Dr. Ting Xiao
University of North Texas
Information Science
(940) 369-5212
Email:

Education

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

Professional Positions

Professional
Assistant Professor of Computer Science and Engineering (Joint Appointment), University of North Texas. (January 2022 – Present).
Assistant Professor of Data Science, University of North Texas. (August 2021 – Present).
Research Assistant Professor, University of North Texas. (December 2019 – August 2021).
Adjunct Faculty, University of North Texas. (August 2019 – August 2021).
Postdoctoral Fellow, Northwestern University. (September 2016 – November 2019).
Adjunct Faculty, Loyola University Chicago. (August 2017 – May 2019).
Research Assistant, Northwestern University. (July 2009 – June 2016).

Licensures and Certifications

Teaching Certificate, Northwestern University. (July 3, 2018 – Present).

Faculty Experiential Learning Certificate, Loyola University Chicago. (March 4, 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).

Awards and Honors

GHC 22 Faculty Scholarship, AnitaB. (2022).

First Prize of Excellent Student Scholarship, Zhejiang University. (2003 – 2004).

Title of All-Round Student, Zhejiang University. (2003).

Third Prize of Excellent Student Scholarship, Zhejiang University. (2002).

Teaching

Teaching Experience

University of North Texas
CSCE 4200, Web Search and Information Retrieval, 1 course.
CSCE 4890, Directed Study, 1 course.
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, 1 course.
CSCE 6940, Individual Research, 5 courses.
DTSC 5502, Principles and Techniques for Data Science, 1 course.
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, 2 courses.
INFO 6900, Special Problems, 3 courses.

Teaching at Other Institutions

Loyola University Chicago, Computing and Data Analysis for the Sciences, COMP 180, Spring 2019.

Loyola University Chicago, Computing and Data Analysis for the Sciences, COMP 180, Fall 2018.

Loyola University Chicago, Computing and Data Analysis for the Sciences, COMP 180, Spring 2018.

Loyola University Chicago, Introduction to Computing, COMP 150, Fall 2017.

Directed Student Learning

Directed Individual/Independent Study,"Compensation Contract Similarity," Computer Science and Engineering. (2023 – Present).

Dissertation Committee Co-Chair,"Compensation Contract Similarity," Computer Science and Engineering. (2023 – Present).

Dissertation Committee Member,"Voice-Driven Modeling: Software Modeling Using Automated Speech Recognition," Computer Science and Engineering. (2023 – Present).

Major Professor,"OpenTest: Assessment Tool for CSE Courses," Information Science. (2023 – Present).

Supervised Research,"Predicting User Interest Using Hierarchical-Based Clustering for Recommender Systems," Computer Science and Engineering. (2023 – Present).

Dissertation Committee Member,"Autoencoder Approach to Quantify Gait Data for Surgery Result Prediction in Children with Cerebral Palsy," Computer Science and Engineering. (2022 – Present).

Major Professor,"CENSLOC: Census-based Location Embeddings for Enhanced Predictions," Information Science. (2022 – Present).

Major Professor,"Comprehensive Dataset Utilizing Meteorological and Topographical Features For Next-Day Wildfire Spread Prediction," Computer Science and Engineering. (2022 – Present).

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,"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).

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).

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
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).

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

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).

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).

Workshop, NSF

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).

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. (January 16, 2024 – January 15, 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. (November 2023 – August 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. (November 2023 – June 2024).
Xiao, T. (Principal), Albert, M. V. (Co-Principal), "AI4ALL College Pathways Program," Sponsored by AI4ALL, National, $3517.5 Funded. (July 1, 2023 – May 30, 2024).
Xiao, T. (Principal), "Creating, Organizing, and Sharing Vector Embeddings across Application Domains," Sponsored by College of Information, University of North Texas, $4000 Funded. (February 2023 – January 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. (August 22, 2022 – June 30, 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. (January 20, 2022 – January 31, 2023).
Xiao, T. (Principal), Albert, M. V. (Co-Principal), "AI4ALL College Pathways Program," Sponsored by AI4ALL, National, $9503 Funded. (June 1, 2021 – April 30, 2022).
Xiao, T. (Principal), Albert, M. V. (Co-Principal), "AI4ALL College Pathways Program," Sponsored by AI4ALL, National, $2468 Funded. (November 16, 2020 – May 5, 2021).
Grant - Teaching
Xiao, T. (Principal), "Google Cloud Education Grant," Sponsored by Google, University of North Texas, $26350 Funded. (January 12, 2020 – August 11, 2024).

Copyrights, Patents

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

Awards and Honors

Faculty Excellence Award, College of Information. (2023 – 2023).

Best Poster Award, SMCDC 2023. (August 2023).

Northwestern Professional Development Travel Award, Northwestern University. (2019).

Jefferson Lab Student Travel Award, Jefferson Lab. (2016).

Huang Fellowship, Huang Fellows Program. (2007 – 2008).

Northwestern University Fellowship, Northwestern University. (2007 – 2008).

Graduate with Honors, Zhejiang University. (2005).

Xinyada Scholarship, Xinyada Electronics. (2005).

Excellent English Scholarship, Zhejiang University. (2004).

Service

University Service

Committee Member, PhD Committee. (January 2023 – Present).

Committee Member, Information Science Curriculum Committee. (September 2022 – Present).

Committee Member, Data Science Search Committee. (September 2021 – 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. (2019 – Present).

Committee Member, AI/ML in Physics Search Committee. (December 2023 – 2024).

Committee Member, Computer Science T/TT Hiring Committee. (December 2022 – 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, Women in Physics and Astronomy. (2016 – 2019).

Program Coordinator, Heilborn Lectures Program. (2008 – 2016).

Professional Service

Reviewer, Grant Proposal, National Science Foundation. (2023 – Present).

Reviewer, Journal Article, Various Journals. (September 2017 – Present).

Editor, Guest Editor, Applied Science, MDPI. (2023 – 2024).

Reviewer, Conference Paper, Tenth International Conference on Dependable Systems and Their Applications. (2023).