माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in

Department of Computer Science & Engineering

  2. Faculty Profiles
  3. JAIMALA JHA
JAIMALA JHA

JAIMALA JHA

Designation: Assistant Professor
Qualification: M.Tech.
Area of Interest:  Image Processing 
Phone No: 9907313413
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Jaimala Jha has been working as a Asst. Prof. of CSE Department at Madhav Institute of Technology and Science for 13 years. Her reserch interest in Image Processing ,Data Mining, Neural Network, Artificial Intelligence. She has Guided more than 15 Mtech Scholar.
  • Work Experience:

    Work Experience :12 years
  • Administrative Experience:

    Experienec from 2017-2023

    • Worked as a assistant Exam superitendant in 2017 and 2018
    • Member of  Institute Grievance Cell commitee
    • Swayam Prabha coordinator
    • Department Placement Coordinator
    • Department Alumni & MoU Coordinator
    • Department of Parent Coordinator
    • Faculty coordinator of AASF MOU with ABV-IIITM gwalior
    • Faculty coordinator of Scrabble MITS Club
  • Research Supervision:

    Guided Research projects more than 15 MTech students. 
  • Workshop/Conference/Organized/Attended:

    Conducted :  Two days workshop on Recent Trends and Image Security 

    Conducted :  Summer internship Module" Image processing using MATLAB" coordinator

     

     
  • Publications:
    1. J. Jha and S. S. Bhaduaria, “A novel approach for retrieval of historical monuments  images using visual contents and unsupervised machine learning,” Int. J. Adv. Trends   Comput. Sci. Eng., vol. 9, no. 3, pp. 3563–3569, 2020, doi:10.30534/ijatcse/2020/162932020. 
    2.  R. Jayaswal, J. Jha, and M. Dixit, “Mining of Images by K-Medoid Clustering Using  Content Based Descriptors,” Int. J. Signal Process. Image Process. Pattern Recognit.,  vol. 10, no. 8, pp. 135–144, 2017, doi: 10.14257/ijsip.2017.10.8.12
    3.  J.  Jha, “Review of Various Shape Measures for Image Content Based Retrieval,”vol. 3, no. 6, 2015.
    4.  R. Devesh, J. Jha, R. Jayaswal, M. Gwalior, and M. Pradesh, “Retrieval of Monuments images Through ACO Optimization Approach,” Int. Res. J. Eng. Technol., vol. 4, no. 7, pp. 279–285, 2017, [Online]. Available: https://irjet.net/archives/V4/i7/IRJET-
      V4I748.pdf.
    5. S Duseja, J. Jha, "Transfer learning-based Fashion Image Classification using Hybrid 2D- CNN and ImageNet Neural Network" International Journal for Research in Applied Science & Engineering Technology vol. 9  issue 11 Nov. 2021.
    6. P. Pal,  J.  Jha,  "A REVIEW STUDY ON FACE GENDER RECOGNITION USING DEEP LEARNING", Journal of Emerging Technologies and Innovative Research (JETIR)November 2021, Volume 8, Issue 11.

    7. P. Pal,  J.  Jha, "SURVEY PAPER ON FACE GENDER RECOGNITION USING DEEP ", IRJET 2021

    8.  A Novel approach for Retrieval of Historical Monuments Images using Visual Contents and Unsupervised Machine Learning International Journal of Advanced Trends in Computer Science and Engineering 2020.  WARSE

    9.  R. Dhameja, J. Jha,  "Analysis of Clustering Methods with CBIR-A survey", is published in International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET).

    10. R. Dhameja, J. Jha,  "A Hybrid Approach for Image Retrieval" is published in A UGC-CARE Approved Group-II, Compliance Engineering Journal (CEJ).

       
  • Complete Resume:

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