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Subharag Sarkar

Title: Clinical Assistant Professor

Department: Computer Science and Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Texas at Arlington, 2023
    Major: Computer Science
    Dissertation: On-Line Environment Adaptation for User Performance Optimization

Current Scheduled Teaching

CSCE 1030.004Computer Science ISpring 2025 Syllabus
CSCE 1030.005Computer Science ISpring 2025 Syllabus
CSCE 1030.315Computer Science ISpring 2025
CSCE 1030.318Computer Science ISpring 2025
CSCE 1030.319Computer Science ISpring 2025
CSCE 1030.320Computer Science ISpring 2025
CSCE 1030.321Computer Science ISpring 2025
CSCE 1030.322Computer Science ISpring 2025
CSCE 3600.001Principles of Systems ProgrammingSpring 2025 Syllabus
CSCE 3600.002Principles of Systems ProgrammingSpring 2025 Syllabus
CSCE 3600.004Principles of Systems ProgrammingSpring 2025 Syllabus
CSCE 3600.201Principles of Systems ProgrammingSpring 2025
CSCE 3600.202Principles of Systems ProgrammingSpring 2025
CSCE 3600.204Principles of Systems ProgrammingSpring 2025
CSCE 3600.205Principles of Systems ProgrammingSpring 2025
CSCE 3600.206Principles of Systems ProgrammingSpring 2025
CSCE 3600.207Principles of Systems ProgrammingSpring 2025
CSCE 3600.210Principles of Systems ProgrammingSpring 2025
CSCE 3600.211Principles of Systems ProgrammingSpring 2025

Previous Scheduled Teaching

CSCE 1045.002Computer Programming IIFall 2024 Syllabus SPOT
CSCE 1045.307Computer Programming IIFall 2024 SPOT
CSCE 1045.308Computer Programming IIFall 2024 SPOT
CSCE 1015.005Computing Tools and Techniques LaboratoryFall 2024 SPOT
CSCE 5210.002Fundamentals of Artificial IntelligenceFall 2024 SPOT
CSCE 5215.002Machine LearningFall 2024 SPOT

Published Intellectual Contributions

    Conference Proceeding

  • Sarkar, S., Huber, M. (2023). Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering. Florida, FLAIRS.
  • Sarkar, S., Huber, M. (2021). Personalized Learning Path Generation in E-Learning Systems using Reinforcement Learning and Generative Adversarial Networks. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 92-99. IEEE. https://doi.org/10.1109/smc52423.2021.9658967
  • Journal Article

  • Sarkar, S. (2015). Covert Image Transfer: A Secret Sharing Technique. International Journal of Computer Applications in Technology.
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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
    • 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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