Dr. H. Mary Shyni
Assistant Professor (O.G)
Department Of Computer Science And Engineering
Contact Information
Email : maryshyh@srmist.edu.in
- Ph.D., Electronics and Communication Engineering, SRM Institute of Science and Technology, 2025
- M.Tech. Electronics and Communication Engineering, Anna University, 2010
- Computer Networks
- Digital Image Processing
- Communication Engineering
- Digital Image Processing
- Network Protocols and Algorithms
- Deep Learning.
- Deep Learning and Image Processing
- Shyni, H. Mary, and E. Chitra. “PulmonNet V1: Leveraging the benefit of Leaky ReLU activation for the local and multi-scale global feature integration of chest radiographs to classify pulmonary diseases”
Biomedical Signal Processing and Control 96 (2024): 106600. (SCI: IF – 4.9) - Shyni, H. Mary, and Chitra E. “PulmonU-Net: a semantic lung disease segmentation model leveraging the benefit of multiscale feature concatenation and leaky ReLU.”Automatika 65.2 (2024): 641-651. (SCI: IF – 1.9)
- Shyni, H. Mary, and E. Chitra. “A comparative study of X-ray and CT images in COVID-19 detection using
image processing and deep learning techniques. “Computer Methods and Programs in Biomedicine
Update 2 (2022): 100054. (Scopus: SNIP- 1.3) - A manuscript entitled “Hyper-parameters optimized deep feature concatenated network for pediatric
pneumonia detection” has been accepted in the journal IAES International Journal of Artificial
Intelligence (Scopus: SNIP- 0.8)
- Assistant Professor(Sr.G), Department of Computer Science and Engineering, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY, July 2025 – Till Date
- July 2011 to September 2015: Assistant Professor – Loyola ICAM College of Engineering and Technology, Chennai.
- June 2010 to June 2011: Assistant Professor – Mohamed Sathak A.J. College of Engineering, Chennai.
- Mary Shyni, H., and E. Chitra. “Fine-Tuning the Deep Learning Models Using Transfer Learning for the Classification of Lung Diseases from Chest Radiographs.”International Conference on Women Researchers in Electronics and Computing. Singapore: Springer Nature Singapore, 2023.
- Mary Shyni, H., and E. Chitra. “Optimizing the U-Net Model for Segmenting the Lung Opacity Regions in Chest Radiographs.” International Conference on Computing and Machine Learning. Singapore: Springer Nature Singapore, 2024.
- Shyni, H. Mary, and E. Chitra. “Unsupervised lung anomaly detection from chest radiographs for curative care using isolation forest algorithm.” 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development. IEEE, 2023.
- Shyni, H. Mary, and E. Chitra. “Using Transfer Learning for Automatic Detection of COVID-19 from
Chest X-Ray Images.” Advances in Science and Technology. Vol. 124. Trans Tech Publications Ltd - National Intellectual Property Awareness Mission Workshop, Intellectual property office, India |
18.08.2022| - How to write and publish a research article? Workshop, SRM-AP | 06.08.2022 |
- Machine Learning for Multidisciplinary Fields Workshop, SRMIST | 27.10.2022 to 31.10.2022 |
- Deep Learning Based Efficient Code Optimization in Software Engineering Workshop, SRMIST,
Kattankulathur | 24.02.2022 to 25.02.2022 | - Data Science Workshop, IIIT, Una | 27.12.2021 to 31.12.2021 |
- Recent Trends in Research and Applied Statistics Workshop, SRMIST | 15.12.2021 to 22.12.2021 |
- Sensor Data Analytics ATAL Workshop, IIIT Kottayam | 29.11.2021 to 03.12.2021 |
- Machine Intelligence ATAL Workshop, Loyola ICAM College of Engineering & Technology | 22.11.2021
to 26.11.2021 | - Deep learning for data analytics Workshop, RMK Engineering College | 29.06.2021 |
- How to write a research paper Workshop, VIT, Chennai | 22.06.2021 |
- Received Best paper Award for a presentation entitled ‘Using transfer learning for automatic detection of Covid-19 from Chest X-Ray images’ in the virtual International Research Conference on IoT, Cloud, and Data Science (IRCICD’25) on 25.11.2022.
- NIL