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Dr. Jagannath Haridas Nirmal

Professor at K J Somaiya School of Engineering
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Faculty
  • Department:
    Electronics
  • Institute:
    K J Somaiya School of Engineering
  • Location:
    Vidyavihar - Mumbai
  • Email Address:

    jhnirmal@somaiya.edu

  • Contact Details:

    Mobile No. : 9167130111

    Landline No. : 022 66449175

    Extension No. : 9175

  • Office Address :

    B418, K J Somaiya College of Engg, Somaiya Campus, Vidyavihar (E)

  • Timings For Visitors:

    Mon - Fri 9:00 AM to 6:00 PM

  • Curriculum Vitae
Curriculum Vitae
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  • personal profile
  • Research Accomplishments

Introduction

Dr. Jagannath Nirmal  is working since May 2003. Presently he is working as a Professor & Head in the Department of Electronics Engineering. He received his B.E. (Electronics) degree from SGGS Institute of Techology, Nanded Maharashtra State, India in 1998-99 and M.Tech. (Electronics Engg)  degree from VJTI Mumbai, India in 2008. He has completed his PhD. from SV National Institute of Technology Surat, (Gujrat) India, in June 2015. He has published around 35 research papers in national & international Journals & Conferences. His publication includes papers in reputed journals like Applied Soft Computing, Elsevier, Nurocomputing, Elsevier, Neural Computing & Applications, Springer , International Journal of Audio Speech & Music Proocessing Springer, Biomedical Signal Processing and Control, International Journal of Speech Technology, Springer.  His area of intrest is Audio, speech, signal processing, image processing, deep learning & machine learning. He has delivered several expert lectures at various institutes and also been a part of various research projects conducted in the department. He was recognized with the Best Research Awards in the academic years 2015-16, 2016-17, and 2017-18 by KJSCE. Additionally, he received the Best HOD Award for the AY 2023-24 from the CSI-Bombay Chapter.

Education

B.E.,SGGSIE&T, Nanded,1999

M.Tech,VJTI, Mumbai,2008

Ph.D.,SVNIT, Surat,2015

Professional Experience

    Academic

  • G.H. Raisoni College of Engineering, Lecturer, August 1999 - April 2000
  • Smt. indira Gandhi College of Engineering, Lecturer, August 2000 - May 2003
  • K J Somaiya School of Engineering, Professor, July 2016 - Present
  • K J Somaiya School of Engineering, Assistant Professor, May 2003 - June 2016
  • Non Academic

Courses/Subjects Teaching

  • DIGITAL IMAGE PROCESSING

Research Specialisation

  • Audio, speech, signal processing
  • image processing
  • deep learning & machine learning

Consultancy Expertise

    No Information Available

Consultancy Projects

    No Information Available

Achievements, Recognitions & Awards

MDP / FDP

    No Information Available

Research Papers

Pragya Gupta, Jagannath Nirmal & Ninad Mehendale.(2024).A survey on computer vision approaches for automated classification of skin diseases.Multimedia Tools and Applications,83(16):1-33.https://doi.org/10.1007/s11042-024-19301-w
Girish Gidaye & Jagannath Nirmal.(2020).Application of glottal flow descriptors for pathological voice diagnosis.International Journal of Speech Technology,23(1):205-222.https://doi.org/10.1007/s10772-020-09679-x
Jagannath Nirmal.(2020).Wavelet sub-band features for voice disorder detection and classification.Multimedia Tools and Applications,79(-):28499-28523.https://doi.org/10.1007/s11042-020-09424-1
Girish Gidaye & Jagannath Nirmal.(2020).Wavelet sub-band features for voice disorder detection and classification.Multimedia Tools and Applications,79(1):28499–28523, (2020).https://doi.org/10.1007/s11042-020-09424-1
Jagannath Nirmal.(2019).Discriminating Parkinson diseased and healthy people using modified MFCC filter bank approach.International Journal of Speech Technology,22(4):1021-1029.https://doi.org/10.1007/s10772-019-09647-0
Jagannath Nirmal.(2018).Thomson Multitaper MFCC and PLP voice features for early detection of Parkinson disease.Biomedical Signal Processing and Control,46(1):293-301.https://doi.org/10.1016/j.bspc.2018.07.019
Nikunj Lad & Jagannath Nirmal.(2018).Total variability factor analysis for dysphonia detection.International Journal of Information Technology,11(1):67-74.https://doi.org/10.1007/s41870-018-0112-5
Jagannath Nirmal.(2017).Novel approach of MFCC based alignment and WD-residual modification for voice conversion using RBF.Elsevier Neurocomputing,237(1):39-49.https://doi.org/10.7176/JMCR/79-05
Jagannath Nirmal.(2017).Novel approach of MFCC based alignment and WD-residual modification for voice conversion using RBF.Neurocomputing,237(1):39-49.https://doi.org/10.1016/j.neucom.2016.07.048
Jagannath Nirmal.(2017).Multitaper perceptual linear prediction features of voice samples to discriminate healthy persons from early stage Parkinson diseased persons.International Journal of Speech Technology,21(3):391-399.https://doi.org/10.1007/s10772-017-9473-6
Jagannath Nirmal.(2016).Voice conversion system using salient sub-bands and radial basis function.Neural Computing and Applications,27(8):2615-2628.https://doi.org/10.1007/s00521-015-2030-9
Jagannath Nirmal.(2014).Voice conversion using general regression neural network.Applied Soft Computing,24(1):1-12.https://doi.org/10.1016/j.asoc.2014.06.040
Jagannath Nirmal.(2014).A comparative performance of various speech analysis-synthesis techniques.International Journal of Signal Processing Systems,2(1):17-22.https://doi.org/10.12720/ijsps.2.1.17-22
Jagannath Nirmal.(2014).Complex cepstrum based voice conversion using radial basis function.International Scholarly Research Notices,2014(1):357048.https://doi.org/10.1155/2014/357048
Jagannath Nirmal.(2013).Line spectral pairs based voice conversion using radial basis function.Signal & Image Processing : An International Journal,4(2):26.
Jagannath Nirmal.(2013).A Novel Voice Conversion Approach Using Admissible Wavelet Packet Decomposition.EURASIP Journal on Audio, Speech, and Music Processing, Springer,28(1):1-10.https://doi.org/10.1186/1687-4722-2013-28
Jagannath Nirmal & Ankita Chhadha.(0).A comparative performance of various speech analysis-synthesis techniques.International Journal of Signal Processing Systems,2(1):17-22.

Proceedings

Jagannath Nirmal & Ninad Mehendale.Automated Classification of Skin Fungal Infections: A Comparative Study of Machine Learning Techniques.IEEE Region 10 Symposium (TENSYMP),New Delhi, India,September27-29,2024.

Books

No Information Available

Book chapters

No Information Available

IPR

  • Title : SOLAR CHARGE CONTROLLER FOR TRANSPORTATION SYSTEM
  • Application No : 20307/2020-CO/L
  • Author : Ashawami Mulik, Hamza Bootwala, Jagannath Nirmal, Kashinath Patil, Milind Marathe & Sharad Yadav
  • Status : Complete Specification
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