Vetria L. Byrd, PhD


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§: Postdoc, *Graduate Student, **Undergraduate

Journal Papers (Peer reviewed)

  1. Bosman, L., §Madamanchi, A., Bartholomew, S., & Byrd, V. (2022). Repeated Use of Adaptive Comparative Judgment to Develop Student Understanding of Artificial Intelligence in Problem Based Learning Assignments, International Journal of Engineering Education Vol. 38, No. 4, pp. 892–904.
  2. Bosman, L., Kotla, B., §Madamanchi, A., Bartholomew, S., & Byrd, V. (2022). Preparing the future entrepreneurial engineering workforce using web-based AI-enabled tools. European Journal of Engineering Education, 1-18.
  3. Camba, J. D., Company, P., & Byrd, V. L. (2022). Identifying Deception as A Critical Component of Visualization Literacy, IEEE Computer Graphics and Applications, 42.1, 116-122.
  4. Byrd, V. L. & **Dwenger, N. (2021). Activity Worksheets for Teaching and Learning Data Visualization, IEEE Computer Graphics and Applications, Special Issue on Visualization Education and Teaching Visualization Literacy, November/December, 1-12.   doi.org/10.1109/MCG.2021.3115396
  5. *Amarkhil, Q., Elwakil, E., Hubbard, B., & Byrd, V. L. (2023). A framework to standardize causes of construction delay. International Journal of Construction Management, 23(11), 1791-1804.   doi.org/10.1080/15623599.2021.2009097
  6. **Santana, V., Bartholomew, S., **Rowe, W., Byrd, V., Strimel, G., & **Han, K. (2020). SMART buoys: integrating data visualization and design to reduce ocean-life casualties. Technology and Engineering Teacher, 79(8), 19-23.
  7. Bartholomew, S., Strimel, G., Byrd, V., **Santana, V., **Otto, J., Laureano, Z., & **DeRome, B. (2020). Using data to improve precision in crop fertilization through digital agriculture. Technology and Engineering Teacher, 79(7), 32-36.
  8. §Vieira, C., Parsons, P., & Byrd, V. (2018). Visual learning analytics of educational data: A systematic literature review and research agenda. Computers & Education, 122, 119-135.
  9. Byrd, V. (2018). Parallels between engineering graphics and data visualization: a first step Toward visualization capacity building in engineering graphics design. Engineering Design Graphics Journal, 82(2), 24-30.
  10. Bravo, E. G., Burbano, A., Byrd, V. L., & Forbes, A. G. (2017). The interactive image: a media archaeology approach. Leonardo, 50(4), 368-375.
  11. Byrd, VL, Mayfield-Donahoo T, Reddy, MS, Jeffcoat, MK. (1998). Semiautomated image registration for digital subtraction radiography. Oral Surgery Oral Medicine Oral Pathology 85:473-478.

