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    This post was last updated on       March 9th, 2023
BNMIT Engineering College

Shwetha M D

Designation: Assistant 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


DegreeInstitutionYear of Passing% of Marks Obtained
Ph.D(CSE)VVCE, MysuruPursuing Ph.D (VTU)


The Oxford College of Engineering, Bengaluru  2011 – 2013FCD


Coorg Institute of Technology,

South Kodagu



1.Assistant ProfessorB.N.M. Institute of Technology Feb 2023 to till date

Assistant Professor

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

Assistant Professor

Dayananda Sagar College of Engineering, K.S.Layout, BangaloreJan 2014 to Sept 2021
4.LecturerGPW, BangaloreAug 2009 to Sept 2011
5.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


  • 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


  • Playing Badminton
  • Read Books


  • Playing Badminton
  • Carrom
  • Table Tennis


  • Listening to Melodious Songs