliSys) 2024, Amsterdam, the Netherlands. https://doi.org/10.1007/978-3-031-66431-1_27
Hýbl, A. & Alférez, G.H. (2024). Using AutoML to Analyze the Effect of Attendance and Seat Location on University Student Grades. Proceedings of the Intelligent Systems and Applications Conference (IntelliSys) 2023, Amsterdam, the Netherlands. https://doi.org/10.1007/978-3-031-47721-8_42
Domínguez, R., Alférez, G.H., González-Mejia, V., & Donías, N. (2023). Data Science Application for Creation of Maternal Morbidity and Mortality Predictive Software. Proceedings of the 27th World Multi-Conference on Systems, Cybernetics and Informatics (WMSCI 2023), Orlando, FL, USA. https://doi.org/10.54808/WMSCI2023.01.1
Hines, J., Cunningham, N., & Alférez, G.H. (2023). Performance Comparison of Operations in the File System and in Embedded Key-Value Databases. Proceedings of the Computing Conference 2023, London, England. https://doi.org/10.1007/978-3-031-37963-5_27
Bateman, L.T., Butler, M.A., & Alférez, G.H. (2022). Database Query Execution Through Virtual Reality. Proceedings of the Future Technologies Conference 2022 (FTC 2022), Vancouver, Canada. https://doi.org/10.1007/978-3-031-18458-1_42
Cookenmaster, D.C., Bahn, J.A., & Alférez, G.H. (2022). Introducing Database Normal Forms to Students: A Comparison Between Theory-First and Practice-First Educational Approaches. Proceedings of the Future Technologies Conference 2022 (FTC 2022), Vancouver, Canada. https://doi.org/10.1007/978-3-031-18344-7_12
Bosquez, S., Alférez, G.H., Martínez Ardila, A.M., & Clausen B.L. (2022). Automatic Classification of Felsic, Mafic, and Ultramafic Rocks in Satellite Images from Palmira and La Victoria, Colombia. Proceedings of the Computing Conference 2022, London, England. https://doi.org/10.1007/978-3-031-10464-0_36
Alférez, G.H., Hernández Serrano, S., Martínez Ardila, A.M., & Clausen, B.L. (2021). Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices. Proceedings of the Future Technologies Conference 2021 (FTC 2021), Vancouver, Canada. https://doi.org/10.1007/978-3-030-89906-6_6
García, J.D., García Garza, A.L., Alférez, G.H., Clausen, B.L., & Martínez Ardila, A.M (2021). Machine Learning in Geochemistry: A Bibliometric Analysis. Proceedings of the 23rd International Conference on Artificial Intelligence (ICAI 2021), Las Vegas, NV, USA. https://www.american-cse.org/static/CSCE21%20book%20abstracts.pdf
Sylnice, J. & Alférez, G.H. (2018). Dynamic Evolution of Simulated Autonomous Cars in the Open World Through Tactics. Proceedings of the Future Technologies Conference 2018 (FTC 2018), Vancouver, Canada. https://doi.org/10.1007/978-3-030-02686-8_21
Espinoza, M., Alférez, G.H., & Castillo, J. (2018). Prediction of Glaucoma through Convolutional Neural Networks. Proceedings of the 2018 International Conference on Health Informatics and Medical Systems (HIMS 2018), Las Vegas, NV, USA. https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/HIM3459.pdf
Medina, J., Urango, O., Arboleda, W., Alférez, G.H., & Anaya, R. (2016). Implementación de una Arquitectura Open Health Data para la Gestión y Consumo de Datos de Salud. Proceedings of the 2o Congreso de Investigación Universitaria de la División Interamericana (CIDIA 2016), Montemorelos, NL, Mexico.
Alférez, G.H., Jiménez, J., Hernández-Navarro, H., González, M., Domínguez, R., Briones, A., & Hernández-Villalvazo, H. (2016). Aplicación de Ciencia de Datos en las Historias Clínicas de una Clínica Ubicada en el Noreste de México para Corroborar la Relación entre Caries Dental y Diabetes. Proceedings of the 2o Congreso de Investigación Universitaria de la División Interamericana (CIDIA 2016), Montemorelos, NL, Mexico.
