Ting Xiao

Previous Scheduled Teaching

Published Intellectual Contributions

Book Chapter

• Tabashum, T., Nandigam, S., Xiao, T. (2022). Autoencoders and embeddings: how unsupervised structural learning enables fast and efficient goal-directed learning. Bridging Human and Artificial Intelligence, Springer.
• Xiao, T., Albert, M.V. (2021). Xiao T, Albert MV (2021) “Big Data in Medical AI: how larger datasets lead to robust, automated learning for healthcare” in Artificial Intelligence in Brain and Mental Health. Editors: Marcello Ienca, Mingyu Liang, Fabrice Jotterand. Springer.

Conference Proceeding

• Xiao, T., Guha, P., Tajuddin, A. (2025). Automated Summary Index of Social Engagement through Autoencoders in a Mobile Dashboard Application. The 9th International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing (HEALTHINFO 2024).
• Ali, S., Zhang, S., Mhatre, S., Xiao, T. (2024). Advancing Wildfire Predictive Models: A Novel Dataset for Next-Day Wildfire Spread. Artificial Intelligence x Science, Engineering, and Technology (IEEE AIxSET).
• Bevara, R., Wagenvoord, I., Hosseini, F., Sharma, H., Nunna, V., Xiao, T. (2024). Cencus2Vec: Enhancing Socioeconomic Predictive Models with Geo-Embedded Data. The 10th Intelligent Systems Conference 2024 (IntelliSys 2024).
• Veluru, V., Xiao, T., Addagudi, S., Mohanraj, G., Kumar, S. (2024). Machine Learning Optimization Model to Predict Fantasy Basketball Teams. The 2024 International Conference on Computing and Data Science (ICCDS 2024).
• Behpour, S., Ryan, S., Bevara, R., Bonds, C., Xiao, T. (2024). Triangulating Mixed Methods to Assess Trends and Impacts in the Journal of International Economic Law. The 19th International Conference on Knowledge Management 2024 "Navigating Inequities and Social Justice in the Age of Artificial Intelligence" (ICKM 2024).
• Bevara, R., Xiao, T., Hosseini, F., Ding, J. (2023). Bias Analysis in Language Models using An Association Test and Prompt Engineering. The 23rd IEEE International Conference on Software Quality, Reliability, and Security (IEEE QRS 2023).
• Bevara, R., Yarra, D., Kolli, H., Sanku, S., Xiao, T. (2023). Customer Segmentation Beyond K-Means: A Deep and Hybrid Perspective with Autoencoders Based Behavioral Embeddings. The 2023 Multidisciplinary Information Research Symposium (MIRS 2023),.
• Veluru, V., Addagudi, S., Mohanraj, G., Sumar, S., Xiao, T. (2023). Machine Learning Optimization Model to Predict Fantasy Basketball Teams. The 2023 Multidisciplinary Information Research Symposium (MIRS 2023),.
• Zarei, M., Hosseini, F., Nickfarjam, A., Xiao, T. (2023). Predicting User Interest using Hierarchical-based Clustering for Recommender Systems. The 7th International Conference of SNIKOM 2023 (ICosNIKOM 2023).
• Haleem, Y., Wagenvoord, I., Wei, Q., Xiao, T., Shu, T., Ji, Y. (2023). Understanding Nationwide Power Outage and Restoration for Future Prediction. 7th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC).
• Ali, S.H., Goel, A., Sigirikonda, A., Khan, A., Xiao, T. (2022). Towards a Comprehensive Dataset for Next-Day Wildire Prediction. 22nd IEEE International Conference on Software Quality, Reliability, and Security (QRS 2022).
• Phan, N., Madali, N.P., Behpour, S., Xiao, T. An Interactive Web-based Dashboard to Examine Trending Topics: Application to Financial Journals. 17th International Conference on Knowledge Management 2022 “Knowledge, Uncertainty and Risks: From individual to global scale” (ICKM 2022).
• Yi, Z., Xiao, T., Kaz-Onyeakazi, I., Ratnam, C. Stock2Vec: An Embedding to Improve Predictive Models for Companies. 17th International Conference on Knowledge Management 2022 “Knowledge, Uncertainty and Risks: From individual to global scale” (ICKM 2022).
• Xiao, T., Greenberg, R., Albert, M.V. (2021). Design and assessment of a task-driven introductory data science course taught concurrently in multiple language: Python, R, and MATLAB. 26th ACM INNOvation and Technology in Computer Science Education (ITiCSE 2021).
• Xiao, T., Tabashum, T., Olness, G.S., Mahbub, I., Berman, D., Tasneem, N., Albert, M.V. (2020). Mobile Diarization Dashboard Application and Remote Vocalization Sensor Prototype for Evaluating Communication Rehabilitation Effectiveness. 2020 American Congress of Rehabilitation Medicine Conference.
• Xiao, T., Tabashum, T., Jebamalaidass, R., Du, A., Leal, M., Oliviera, E., Metwally, B., Albert, M.V. (2020). “Conversation Moderator: A mobile app for tracking individual speaking in group conversations”, 14th IEEE International Conference on Semantic Computing (ICSC 2020), San Diego, Feb 3-5, 2020..

