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Ms. Jharna Agrawal

Ms. Jharna Agrawal

  • Assistant Professor
    Institute of Engineering & Technology
  • Department

    Department of Electronics & Communication
  • Contact Details:

    Email :

    Contact Number :

  • Experience

    +12 years of Academic and Research experience at Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain and SMS Medical College, Jaipur, Rajasthan and Sri Balaji College of Engineering & Technology, Jaipur, Rajasthan

  • Qualifications

    • Ph.D. Thesis submitted at GLA University, Mathura.
  • Postgraduate

    Thesis Supervised

  • Awarded/ Completed-

    Working-

  • Undergraduate

    Thesis Supervised

  • Awarded/ Completed-

    Ongoing-

Journals

  • Agrawal, J., Gupta, M., & Garg, H. (2023). A review on speech separation in cocktail party environment: challenges and approaches. Multimedia Tools and Applications, 1-33.
  • Agrawal, J., Gupta, M., & Garg, H. (2023). Performance analysis of speech enhancement using spectral gating with U-Net. Journal of Electrical Engineering, 74(5), 365-373.
  • Agrawal, J., Gupta, M., & Garg, H. (2023). Monaural speech separation using WT-Conv-TasNet for hearing aids. International Journal of Speech Technology, 1-14.
  • Mishra, N. K., Agrawal, J., & Baba, M.. H. (2022). AI-Powered Covid-19 Health Management based on Radiological Imaging bio-ethics perspectives. JK-Practitioner, 27(3): S172-S183.

International Conferences

  • L.A. Cardona, J. Agrawal, Y. Guo, J. Oliver, C. Ferrer. “Performance-Area Improvement by Partial Reconfiguration for an Aerospace Remote Sensing Application”. Int. conf. on Reconfigurable Computing & FPGAs (ReConFig), 2011, IEEE, pp. 497-500, 2011.
  • Agrawal, J., Gupta, M., & Garg, H. (2022, May). Blind Source Separation in Perspective of ICA Algorithms: A Review. In 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 78-85). IEEE.
  • Agrawal, J., Gupta, M., & Garg, H. (2021, April). Early Stress Detection and Analysis using EEG signals in Machine Learning Framework. In IOP Conference Series: Materials Science and Engineering (Vol. 1116, No. 1, p. 012134). IOP Publishing.
  • Attended QIP Program of 2 weeks on Design School on Integrated Product Development at I.I.T. Delhi (INDIA)
  • Attended a workshop on System on chip design and challenges held at MNIT, Jaipur from 11 Dec to 22 Dec, 2006.
  • Attended a seminar on ‘Emerging trends in broadband communication’ held in corporation of Intel at MNIT, Jaipur