Journal articles and peer-reviewed conference papers

(Selective list. The full list of publications can be found from my cv.)

  1. Juan Antonio Lossio-Venture, Eduardo, Ceh-Varela, Genoveva Vargas-Solar, Ricardo Marcacini, Claude Tadonki, Hiram Calvo, Hugo Alatrista-Salas. (2024, June). Information Management and Big Data.10th Annual International Conference, SIMBig 2023, Mexico City, Mexico, December 13–15, 2023, Proceedings. https://doi.org/10.1007/978-3-031-63616-5. ISBN 978-3-031-63616-5. ISSN 1865-0929 Published: 28 June 2024. Springer Nature Link

  2. Ceh-Varela, E., Imhmed, E. (2024, May) Investigating Freshmen Students Coding Standards Challenges Using NLP Techniques. In: 9th International Conference on Information, Communication and Computing Technologies (ICICCT 2024). New Delhi, India Link

  3. Ceh-Varela, E., Imhmed, E. (2024, April) A Mobile App Leveraging NLP Techniques for Sci-Fi Book Recommendations. Consortioum for Computing Sciences in Colleges (CCSC) South Central Regional Conference. Link

  4. Imhmed, E., Ceh-Varela, E., Abu-Gellban, H., Kilgore, S. (2024, April) Fostering Code Quality Practices Among Undergraduate Novice Programmers. Consortioum for Computing Sciences in Colleges (CCSC) South Central Regional Conference. Link

  5. Ceh-Varela, E., Maes, L., Shakya, S. (2024, January) Machine Learning Analysis of Factors Contributing to Diabetes Development. Cloud Computing and Data Science Journal. Volume 5(1), January 2024. DOI: https://doi.org/10.37256/ccds.5120243751 Link

  6. Imhmed, E., Ceh-Varela, E., Kilgore, S. 2023 International Conference on Computational Science and Computational Intelligence (CSCI'23). IEEE CPS. Las Vegas, Nevada, USA. Link

  7. Kilgore, S., Imhmed, E., Ceh-Varela, E. Identifying Code Quality Issues Among Computing Undergraduates. New Mexico Journal of Science. Volume 57. December 2023. Link

  8. Chavez, J., Ceh-Varela, E. Protecting Smart Grids with Machine Learning. New Mexico Journal of Science. Volume 57. December 2023. Link

  9. Imhmed, E., Ceh-Varela, E., Kilgore, S. (2023, December) Identifying Code Quality Issues for Undergraduate Students Using Static Analysis and NLP. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI'23). IEEE CPS. Link

  10. Imhmed, E., Ceh-Varela, E., Cook, J., Parten, P. (2023, June). Evaluation of the Performance Impact of SPM Allocation on a Novel Scratchpad Memory. In 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 972-973). IEEE. Link

  11. Ceh-Varela, E., Imhmed E., (2023 June). Uncovering Water Research with Natural Language Processing. In 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 983-984). IEEE. Link

  12. Ceh-Varela, E., Canto-Bonilla, C., Duni, D. (2023) Application of Project-Based Learning to a Software Engineering Course in a Hybrid Class Environment. Information and Software Technology (INFSOF) Journal. Volume 158, June 2023, 107189. ISSN: 0950-5849. Link

  13. Villanueva, S., Ceh-Varela, E. (2022) Analyzing the Golden Age of Science Fiction: A Topic Modeling Approach. The New Mexico Journal of Science. Volume 56, December 2022 Link

  14. Ceh-Varela, E., Cao, H., Lauw, H. (2022) Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups. ACM Transactions on Intelligent Systems and Technology (TIST). Journal. Link

  15. Rohrbaugh, N, Ceh-Varela, E. (2022). Composite recommendations with heterogeneous graphs. In: Information Management and Big Data. SIMBig 2021. Communications in Computer and Information Science, vol 1577. Springer, Cham. Link

  16. Ceh-Varela, E., Cao, H., Le, T. (2021). Multi-criteria and Review-based Overall Rating Prediction. In: Karlapalem K. et al. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science, Volume 12713. Springer, Cham. Link

  17. Ceh-Varela, E., Cao, H. (2020). Recommending novel and relevant reviews to expand users' knowledge about a product. International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’20)] Link

  18. Zahedi, R., Ceh-Varela, E., Selje II, R., Cao, H., Sun, L. (2020). Neural Network Based Approaches to Mobile Target Localization and Tracking Using Unmanned Aerial Vehicles. In AIAA Scitech 2020 Forum. Link

  19. Ceh-Varela, E., Cao, H. (2019). Recommending Packages of Multi-Criteria Items to Groups. In 2019 IEEE International Conference on Web Services (ICWS) (pp. 273-282). IEEE. Link

  20. Hernandez-Chan, G., Ceh-Varela, E., Sanchez-Cervantes, J., Villanueva-Escalante, M., Rodriguez-Gonzalez, A., & Perez-Gallardo, Y. (2016). Collective intelligence in medical diagnosis systems: a casestudy. Computers in biology and medicine, 74, (pp. 45-53). Link

