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Dr. Ting Xiao

Assistant Professor

University of North Texas

Department of Data Science

(940) 369-5212

Email: Ting.Xiao@unt.edu

Education

  • PhD, Northwestern University, 2016
    Major: Physics and Astronomy
    Specialization: Experimental Particle Physics
  • MS, Northwestern University, 2009
    Major: Physics and Astronomy
  • BS, Zhejiang University, China, 2005
    Major: Physics

Professional Positions

    Professional

  • Assistant Professor, University of North Texas. University of North Texas. (2025 - Present).
  • Assistant Professor (Joint Appointment), University of North Texas. University of North Texas. (2022 - Present).
  • Assistant Professor, University of North Texas. University of North Texas. (2021 - 2024).
  • Research Assistant Professor, University of North Texas. University of North Texas. (2019 - 2021).
  • Adjunct Faculty, University of North Texas. University of North Texas. (2019 - 2021).
  • Postdoctoral Fellow, Northwestern University. Northwestern University. (2016 - 2019).
  • Adjunct Faculty, Loyola University Chicago. Loyola University Chicago. (2017 - 2019).
  • Research Assistant, Northwestern University. Northwestern University. (2009 - 2016).

Licensures and Certifications

  • Teaching Certificate, Northwestern University. (2018 - Present).
  • Faculty Experiential Learning Certificate, Loyola University Chicago. (2018 - Present).

Professional Memberships

  • ANITAB.ORG. (May 2022 - Present).
  • Association for Computing Machinery. (September 2021 - Present).
  • Institute of Electrical and Electronics Engineers. (September 2021 - Present).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 4200 - Web Search and Information Retrieval, 1 course.
  • CSCE 4890 - Directed Study, 2 courses.
  • CSCE 4930 - Topics in Computer Science and Engineering, 2 courses.
  • CSCE 4999 - Senior Thesis, 1 course.
  • CSCE 5200 - Information Retrieval and Web Search, 2 courses.
  • CSCE 5214 - Software Development for Artificial Intelligence, 3 courses.
  • CSCE 5300 - Introduction to Big Data and Data Science, 6 courses.
  • CSCE 5900 - Special Problems, 5 courses.
  • CSCE 5934 - Directed Study, 2 courses.
  • CSCE 5950 - Master's Thesis, 2 courses.
  • CSCE 6940 - Individual Research, 5 courses.
  • DTSC 5502 - Principles and Techniques for Data Science, 5 courses.
  • INFO 5090 - Practicum and Internship in the Field Study, 1 course.
  • INFO 5502 - Principles and Techniques for Data Science, 8 courses.
  • INFO 5900 - Special Problems, 4 courses.
  • INFO 6900 - Special Problems, 4 courses.

Teaching at Other Institutions

  • Loyola University Chicago, COMP 180 Computing and Data Analysis for the Sciences, Spring 2019.
  • Loyola University Chicago, COMP 180 Computing and Data Analysis for the Sciences, Fall 2018.
  • Loyola University Chicago, COMP 180 Computing and Data Analysis for the Sciences, Spring 2018.
  • Loyola University Chicago, COMP 150 Introduction to Computing, Fall 2017.