Alférez, G.H., Jiménez, J., Hernández-Navarro, H., González, M., Domínguez, R., Briones, A., Hernández-Villalvazo, H. (2016). Application of Data Science to Discover the Relationship between Dental Caries and Diabetes in Dental Records. Proceedings of the 2016 International Conference on Health Informatics and Medical Systems (HIMS 2016), Las Vegas, NV, USA. https://www.techrxiv.org/doi/full/10.36227/techrxiv.20311734.v1
Alférez, G.H., Rodríguez, J., Pompe, L.R., & Clausen, B. (2015). Interpreting the Geochemistry of Southern California Granitic Rocks Using Machine Learning. Proceedings of the 2015 International Conference on Artificial Intelligence (ICAI 2015), Las Vegas, NV, USA. http://worldcomp-proceedings.com/proc/p2015/ICA2786.pdf
Zabala, B. & Alférez, G.H. (2015). Proactive Control of Traffic in Smart Cities. Proceedings of the 2015 International Conference on Artificial Intelligence (ICAI 2015), Las Vegas, NV, USA. http://worldcomp-proceedings.com/proc/p2015/ICA2939.pdf
Marín, C., Alférez, G.H. Córdova, J., & González, V. (2015). Detection of Melanoma Through Image Recognition and Artificial Neural Networks. Proceedings of the 2015 IUPESM World Congress on Medical Physics and Biomedical Engineering (WC 2015), Toronto, Canada. https://doi.org/10.1007/978-3-319-19387-8_204
Torres, M., & Alférez, G.H. (2014). Software Architecture Evolution in the Open World through Genetic Algorithms. Proceedings of the 2014 International Conference on Software Engineering Research and Practice (SERP 2014), Las Vegas, NV, USA. http://worldcomp-proceedings.com/proc/p2014/SER3160.pdf
Alférez, G.H., & Pelechano, V. (2013). Facing Uncertainty in Web Service Compositions. Proceedings of the IEEE 20th International Conference on Web Services (ICWS 213), Santa Clara, CA, USA. https://doi.org/10.1109/ICWS.2013.38
Alférez, G.H., & Pelechano, V. (2012). Dynamic Evolution of Context-Aware Systems with Models at Runtime. Proceedings of the ACM/IEEE 15th International Conference on Model Driven Engineering Languages & Systems (MODELS 2012), Innsbruck, Austria.https://doi.org/10.1007/978-3-642-33666-9_6
Ayora, C., Alférez, G.H., Torres, V., Pelechano, V. (2012). Applying CVL to Business Process Variability Management. VARY workshop at MODELS 2012, Innsbruck, Austria.https://doi.org/10.1145/2425415.2425421
Alférez, G.H., & Pelechano, V. (2011). Context-Aware Autonomous Web Services in Software Product Lines. Proceedings of the 15th International Software Product Line Conference (SPLC'11), München, Germany, IEEE Computer Society, Los Alamitos, CA, 2011. https://doi.org/10.1109/SPLC.2011.21
Alférez, G.H., & Pelechano, V. (2011). Systematic Reuse of Web Services through Software Product Line Engineering. Proceedings of the European Conference on Web Services 2011 (ECOWS'11), Lugano, Switzerland, IEEE Computer Society, Los Alamitos, CA, 2011. https://10.1109/ECOWS.2011.13
Ayora, C., Alférez, G.H., Torres, V., Pelechano, V. (2011). Procesos de Negocio Auto-Adaptables al contexto. Proceedings of the VII Jornadas de Ciencia e Ingeniería de Servicios (JCIS 2011), A Coruña, Spain. https://lbd.udc.es/jornadas2011/actas/JCIS/JCIS/S5/S5_1_paper.pdf
Alférez, G.H. (2009). Grupos de investigación tecnológica en universidades adventistas: educación y misión. Proceedings of the 39th International Seminar on the Integration of Faith and Learning, Montemorelos, Mexico. https://christintheclassroom.org/vol_39/39cc_001-016.pdf
Alférez, G.H. & Poonphon, S. (2007). An Aspect-Oriented Product Line Framework to Support the Development of Software Product Lines of Web Applications. Proceedings of the 24th South East Asia Computer Conference, Bangkok, Thailand.https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=eb7faec27e170e8f43c118823bfbd223844c1b9e

