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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

  • Other (Read AI related papers and used them in two courses), Several papers including Lllama-3.1 to Llama 3.3, Gemma, None. Online,Online,United States of America. (2024 - 2024).
  • Self-Study Program, Decentralized Finance (DeFi): The Future of Finance Specialization, Coursera. Online,Online,United States of America. (September 15, 2024 - October 14, 2024).
  • Other (Dallas Startup Week), Attended presentations on quantum computing and automation technologies, Frisco Economic Development Corporation. Frisco,TX,United States of America. (August 11, 2024 - August 15, 2024).
  • 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, 1 course.
  • 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

    Book Chapter

  • Chakraborty, S., Murali, B. (2022). A Novel Medical Prognosis System for Breast Cancer. Advances in Intelligent Systems and Computing. 403-413. Springer Singapore. https://doi.org/10.1007/978-981-16-5207-3_34
  • 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
  • Rana, M.S., Murali, B., Sung, A.H. (2021). Deepfake Detection Using Machine Learning Algorithms. 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI). 458-463. IEEE. https://doi.org/10.1109/iiai-aai53430.2021.00079
  • Murali, B., Rahman, Z., Reichenbach, S.E., Neifeld, M.A. (2009). A new feature front based stereo correspondence technique. SPIE Proceedings. 7341 73410A. SPIE. https://doi.org/10.1117/12.817081
  • Journal Article

  • Rana, M.S., Nobi, M.N., Murali, B., Sung, A.H. (2022). Deepfake Detection: A Systematic Literature Review. IEEE Access. 10 25494-25513. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/access.2022.3154404
  • 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/
  • Sengupta, P.P., Gloria, J.N., Amato, D.N., Amato, D.V., Patton, D.L., Murali, B., Flynt, A.S. (2015). Utilizing Intrinsic Properties of Polyaniline to Detect Nucleic Acid Hybridization through UV-Enhanced Electrostatic Interaction. Biomacromolecules. 16 (10) 3217-3225. American Chemical Society (ACS). https://doi.org/10.1021/acs.biomac.5b00935
  • Huan, X., Murali, B., Ali, A.L. (2010). Image restoration based on the fast marching method and block based sampling. Other. 114 (8) 847-856. Elsevier BV. https://doi.org/10.1016/j.cviu.2010.04.007
  • 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

  • Murali, B. (Panelist), Dallas Startup Week, Panels on AI, Automation and Quantum, Frisco Economic Development Corporation, United States of America. (2024 - 2024).
  • 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 Smaller AI Models with Comparable Model Metrics as Larger AI Models, Provisional, Date submitted to the University: 2024. Date of Patent Application: 2024. .
  • 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).
  • Director, MS in AI Program AY 2025. (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).
  • Other (Senior Innovation Fellow), AY2025 DSI Senior Innovation Fellow. (September 2024 - 2025).
  • Committee Member, SACS Review Committee for MS AI 2024. (March 2024 - 2024).
  • Committee Member, UNT ad hoc Steering Committee for Generative AI 2024. (January 2024 - 2024).

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).