This post was last updated on October 30th, 2023
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
Degree | Institution | Year of Passing | % of Marks Obtained |
Ph.D(CSE) | VVCE, Mysuru | April 2023 | Awarded |
M.Tech (CSE)
| The Oxford College of Engineering, Bengaluru | 2011 – 2013 | FCD |
B.E (CSE) | Coorg Institute of Technology, South Kodagu | 2003-2007 | FC |
Experience
Sl.No | Designation | Institution | Duration |
1. | Associate Professor | B.N.M. Institute of Technology | June 2023 to till date |
2. | Assistant Professor | B.N.M. Institute of Technology | Feb 2023 to May 2023 |
3. | Assistant Professor | B.M.S College of Engineering, Bangalore | Oct 2021 to Feb-2023 |
4. | Assistant Professor | Dayananda Sagar College of Engineering, K.S.Layout, Bangalore | Jan 2014 to Sept 2021 |
5. | Lecturer | GPW, Bangalore | Aug 2009 to Sept 2011 |
6. | Software Trainee | IVAR 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