Technological and Scientific International Magazines/Repositories

Harmse, J., Peden, E., & Alférez, G.H. (2024). Innovating Inventory and Alert Systems with Object Tracking. Campus Research Day, Southern Adventist University. Retrieved May 3, 2023, from https://knowledge.e.southern.edu/crd/2023/sciences/4/
Hybl, A. & Alférez, G.H. (2023). Using Azure AutoML to Analyze the Effect of Attendance and Seat Choice on University Student Grades. Campus Research Day, Southern Adventist University. Retrieved May 2, 2024, from https://knowledge.e.southern.edu/crd/2024/Sciences/2/
Ermer, M. & Alférez, G.H. (2023). Visualizing Literary Narratives with a Graph-Centered Approach. Campus Research Day, Southern Adventist University. Retrieved May 3, 2023, from https://knowledge.e.southern.edu/crd/2023/humanities/3/
Bateman, L, Butler, M. & Alférez, G.H. (2022). Database Query Execution through Virtual Reality. Campus Research Day, Southern Adventist University. Retrieved April 25, 2022, from https://knowledge.e.southern.edu/crd/2022/sciences/1/
Cookenmaster, D.C., Bahn, J.A. & Alférez, G.H. (2022). Introducing Normal Forms to Students: A Comparison of Theory-First vs. Project-First Educational Approaches. Campus Research Day, Southern Adventist University. Retrieved April 25, 2022, from https://knowledge.e.southern.edu/crd/2022/sciences/2/
Jensen, M., Manestar, M. & Alférez, G.H. (2022). Realtime Visualization of Kafka Architecture. Campus Research Day, Southern Adventist University. Retrieved April 25, 2022, from https://knowledge.e.southern.edu/crd/2022/sciences/4/
Hines, J., Cunningham, N. & Alférez, G.H. (2022). Performance Comparison of the Filesystem and Embedded Key-Value Databases. Campus Research Day, Southern Adventist University. Retrieved April 25, 2022, from https://knowledge.e.southern.edu/crd/2022/noncompetingsessionpm/3/
González, M. & Alférez, G.H. (2020). Application of Data Science to Discover Violence-Related Issues in Iraq. arXiv. Retrieved June 18, 2020, from https://arxiv.org/abs/2006.07980
Cruz, E. & Alférez, G.H. (2014). Gestionando Procesos de Negocios Usando BPMN 2.0. Software Guru. No. 46, September-December 2014. Retrieved January 6, 2015, from http://issuu.com/softwareguru/docs/sg46-web/36
Serrano, J.A., Regalado, L.C., Villa, V.F., & Alférez, G.H. (2014). Diagnóstico Físico Utilizando Google Glass y Machine Learning. Software Guru. No. 45, August-October 2014. Retrieved September 18, 2014, from http://issuu.com/softwareguru/docs/sg45web/54
Alférez, G.H., & Avila, P.D. (2010). Documentando en Scrum con Google Wave. Software Guru. No. 27, Febrero-Abril 2010. Retrieved March 8, 2010, from http://issuu.com/softwareguru/docs/sg27
Mago, E.R., & Alférez G.H. (2010). Arquitectura de software en Scrum. Software Guru. No. 30, Noviembre 2010-Enero 2011. Retrieved January 18, 2011, from http://issuu.com/softwareguru/docs/sg30
Núñez, R., & Alférez G.H. (2010). Propuesta para el mejoramiento de Adventist Forge. Revista Unaciencia, Corporación Universitaria Adventista. Year 3, No. 6, March 2011.
Sánchez, R.J., Hernández, J., & Alférez, G.H. (2010). Repositorio de Componentes de Software para Sistemas de la Iglesia Adventista del Séptimo Día. Revista Unaciencia, Corporación Universitaria Adventista. Year 2, No. 4, March 2010. Retrieved July 27, 2010, from http://issuu.com/unac/docs/unac_-_unaciencia_-_12692?mode=embed&layout=http://skin.issuu.com/v/light/layout.xml&showFlipBtn=true
Alférez, G.H., & Alférez, E.M. (2009). Utilización de CLAPACK para resolver sistemas de ecuaciones lineales mediante paralelismo y optimización de memoria. Revista Unaciencia, Corporación Universitaria Adventista. Year 2, No. 3, September 2009. Retrieved July 27, 2010, from http://circle.adventist.org/download/CLAPACKSistEcLineales.pdf
Soto, O.O., & Alférez, G.H. (2009). An architecture proposal for academic software in Adventist universities. Catalyst, Asia-Pacific International University (Vol. 4, num. 1, pp. 35-44). Retrieved November 6, 2009, from http://www.apiu.edu/publications/catalyst/Catalyst_2009.pdf
Soto, O.O., & Alférez, G.H. (2009). Scrum, ¿un paradigma de administración de proyectos que cumple lo que promete?. Software Guru. No. 25, August-October 2009. Retrieved September 22, 2009, from http://issuu.com/softwareguru/docs/sg25
Alférez, G.H. (2008). Measurement of the support in the development stages of an aspect-oriented software product line framework. Catalyst, Asia-Pacific International University (Vol. 3, num. 1, pp. 14-24). Retrieved February 4, 2009, from http://www.apiu.edu/publications/catalyst/Catalyst_2008.pdf

