Faculty Profile

Ting Xiao

Title
Assistant Professor
Department
Information Science
College
College of Information

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
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





          

        
                

          
Current Scheduled Teaching*


          
CSCE 5900.828, Special Problems, Spring 2024 


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  


    

    

      


        


          


            
Previous Scheduled Teaching*


            
                    

                    CSCE 5934.828, Directed Study, Fall 2023 
                    

                    CSCE 6940.828, Individual Research, Fall 2023 
                    

                    DTSC 5502.020, Principles and Techniques for Data Science, Fall 2023  SPOT
                    

                    CSCE 6940.828, Individual Research, Summer 10W 2023 
                    

                    INFO 5502.001, Principles and Techniques for Data Science, Summer 5W1 2023  SPOT
                    

                    INFO 5502.003, Principles and Techniques for Data Science, Summer 5W1 2023  SPOT
                    

                    CSCE 5900.828, Special Problems, Summer 10W 2023 
                    

                    INFO 5900.020, Special Problems, Summer 5W2 2023 
                    

                    INFO 5900.021, Special Problems, Summer 5W1 2023 
                    

                    INFO 5502.020, Principles and Techniques for Data Science, Spring 2023  SPOT
                    

                    CSCE 4999.728, Senior Thesis, Spring 2023 
                    

                    CSCE 5900.001, Special Problems, Spring 2023 
                    

                    INFO 6900.038, Special Problems, Spring 2023 
                    

                    INFO 5502.020, Principles and Techniques for Data Science, Fall 2022  SPOT
                    

                    CSCE 6940.828, Individual Research, Summer 10W 2022 
                    

                    INFO 5502.001, Principles and Techniques for Data Science, Summer 5W1 2022  SPOT
                    

                    INFO 5502.003, Principles and Techniques for Data Science, Summer 5W1 2022  SPOT
                    

                    CSCE 5900.828, Special Problems, Summer 10W 2022 
                    

                    CSCE 6940.711, Individual Research, Spring 2022 
                    

                    INFO 5090.201, Practicum and Internship in the Field Study, Spring 2022  SPOT
                    

                    INFO 5502.002, Principles and Techniques for Data Science, Spring 2022  SPOT
                    

                    CSCE 5900.001, Special Problems, Spring 2022 
                    

                    INFO 6900.721, Special Problems, Spring 2022 
                    

                    INFO 5502.002, Principles and Techniques for Data Science, Fall 2021  SPOT
                    

                    INFO 6900.710, Special Problems, Fall 2021 
                    

                    CSCE 5300.001, Introduction to Big Data and Data Science, Summer 8W1 2021  SPOT
                    

                    CSCE 5300.002, Introduction to Big Data and Data Science, Summer 8W1 2021  SPOT
                    

                    CSCE 5300.002, Introduction to Big Data and Data Science, Spring 2021  SPOT
                    

                    CSCE 5300.002, Introduction to Big Data and Data Science, Spring 8W2 2021 
                    

                    CSCE 5214.001, Software Development for Artificial Intelligence, Spring 2021  SPOT
                    

                    CSCE 5214.004, Software Development for Artificial Intelligence, Spring 2021  SPOT
                    

                    CSCE 5214.008, Software Development for Artificial Intelligence, Spring 2021 
                    

                    CSCE 4930.002, Topics in Computer Science and Engineering, Spring 2021 Syllabus SPOT
                    

                    CSCE 4890.711, Directed Study, Summer 10W 2020 
                    

                    CSCE 5300.080, Introduction to Big Data and Data Science, Summer 8W1 2020  SPOT
                    

                    CSCE 6940.711, Individual Research, Spring 2020 
                    

                    CSCE 5300.002, Introduction to Big Data and Data Science, Spring 2020 
                    

                    CSCE 4930.002, Topics in Computer Science and Engineering, Spring 2020 Syllabus
                    

                    CSCE 5200.001, Information Retrieval and Web Search, Fall 2019  SPOT
                    

                    CSCE 5200.600, Information Retrieval and Web Search, Fall 2019  SPOT
                    

                    CSCE 4200.001, Web Search and Information Retrieval, Fall 2019 Syllabus SPOT

          


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
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). 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
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).



	
		
		
	  

	

	

	
	

  
  
  

  	

		

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					Overall
Summative Rating		
					Challenge and
Engagement Index		
					Response Rate
					
				

			
			
				

					
					
out of 5		
					
out of 7		
					%
 of 
students responded		
					
					
				

			
		


		
    
			
  • Overall Summative Rating (median):
    
			This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
				
      
					
    • The course as a whole was
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    • The course content was
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    • The instructor’s contribution to the course was
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    • The instructor’s effectiveness in teaching the subject matter was
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  • Challenge and Engagement Index:
    
			This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
				
      
					
    • Do you expect your grade in this course to be
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    • The intellectual challenge presented was
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    • The amount of effort you put into this course was
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    • The amount of effort to succeed in this course was
      • 
					
    • Your involvement in course (doing assignments, attending classes, etc.) was
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