Conference Papers

  1. Byrd, V. L., Saraswat, D., & *Ahmad, A. (2023). Pilot Course in Data Visualization with a Multidisciplinary Approach: Technology + Agricultural Engineering. In Proceedings of IEEE Frontiers in Education (FIE), October 2023.
  2. *Mahadalkar, I. A., and Byrd, V. L. (2023). Data Visualization Capacity (DVC) Building Tool for Teaching and Learning Data Visualization. In Proceedings of IEEE Frontiers in Education (FIE), October 2023.
  3. *Jaiyeoba, O., & Byrd, V. (2022). Literature-Based Discoveries in Lupus Treatment. International Journal of Health and Medical Engineering, 16(9), 124-132.
  4. Vazquez-Ingelmo, A., Garcia-Penalvo, F. J., Theron, R., Byrd, V., and Camba, J. D. (2022). A proposal to measure the understanding of data visualization elements in visual analytics applications. CEUR-WS.org
  5. Byrd, V. L. (2021). Zoom Experiences in Higher Education: helping college student build data visualization capacity remotely. In Proceeding of IEEE Frontiers in Education (FIE).
  6. Byrd, V. L. (2021). Design Activity Worksheet: Identifying Data Sources for Developing a Research Plan. In Proceeding of IEEE Frontiers in Education (FIE).
  7. Byrd, V. L. (2021). Innovative Pedagogy for Teaching and Learning Data Visualization. American Society for Engineering Education (ASEE), July 26 – 29, 2021.
  8. Byrd, V. L. (2021). Using Dear Data Project to Introduce Data Literacy and Information Literacy to Undergraduates. In: Arabnia H.R., Deligiannidis L., Tinetti F.G., Tran QN. (eds) Advances in Software Engineering, Education, and e-Learning. Transactions on Computational Science and Computational Intelligence. Springer, Cham.131 – 142.   doi.org/10.1007/978-3-030-70873-3_10
  9. **Zheng, A., & Byrd, V. L. (2020). Students’ perception of a method for identifying topics for research questions, 2020 IEEE Frontiers in Education (FIE), Virtual Conference, October 21 – 24, 2020, 1-8.   doi: 10.1109/FIE44824.2020.9274027
  10. **Kanter, N. & Byrd, V. L. (2020). A method for transforming a broad topic to a focused topic for developing research questions, 2020 IEEE Frontiers in Education (FIE), Virtual Conference, October 21 – 24, 2020, 1-7.   doi: 10.1109/FIE44824.2020.9273817
  11. ** Pecher, D., *Chu, Z., & Byrd, V. L. (2020). Developing research questions: a method for transforming a question into a problem statement, 2020 IEEE Frontiers in Education (FIE), Virtual Conference, October 2020, 1-8.   doi: 10.1109/FIE44824.2020.9274275
  12. Byrd, V., & Camba, J. (2020a). Design activity worksheets for developing research questions, American Society of Engineering Education (ASEE), Virtual Conference, June 21 – 24, 2020.
  13. Byrd, V., & Camba, J. (2020b). A worksheet method for developing research questions: an examination of three graduate student cohorts, 2020 IEEE Frontiers in Education (FIE), Virtual Conference,1 – 7, October 21 – 24, 2020.   doi.org/10.1109/FIE44824.2020.9273883
  14. Byrd, V., & Asunda, P. (2020). Using Evidence Based Practices and Learning to Enhance Critical Thinking Skills in Students through Data Visualization, 2020 IEEE Frontiers in Education (FIE), Virtual Conference, 1-9, October 21 – 24, 2020.   doi.org/10.1109/FIE44824.2020.9274157
  15. Bosman, L., §Madamanchi, B., Bartholomew, S., & Byrd, V. (2020). Applying Artificial Intelligence to the Beer Game, American Society for Engineering Education Annual Conference, June 21 – 24, 2020. [Best Paper]
  16. *Lei, X., & Byrd, V.L. (2020). Real-time rendering with heterogeneous GPUs. In Proceedings of 14th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2020 (CGVCVIP 2020).
  17. Byrd, V., Ladd, B., & Roark, K. (2020). Usability of data visualization activity worksheets in the context of a critical data visualization workshop: findings from a usability survey. American Society for Engineering Education Annual Conference, June 21 – 24, 2020.
  18. Byrd, V. (2021). Using dear data project to introduce data literacy, and information literacy to undergraduates. In Proceedings of the 16th Int'l Conference on Frontiers in Education (FECs’20): Computer Science and Computer Engineering. Transactions on Computational Science and Computational Intelligence Book Series, Springer Nature.
  19. Byrd, V. (2019). Using Bloom’s Taxonomy to Support Data Visualization Capacity Skills. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 1039-1053. Association for the Advancement of Computing in Education (AACE). [Outstanding Paper Award]   https://www.learntechlib.org/primary/p/212809/
  20. *Periasamy, P., & Byrd, V. L. (2019). Generative Adversarial Networks for Lupus Diagnostics. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 1-8.
  21. §Gonzalez-Torres, A., Byrd, V., and Parsons, P. (2019). VKE: A Visual Analytics Tool for Cyber Security Data. Proceedings of the International Conference on Security and Management (SAM), 56-62.
  22. Byrd, V. (2018). Introducing Data Visualization: A Hands-on Approach for Undergraduates. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 559-565. Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE).   https://www.learntechlib.org/primary/p/185027/
  23. Byrd, V. L., and §Vieira, V. C. (2017, June). Visualization: A conduit for collaborative undergraduate research experiences. In American Society for Engineering Education (Vol. 33).
  24. Byrd, V. L. (2016, August). Broadening participation in visualization. In 2016 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 1-2. IEEE.
  25. §Vieira, C., Parsons, P., & Byrd, V. (2017). Exploring Important and Difficult Concepts to Learn in Information Visualization, 2nd Pedagogy of Data Visualization Workshop, 2017, October 1-6, Phoenix, Arizona, USA, IEEE.
  26. Byrd, V. L., McGraw, T., Chen, Y., & Connolly, P. (2016). Curriculum development for visualization capacity building. Proceedings of the ASEE Engineering Design Graphics Division, 16-18.
  27. Byrd, V.L., & Witten, T. (2006). Needs Assessment for Scientific Visualization of Multivariate, High-dimensional Microarray Data. BIOCOMP, 103-109.