Research Posters

O’Hare,D.J., Martínez Ardila, A.M., Clausen,B.L. & Germán H. Alférez (2025). Machine Learning Algorithms Successfully Predict Mantle Reservoirs of Basalts Using Trace Elements as Proxies for Isotopic Data. CONNECTS 2025, The Geological Society of America. https://gsameetings.secure-platform.com/connects25/solicitations/103002/sessiongallery/schedule/items/95107/application/10405
Vakal, I., Regalado, E., & Alférez, G.H. (2025). Evaluating Hyper-V vs Proxmox: Performance Comparison for Virtualization. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/MorningPosterSession/10/
Ermer, M., Moses-Pakkianathan, A., & Alférez, G.H. (2025). Comparing AI and Human Self-Assessments in Memorization Performance. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/MorningPosterSession/9/
Erickson, L., Gustrowsky, A., & Alférez, G.H. (2025). Integrity First: Redefining the Future of Senior Care Referrals Through Entrepreneurship Project. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/MorningPosterSession/8/
Weiss, C. & Alférez, G.H. (2025). A Machine-Learning Tool-Supported Methodology for Nonprofit Donor Analysis. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/AfternoonPosterSession/14/
Kasahara, J. & Alférez, G.H. (2025). Visualizing Chattanooga’s Freeway Accidents: An Interactive Dashboard Built on US National Laboratory Data. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/AfternoonPosterSession/11/
Patel, J. & Alférez, G.H. (2025). AI-Powered Health & Nutrition Dashboard: Enhancing Personalized Wellness with AI. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/AfternoonPosterSession/12/
Erskine, K. & Alférez, G.H. (2025). Mobile Application for Historical Markers. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/AfternoonPosterSession/10/
Swansi, K. & Alférez, G.H. (2025). The Effects of AI Tutors on Beginner Programmers. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2025/AfternoonPosterSession/13/
O’Hare,D.J., Martínez Ardila, A.M., Clausen,B.L. & Germán H. Alférez (2024). Identifying Mantle Reservoirs in Hawaiian Ocean Island Basalts: A Machine Learning Approach with Trace Element Ratios as Isotopic Proxies. CONNECTS 2024, The Geological Society of America. https://gsa.confex.com/gsa/2024AM/meetingapp.cgi/Paper/405139
Ferreira, T. & Alférez, G.H. (2024). Law and Human Rights: Assault along the Southern Texas Border. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2024/PosterSession/16/
Braun, I. & Alférez, G.H. (2024). Dashboard to Quickly Estimate the Coast and Duration of an NYC Green Taxi Trip. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2024/PosterSession/17/
Rhea, J. & Alférez, G.H. (2024). Visualizing NFL Player Metrics. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2024/PosterSession/22/
Sapkota, A., Alférez, G.H. & Chadwick, A. (2023). Visualizing Paleocurrents in a Web Application using GPlates. AGU23. https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1344812
Nelsen, D.R., Corbit, A.Gl. & Alférez, G.H. (2023). A Tool for Selecting Ecological Survey Locations in the Southeastern United States Using a Matched-Paired Design. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/32/