Journal Article

• Bevara, R., Mannuru, N., Karedla, S., Xiao, T. (2024). Scaling Implicit Bias Analysis across Transformer-based Models through Embedding Association Test and Prompt Engineering. Applied Sciences.
• Biancardi, M., Kang, W., Xiao, T., Grubesic, T., Nelson, J., Liang, L. (2024). Exploring Spatiotemporal Dynamics, Seasonality, and Time-of-Day Trends of PM2.5 Pollution with a Low-Cost Sensor Network: Insights from Classic and Spatially Explicit Markov Chains. Applied Geography.
• Phan, N., Madali, N.P., Behpour, S., Xiao, T. (2023). An Interactive Web-based Dashboard to Examine Trending Topics: Application to Financial Journals. Journal of Information & Knowledge Management.
• Tabashum, T., Xiao, T., Jayaraman, C., Mummidisetty, C., Jayaraman, A., Albert, M. (2022). Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation. Bioengineering 2022, 9(10), 572.
• The PANDA Collaboration. (2022). Technical design report for the endcap disc DIRC. Journal of Physics G: Nuclear and Particle Physics, 49(12), 120501.
• Tabashum, T., Zaffer, A., Yousefzai, R., Colletta, K., Jost, M., Park, Chawla, J., Albert, M.V., Gaynes, B., Xiao, T. (2021). (2021) Detection of Parkinson’s Disease through Automated Pupil Tracking of the Post-illumination Pupillary Response. Frontiers in Medicine. 8:645293. doi: 10.3389/fmed.2021.645293 (IF 5.1, 9 pages).
• Gaynes, Zaffer, Yousefzai, R., Chazaro-Cortes, M., Colette, K., Kletzel, S., Jost, M., Park, Y., Chawla, J., Albert, M.V., Xiao, T. (2021). (2021) Variable abnormality of the melanopsin-derived portion of the pupillary light reflex in patients with Parkinson’s disease and parkinsonism features. Neurological Sciences, 1-8. DOI: 10.1007/s10072-021-05245-8 (8 pages).
• Behpour, S., Mohammadi, M., Albert, M.V., Alam, Z., Wang, L., Xiao, T. (2021). Behpour S, Mohammadi M, Albert MV, Alam Z, Wang L, Xiao T (2021) Automatic Trend Detection: Time-Biased Document Clustering. Knowledge-based Systems, vol 220, 106907. doi:10.1016/j.knosys.2021.106907 (IF 8.0, 13 pages).
• The PANDA Collaboration. (2021). Feasibility Studies for the Measurement of Time-like Proton Electromagnetic Form Factors from pp+- at PANDA at FAIR. The European Physical Journal A, 57(1), 30.
• The PANDA Collaboration. (2021). PANDA Phase One: PANDA Collaboration. The European Physical Journal A, 57(6), 184.
• The PANDA Collaboration. (2021). Study of Excited Baryons with the PANDA Detector. The European Physical Journal A, 57(4), 149.
• The GlueX Collaboration. (2021). The GLUEX Beamline and Detector. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 987, 164807.
• The PANDA Collaboration. (2021). The Potential of and - Studies with PANDA at FAIR. The European Physical Journal A, 57(4), 154.
• Zelman, S., Dow, M., Tabashum, T., Xiao, T., Albert, M.V. (2020). Accelerometer-based automated counting of ten exercises without exercise-specific training or tuning. Journal of Healthcare Engineering, vol. 2020, Article ID 8869134, 6 pages, 2020. https://doi.org/10.1155/2020/8869134.
• The GlueX Collaboration. (2020). Measurement of the Photon Beam Asymmetry in pK+0 at E= 8.5 GeV. Phys. Rev. C 101, 065206.