Directed Student Learning

  • Dissertation Committee Member, "Submodularity in Machine Learning and Aritificial Intelligence," Computer Science and Engineering. (2024).
  • Major Professor, "Sway Index Predictions Using Machine Learning Models," Data Science. (2024).
  • Dissertation Committee Co-Chair, "Compensation Contract Similarity," Computer Science and Engineering. (2023).
  • Dissertation Committee Member, "Voice-Driven Modeling: Software Modeling Using Automated Speech Recognition," Computer Science and Engineering. (2023).
  • Major Professor, "OpenTest: Assessment Tool for CSE Courses," Information Science. (2023).
  • Dissertation Committee Member, "Autoencoder Approach to Quantify Gait Data for Surgery Result Prediction in Children with Cerebral Palsy," Computer Science and Engineering. (2022).
  • Dissertation Committee Member, "Improving Gait Quality Assessment and Predict Fall Risk Through Robust Model," Computer Science and Engineering. (2022).
  • Dissertation Defense Committee Chair, "Multimodal Hail Footprint Modeling Using Deep Learning," Computer Science and Engineering. (2022).
  • Major Professor, "CENSLOC: Census-based Location Embeddings for Enhanced Predictions," Information Science. (2022).
  • Major Professor, "Comprehensive Dataset Utilizing Meteorological and Topographical Features For Next-Day Wildfire Spread Prediction," Computer Science and Engineering. (2022).
  • Dissertation Committee Co-Chair, "Automated Report Generation and Visual Question Answering in Radiology with Multimodal Learning," Computer Science and Engineering. (2021).
  • Master's Thesis Committee Chair, "Stock2Vec: Utilizing Embedding for Stock-Risk Prediction," Computer Science and Engineering. (2024 - 2025).
  • Dissertation Committee Chair, "Agentic Information Retrieval Framework for Academic Libraries: A Multi-Agent System for Curated Knowledge Discovery and Evaluation," Information Science. (2022 - 2025).
  • Directed Individual/Independent Study, "Pupil Tracking Software," Computer Science and Engineering. (2024).
  • Directed Individual/Independent Study, "Disease Progression Software," Computer Science and Engineering. (2024).
  • Supervised Research, "Using Dynamic Graph Neural Networks for Temporal Analysis in Financial Markets," Computer Science and Engineering. (2024 - 2024).
  • Supervised Research, "Social Engagement Embeddings of Parkinson’s Disease through Autoencoders," Computer Science and Engineering. (2024).
  • Supervised Research, "Advancing Wildfire Predictive Models: A Novel Dataset for Next-Day Wildfire Spread," Computer Science and Engineering. (2023 - 2024).
  • Dissertation Committee Member, "Autism Knowledge, Awareness, Misinformation and Stigma: Mixed-Methods Study," Information Science. (2021 - 2024).
  • Dissertation Defense Committee Member, "Wearables in Healthcare: Popular Topics and Sentiments in Reddit and a Preliminary Quantitative Study on Health Professionals’ Wearable Adoption," Information Science. (2021 - 2024).
  • Directed Individual/Independent Study, "ATSIRE: Advanced Tracking System with Intelligent Resume Embeddings," Information Science. (2023).
  • Directed Individual/Independent Study, "Climate Data Modeling - Data Engineering," Computer Science and Engineering. (2023).
  • Directed Individual/Independent Study, "Compensation Contract Similarity," Computer Science and Engineering. (2023 - 2023).
  • Directed Individual/Independent Study, "Temporal Topic Modeling to Determine Trends in Artificial Intelligence," Computer Science and Engineering. (2023).
  • Directed Individual/Independent Study, "Applications of Vector Embeddings," Computer Science and Engineering. (2023).
  • Directed Individual/Independent Study, "ATSIRE: Advanced Tracking System with Intelligent Resume Embeddings," Computer Science and Engineering. (2023).
  • Directed Individual/Independent Study, "Next Day Wildfire Prediction," Computer Science and Engineering. (2023).
  • Doctoral Comprehensive Exam Member or Grader, "Voice-Driven Modeling: Software Modeling Using Automated Speech Recognition," Computer Science and Engineering. (2023).
  • Supervised Research, "Predicting User Interest Using Hierarchical-Based Clustering for Recommender Systems," Computer Science and Engineering. (2023 - 2023).
  • Undergraduate Honors Thesis Chair, "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," Computer Science and Engineering. (2023).
  • Directed Individual/Independent Study, "Temporal Topic Modeling to Determine Trends in the Field of AI," Computer Science and Engineering. (2022).
  • Directed Individual/Independent Study, "Social Engagement Embeddings of Parkinson's Disease through Autoencoders," Computer Science and Engineering. (2022).
  • Directed Individual/Independent Study, "Variational Autoencoders as Generative Particle Identification Algorithms for High Energy Physics," Computer Science and Engineering. (2022).
  • Directed Individual/Independent Study, "A New Learning-to-Rank Framework for Keyphrase Extraction using Multi-Scale Ratings and Feature Fusion," Information Science. (2022).
  • Directed Individual/Independent Study, "Feature Engineering and Aggregation Utilizing Granularized Geospatial Data," Computer Science and Engineering. (2022).
  • Directed Individual/Independent Study, "Pupil Tracking for Parkinson's Disease through Mathematical Modeling," Computer Science and Engineering. (2022).
  • Directed Individual/Independent Study, "Global Wildfire Spread Prediction Utilizing Granularized Remote Sensing Feature Sets," Computer Science and Engineering. (2022).
  • Doctoral Comprehensive Exam Member or Grader, "Diffusion of Information on Social Media: A Case Study of Autism," Information Science. (2022).
  • Dissertation Committee Co-Chair, "Weight Initialization for Convolutional Neural Networks using Unsupervised Machine Learing," Information Science. (2019 - 2022).
  • Directed Individual/Independent Study, "An Interactive Web-Based Dashboard to track Trending Topics in Financial Journals using Plotly and Dash," Information Science. (2021).
  • Doctoral Comprehensive Exam Member or Grader, "LSTM, GRASP, Self-training," Computer Science and Engineering. (2021).
  • Doctoral Comprehensive Exam Member or Grader, "Multimodality," Computer Science and Engineering. (2021).
  • Directed Individual/Independent Study, "Automatic Trend Detection: Time-Biased Document Clustering," Information Science. (2020).
  • Master's Thesis Committee Member, "Toddler Activity Recognition using Machine Learning," Computer Science and Engineering. (2017 - 2018).

