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

• 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

• 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

• Ding, J. (Principal), Kinshuk, X. (Co-Principal), Fu, S. (Co-Principal), Ludi, S.A. (Co-Principal), Chen, H. (Co-Principal), Hossain, T. (Co-Principal), Xiao, T. (Co-Principal), Feng, Y. (Co-Principal), Cleveland, A.D. (Co-Principal), Smith, D.L. (Co-Principal), Mankins, N. (Co-Principal), Booker, D.D. (Co-Principal), Carrillo, D. (Co-Principal), "NSF Includes ARISE Alliance Membership," sponsored by Arizona State University, Other, $64800 Funded. (2024 - 2027).
• Xiao, T. (Principal), Ding, J. (Co-Principal), "REU Site: Beyond Language: Training to Create and Share Vector Embeddings across Applications," sponsored by NSF, Federal, $403547 Funded. (2023 - 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).
• Kumar, P.M. (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, $26350 Funded. (2020 - 2024).
• Xiao, T. (Principal), "Google Cloud Education Grant," sponsored by Google, University of North Texas, Funded. (2020 - 2022).