Departments
Admin

Ms. Sobha Xavier P

Assistant Professor

Areas of Specialization

Programming languages, Data structures and algorithms, Theoretical computer science , Machine learning and Medical image processing using deep learning
Areas of Interest

Programming languages
Data structures and algorithms
Theoretical computer science
MachineLearning and Medical Image Processing using Deep Learning

Educational Summary


Course University Year
Bachelor of Technology (B.Tech) Calicut University 2008
Master of Engineering (ME) Anna University Chennai 2013
Pursuing a Doctor of Philosophy (Ph.D.) Christ University , Bangalore

Experience


From Date To Date Institution Name Designation
2009-02-04 0000-00-00 Jyothi Engineering College Assistant Professor

Achievements


Achievement Year
KTU Centre for Engineering Research and Development (CERD) fund -(Student Project) 2024
KCSTE-TECHFEST INNOVATIVE SCHEME FUND (Student Project) 2017

Papers Published


K. T.K. and Sobha Xavier, "An Intelligent System for Early Assessment and Classification of Brain Tumor," 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, India, 2018, pp. 1265-1268, doi: 10.1109/ICICCT.2018.8473297.
Xavier, P.S., Raju, G., Asawthy, S.U. (2022). Pre and Post Operative Brain Tumor Segmentation and Classification for Prolonged Survival. In: Abraham, A., et al. Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). SoCPaR 2021. Lecture Notes in Networks and Systems, vol 417. Springer, Cham. https://doi.org/10.1007/978-3-030-96302-6_57
P. Sobha Xavier, J. Joshy, M. R. Thayil, M. Nandalal and R. Xavier, "A Web Application for Enhancing Stray Dog Welfare: Identification and Virus Detection," 2023 9th International Conference on Smart Computing and Communications (ICSCC), Kochi, Kerala, India, 2023, pp. 419-423, doi: 10.1109/ICSCC59169.2023.10335055.
P., S. X., K., S. P. & G., R. (2024). Enhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity Analysis. Journal of Computer Science, 20(5), 585-593. https://doi.org/10.3844/jcssp.2024.585.593
Xavier P, S., P. K., S., & Raju G. (2024). Post-Operative Brain MRI Resection Cavity Segmentation Model and Follow-Up Treatment Assistance. International Journal of Online and Biomedical Engineering (iJOE), 20(05), pp. 133–149. https://doi.org/10.3991/ijoe.v20i05.45609
Xavier P, S., Sathish P K, & Raju G. (2024). Advancing Brain Tumor Segmentation in MRI Scans: Hybrid Attention-Residual UNET with Transformer Blocks. International Journal of Online and Biomedical Engineering (iJOE), 20(06), pp. 103–115. https://doi.org/10.3991/ijoe.v20i06.46979

Conferences / Workshop / FDPs Attended


Workshop on Data Analytics & AI organized by Centre for Computer Science and Information Technology (CCSIT), Manjeri, University of Calicut
Data Analytics and Machine Learning, STTP , Department of Computer Science, Amal Jyothi Engineering College
AICTE sponsored six days online Short Term Training Programme on Emerging Trends in Cryptography and its Applications in CYBER SECURIT Y organized by the Department of Computer Science and Engineering