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    This post was last updated on       October 30th, 2023
BNMIT Engineering College

Shwetha M D


Designation: Associate Professor

Area of specialization: Machine learning, Image Processing, Deep Learning Medical Image Processing and Computer Vision.

Date of Joining BNMIT: 15/2/2023

Nature of Association (Regular/Contractual/Adjunct): Regular

E-mail Id: swetha.md@bnmit.in

No. of years of Experience:  12.6 Years

Qualification

DegreeInstitutionYear of Passing% of Marks Obtained
Ph.D(CSE)VVCE, Mysuru    April 2023 Awarded
M.Tech (CSE)

 

The Oxford College of Engineering, Bengaluru  2011 – 2013FCD
B.E

(CSE)

Coorg Institute of Technology,

South Kodagu

  2003-2007FC

Experience

Sl.NoDesignationInstitutionDuration
1.Associate ProfessorB.N.M. Institute of Technology June 2023 to till date
2.Assistant ProfessorB.N.M. Institute of Technology Feb 2023 to May 2023
3. 

Assistant Professor

B.M.S College of Engineering, BangaloreOct 2021 to Feb-2023
4. 

Assistant Professor

Dayananda Sagar College of Engineering, K.S.Layout, BangaloreJan 2014 to Sept 2021
5.LecturerGPW, BangaloreAug 2009 to Sept 2011
6.Software TraineeIVAR Services Pvt. Ltd.Feb 2008- Jan 2009

Awards and Achievements

Patent Details:

  • M.D et.al filed and published an Indian Patent on “Automated Diagnosis of Multiple Sclerosis Lesions in Normal Appearing White Matter from Brain MRI” on Routine MRI Sequence” on Feb- 2021 with IP RIGHT NUMBER: 2021101321.
  • Innovation Patent has been granted to Swetha M D et.al on “WS-Cloud and Big Query Data Performance Improved using Machine & Deep Learning” by Australian Government on June -2021 with IP RIGHT NUMBER: 202141004383.
  • Completed Google Cloud Career Readiness Program -ACE TRACK

Professional Memberships

Life Member of ISTE: Indian Society for Technical Education (ISTE), India

Expertise / list of Subjects handled

  • Artificial Intelligence, Machine learning, Image Processing & Computer Vision

List of subjects handled-

  • Internet of Things
  • Storage Area Network
  • Object Oriented Modeling & Design
  • Discrete Mathematical Structures
  • Operational Research
  • Operating System
  • Graph Theory & Combinatorics
  • Software Architecture
  • Cyber Law for IT Engineers
  • Biology for IT Engineers
  • Biology for IT Engineers

Research Interest

  • Artificial Intelligence, Machine learning, Image Processing & Computer Vision

Journal

  • Swetha M D1, C R Aditya2, “Noise Invariant Convolution Neural Network for Segmentation of Multiple Sclerosis Lesions from Brain Magnetic Resonance Imaging”, Published in IJOE, Vol- 18, Issue 9, Oct 2022.
  • Swetha M D1, C R Aditya2, “Sparse Feature Aware Noise Removal Technique for Brain Multiple Sclerosis Lesions using Magnetic Resonance Imaging” Published in IJACSA,Volume 13, Issue 6, June 2022.
  • Manoj V. Khatokar1, Hemanth Kumar2, Swetha M D,“Automated Detection of Multiple Sclerosis Lesions in Normal Appearing White Matter from Brain MRI: A Survey”, Published in Asian Journal of Computer Science and Technology, ISSN: 2249-0701,pp.38-44,Vol.10 No.1, May 2021.
  • Pavana H R1, Swetha M D2, “Predicting the Multiple Sclerosis Lesions of Brain Using Convolutional Neural Network”, Published in International Journal of Innovative Research in Computer and Communication Engineering, Volume 8, Issue 7, June -2020.
  • M.D1,Dhanush2 et.al, “A Survey on Identification of Multiple Sclerosis Lesions from Brain MRI” ,Published in International Journal for Research in Applied Science Engineering Technology, Pgs- 1386-89, Volume 8 Issue V, June-2020.
  • Ayush Arora1, Ritesh Kumar2, Shubham Tiwari3, M.D4, S.Venkatesan 5 ,“Classification of Brain Tumor Using Devernay Sub-Pixel Edge Detection and K-Nearest Neighbours Methodology” Global Journal of Medical Research and Neuro immunology and Neuro inflammation, Oct-2018.
  • Ayush Arora1, Priyanshu Roy1, Shwetha MD2, S Venktesan2, “k-NN Based Classification of Brain MRI Images using DWT and PCA to Detect Different Types of Brain Tumour”, International Journal of Medical Research & Health Sciences, ISSN No: 2319-5886, May

Hobbies

  • Playing Badminton
  • Read Books

Sports

  • Playing Badminton
  • Carrom
  • Table Tennis

Music

  • Listening to Melodious Songs