Awards and Honors

  • Faculty Excellence Award, College of Information. (2023).
  • Best Poster Award, SMCDC 2023.
  • GHC 22 Faculty Scholarship, AnitaB.
  • Northwestern Professional Development Travel Award, Northwestern University.
  • Jefferson Lab Student Travel Award, Jefferson Lab.
  • Huang Fellowship, Huang Fellows Program. (2007).
  • Northwestern University Fellowship, Northwestern University. (2007).
  • Graduate with Honors, Zhejiang University.
  • Xinyada Scholarship, Xinyada Electronics.
  • Excellent English Scholarship, Zhejiang University.
  • First Prize of Excellent Student Scholarship, Zhejiang University. (2003).
  • Title of All-Round Student, Zhejiang University.
  • Third Prize of Excellent Student Scholarship, Zhejiang University.

Research

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).

Presentations Given

    Design Work

  • Olness, G.S. (Author & Presenter), Mahbub, I. (Author), Albert, M.V. (Author), Berman, D. (Author), Xiao, T. (Author), Fletcher, A. (Author), American Congress of Rehabilitation Medicine (ACRM), Launchpad Competition, Wireless smart system of vocalization sensors for convergent evidence of post-discharge communicative participation in everyday life contexts, American Congress of Rehabilitation Medicine (ACRM), Online (whole conference), United States of America. (2020 - 2020).

    • Lecture

  • Xiao, T. (Author & Presenter), Machine Learning Explained, Business Analytics Week at Quinlan School of Business, Chicago, IL, United States of America. (2018).
  • Xiao, T. (Author & Presenter), Albert, M.V. (Author & Presenter), An Introduction to Modern Machine Learning Principles and Techniques from Intuitions to Applications, Chinese Ministry of Industry and Information Technology Representatives, Chicago, IL, United States of America. (2018).

    • Oral Presentation

  • Ali, S. (Author), Zhang, S. (Author & Presenter), Mhatre, S. (Author & Presenter), Xiao, T. (Author), MIT Undergraduate Research Technology Conference (MIT URTC 2024), Enhancing Wildfire Forecasts: An Extensive Dataset for Next-Day Predictive Models, United States of America. (2024 - 2024).
  • Xiao, T. (Author & Presenter), Business Analytics Day, Vector Embeddings for Knowledge beyond Language, University of North Texas, United States of America. (2023).
  • Xiao, T. (Author & Presenter), Day of Data Science, Vector Embeddings for Knowledge beyond Language, University of North Texas, United States of America. (2023).
  • Xiao, T. (Author & Presenter), Albert, M.V. (Author & Presenter), Workshop in CCSC South Central Conference, On-ramp to AI: lessons from the introductory course Software Development for AI, United States of America. (2021).
  • Xiao, T. (Author & Presenter), Biomedical Engineering Departmental Seminar, Clinical Research in Signal Processing, University of North Texas, United States of America. (2020).
  • Xiao, T. (Author & Presenter), Annual Convention, Illinois Speech Language Hearing Association, Conversation Moderator: Using Machine Learning to Encourage Speaking in Groups, Rosemont, IL, United States of America. (2019).
  • Xiao, T. (Author & Presenter), Computer Science Department Seminar, Machine Learning Explained, Loyola University Chicago, Chicago, IL, United States of America. (2018).
  • Xiao, T. (Author & Presenter), Physics Department Colloquium, Machine Learning Explained, DePaul University, Chicago, IL, United States of America. (2018).
  • Xiao, T. (Author & Presenter), CLEO Collaboration Meeting, Search for Radiation Production of X(3872, 3915, 3930, 3940) from ψ(4160), Ithaca, NY, United States of America. (2012).
  • Xiao, T. (Author & Presenter), JLab Advanced Study Institute, Precision Measurement of the Hadronic Contribution to the Muon Anomalous Magnetic Moment, Williamsburg, VA, United States of America. (2012).