Hamstra, E., Rivas, M. Hybl, A. & Alférez, G.H. (2023). An Interactive Dashboard for Southern Adventist University Weather Data. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/44/
Chileya, C., Mayr, S. & Alférez, G.H. (2023). Generating University Course Catalogs via a PHP Based Module. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/40/
Rivera, S., Mayr, S. & Alférez, G.H. (2023). Game-Based Learning Activities and Assignments. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/41/
Park, J., Mayr, S. & Alférez, G.H. (2023). Creating Characters in a Game Based Learning System. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/38/
Stover, J., Mayr, S. & Alférez, G.H. (2023). Game Based Learning: Engaging Students and Measuring Their Progress. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/34/
Lewis, J. & Alférez, G.H. (2023). Understanding Enterprise-Level Cybersecurity Posture Through Data Visualization. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/virtualsessionam/1/
Cookenmaster, D. & Alférez, G.H. (2023). Visualizing the Spread of Western Music throughout the World Using Big Data. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/35/
Zaldivar, R. & Alférez, G.H. (2023). Web Repository of Southern’s Research Projects. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/37/
Butler, M. & Alférez, G.H. (2023). Interactive Dashboard of Diabetes in the US. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/39/
Deschamps T. & Alférez, G.H. (2023). Open Data Indicates that Collegedale could be a Bluezone. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/36/
Sampson, E. & Alférez, G.H. (2023). Security with pfSense. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/24/
Kannenberg, A. & Alférez, G.H. (2023). State of Tennessee Health Visualized. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2023/postersession/45/
Hybl, M., Alférez, G.H. & Clausen, B. (2022). Interactive Earthquake Visualization with Open Data. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2022/postersession/20/
Bateman, L. & Alférez, G.H. (2022). Chattanooga Crime Over Time: An Analysis of Police Incident Open Data. Campus Research Day, Southern Adventist University. https://knowledge.e.southern.edu/crd/2022/postersession/19/
Esteban, O., Alférez, G.H., Martínez Ardila, A.M., & Clausen, B.L. (2021). Understanding the Geochemistry of Southern California Plutonic Rocks Using Automated Machine Learning. 2021 Geological Society of America (GSA) Cordilleran Online Section Meeting, USA.
Hernández Serrano, S., Alférez, G.H., Martínez Ardila, A.M., & Clausen, B.L. (2021). Automatic Classification of Plutonic Rocks with Machine Learning Applied to Dominant Colors on iOS Devices. 2021 Geological Society of America (GSA) Cordilleran Online Section Meeting, USA.
Alférez, G.H. (2017). Discovering Health-Related Needs in the Community with Data Science and Open Data. 2017 Adventist Human Subjects Researchers Association (AHSRA) Conference, Loma Linda University, USA.

