Institute Level:

• SPOC/Skill Coordinator for NSDC- ASPIRE- VTU- Feb-2023  to till date.
• Coordinator for organizing the event “Sankalpa”, Industry Conclave-2023 being organized on 22nd July,2023 in BNMIT

Department Level:

• Department level Coordinator for PG –M.Tech (CSE), 2023-24.
• Department level Coordinator for Institution of Innovation council (IIC) since June 2023-till date.
• PG –BOS and BOE Member for the Academic Year 2023-24.
• NSS/NCC/Sports Coordinator since July 2024-till date.
• Department level Coordinator for NBA Criterion 1 during 2023-24.
• Department level Technical support for IEDC presentation on 2024.
• Department level TATVA Coordinator for the year 2023-24.
• Coordinator for Coffee Table Book for the year 2022-23.
• PTM Coordinator since April 2023 to till date.
• IPL Coordinator during Aug –Jan 2024.

Expertise / list of Subjects handled

Undergraduate

• Artificial Intelligence and Machine Learning
• Software Project Management and Finance
• Machine Learning
• Web Technology
• OOPS with Java
• Internet of Things
• Software Testing
• Storage Area Network
• Object Oriented Modeling & Design
• Discrete Mathematical Structures
• Operational Research
• Operating System
• Wireless Sensor Networks
• Software Architecture & Design Patterns
• Cyber Law for IT Engineers
• Biology for IT Engineers.

Postgraduate 

• Analysis and Design of Algorithms
• Wireless Sensor Networks
• Network Management

Research Interest

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

International Journal:

• Manjunatha Shivanandappa, Swetha Mysore Devaraje Gowda et.al, “Energy and cost-aware workload scheduler for heterogeneous cloud platform”, Vol. 38, No. 1, April 2025, pp. 546~554, ISSN: 2502-4752.DOI: 10.11591/ijeecs.v38.i1.
• Swetha M D, Varsha S Anand, Samhitha Holla ” Development and Evaluation of ‘DocBot’- A Multifaceted Medical Conversational Agent”, International Journal of Research and Analytical Reviews (IJRAR), Pgs-953-960, Volume11, May 2024.
• Manjunatha S, Swetha M D, Mallikarjuna Swamy S, Rashmi S, Ananda Kumar Subramanian, Vinoth Kumar V, “Convolutional Neural Network-based image tamper detection with Error Level Analysis” , 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE),DOI: 10.1109/IITCEE59897.2024.10467563
• Manjunatha S, Malini M. Patil, and M. D. Swetha. “Tampering Detection and Segmentation Model for Multimedia Forensic”, International Journal of Advanced Computer Science and Applications 14, no. 9 (2023).
• S Rajashree, RB Madhumala, R Sunitha, M D Swetha, “Zero-knowledge proof for online auctions”, The Indian Journal of Technical Education, volume 45 no. 3, ISBN 0971-3034.
• Swetha M D, Aditya C R, “Noise Invariant Convolution Neural Network for Segmentation of Multiple Sclerosis Lesions from Brain Magnetic Resonance Imaging”, International Journal of Online and Biomedical Engineering (IJOE) Vol. No 18 Issue No 13 Page No 38-55.
• Swetha M D, Aditya C R, “Sparse Feature Aware Noise Removal Technique for Brain Multiple Sclerosis Lesions using Magnetic Resonance Imaging ”, International Journal of Advanced Computer Science and Applications, Vol. 13, Issue 6, Pgs: 527-533July 2022.
• Manoj¹, Hemanth Kumar², K. Chandrahas³, M.D.Swetha⁴, “Automated Detection of Multiple Sclerosis Lesions in Normal Appearing White Matter from Brain MRI: A Survey”, Asian Journal of Computer Science and Technology, ISSN: 2249-0701 Volume 10, Pgs: 38-44, June 2021.
• Swetha M D¹, Pavana H R², “Predicting the Multiple Sclerosis Lesions of Brain using Convolutional Neural Network”, International Journal of Innovative Research in Computer and Communication Engineering, Volume 8, Issue 7, July 2020.
• M.D¹, Dhanush², “A Survey on Identification of Multiple Sclerosis Lesions from Brain MRI”, 25th International Journal for Research in Applied Science & Engineering Technology, ISSN: 2321- 9653, Pgs 1386-89, Volume 8 ,Issue V May 2020.
• Swetha M. D¹, Venkatesan S² “Segmentation of Gliomas using GLCM Features and Classification of Gliomas in Brain using SVM Classifier ”, MAT Journals, Volume 4, Issue 2, Pgs 23-31, July 2019.
• Ayush Arora, Mysore Shwetha, Selvam Venkatesan et.al, “Classification of brain tumor using devernay sub-pixel edge detection and k-nearest neighbours methodology ”, Neuroimmunology and Neuroinflammation, Pgs 1-8,19 June 2018.
• Ayush Arora¹ , Priyanshu Roy¹, Shwetha M D² ,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, Volume 6, Issue 9, Pgs:15-20, ISSN: 2319-5886, Oct 3,2017.

International Conferences:

• Swetha M D, Arun Hegde,Kirthi M V,Manuvardhan V,Rajashree S,Priya S ,”PeerTube Native Client: A Comprehensive Study on Enhancing User Experience in Decentralized Video Sharing”International Conference on Computing and Intelligent Information System (ICCIIS) organized by BNM institute of Technology, Bangalore from, April 19,20 -2024.
• Manjunatha S, Swetha M D, Mallikarjuna Swamy S, Rashmi S, Ananda Kumar Subramanian, Vinoth Kumar V, Convolutional Neural Network-based image tamper detection with Error Level Analysis, 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), DOI: 10.1109/IITCEE59897.2024.10467563
• Swetha M D, C R Aditya, “Text Detection and Recognition from the Scene Images using RCNN and Easy OCR”, 7th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS April 2023).

Patents:

• Swetha M.D et.al filed and published an Indian Patent on “AI Enhanced EMG Activity Recognition Device”, Awaiting for grant with an application number: 439816-001.
• Swetha M.D et.al filed and published an Indian Patent on “IoT Based AutomatedAntimicrobial Susceptibility Testing Device”. Awaiting for grant with an application number: 422083-001.
• Swetha 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.

Book Chapter:

Swetha M D, C R Aditya, “Text Detection and Recognition from the Scene Images using RCNN and Easy OCR”, 7th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS April 2023) (Springer).

Hobbies

• Playing Badminton
• Read Books

Sports

• Playing Badminton
• Carrom
• Table Tennis

Music

• Listening to Melodious Songs