Mrs. Uttara Dongre
NAME : Mrs. Uttara Dongre.
DESIGNATION : Assistant Professor
QUALIFICATION : B.Tech, M.Tech, (PhD).
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Ph.D. (Computer Engineering) – SCTR’s Pune Institute of Computer Technology, Pune (Status: Pursuing)
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M.Tech (Electrical Engineering) – Veermata Jijabai Technological Institute (VJTI), Mumbai
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B.E. (Electronics and Telecommunication Engineering) – Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra
OVERVIEW OF PROFILE
Mrs. Uttara Dongre is an Assistant Professor in the School of Electrical Engineering at MIT Academy of Engineering, Pune, India. She is currently pursuing her Ph.D. from SCTR’s Pune Institute of Computer Technology, Pune. She holds a B.E. degree in Electronics and Telecommunication Engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, and an M.Tech degree in Electrical Engineering from Veermata Jijabai Technological Institute (VJTI), Mumbai.
She has both teaching and industrial experience, with a total of over 8 years of teaching experience. Her areas of interest include Deep Learning and Natural Language Processing.
EMAIL ID : uttara.dongre@mitaoe.ac.in
EXPERIENCE : Teaching: 8+ Years
- Aswathy M A is selected as the winner of the Impact Innovator Award under the Innovation Awards category during the Future Tech Summit’24, at the AI Research Centre, Woxsen University, Hyderabad.
- Aswathy M A is selected as Best Teacher Award in the department of SEE for 2023-2024 AY.
- Aswathy M A is awarded the best case study presentation under the outcome based education category during the Faculty Conclave 2024 conducted by MITAOE.
PATENTS(Granted/Published): 5 (3 Indian and 2 International)
- Solar-Powered AI-Driven Robot for Precision Farming, UK Design Registration No. 6424472, granted on 17/03/2025.
- An Indian Design patent has been granted by the Indian patent office for a patent application titled "Portable Gas Chamber for Alcohol Detection". The patent granted on January 5 2024.
- An Indian utility patent titled “Raspberry Pi based real-time cancer detection device using deep learning technique” granted on dated 21/03/2024 (File No. 202041040783).
- An Indian utility patent titled “Method and Apparatus for Rapid Low Cost COVID-19 detection from Exhaled breath” published on 11/08/2023 (File No. 202321038326).
- A South African design patent titled” System, Method and Device for Non-Invasively Identifying Chronic Kidney Diseases from Saliva of a User” filed on 14/4/2023 (File No. 2023/04407) and granted on 29 November 2023.
PUBLICATIONS
RESEARCH PUBLICATIONS
- Aswathy, M.A. Jagannath, M. 2016, ‘Detection of breast cancer on digital histopathology images: present status and future possibilities.’, Informatics in Medicine Unlocked 8, 74–79. (Scopus, Publisher: Elsevier)
- Aswathy, M.A. Jagannath, M. 2020, ‘Dual stage normalization approach towards classification of breast cancer.’, IETE Journal of Research 68, 3074–3085. (Scopus, Publisher: Taylor and Francis, IF: 1.877)
- Aswathy, M.A. Jagannath, M. 2020, ‘Performance analysis of segmentation algorithms for the detection of breast cancer.’, Procedia in Computer Science 59, 666–667. (Scopus, Publisher: Elsevier)
- Aswathy, M.A. Jagannath, M. 2021, ‘An SVM approach towards breast cancer classification from HandE- stained histopathology images based on integrated features.’, Medical and Biological Engineering and Computing 167, 1773–1783. (Scopus, Publisher: Springer Nature, Impact Factor: 3.079)
- M Jagannath, C Madan Mohan, Aswin Kumar, MA Aswathy, N Nathiya. 2020, “Design and testing of a spirometer for pulmonary functional analysis”, International Journal of Innovative Technology and Exploring Engineering 8, 343-347 (Scopus)
- Tupe-Waghmare, P., Bhaskar, N., & Aswathy, M. A. (2024). An efficient convolutional neural network-extreme gradient boosting hybrid deep learning model for disease detection applications. International Journal of Electrical & Computer Engineering, 14(2), 2088-8708.
- Bherje, A., Jidge, A., Roy, C., Hulke, A., Aswathy, M. A., Yadav, V., & Veenamol, K. V. (2024). Design of deep learning-based approach to predict lung cancer on CT scan images, in 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT) (pp. 1-5). IEEE.
- Aswathy, M.A. Jagannath, M. (2019),” Performance Analysis of Segmentation Algorithms for the Detection of Breast Cancer”, in Proceedings of International Conference on Computational Intelligence and Data Science, Gurugram, India.
- Aswathy M A, Santha S, Jayanthi K B, “Analysis of Performance of various algorithms for the segmentation of carotid artery” in the IEEE EMBS International Conference held in 2013 Jan. at Sheraton Hotel, Bangalore.
- Aswathy, M.A. and Jagannath, M. (2020),” Analysis of Machine Learning Algorithms for Breast Cancer Detection”, In. Sathiyamoorthi Velayutham (Eds), Handbook of Research on Applications and Implementations of Machine Learning Techniques, IGI Global, India, pp. 1-20.
- Aswathy, M.A. Jagannath, M. (2023),” Machine Learning Algorithms for Breast Cancer Detection.” Research Anthology on Medical Informatics in Breast and Cervical Cancer, edited by Information Resources Management Association, IGI Global, pp. 309-329.
- Sontakke, R., Shinde, P., Avhad, V., Kadam, Y., Yadav, V., & Aswathy, M. A. (2024). Web-based framework for the prediction of Type 1 diabetes in youth using EHR's data. In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2024, Volume 2 (p. 445). Springer Nature.
- Sawant, P., Bokefode, S., Deshmukh, S., Yadav, V. P., & Aswathy, M. A. (2024). Real-time AI-based face-mask detection. In U. Nanda et al. (Eds.), Advances in distributed computing and machine learning, Lecture notes in networks and systems, Volume 1015 (Vol. 2, pp. 85-97). Springer.