Book Chapters

  1. González-Torres, A., Hernández-Campos, M., González-Gómez, J., Byrd, V. L., & Parsons, P. (2020). Information Visualization as a Method for Cybersecurity Education. In Innovations in Cybersecurity Education, 55-70. Springer, Cham.
  2. Byrd, V. L. (2019). Sharing Research Data, Data Standards and Improving Opportunities for Creating Visualizations. In Kramer-Smyth, J. (Ed.) Partners for Preservation: Advancing Digital Preservation through Cross-Community Collaboration, 167-184. UK: Facet Publishing.
  3. Byrd, V., & Gaither, K. (2019). Chapter 5: Community On-ramps, in Diversity in visualization.Metoyer, R., and Gaither, K. Eds, Synthesis Lectures on Visualization, Niklas Elmqvist & David Ebert, Series Editors, 6(1), 31-38. Morgan & Claypool.

Reviewed Book Chapters

  1. Camba, J.D. & Company, P. (2020). Chapter 3 Information Graphics, in Foundations of Computer Graphics: A User-Centered Approach. eAcademic Books. ISBN: 978-0-9962452-1-0.

Abstracts (Peer Reviewed)

  1. Byrd, V. L. (2018). Special Snapshot Section: Making a Case for Data Visualization at the Undergraduate Level. The Journal of Purdue Undergraduate Research, 8(1), 26.
  2. Byrd, V. (2016). Broadening participation in visualization. 2016 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 1-2. doi: 10.1109/RESPECT.2016.7836177.
  3. Byrd, V., & Cottam, J. (2016). Facilitating visualization capacity building. Proceedings of the 9th International Symposium on Visual Information Communication and Interaction, 156.
  4. Byrd, V., Pulliam, R., Reddy, M. S., & Jeffcoat, M. K. (1997, January). Accuracy of stimulated lesion detection using semiautomatic alignment for digital subtraction radiography in human subjects. In Journal of Dental Research, 76, 2854-2854. 1619 Duke St, Alexandria, VA 22314: American Association of Dental Research.
  5. Byrd, V., Mayfield-Donahoo, T., Pulliam, R., Reddy, M. S., & Jeffcoat, M. K. (1996, January). Semiautomatic alignment and correction of affine geometric discrepancies for digital subtraction radiography. In Journal of Dental Research, vol. 75, 1694-1694. 1619 Duke St, Alexandria, VA, 22314: American Association of Dental Research.
  6. Byrd, V., Mayfield-Donahoo, T., Reddy, M. S., & Jeffcoat, M. K. (1995, January). Automated selection of reference points for Superimposition of Radiographs. In Journal of Dental Research, 74, 68-68. 1619 Duke St, Alexandria, VA 22314: American Association of Dental Research.