• The GlueX Collaboration. (2019). Beam Asymmetry for the Photoproduction of and ' Mesons at E= 8.8 GeV. Phys. Rev. C 100, 052201(R).
• The GlueX Collaboration. (2019). First Measurement of Near-Threshold J/ψ Exclusive Photoproduction off the Proton. Phys. Rev. Lett. 123, 072001.
• The PANDA Collaboration. (2019). Precision Resonance Energy Scans with the PANDA Experiment at FAIR. The European Physical Journal A, 55 (3) 42, 1-18.
• The PANDA Collaboration. (2019). Technical Design Report for the PANDA Barrel DIRC Detector. Journal of Physics G: Nuclear and Particle Physics 46, 045001.
• Sok, P., Xiao, T., Azeze, Y., Jayaraman, A., Albert, M.V. (2018). Activity Recognition for Incomplete Spinal Cord Injury Subjects using Hidden Markov Models. IEEE Sensors 18(15), 6369-6374..
• Xiao, T., Dobbs, S., Tomaradze, A., Seth, K.K. (2018). Measurements of Ω− Branching Fractions. Phys. Rev. D 98 (1), 012007.
• Xiao, T., Dobbs, S., Tomaradze, A., Seth, K.K. (2018). Precision Measurement of the Hadronic Contribution to the Muon Anomalous Magnetic Moment. Phys. Rev. D 97 (3), 032012.
• Dobbs, S., Seth, K.K., Tomaradze, A., Xiao, T., Bonvicini, G. (2017). Hyperon Form Factors and Diquark Correlations. Phys. Rev. D 96 (9), 092004.
• Tomaradze, A., Dobbs, S., Xiao, T., Seth, K.K. (2015). Comprehensive Study of the Radiative Decays of J/ψ and ψ(2S) to Pseudoscalar Meson Pairs, and Search for Glueballs. Phys. Rev. D 91 (5), 052006.
• Tomaradze, A., Dobbs, S., Xiao, T., Seth, K.K. (2015). Precision Measurement of the Mass of the D*0 Meson and the Binding Energy of the X(3872) Meson as a D0D*0 Molecule. Phys. Rev. D 91 (1), 011102.
• Seth, K.K., Dobbs, S., Xiao, T., Tomaradze, A., Bonvicini, G. (2014). First Measurement of the Electromagnetic Form Factor of the Neutral Kaon at a Large Momentum Transfer and the Effect of SU(3) Breaking. Phys. Letts. B 730, 332-335.
• Dobbs, S., Tomaradze, A., Xiao, T., Seth, K.K., Bonvicini, G. (2014). First Measurements of Timelike Form Factors of the Hyperons, Λ0, Σ0, Σ+, Ξ0, Ξ−, and Ω−, and Evidence of Diquark Correlations. Phys. Lett. B 739, 90-94.
• Tomaradze, A., Dobbs, S., Xiao, T., Seth, K.K., Bonvicini, G. (2014). High Precision Measurement of the Masses of the D0 and KS Mesons. Phys. Rev. D 89 (3), 031501.
• Seth, K.K., Xiao, T., Dobbs, S., Tomaradze, A., Bonvicini, G. (2013). Electromagnetic Structure of the Proton, Pion, and Kaon by High-Precision Form Factor Measurements at Large Timelike Momentum Transfers. Phys. Rev. Lett. 110 (2), 022002.
• Xiao, T., Dobbs, S., Tomaradze, A., Seth, K.K. (2013). Observation of the Charged Hadron Zc(3900)and Evidence for the Neutral Zc0(3900)ine+e-J/ at s=4170MeV. Phys. Lett. B 727 (4), 366-370.
• Xiao, T., Dobbs, S., Tomaradze, A., Seth, K.K., Bonvicini, G. (2013). Search for Radiative Production of the ‘Exotic’ Mesons X(3872, 3915, 3930, 3940) from (4160). Phys. Rev. D 87 (5), 057501.
• Dobbs, S., Tomaradze, A., Metreveli, Z., Xiao, T., Seth, K.K. (2012). First Measurement of Exclusive Hadronic Decays of (1S) and (2S). Phys. Rev. D 86 (5), 052003.
• Dobbs, S., Tomaradze, A., Metreveli, Z., Xiao, T., Seth, K.K. (2012). Observation of b(2S) in (2S)b(2S), b(2S)hadrons, and confirmation of b(1S). Phys. Rev. Lett. 109 (8), 082001.

