Tempestt Neal, Ph.D.

Tempestt Neal, Ph.D.

Associate Professor of Computer Science and Engineering at the University of South Florida. Cybersecurity, biometrics, and applied mobile-based sensing researcher.

Publications

Refereed Book Chapters

  1. Neal, T., Woodard, D. (2020). “Presentation Attacks in Mobile and Continuous Behavioral Biometric Systems.” In: Bourlai, T., Karampelas, P., Patel, V.M. (eds) Securing Social Identity in Mobile Platforms. Springer, Cham. https://doi.org/10.1007/978-3-030-39489-9_2

  2. Neal, T.J., Woodard, D.L., Striegel, A.D. (2017). “Mobile device usage data as behavioral biometrics.” In Mobile Biometrics. IET Digital Library. https://doi.org/10.1049/PBSE003E_ch7

Refereed Journal Articles

  1. S. L. King and T. Neal, “Applications of AI-Enabled Deception Detection Using Video, Audio, and Physiological Data: A Systematic Review,” in IEEE Access, vol. 12, pp. 135207-135240, 2024, doi: 10.1109/ACCESS.2024.3462825.

  2. A. Negro, F. Montagna, M. N. Teng, T. Neal, S. Thomas, and S. King, “Analysis of the Evolution of COVID-19 Disease Understanding Through Temporal Knowledge Graphs,” Frontiers in Research Metrics and Analytics, vol. 8, 2023, doi: 10.3389/frma.2023.1204801.

  3. M. Chaudhary, K. Kosyluk, S. Thomas, and T. Neal, “On the Use of Aspect-Based Sentiment Analysis of Twitter Data to Explore the Experiences of African Americans During COVID-19,” Scientific Reports, vol. 13, 10694, 2023, https://doi.org/10.1038/s41598-023-37592-1.

  4. K. A. Kosyluk, J. T. Tran, S. King, K. Torres, and T. Neal, “Preliminary Effectiveness Study of the Cope Notes Digital Mental Health Program,” Journal of Mental Health, 2023, doi: 10.1080/09638237.2023.2182424.

  5. S. L. King, J. Lebert, L. A. Karpisek, A. Phillips, T. Neal, and K. Kosyluk, “Characterizing User Experiences with an SMS Text Messaging–Based mHealth Intervention: Mixed Methods Study,” JMIR Formative Research, vol. 6, e35699, May 2022, https://doi.org/10.2196/35699.

  6. T. Neal and D. L. Woodard, “You Are Not Acting Like Yourself: A Study on Soft Biometric Classification, Person Identification, and Mobile Device Use,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 1, pp. 109–122, 2019.

  7. T. Neal, K. Sundararajan, A. Fatima, Y. Yan, Y. Xiang, and D. Woodard, “Surveying Stylometry Techniques and Applications,” ACM Computing Surveys, vol. 50, Nov. 2017, https://doi.org/10.1145/3132039.

  8. T. Neal and D. L. Woodard, “Surveying Biometric Authentication for Mobile Device Security,” Journal of Pattern Recognition Research, vol. 1, p. 4, 2016, https://doi.org/10.13176/11.764.

Refereed Conference and Workshop Articles

  1. S. Aathreya, M. Chaudhary, T. Neal, and S. Canavan, “Multimodal Context-Based Continuous Authentication,” 2023 IEEE International Joint Conference on Biometrics (IJCB), Ljubljana, Slovenia, 2023, pp. 1–10, doi: 10.1109/IJCB57857.2023.10448626. Acceptance rate: 36.2%

  2. King, S.L., Johnson, N., Kosyluk, K., Neal, T. (2023). Therapist Perceptions of Automated Deception Detection in Mental Health Applications. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2023. Lecture Notes in Computer Science, vol 14050. Springer, Cham. https://doi.org/10.1007/978-3-031-35891-3_6.

  3. Lozano, W., King, S., Neal, T. (2023). Observations of Caregivers of Persons with Dementia: A Qualitative Study to Assess the Feasibility of Behavior Recognition Using AI for Supporting At-Home Care. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. HCII 2023. Lecture Notes in Computer Science, vol 14043. Springer, Cham. https://doi.org/10.1007/978-3-031-34917-1_23.

  4. N. Loecher, S. King, J. Cabo, T. Neal, and K. Kosyluk, “Assessing the Efficacy of a Self-Stigma Reduction Mental Health Program with Mobile Biometrics: Work-in-Progress,” 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), Waikoloa Beach, HI, USA, 2023, pp. 1–6, doi: 10.1109/FG57933.2023.10042655.

  5. Tempestt Neal, Lisa Anthony, Shaun Canavan, Jaime Ruiz, Saandeep Aathreya, Meghna Chaudhary, Yu-Peng Chen, Heting Wang, Rodrigo Calvo, Liza Jivnani, and Nicolas Ng Wai, “Toward understanding children’s use and understanding of user authentication systems: Work-in-progress,” USENIX Symposium on Usable Privacy and Security (SOUPS), Boston, MA, USA, August 2022.

