Faculty Profile

Tozammel Hossain

Title
Assistant Professor
Department
Information Science
College
College of Information

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, Virginia Tech, 2016. 
Major: Computer Science and Applications
Dissertation Title: Couplings for Modeling Evolutionary Constraints and Improving Multiple Sequence Alignments
MS, Virginia Tech, 2014. 
Major: Computer Science and Applications





          

        
                

          
Current Scheduled Teaching*


          
INFO 5707.001, Data Modeling for Information Professionals, Spring 2024 
INFO 5707.020, Data Modeling for Information Professionals, Spring 2024 
INFO 6900.735, Special Problems, Spring 2024 
INFO 5707.003, Data Modeling for Information Professionals, Fall 2023 
INFO 5707.023, Data Modeling for Information Professionals, Fall 2023 
INFO 5910.004, Special Problems, Fall 2023 


          
*
  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*


            
                    

                    INFO 5707.003, Data Modeling for Information Professionals, Summer 10W 2023  SPOT
                    

                    INFO 5502.021, Principles and Techniques for Data Science, Spring 2023  SPOT
                    

                    INFO 5502.001, Principles and Techniques for Data Science, Fall 2022  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


  
Conference Proceeding
Karanam, L., Yi, K., Shae, Z., Chang, D., Shyu, C., Hossain, T.  (2022). Continuous Anticipation of AKI in the ICU using Time-Gated LSTMs. AMIA Clinical Informatics Conference. 
Morstatter, F., Galstyan, A., Satyukov, G., Benjamin, D., Abeliuk, A., Mirtaheri, M., Hossain, T.  (2019). SAGE: A Hybrid Geopolitical Event Forecasting System. International Joint Conference on Artificial Intelligence. 
Mirtaheri, M., Abu-El-Haija, S., Hossain, T., Morstatter, F., Galstyan, A.  (2019). Tensor-based Method for Temporal Geopolitical Event Forecasting. International Conference on Machine Learning Workshop. 
Journal Article
Hossain, T., Harutyunyan, H., Ning, Y., Kennedy, B., Ramakrishnan, N., Galstyan, A.  (2022). Identifying geopolitical event precursors using attention-based LSTMs. Other. 
P., Shyu, C., Putrd, K. T., Chen, H., Tsai, Y., Hossain, T., Jiang, W., Shae, Z.  (2021). A Systematic Review of Federated Learning in the Healthcare Area: from the perspective of Data Properties and Applications. Other. 11(23), 11191. 
Mosa, A., Thongmotai, C., Islam, H., Pal, T., Hossain, T., Mandhadi, V.  (2021). Evaluation of Machine Learning Applications using Real-World EHR Data for Predicting Diabetes-Related Long-Term Complications. Journal of Business Analytics. 1-11. 
Hossain, T., Gao, S., Kennedy, B., Galstyan, A., Natarajan, P.  (2020). Forecasting violent events in the Middle East and North Africa using HMM and regularized autoregressive models. Other. 17(3), 269–283. 
Chen, L., Hossain, T., Butler, P., Ramakrishnan, N., Prakash, B.  (2016). Syndromic Surveillance of Flu on Twitter using Weakly Supervised Temporal Topic Models. Other. 30, 681–710. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
Contracts, Grants and Sponsored Research  

 	 
	 	 
  
Grant - Research   
Hossain, T. (Principal), "Acute Kidney Injury Anticipation with Precursors in ICU patients," Sponsored by College of Information, University of North Texas, $4000 Funded. (2023 – Present).
Sponsored Research   
Lovell, S. T. (Principal), Thapa, B. (Co-Principal), Hossain, T. (Co-Principal), Zhen, C. (Co-Principal), Guinan, P. E. (Co-Principal), "Agroforestry for Climate Risk Management: Effectiveness of Windbreaks in Reducing Crop Loss In Midwest, USA," Sponsored by USDA, Federal, $234644 Funded. (January 2022 – December 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
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    • Your involvement in course (doing assignments, attending classes, etc.) was
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