Other Publications

Alférez, G.H. (2018). Informe del Área 5, Personal Docente y No Docente, del Autoestudio Institucional 2018, Universidad de Montemorelos. Adventist Accrediting Association
Alférez, G.H. (2017). Living in the Age of Anxiety as Revealed in Google's Big Data. ADvindicate. Retrieved December 29, 2017, from http://advindicate.com/articles/2017/11/23/living-in-the-age-of-anxiety-as-revealed-in-googles-big-data
Alférez, G.H. (2017). Towards a Big Data and Data Science Vision at Adventist Media Ministries. Technical Report December 22, 2017. Global Software Lab, School of Engineering and Technology, Universidad de Montemorelos. Retrieved December 29, 2017, from http://www.harveyalferez.com/publications/TowardsABigDataAndDataScienceVision.pdf
Alférez, G.H. (2017). Análisis de Datos de los Alumnos de Teología en el Primer Semestre del Año Académico 2017-2018. Technical Report November 9, 2017. Global Software Lab, School of Engineering and Technology, Universidad de Montemorelos. Retrieved December 29, 2017, from http://www.harveyalferez.com/publications/TechnicalReport_November_9_2017_GSL_UM.pdf
Alférez, G.H. (2017). Discovering Mission-Oriented Patterns with Open Data in New York City. Social Media and Big Data Services, North American Division of the Seventh-day Adventist Church. Retrieved January 31, 2017, from http://www.sdadata.org/blog/discovering-mission-oriented-patterns-with-open-data-in-new-york-city
Alférez, G.H. (2016). Towards the Discovery of Patterns in Data: Following the Pathway of the Tribe of Issachar. Social Media and Big Data Services, North American Division of the Seventh-day Adventist Church. Retrieved December 25, 2016, from http://www.sdadata.org/blog/towards-the-discovery-of-patterns-in-data-following-the-pathway-of-the-tribe-of-issachar
Alférez, G.H. (2016). Discovering Hidden Patterns in US Health-Related Open Data with Machine Learning. Social Media and Big Data Services, North American Division of the Seventh-day Adventist Church. Retrieved November 14, 2016, from http://www.sdadata.org/blog/discovering-hidden-patterns-in-us-health-related-open-data-with-machine-learning
Alférez, G.H. (2016). Big Data & Data Science 101. Social Media and Big Data Services, North American Division of the Seventh-day Adventist Church. Retrieved October 26, 2016, from http://www.sdadata.org/blog/big-data-data-science-101
Alférez, G.H. (2016). Students Compete in ‘Hackathon’ for Adventist Mission. Adventist Review. Retrieved October 21, 2016, from http://www.adventistreview.org/church-news/story4487-students-compete-in-hackathon-for-adventist-mission
Alférez, G.H., Zebadúa, E., & Cruz, E. (2016). Using Data Science to Understand Segments of Individuals Who Have been Removed from Membership in the Inter-Oceanic Mexican Union Conference from 2005 to 2013. Technical Report June 23, 2016. Global Software Lab, School of Engineering and Technology, Universidad de Montemorelos. Retrieved June 23, 2016, from http://www.harveyalferez.com/publications/TechnicalReport_June_23_2016_GSL_UM.pdf
Alférez, G.H. (2015). Machine Analyzes Ted Wilson's Post-Election Sermon. ADvindicate. Retrieved August 3, 2015, from http://advindicate.com/articles/2015/7/28/machine-analyzes-ted-wilsons-post-election-sermon
Alférez, G.H. (2014). Evangelismo Tecnológico. UMVirtual. Retrieved September 18, 2014, from http://umvirtual.org/evangelismo-tecnologico-spot3
Alférez, G.H. (2013). What's Next in Communication and IT in Our Church?. ADvindicate. Retrieved May 9, 2013, from http://advindicate.com/articles/3139
Alférez, G.H. (2010). Looking for Adventist geeks. Spectrum Magazine. Retrieved July 27, 2010, from http://www.spectrummagazine.org/blog/2010/06/22/looking_adventist_geeks
Alférez, G.H. (2010). Technology reformers. Spectrum Magazine. Retrieved July 27, 2010, from http://www.spectrummagazine.org/blog/2010/07/06/technology_reformers
IT columnist for Comunicando, Montemorelos University.

Reviewer

UK Natural Environment Research Council (NERC) Standard grants call, 2020.
Mexican National Council of Science and Technology (CONACYT) grants call, 2018.
Journal of Digital Imaging, Springer.
Machine Vision and Applications, Springer.
Journal of Cereal Science, Elsevier.
IEEE Access.
Revista Internacional de Estudios Sobre Educación, Universidad de Montemorelos.
ACM Transactions on Software Engineering and Methodology (TOSEM).
Frontiers of Computer Science, Springer.
Informatics in Medicine Unlocked, Elsevier.
Journal of Computational Methods in Sciences and Engineering (JCMSE), IOS Press.
Journal of Information Technology & Software Engineering, OMICS.
CyberTech Publishing’s International Advisory Review Board.
PLOS Computational Biology.
PLOS ONE.
Communications Earth & Environment, Nature.
2018 International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2018, Barcelona, Spain, February 18-22, 2018.
2017 International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2017, Athens, Greece, February 19-23, 2017.
2016 Software Product Lines Conference, SPLC 2016. Beijing, China, September 19-23, 2016.
2015 Software Product Lines Conference, SPLC 2015. Nashville, USA, July 20-24, 2015.
7th International Conference on Research Challenges in Information Science, RCIS 2013. Paris, France, May 29-31, 2013.
25th International Conference on Advanced Information Systems Engineering, CAiSE 2013. Valencia, Spain, June 17-21, 2013.