  6. Parush Gera and Tempestt Neal, “A comparative analysis of stance detection approaches and datasets,” Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, pages 58–69, Online, November 2022. Association for Computational Linguistics. https://aclanthology.org/2022.eval4nlp-1.7.pdf.

  7. Mohamed Ebraheem, Sayde King, and Tempestt Neal, “Lip movement as a wifi-enabled behavioral biometric: A pilot study,” In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters, pages 473–480, Cham, 2022. Springer International Publishing.

  8. Khadija Zanna, Tempestt Neal, and Shaun Canavan, “Clustering of physiological signals by emotional state, race, and sex,” Companion Publication of the 2021 International Conference on Multimodal Interaction (ICMI ‘21 Companion), pp. 312–316, New York, NY, USA, 2021. Association for Computing Machinery.

  9. Matthew Sumpter and Tempestt Neal, “User perceptions of article credibility warnings: Towards understanding the influence of journalists and AI agents,” MEDIATE 2021 in conjunction with the 15th International AAAI Conference on Web and Social Media (ICWSM), 2021.

  10. SK Rahatul Jannat, Diego Fabiano, Shaun Canavan, and Tempestt Neal, “Subject identification across large expression variations using 3D facial landmarks,” In: Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G.M., Mei, T., Bertini, M., Escalante, H.J., Vezzani, R. (eds) Pattern Recognition: ICPR International Workshops and Challenges, pages 5–13, Cham, 2021. Springer International Publishing.

  11. Tempestt Neal and Ashokkumar Patel, “A brief literature review and survey of adult perceptions on biometric recognition for infants and toddlers,” 2020 IEEE International Joint Conference on Biometrics (IJCB), pages 1–10, 2020.

  12. Tempestt Neal and Shaun Canavan, “Mood versus identity: Studying the influence of affective states on mobile biometrics,” 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pages 562–566, 2020.

  13. Sayde King, Mohamed Ebraheem, Khadija Zanna, and Tempestt Neal, “Learning a privacy-preserving global feature set for mood classification using smartphone activity and sensor data,” 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pages 582–586, 2020.

  14. Parush Gera, Nadia Thomas, and Tempestt Neal, “Hesitation while posting: A cross-sectional survey of sensitive topics and opinion sharing on social media,” International Conference on Social Media and Society (SMSociety’20), page 134–140, New York, NY, USA, 2020. Association for Computing Machinery.

  15. B. M. S. Bahar Talukder, Vineetha Menon, Biswajit Ray, Tempestt Neal, and Md Tauhidur Rahman, “Towards the avoidance of counterfeit memory: Identifying the DRAM origin,” 2020 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), pages 111–121, 2020.

  16. Tempestt Neal and Damon Woodard, “Mobile biometrics, replay attacks, and behavior profiling: An empirical analysis of impostor detection,” 2019 International Conference on Biometrics (ICB), pages 1–8, 2019.

  17. Tempestt Neal, Md Asaduzzaman Noor, Parush Gera, Khadija Zanna, and Gurpreet Kaptan, “Authenticating phone users using a gait-based histogram approach on mobile app sessions,” 2019 International Conference on Biometrics (ICB), pages 1–7, 2019.

  18. Tempestt Neal and Damon L. Woodard, “On the use of mobile calling patterns for soft biometric classification,” 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), pages 1–6, 2018.

  19. Tempestt Neal and Damon L. Woodard, “A gender-specific behavioral analysis of mobile device usage data,” 2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA), pages 1–8, 2018.

  20. Tempestt Neal, Kalaivani Sundararajan, and Damon Woodard, “Exploiting linguistic style as a cognitive biometric for continuous verification,” 2018 International Conference on Biometrics (ICB), pages 270–276, 2018.

  21. Kalaivani Sundararajan, Tempestt Neal, and Damon Woodard, “Style signatures to combat biometric menagerie in stylometry,” 2018 International Conference on Biometrics (ICB), pages 263–269, 2018.

  22. Tempestt Neal and Damon L. Woodard, “Using associative classification to authenticate mobile device users,” 2017 IEEE International Joint Conference on Biometrics (IJCB), pages 71–79, 2017.

  23. Tempestt Neal and Damon L. Woodard, “Spoofing analysis of mobile device data as behavioral biometric modalities,” 2017 IEEE International Joint Conference on Biometrics (IJCB), pages 62–70, 2017.

  24. Tempestt Neal, Damon L. Woodard, and Aaron D. Striegel, “Mobile device application, Bluetooth, and Wi-Fi usage data as behavioral biometric traits,” 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), pages 1–6, 2015.