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Dr. Beddhu Murali

Clinical Associate Professor

University of North Texas

Department of Computer Science and Engineering

Email: Beddhu.Murali@unt.edu

Education

  • PhD, Mississippi State University, 1992
    Major: Engineering
    Specialization: Aerospace Engineering

Professional Memberships

  • Phi Kappa Phi. (January 1, 2023 - December 31, 2023).

Development Activities

  • Seminar, CS Seminars, CS Department. United States of America. (May 31, 2024).
  • Self-Study Program, Online courses, None. United States of America. (September 1, 2023 - May 31, 2024).
  • Seminar, Clinical Faculty Candidate Presentations, CS Department. United States of America. (December 31, 2023).
  • Seminar, Faculty Candidate Seminars, CS Department. United States of America. (December 31, 2023).
  • Other (Technical papers read), Read and analyzed technical papers, None. United States of America. (December 31, 2023).
  • Workshop, AI Symposium, UNT. United States of America. (September 29, 2023).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 1045 - Computer Programming II, 6 courses.
  • CSCE 2100 - Foundations of Computing, 3 courses.
  • CSCE 3110 - Data Structures and Algorithms, 1 course.
  • CSCE 3220 - Human Computer Interfaces, 4 courses.
  • CSCE 4240 - Introduction to Digital Image Processing, 1 course.
  • CSCE 4290 - Introduction to Natural Language Processing, 1 course.
  • CSCE 4357 - Database Systems Security, 2 courses.
  • CSCE 4430 - Programming Languages, 2 courses.
  • CSCE 4555 - Computer Forensics, 1 course.
  • CSCE 4575 - Blockchain and Applications, 5 courses.
  • CSCE 5214 - Software Development for Artificial Intelligence, 2 courses.
  • CSCE 5225 - Digital Image Processing, 1 course.
  • CSCE 5290 - Natural Language Processing, 4 courses.
  • CSCE 5370 - Distributed & Parallel Database Systems, 2 courses.
  • CSCE 5430 - Software Engineering, 1 course.
  • CSCE 5450 - Programming Languages, 2 courses.
  • CSCE 5555 - Computer Forensics, 1 course.
  • CSCE 5575 - Blockchain and Applications, 5 courses.

Research

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

Presentations Given

    Other

  • Murali, B. (Author & Presenter), Tech Titans Innovation Showcase, Applications of Bounded Linear Computations in AI and other Fields, Tech Titans, UT Dallas, United States of America. (2023).

    • Panel Presentation

  • Pears, R.L. (Panelist), Murali, B. (Panelist), Shi, W. (Panelist), Research Seminar for UNT Graduate Students, How does ChatGPT impact Computer Science Education?, UNT Department of Computer Science and Engineering, K150, United States of America. (2023 - 2023).

Copyrights, Patents

    Patent

  • Murali, B., Methods and Apparatus for Bounded Linear Computation Outputs in Neural Networks, 63/484,734. Provisional, Date submitted to the University: September 2022. Date of Patent Application: February 11, 2023. .

Service

University Service

  • Director, MS in AI Program. (October 2023 - Present).
  • Committee Member, SACS Accreditation Committee for BS in CS. (October 2023 - Present).
  • Other (Senior Innovation Fellow), AY2024 DSI Senior Innovation Fellow. (September 2023 - Present).
  • Committee Member, UNT ad hoc Steering Committee for Generative AI. (September 2023 - Present).
  • Committee Member, SACS Review Committee for MS AI. (March 2023 - Present).
  • Other (Course coordinator), Undergraduate Curriculum. (November 15, 2022 - Present).

Public Service

  • Other (Public Member), NIST Working Group on Generative AI. (September 2023 - December 2023).

Professional Service

  • Committee Member, ACMSE 2022 Technical Program Committee. Richmond, KY. (August 29, 2021 - April 30, 2022).