Faculty Profile

Mohsen Amini Salehi

Title
Associate Professor
Department
Computer Science and Engineering
College
College of Engineering

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, University of Melbourne, 2013. 
Major: Engineering
Degree Specialization: Distributed and Grid Systems
Dissertation Title: Contention-Aware Resource Provisioning in Interconnected Grid Computing Systems





          

        
                

          
Current Scheduled Teaching*


          
No current or future courses scheduled.


          
*
  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 5934.867, Directed Study, Spring 2024 
                    

                    CSCE 6940.967, Individual Research, Spring 2024 
                    

                    CSCE 5430.003, Software Engineering, Spring 2024 Syllabus SPOT
                    

                    CSCE 5934.867, Directed Study, Fall 2023 
                    

                    CSCE 6940.867, Individual Research, Fall 2023 
                    

                    CSCE 5430.005, Software Engineering, Fall 2023 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


  
Conference Proceeding
Mokhtari, A., Rawls, D., Huynh, T., Green, J., Amini Salehi, M.  (2023). E2C: A Visual Simulator to Reinforce Education of Heterogeneous Computing Systems. https://www.computer.org/csdl/proceedings-article/ipdpsw/2023/119900a270/1PkVtDOL0TC
Lertpongrujikorn, P., Amini Salehi, M.  (2023). Object as a Service (OaaS):  Enabling Object Abstraction in Serverless Clouds. IEEE. 
Chanikaphon, T., Amini Salehi, M.  (2023). UMS: Live Migration of Containerized Services across Autonomous Computing Systems. 
Journal Article
Denninnart, C., Chanikaphon, T., Amini Salehi, M.  (2023). Efficiency in the Serverless Cloud Paradigm: A Survey on the Reusing and Approximation Aspects. https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.3233
Denninnart, C., Amini Salehi, M.  (2023). SMSE: A Serverless Platform for Multimedia Cloud Systems. https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.7922#:~:text=Unlike%20conventional%20SaaS%20platforms%20for,request%20to%20stream%20the%20contents.



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
Contracts, Grants and Sponsored Research  

 	 
	 	 
  
Contract   
Amini Salehi, M., "establishing a cloud-based search engine for thermal wells in the US," Sponsored by Oklahoma University, Private, $8000 Funded. (July 2023 – December 2023).
Grant - Research   
Amini Salehi, M., "IRES Track 1: Collaborative Research: IRES Track 1: Wireless Federated Fog Computing for Remote Industry 4.0 Applications," Sponsored by NSF, Federal, $158279 Funded. (2023 – 2026).
Amini Salehi, M. (Principal), "CAREER: Developing a Special-Purpose Cloud for Robust Serverless Multimedia Streaming," Sponsored by NSF, Federal, $513000 Funded. (2021 – 2026).
Amini Salehi, M. (Principal), "Small: SmartSight: an AI-Based Computing Platform to Assist Blind and Visually Impaired People," Sponsored by NSF, Federal, $249687 Funded. (August 2020 – July 2024).



	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					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
      • 
					
    • The course content was
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    • The instructor’s contribution to the course was
      • 
					
    • The instructor’s effectiveness in teaching the subject matter was
      • 
				
    
			
    • 
			
  • 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
      • 
					
    • The intellectual challenge presented was
      • 
					
    • The amount of effort you put into this course was
      • 
					
    • The amount of effort to succeed in this course was
      • 
					
    • Your involvement in course (doing assignments, attending classes, etc.) was
      • 
				
    
			
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