Faculty Profile

Beddhu Murali

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

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, Mississippi State University, 1992. 
Major: Engineering
Degree Specialization: Aerospace Engineering





          

        
                

          
Current Scheduled Teaching*


          
CSCE 5270.001, Computer Human Interfaces, Summer 2024 
CSCE 2100.501, Foundations of Computing, Summer 2024 
CSCE 2100.551, Foundations of Computing, Summer 2024 
CSCE 2100.552, Foundations of Computing, Summer 2024 
CSCE 5430.400, Software Engineering, Summer 2024 
CSCE 4357.002, Database Systems Security, Spring 2024 Syllabus
CSCE 5370.002, Distributed & Parallel Database Systems, Spring 2024 Syllabus
CSCE 3220.001, Human Computer Interfaces, Spring 2024 Syllabus
CSCE 5450.001, Programming Languages, Spring 2024 Syllabus
CSCE 5214.004, Software Development for Artificial Intelligence, Spring 2024 Syllabus


          
*
  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 4575.001, Blockchain and Applications, Fall 2023 Syllabus SPOT
                    

                    CSCE 5575.001, Blockchain and Applications, Fall 2023 Syllabus SPOT
                    

                    CSCE 3220.001, Human Computer Interfaces, Fall 2023 Syllabus SPOT
                    

                    CSCE 5290.004, Natural Language Processing, Fall 2023 Syllabus SPOT
                    

                    CSCE 4430.002, Programming Languages, Fall 2023 Syllabus SPOT
                    

                    CSCE 4555.001, Computer Forensics, Spring 2023 Syllabus SPOT
                    

                    CSCE 5555.001, Computer Forensics, Spring 2023 Syllabus SPOT
                    

                    CSCE 1045.001, Computer Programming II, Spring 2023 Syllabus SPOT
                    

                    CSCE 1045.313, Computer Programming II, Spring 2023 Syllabus
                    

                    CSCE 1045.315, Computer Programming II, Spring 2023 Syllabus
                    

                    CSCE 1045.316, Computer Programming II, Spring 2023 Syllabus SPOT
                    

                    CSCE 3110.501, Data Structures and Algorithms, Spring 2023 Syllabus SPOT
                    

                    CSCE 5225.001, Digital Image Processing, Spring 2023 Syllabus SPOT
                    

                    CSCE 4240.001, Introduction to Digital Image Processing, Spring 2023 Syllabus SPOT
                    

                    CSCE 4290.001, Introduction to Natural Language Processing, Spring 2023 Syllabus SPOT
                    

                    CSCE 5290.002, Natural Language Processing, Spring 2023 Syllabus SPOT
                    

                    CSCE 4575.001, Blockchain and Applications, Fall 2022 Syllabus SPOT
                    

                    CSCE 5575.001, Blockchain and Applications, Fall 2022 Syllabus SPOT
                    

                    CSCE 1045.001, Computer Programming II, Fall 2022 Syllabus SPOT
                    

                    CSCE 1045.306, Computer Programming II, Fall 2022 Syllabus SPOT
                    

                    CSCE 5290.004, Natural Language Processing, Fall 2022 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
Chakraborty, S., Ali, D., Murali, B.  (2022). A Novel Distributed Database Architectural Model for Mobile Cloud Computing. Lecture Notes in Networks and Systems book series (LNNS,volume 426). International Conference on Computational Techniques and Applications (ICCTA 2021). https://link.springer.com/chapter/10.1007/978-981-19-0745-6_17
Journal Article
Chakraborty, S., Murali, B., Mitra, A.  (2022). An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images. International Journal of Environmental Research and Public Health. https://pubmed.ncbi.nlm.nih.gov/35206201/
Software
Murali, B.  (2023). web3-sveltekit-bundle. https://github.com/bumi001/web3-sveltekit-bundle



	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					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
      • 
					
    • 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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