Posters

  1. Byrd, V. L. & Asunda, P. Using Evidenced Based Practices and Learning to Enhance Critical Thinking Skills in Student Through Data Visualization. Faculty Research Poster Session, Future Work and Learning Research Impact Area, Purdue University, November 15, 2023.
  2. Byrd, V. L. (2019, July). Facilitating Deep Learning Through Vertical Integration Between Data Visualization Courses Within an Undergraduate Data Visualization Curriculum. In International Conference on Human-Computer Interaction (pp. 193-201). Springer, Cham.
  3. Byrd, V. L. (2015, August). Broadening Participation in Visualization. Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT 2015); STC Broadening Participation in the Computing Science. Charlotte, NC, August 13-14, 2015.
  4. Byrd, V. (2015, August). Advancing the Frontiers of Interdisciplinary Research by Broadening Participation in Visualization. Gordon Research Conference on Visualization in Science & Education, Bates College, Lewiston, ME.
  5. Moysey, S. M., Boyer, D. M., Mobley, C., & Byrd, V. L. (2014). Building Opportunities for Environmental Education Through Student Development of Cyberinfrastructure. AGUFM, 2014, ED53B-3486.
  6. Byrd, V. L. (2014, September). Advancing Frontiers of Interdisciplinary Research Utilizing Cyberinfrastructure Resources, CI-Expo, Clemson University, Clemson, SC.
  7. Moysey, S., Mobley, C., Boyer, M. & Byrd, V. (2014, September). “Expressing Sustainability within the Web-Based Multiplayer Game Naranpur Online,” Bosch, M. CISE REU Symposium, Student Poster Session, Arlington, VA.
  8. **McDavid, J. & Byrd, V. (2014, July). “Reconstructing History,” Extreme Science and Engineering Discovery Environment (XSEDE), Student poster session, Atlanta, Georgia.
  9. **Park, C., & Byrd, V. (2013, July). “Visualizing Social Media Data,” Extreme Science and Engineering Discovery Environment (XSEDE), Student poster session, San Diego, California.
  10. Byrd, V. (2010, March). “A Multiresolution Approach for Improved Quality Control of Microarray Images.” National Faculty Collaborative Research Poster Competition, 2010 Minority Faculty Development Workshop, Massachusetts Institute of Technology, Cambridge, Massachusetts. Recognized as Winner, Presentation Category.
  11. Byrd, V. (2009, April). “Parallel Clustering Tool for Liquid-Chromatography Mass-Spectrometry (LC/MS) Data,” Mentor: Frank Suits, PhD, Computational Biology Center, IBM T. J. Watson Research Center, NY, 2009 Graduate Student Research Day, University of Alabama at Birmingham.
  12. Byrd, V. (2008, August). “A Parallel Clustering Tool for Peak Matching Liquid-Chromatography Mass-Spectrometry Data,” Summer Intern Poster Session. IBM T. J. Watson Research Center, Functional Genomics and Systems Biology Research Group, Yorktown Heights, New York.
  13. Byrd, V. (2005, August). “A Novel Approach for Analyzing and Visualizing High-Dimensional, Multivariate Microarray Data,” Bioinformatics and Bioengineering Summer Institute (BBSI) Virginia Commonwealth University, Dr. Tarynn M. Witten, Mentor. Center for the Study of Biological Complexity.
  14. Byrd, V. (2005, March). “3D Surface Construction Using Dualing Cubes Algorithm,” Byrd, V.Alabama Academy of Science 2008, Birmingham Southern College.
  15. Byrd, V. (2004). “Multivariate High Dimensional Visualization and Analysis of Microarray Data Incorporating Simultaneous Spatial and Temporal Components,” Byrd, V. Bioinformatics and Bioengineering Summer Institute (BBSI) Virginia Commonwealth University, Dr. Tarynn M. Witten, Mentor. Center for the Study of Biological Complexity.

OTHER

  1. White Paper: Workshop on Applications and Services in the Year 2021. Applications and Services Workshop, January 27-28, 2016, Arlington, VA