    • Other

  • Mahbub, I. (Author), Berman, D. (Author), Albert, M.V. (Author), Xiao, T. (Author), Olness, G.S. (Author), NSF Smart and Connected Health (SCH) Workshop, Wireless smart vocalization sensors for convergent evidence of rehabilitation effectiveness., National Science Foundation, Washington, DC, United States of America. (2020 - 2020).

    • Panel Presentation

  • Lipsmeyer, L. (Author & Presenter), Albert, M.V. (Author & Presenter), Xiao, T. (Author & Presenter), Empowering Learners in AI 2023, Sustaining a Persistent Umbrella AI Summer Research Program: Benefits and Lessons of a Decade, United States of America. (2023).

    • Paper

  • Behpour, S. (Author), Ryan, S.E. (Author), Bevara, R.K. (Author & Presenter), Bonds, C. (Author), Xiao, T. (Author), 19th International Conference on Knowledge Management, Triangulating mixed methods to access trends and impacts in the Journal of International Economic Law., Kent, Ohio, United States of America. (2024).

    • Poster

  • Olness, G.S. (Author & Presenter), Mahbub, I. (Author), Albert, M.V. (Author), Berman, D. (Author), Xiao, T. (Author), Fletcher, A. (Author), 4th biennial Aphasia Access Leadership Summit, Development of a Wireless Smart System of Vocalization Sensors for Convergent Evidence of Post-discharge Communicative Participation in Everyday Life Contexts: A Status Report, Aphasia Access, Online (whole conference), United States of America. (2021 - 2021).
  • Albert, M.V. (Author), Xiao, T. (Author), Advancing Health through Science: Smart and Connected Health (SCH) Principal Investigator Meeting, Mahbub I, Berman D, Albert MV, Xiao T, Olness G. “Wireless Smart Vocalization Sensors for Convergent Evidence of Rehabilitation Effectiveness.” Advancing Health through Science: Smart and Connected Health (SCH) Principal Investigator Meeting, Jan 6-7, 2020 NSF Headquarters, Alexandria, VA, United States of America. (2020).
  • Albert, M.V. (Author & Presenter), Xiao, T. (Author), Albert MV, Xiao T, Dantu M, Thompson M, Jayaraman A. “Physbot therapy: semi-autonomous visual observation and support for home-based physical therapy exercises.” Advancing Health through Science: Smart and Connected Health (SCH) Principal Investigator Meeting, Jan 6-7, 2020 NSF Headquarters, Alexandria, VA, United States of America. (2020).
  • Xiao, T. (Author), Albert, M.V. (Author), Olness G, Mahbub I, Albert MV, Berman D, Xiao T, Fletcher A. Wireless Smart System of Vocalization Sensors for Convergent Evidence of Post-Discharge Communicative Participation in Everyday Life Contexts. Launchpad competition at American Congress of Rehabilitation Medicine (ACRM) conference 2020., United States of America. (2020).
  • Xiao, T. (Author), Albert, M.V. (Author), Ranasinghe I, Jayaraman A, Xiao T, Thompson M, Dantu R, Albert MV “Home Care Robotic Assistant Prototype for Remote Human Supervision: Development and Pilot Analysis of Exercise Repetition Counting over Multiple Viewing Angles” American Congress of Rehabilitation Medicine (ACRM) conference 2020., United States of America. (2020).
  • Xiao, T. (Author), Albert, M.V. (Author), Tabashum T, Xiao T, Gaynes B, Chawla J, Colleatta D, Albert MV. Automated Pupil Tracking For Parkinson's Disease Biomarker Detection by Integrating Kalman Filters in a Robust User Interface. Biomedical Engineering Society conference (BMES 2020) Oct 14-17, 2020., United States of America. (2020).
  • Xiao, T. (Author), Albert, M.V. (Author), Xiao T, Tabashum T, Olness G, Mahbub I, Berman D, Tasneem NT, Albert MV. “Mobile Diarization Dashboard Application and Remote Vocalization Sensor Prototype for Evaluating Communication Rehabilitation Effectiveness.” American Congress of Rehabilitation Medicine (ACRM) conference 2020., United States of America. (2020).
  • Xiao, T. (Author), Albert, M.V. (Author), Zelman S, Dow M, Tabashum T, Albert MV, Xiao T. “Automatic counting methods applied to unspecified repetitive physical activities.” ACM Tapia Conference, September 16-19, 2020, United States of America. (2020).
  • Xiao, T. (Author), Tabashum, T. (Author & Presenter), Olness, G.S. (Author), Mahbub, I. (Author), Berman, D. (Author), Tasneem, N.T. (Author), Albert, M.V. (Author), American Congress of Rehabilitation Medicine (ACRM), Mobile diarization dashboard application and remote vocalization sensor prototype for evaluating communication rehabilitation effectiveness, American Congress of Rehabilitation Medicine (ACRM), Online (whole conference), United States of America. (2020 - 2020).
  • Xiao, T. (Author & Presenter), Physics and Astronomy Poster Session, CLEO collaboration update, Northwestern University, Evanston, IL, United States of America. (2015).