Poster

• Khan, A., Ali, S., Goel, A., Singirikonda, A., Xiao, T. (2023). Modeling Wildfire Spread Using Deep Learning and Heterogenous Remote Sensing Data. The 2023 CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference (TAPIA 2023).
• Upreti, S., Kshirsagar, S., Behpour, S., Vachakarla, A., Xiao, T. (2023). Temporal Topic Modeling to Determine Trends in Artificial Intelligence. The 2023 CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference (TAPIA 2023).
• Haleem, Y., Wagenvoord, I., Wei, Q., Shu, T., Yue, J., Xiao, T. (2023). Understanding Nationwide Power Outage and Restoration for Future Predication. The 7th Annual Smoky Mountains Computational Science and Engineering Conference Data Challenge (SMCDC 2023).
• Goel, A., Singirikonda, A., Xiao, T. (2023). Wildfire Feature Engineering and Aggregation Utilizing Granularized Geospatial Data. The 103rd American Meteorological Society Annual Meeting (AMS 2023).
• George, D., Vattikuti, V.H., Pitts, J., Alam, Z.S., Xiao, T. (2023). Transformer-based Stock2Vec for Accurate Company Clustering. Denton, TX, AI Summer Research Program, University of North Texas. https://drive.google.com/drive/folders/1_-n6OIdevVBkWrpjmdtR7YYGp7kzUW5j

Science Fair

• Goel, A., Singirikonda, A., Xiao, T. (2023). Future Wildfire Spread Prediction Utilizing a Comprehensive Remote Sensing Dataset Combining Weather Feature Data. The 72nd Fort Worth Regional Science and Engineering Fair (FWRSEF).

Contracts, Grants and Sponsored Research

Grant - Research

• Xiao, T. (Principal), Ding, J. (Co-Principal), "REU Supplement: Beyond Language: Training to Create and Share Vector Embeddings across Applications," sponsored by NSF, Federal, $20000 Funded. (2024 - 2026).
• Xiao, T. (Principal), "Integrative AI Models for Enhanced Wildfire Prediction and Disaster Mitigation," sponsored by College of Information, University of North Texas, $5000 Funded. (2025 - 2026).
• Xiao, T. (Principal), Ding, J. (Co-Principal), Albert, M.V. (Supporting), Alam, Z.S. (Supporting), Hartmann, F. (Supporting), Wang, Y. (Supporting), Liang, L. (Supporting), Chen, H. (Supporting), Du, J. (Supporting), Azad, R.K. (Supporting), "NSF REU site: Beyond Language: Training to Create and Share Vector Embeddings across Application," sponsored by NSF, Federal, $403547 Funded. (2023 - 2025).
• Malarvizhi Kumar, P. (Principal), Xiao, T. (Co-Principal), Korani, W. (Co-Principal), "Cohort II of the Capacity Building for Research at Minority-Serving Institutions: Infrastructure Research Readiness," sponsored by NSF, Federal, $3000 Funded. (2023 - 2024).
• Xiao, T. (Principal), Albert, M.V. (Co-Principal), "AI4ALL College Pathways Program," sponsored by AI4ALL, National, $3517.5 Funded. (2023 - 2024).
• Xiao, T. (Principal), "Creating, Organizing, and Sharing Vector Embeddings across Application Domains," sponsored by College of Information, University of North Texas, $4000 Funded. (2023 - 2024).
• Zhao, H. (Principal), Albert, M. (Co-Principal), Xiao, T. (Supporting), "REU Site: Interdisciplinary Research Experience on Accelerated Deep Learning through A Hardware-Software Collaborative Approach," sponsored by NSF, Federal, $389725 Funded. (2021 - 2023).
• Xiao, T. (Principal), Albert, M.V. (Co-Principal), "AI4ALL College Pathways Program," sponsored by AI4ALL, National, $7035 Funded. (2022 - 2023).
• Xiao, T. (Principal), Rout, B. (Co-Principal), "Machine learning applications in high-energy particle physics through the GlueX and PANDA collaborations," sponsored by Division of Research & Innovation, University of North Texas, $10000 Funded. (2022 - 2023).
• Xiao, T. (Principal), Albert, M.V. (Co-Principal), "AI4ALL College Pathways Program," sponsored by AI4ALL, National, $9503 Funded. (2021 - 2022).
• Xiao, T. (Principal), Albert, M.V. (Co-Principal), "AI4ALL College Pathways Program," sponsored by AI4ALL, National, $2468 Funded. (2020 - 2021).

Grant - Service

• Albert, M.V. (Co-Principal), Xiao, T. (Principal), "AI4All College Pathways Program," sponsored by AI4ALL, NFP, Funded. (2021 - 2022).
• Albert, M.V. (Principal), Xiao, T. (Principal), "AI4All College Pathways Program," sponsored by AI4ALL, NFP, Funded. (2021 - 2021).

Grant - Teaching

• Xiao, T. (Principal), "Google Cloud Education Grant," sponsored by Google, University of North Texas, $36300 Funded. (2019 - 2026).
• Xiao, T. (Principal), "Google Cloud Education Grant," sponsored by Google, University of North Texas, Funded. (2020 - 2022).