Brief Profile
Dr. Thasleema T M, working as Assistant Professor, Department of Computer Science. She has obtained her Ph.D in Computer Science from Kannur University. Her research and development interests include Artificial Intelligence, Digital Signal Processing, Machine Learning, Digital Speech Processing, and Natural Language Processing. She has more than 30 research articles into her credit published by international journals and conferences of repute. Recently she has been awarded a design patent for modeling a helmet for epilepsy detection. Her publications have obtained about 265 citations from contemporary researchers and an H-index of 4. She has been actively involved with research and development activities and also an active member of IEEE.
Education
| Degree | College Name | Year Of Passing |
|---|
| Ph.D. | Kannur University | 2013 |
Experience
| Employer Name | Designation | Start From | End To |
|---|
| Central University of Kerala | Assistant Professor | 2013 | |
Teaching & Research Guidance
| Level Of Teaching | Subjects |
|---|
| Post Graduate | Digital Signal Processing |
| Post Graduate | Image Processing |
| Post Graduate | Pattern Recognition |
Recent and Major Publications
- Shibina, V. , Thasleema, T.M. (2025). "Voice feature-based diagnosis of Parkinson’s disease using nature inspired squirrel search algorithm with ensemble learning classifiers". Iran Journal of Computer Science, 27, 657 - 671
- Raju, R. , Thasleema, T.M. (2024). "Cutting-edge ensemble framework of deep convolutional neural networks for high-precision insect pest classification". Journal of Plant Diseases and Protection, 131(6) & 2207 - 2219
- Muhammed Bilal, C.A. , Thasleema, T.M. (2024). "Optimized Ensemble Deep Learning for Automated Crop Area Mapping Using Satellite Imagery". IEEE International Cosmic 2024 - nference on Computing, Semiconductor, Mechatronics, Intelligent Sys, 206 - 211
- Raju, R. , Thasleema, T.M. (2024). "Data-Driven Crop Recommendation System for Indian Agriculture: Leveraging Machine Learning for Sustainable Development". cosmic 2024 - IEEE International Conference on Computing, Semiconductor, Mechatronics, Intelligent S, 177 - 182
- Shibina, V.; Thasleema, T.M. (2024). "A hybrid approach to detecting Parkinson's disease using spectrogram and deep learning CNN-LSTM network". International Journal of Speech Technology, 27, 657 - 671
- Bhaskar, Shabina, and Thasleema Thazhath Madathil. (2022). "Multimodal Based Audio-Visual Speech
Recognition for Hearing-Impaired: State of the Art Techniques and Challenges". Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 10,2 & 385 - 397
- Bhaskar, Shabina, and Thasleema T M (2022). "LSTM model for visual speech recognition through facial
expressions.". Multimedia Tools and Applications, 81, 10 & 1-18
- Zakir Ali, Arbab Waseem Abbas, T. M. Thasleema (2015). "Database
Development and Automatic Speech Recognition of Isolated Pashto Spoken Digits Using MFCC and K-NN". International Journal of Speech Technology, 18,2 & 271-275
- Thasleema, T.M.; Prajith, P.; Narayanan, N.K. (2012). "Time-domain non-linear feature parameter for consonant classification". International Journal of Speech Technology, 15 & 227 - 239
Research Projects Undertaken
| Project Title | Project Type | Commencement Year | Completion Year | Funding Agency |
|---|
| HYBRID ACOUSTIC-VISUAL FEATURES FOR CONTINUOUS
SPEECH RECOGNITION | Startup Grant | 2015 | 2017 | UGC |
Miscellaneous
| Membership/Fellowship of other institutions/professionals societies : |
IEEE Member
WIE Advisor, IEEE Student Branch, CUK
Treasurer, IEEE Malabar Subsection
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| Student related co-curricular, extension and field based activities and counseling. |
Nodal Officer, IEDC CUK
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| Contribution to corporate sector-management of the department and institution through participation in academic and administration,committees and responsibilities.
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Special Secretary to Vice Chancellor
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| Other activities/Responsibilities : |
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| Any other relevant information, if not given above : |
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