Contracts, Grants, 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).

Copyrights, Patents

    Patent

  • Komperda, J., Patel, M., Kletzel, S., Xiao, T., Gaynes, B., Spectacle Mounted Infrared Pupilometer, Regular, Date of Patent Application: 2023. .

Service

University Service

  • Member, Ad Hoc Committee. (January 2025 - Present).
  • Member, Personnel Affairs Committee. (January 2025 - Present).
  • Member, Research and Outreach Committee. (January 2025 - Present).
  • Chairperson, Student Affairs Committee. (January 2025 - Present).
  • Member, CCLS Consecutive Committee. (September 2024 - Present).
  • Program Coordinator, AI4All College Pathways Program. (November 1, 2020 - Present).
  • Faculty Advisor, Data Science Student Organization. (November 1, 2020 - Present).
  • Program Coordinator, UNT AI/CS Summer Research Program. (May 2020 - Present).
  • Committee Member, Information Science PhD Committee. (January 2023 - December 2024).
  • Committee Member, Data Science Search Committee. (September 2021 - December 2024).
  • Committee Member, AI/ML in Physics Search Committee. (December 2023 - May 2024).
  • Committee Member, Computer Science T/TT Hiring Committee. (December 2022 - May 2023).
  • Committee Member, Information Science Curriculum Committee. (September 2022 - May 2023).
  • Committee Member, External Affairs & Physical Resources Committee. (September 2021 - August 2022).
  • Committee Member, Computational Linguistics Search Committee. (September 2021 - June 2022).
  • Faculty Mentor, Ignite Lab Startup Accelerator. (2018 - 2019).
  • Other (Graduate Mentor), Women in Physics and Astronomy. (2016 - 2019).
  • Program Coordinator, Heilborn Lectures Program. (2008 - 2016).

Professional Service

  • Editor, Guest Editor, Applied Science, MDPI. (2023 - Present).
  • Reviewer, Journal Article, Various Journals. (September 2017 - Present).
  • Reviewer, Grant Proposal, National Science Foundation. (2024 - 2024).
  • Reviewer, Conference Paper, The 24th International Conference on Software Quality, Reliability, and Security. (2024 - 2024).
  • Reviewer, Grant Proposal, National Science Foundation. (2023 - 2023).
  • Reviewer, Conference Paper, The Tenth International Conference on Dependable Systems and Their Applications. (2023 - 2023).
  • Reviewer, Conference Paper, iConference. (2022 - 2023).