Ms Nisha Joseph

Ms. Nisha Joseph

Ms Nisha Joseph

Designation: Assistant Professor(spl)

 

Professional Experience

Teaching: 16

Research: 4

 

Specialization:

UG: Computer Engineering

PG: Computer and Information Technology

PhD: Pursuing (Final stage)

 

Memberships:

ACM (6225485)

British Computer Society (995029518)

ISTE (LM 45237)

Internet Society (2217208)

IAENG (International Association of Engineers- 262842)

 

 

Research Interests:

Medical Image Processing

Artificial Neural Networks

 

Patent Published: 

   1.Title of Invention: Covid Tracker,

      The Patent Office Journal No. 51/2020 Dated 18/12/2020

   2.Title of invention:Cryptography Based Financial Analytical Tool Through Artificial Intelligence,

      The Patent Office Journal No. 35/2020 Dated 28/08/2020

 

Publications:

International Journals

  1. “Segmentation and Calculation of Volume of Tumor on MRI using Efficient Feature Extraction Techniques”, International Journal of Pharmaceutical Research DOI: https://doi.org/10.31838/ijpr/2020.12.04.595 http://www.ijpronline.com/ViewArticleDetail.aspx?ID=19163

  2. “The Role of Educational Technologies in CSR Perception of Tourism Education: The Comparative Analysis of E-Learning and M-Learning Tools as Moderators”, Journal of Risk and Financial  Management https://doi.org/10.3390/jrfm13120318

  3. “Patient Specific Brain Tumor Segmentation using Context Sensitive Feature Extraction in MR Images”, International Journal of Computing and Digital Systems,(2020), DOI:https://dx.doi.org/10.12785/ijcds/090607,  ISSN (2210-142X) https://journal.uob.edu.bh/handle/123456789/3912

  4. “ A Novel Efficient Deep Feature Extractor and Classifier Approach for Brain Tumor Segmentation in Magnetic Resonant Images”, Bioscience Biotechnology Research Communications ,(2020), DOI: http://dx.doi.org/10.21786/bbrc/13.4/57
  1. “Brain Tumor segmentation using Deep Convolution Neural Network and Support Vector Machine”, Journal of Critical Reviews, (2020), DOI: 31838/jcr.07.19.71, ISSN- 2394-5125, http://www.jcreview.com/?mno=102762       http://www.jcreview.com/fulltext/197-1594889473.pdf?1597918122 
  1. “Brief Survey on MRI Brain Image Segmentation Using Image Processing Techniques” , International Journal of Advances in Computer Science and Technology (2020), ISSN 2320 – 2602 http://www.warse.org/IJACST/static/pdf/file/ijacst22972020.pdf 
  2. ”Deep Weber Dominant Local Order Based Feature Generator and Improved Convolution Neural Network for Brain Tumor Segmentation in MR Images”, International Journal of Engineering and Advanced Technology, (2020) DOI: 10.35940/ijeat.C4702.029320, ISSN: 2249-8958 (Online), Volume-9 Issue-3, Page No. 3150-3157.   https://www.ijeat.org/wp-content/uploads/papers/v9i3/C4702029320.pdf
  3. “Adaptive Multi-Threshold Based De-noising Filter for Medical Image Applications” –International Journal of Computational Vision and Robotics, (2019), Vol.9,No.3, https://www.inderscience.com/info/inarticle.php?artid=99439    DOI: 10.1504/IJCVR.2019.099439
  4. “Survey on Image De-noising Based on Two- Stage Median Filtering Approach”- International Journal of Advanced Research in Computer Engineering & Technology, (2017) Volume 6, Issue 9.http://ijarcet.org/wp-content/uploads/IJARCET-VOL-6-ISSUE-9-1494-1498.pdf
  5. “Compression of Color images using clustering techniques”- IJSER –International Journal of Scientific and Engineering Research, (2013), Volume 4, Issue 8. https://www.ijser.org/onlineResearchPaperViewer.aspx?Compression-of-Color-Images-Using-Clustering-Techniques.pdf
  6. “Advanced encoder for scanned multifaceted manuscripts using clustering techniques” International Journal of CSE and IT research, (2013), Volume 3, Issue 2 June.
  7. “Image compression using clustering techniques” –International Journal of CSE and IT research,March(2013) 

 International Conference

  1. A Brief Survey on MRI Brain Image Segmentation Using Image Processing Techniques”, ICCIDT-2020 at Managalam College of Engineering, Kottayam.
  1. “ Dual Threshold Adaptive Filter Cascaded with Cuckoo Search optimization Technique to maximize the Peak Signal ratio for Denoising the Mammogram Image”, International E-Conference on Electrical, Communication and Computing(2020) at Tagore Engineering College,  Chennai.
  1. “Performance Study on Brain Tumor Segmentation Techniques”, IEEE International Conference on Computing Communication and Automation at Galgotias University, (2018) Greater Noida, Delhi NCR, India. https://ieeexplore.ieee.org/document/8777660
  1. “Comparative Study on Fully Automatic Supervised Machine Learning Techniques for Brain Tumor Segmentation in MR Images”, International Conference on Emerging Trends and Challenges in Science and Arts 2018 (ICETC 2018) at NPR Arts and Science College on 28th December 2018. 

National Conference

  1. “Data mining integration with relational databases” (2009), National Conference on Frontier Research Areas in Computing.

Contact Details:

     GSM: +91 9847223135

     Email: nisha.joseph@saintgits.org

Quick Contact

SAINTGITS COLLEGE OF ENGINEERING

Kottukulam Hills, Pathamuttom
PO Kottayam, Pin – 686532, Kerala

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anjukakkad@saintgits.org

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