Home

Professional Bodies

• Professional Membership, Indian Society for Technical Education, Since 2015(Lifetime membership)

Research Interest

• • • Machine learning

    • Deep Learning

    • Biomedical imaging

    • Lung disease classification and detection

    • Microcontroller based design

    • MATLAB

Projects / Theses Guided

• • • • 'Automatic Uplifting of Pedestrian crossing platform using traffic congestion monitoring by S Vaishnavi, Soumya K G and Maduri P.S. This work has been presented in 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC).

      • Vocal Optimized Integrator for Consumable Electricity by Bhagya S, Biby Thomas, Arjun PR, UG 2019. This work has been presented in TENCON 2019(IEEE Region 10 International Conference) and Published in Conference proceedings IEEE 2019.

      • Classification of Hyperspectral Images using PPI and LMM, Pavithra Sukumar, PG 2018.

      • Freddo Caldo: Lekshmi P.R., S. Ashiq, Mahesh, Tony P. Ninan, UG 2018

      • Emotion Detector: Sreehari S. Shabin, Vaisakh Sankar, UG 2018

      • Colour based Object sorting robotic arm using RASPBERRY PI : Febin M.A., Amina Anwar, Greeshma Babu, Sana Salam, UG 2017

      • Voice controlled self moving robotic Exoskeleton(VSMREx):Amal S.S., Adarsh S P, Arun S.R., Jithin Babu B.L., UG 2016

      • Wireless Home Automation: Jithin L.R., Dhanesh, Lisha Manuel, Maneesh,UG, 2015

      • Flex sensor controlled robotic vehicle with wireless surveillance : Vishnu M., Nithin R., Shabeena Mol., Thara Krishnan, UG, 2015

      • Retinal Blood vessel Segmentataion using Gray level and moment invariant based features : Adarsh S.P., Faseem Mohammed, Preeth Hari, Vignesh S., UG, 2014

      • Patch Based super-resolution on Depth maps. : Sreelekshmi. B, PG, 2015

      • Interpolation based Image Super-resolution : Reshma R.V. , PG,2014

Significant Publication

• • • Study on Public Chest X-ray Data sets for Lung Disease Classification, Conference proceedings, IEEE, 2021, DOI: 10.1109/ICSPC51351.2021.9451726

    • Comparative analysis on Deep Neural Networks for Brain tumor detection , Conference proceedings, IEEE, 2021, DOI: 10.1109/ICSPC51351.2021.9451742

    • 'Automatic Uplifting of Pedestrian crossing platform using traffic congestion monitoring , Conference proceedings, IEEE, 2021, DOI: 10.1109/ICESC51422.2021.9532869

    • Vocal Optimized Integrator for Consumable Electricity', in Conference proceedings IEEE,2019, DOI: 10.1109/TENCON.2019.8929404

    • RGB patch clustering for Hyperspectral image Super-resolution', in Conference Proceedings IEEE, 2018, DOI: 10.1109/ICAPR.2017.8592997

    • Classification of Hyperspectral Images using PPI and LMM’, IJARIIT, May 2018.

    • Patch Based Super-resolution of Depth maps’ in IJERT, Volume4, Issue.06, June 2015.

Conferences attended

• Presented a work on Study on Public Chest X-ray Data sets for Lung Disease Classification in 2021 3rd International Conference on Signal Processing and Communication (ICPSC).

• Presented a work on Automatic Uplifting of Pedestrian crossing platform using traffic congestion monitoring in 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC).

• Presented a work on Vocal Optimized Integrator for Consumable Electricity in 2019 IEEE Region 10 Conference (TENCON).

• Presented a work on RGB Patch Clustering for Hyperspectral Image Super-resolution using Sparse Coding' in the Ninth International Conference in Advances in Pattern Recognition (ICAPR 17) held at Indian Statistical Institute( ISI) Bangalore , December 2017.

FDPs Attended/ Certifications

• Workshop on Machine learning Applications by IIIT Mandi and Karunya Institute of Technology and Sciences from 10-05-2022 to 14-05-2022.

• 'Deep learning and Neural Networks by Mohandas College of Engineering and Technology from 05-07-2021 to 09-07-2021.

• 'Starting research from scratch' by Karunya Institute of Technology and Sciences from 24-05-2021 to 29-05-2021.

• 'Self Adaptive system and Machine Learning ' by Mahaguru Institute of Technology, Kattachira from 22-04-2021 to 26-04-2021.

• 'Mathematical foundations for machine learning' by Sreebudha College of Engineering from 22-03-2021 to 26-03-2021.

• 'Data Science and Analytics using MATLAB' by CoreEL Technologies on 24-02-2021.

• 'Emerging Trends in Machine Learning and Its applications' at UCK college of Engineering from 5th August to 10th August 2020.

• 'Deep Neural Networks with PyTorch'-, Couursera, 21-05-2020.

• 'Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization', Coursera, 17-05-2020.

• 'Neural Networks and Deep Learning', Coursera, 06-05-2020.

• 'Convolutional Neural Networks', Coursera, 05-05-2020.

• 'Summer School on Machine Learning' at Indian Institute of Information Technology, Hyderabad from 7th July to 13July 2019.

• 'Deep Learning and IoT Applications using MATLAB', Dept. of ECE, Mar Baselious Collge of Engineering and Technology, 21st to 25th January 2019.

• 'Advances in Machine Learning and Deep Learning' , Dept. of CSE, Rajadhani Institute of Engineering and Technology, 17-21 December 2018.

• 'Deep Learning and Applications' , Centre for Interdisciplinary Research, CET, Trivandrum from 16-20 April 2018.

• 'Research Colloquium on Research proposals and grants' , 26-27 July 2018.

• 'Embedded Systems', Dept.of ECE, Marian Engineering College, 6-8 December 2017

• 'Digital Signal Processing and Internet of Things', Dept.of ECE, Marian Engg College, 24-28 July 2017..

• 'Significance of Research Development and New age recruitment trends', IEDC, Marian Engg. College, 19-20 July 2017.

• 'Image and Speech Processing with Practical Applications' , Dept. of ECE, Mar Baselious Collge of Engineering and Technology, 9-13 January 2017.

• ' Engineering Education and Research seminar' , National instruments, 25 November 2016.