Master Theses/Projects Advised

Sapkota, A. (2024). Visualization of Paleocurrents on a Web Application Using GPlates. Southern Adventist University, USA. https://knowledge.e.southern.edu/cgi/viewcontent.cgi?article=1002&context=mscs_theses
Hýbl, A. (2024). Comprehensive Question and Answer Generation with LLaMA 2. Southern Adventist University, USA. https://knowledge.e.southern.edu/cgi/viewcontent.cgi?article=1001&context=mscs_theses
Butler, M. (2024). Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, and an Artificial Intelligent Conversational Chat Agent Both in Voice and in Text. Southern Adventist University, USA. https://knowledge.e.southern.edu/cgi/viewcontent.cgi?article=1011&context=mscs_reports
Cunningham, N. (2024). A Further Performance Comparison of Operations in the File System and in Embedded Key-Value Databases. Master of Science in Computer Science. Southern Adventist University, USA.https://knowledge.e.southern.edu/cgi/viewcontent.cgi?article=1012&context=mscs_reports
Soto, O. (2023). Augmenting Measure Sensitivity to Detect Core and Dead Features in Scrum. Maestría en Ciencias Computacionales. Universidad de Montemorelos, Mexico. https://dspace.um.edu.mx/handle/20.500.11972/3889
Bahn, J. (2023). Automated Classification of Fossilized Pectinodon Bakkeri Teeth Images Using Machine Learning. Master of Science in Computer Science. Southern Adventist University, USA. https://knowledge.e.southern.edu/cgi/viewcontent.cgi?article=1009&context=mscs_reports
Manestar, M. (2023). Comparing Igneous Geochemical Data from Hawaii and Southern California via Machine Learning. Master of Science in Computer Science. Southern Adventist University, USA. https://knowledge.e.southern.edu/cgi/viewcontent.cgi?article=1008&context=mscs_reports
Aguilar, K.A. (2022). Aplicación Web para la Gestión del Plan Estratégico de la Universidad de Montemorelos. Caso de estudio: Facultad de Ingeniería y Tecnología. Maestría en Ciencias Computacionales. Universidad de Montemorelos, Mexico. https://dspace.um.edu.mx/handle/20.500.11972/1965
González, M. (2018). Software Para la Aplicación de Ciencia de Datos en la Unión del Medio Oriente y Norte de África. Caso de Estudio en Iraq. Maestría en Ciencias Computacionales. Universidad de Montemorelos, Mexico. https://dspace.um.edu.mx/handle/20.500.11972/545
Domínguez, R. (2017). Aplicación de Ciencia de Datos para la Creación de Software Predictivo de Morbimortalidad Materna en México. Maestría en Ciencias Computacionales. Universidad de Montemorelos, Mexico. https://dspace.um.edu.mx/handle/20.500.11972/542
De La Fuente, J. (2012). Herramienta para la Generación y Despliegue de Composiciones de
Servicios Web Mediante Modelos BPMN. Máster en Ingeniería del Software, Métodos Formales y Sistemas de la Información. Universidad Politécnica de Valencia, Spain. https://riunet.upv.es/handle/10251/18022

Other

Creator and editor of "The Divine Engineer", the first weekly devotional blog for Adventist engineers, students and teachers of engineering and IT majors, and workers in the IT area. In Spanish.
Creator and editor of Inter-American IT, a monthly electronic publication in two languages (Spanish and English) with fresh IT news for the Seventh-day Adventist Church (discontinued).

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Germán Harvey Alférez Salinas, Ph.D.