  21. Ceh-Varela, E., Hernandez-Chan, G. (2015). Review of Mobile Applications for Tourism. Published in International Journal of Electronics and Computer Science Engineering IJECSE. Volume 4. Number 4. (pp. 353-356). Link

Book Chapters, edited books

  1. Ceh-Varela, E., Hernandez-Chan, G., Villanueva-Escalante, M., & Sanchez-Cervantes, J. (2018). MED-IS-IN, an Intelligent Web App for Recognizing Non-prescription Drugs. In New Perspectives on Applied Industrial Tools and Techniques (pp. 273-292). Springer. Link

  2. Reyes-Mendoza, N., Olivares-Contreras, R., Rodriguez-Valencia, N., Ceh-Varela, E.. (2017). Innovacion, Vinculacion y Educacion Superior: Una relacion dinamica necesaria. [Innovation, Bonding and Higher Education: A necessary dynamic relationship.] Merida, Mexico: Universidad Tecnologica Metropolitana. ISBN 978-607-97344-1-1. Link

  3. Reyes-Mendoza, N., Olivares-Contreras, R., Rodriguez-Valencia, N., Ceh-Varela, E. (2016). Avances y perspectivas de la innovacion, investigacion y vinculacion. [Advances and perspectives of innovation, research and linkage.] Merida, Mexico: Universidad Tecnologica Metropolitana. ISBN 978-607-96752-7-1. Link

Research Posters

  1. Parten, C., Shakya, S.,Ceh-Varela, E. An Edge Computing Based Elderly Fall Detection System using Wearable Devices. In: 17th IEEE Dallas Circuits and Systems Conference (DCAS2024). April 2024. Dallas, TX.

  2. Stephen Washington, Kristin Waldo, David Sanchez, Ceh-Varela, E. Exploring the Use of Neural Networks to Enhance Undergraduate Student Retention and Completion Rates at ENMU - Portales. In 2024 NMHEAR. Feb 29 - Mar 1 2024. Albuquerque, N.M. Link

  3. Chavez, J., Ceh-Varela, E. Using Sentiment Analyzers to Predict Patient Drug Reviews. In 2024 Student Research and Creativity Conference, Portales, N.M.
    First Place award.

  4. Partern, C., Ceh-Varela, E. Deep Learning Models for Natural Language Processing Problems. In 2024 Student Research and Creativity Conference, Portales, N.M.

  5. Kilgore, S., Imhmed, E., Ceh-Varela, E. Identifying Code Quality Issues Among Computing Undergraduates. In 2023 New Mexico Research Symposium. November 2023, Albuquerque, N.M.
    Third Place award in undergraduate research poster competition

  6. Chavez, J., Ceh-Varela, E. Protecting Smart Grids with Machine Learning. In 2023 New Mexico Research Symposium. November 2023, Albuquerque, N.M.

  7. Villanueva, S., Ceh-Varela, E. Optimizing document clustering in NLP with Embedding and Cluster Methods. In 2023 ENMU Student Research and Creativity Conference (SRCC). April 2023, Portales, N.M.
    Tied for first place award in the Computer Science-Electronic Engineering category.

  8. Chavez J., Ceh-Varela, E. Exploratory Data Analysis on Breast Cancer Datasets. In 2023 ENMU Student Research and Creativity Conference (SRCC). April 2023, Portales, N.M.
    Tied for first place award in the Computer Science-Electronic Engineering category.

  9. Rohrbaugh, N., Ceh-Varela, E. Recommending Composite Items with Graph Neural Networks. In 2023 ERN Conference in STEM. February 2023, Washington, D.C.

  10. Villanueva, S., Ceh-Varela, E. Analyzing the Golden Age of Science Fiction: A Topic Modeling Approach. Poster presented at: New Mexico Research Symposium. November 5, 2022, Albuquerque, N.M.
    Second Place award in undergraduate research poster competition.

  11. Ceh-Varela, E., Imhmed E., Guirao-Aguilera, M. Discovering Water Research Topics with Natural Language Processing. Poster presented at: 67th Annual New Mexico Water Conference. October 26-27, 2022, Las Cruces, N.M.

  12. Wight, T., Ceh-Varela, E. Understanding Science Fiction using Machine Learning and Natural Language Processing. In 2022 ENMU Student Research and Creativity Conference (SRCC). April 2022, Portales, N.M.

  13. Navarro, O., Ceh-Varela, E., Cao, H. Analysis of anomaly detection algorithms on electricity consumption time series. Poster presented at: 2020 Emerging Researchers National (ERN) Conference in STEM, February 6-8, 2020.

  14. Ceh-Varela, E., & Cao, H. Multi-criteria Package Recommendations for a Group of Users. Poster presented at: Workshop on big data challenges, techniques, and applications. April 2019, Tempe, AZ.