| Specialization: |
|---|
| Computer Science and Technology |
| Exam | Board | Year | Grade/Percentage | Institute |
| AISSCE | CBSE | 2010 | 9.8 CGPA | Budding Buds Sr. Sec School, Tinsukia |
| AISSE | CBSE | 2012 | 86.2% | Tinsukia English Academy, Tinsukia |
| Bsc Maths Hons | Gauhati University | 2015 | 6 CGPA | Cotton College, Guwahati |
| Master of Computer Applications (MCA) | Dibrugarh Univesity | 2018 | 8.77 CGPA | Dibrugarh University |
I have worked as a Teaching Assistant in the Department of Computer Science and Engineering, Tezpur University (July 2019 - Dec 2023)
My Research Publications:
Journal:
1. N. Jitani, B. Singha, G. Barman, A. Talukdar, R. Sarmah, D. K. Bhattacharyya. `Medical image segmentation using automated rough density approach'. In Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-16921-6. Accepted: 11 September 2023. (IF: 3.7)
Book Chapter:
1. Jitani, N., Singha, B., Barman, G., Talukdar, A., Choudhury, B. K., Sarmah, R., & Bhattacharyya, D. K. (2022). `Gallbladder CT Image Segmentation by Integrating Rough Entropy Thresholding with Contours'. In Advanced Computational Paradigms and Hybrid Intelligent Computing: Proceedings of ICACCP 2021 (pp. 651-659). Springer Singapore.
2. Jitani, Nitya, Anup Basumatary, and Rosy Sarmah. `Deep Learning-Based Tumor Segmentation from CT Images'. International Conference on Advanced Computational and Communication Paradigms. Singapore: Springer Nature Singapore, 2023.
3. Nitya Jitani, Vivek Kumar Verma, and Rosy Sarmah. `EnRaFS: An Ensemble Ranking-based Feature Selection Approach for Grading Gallbladder Cancer using Radiomic Analysis'. Innovations in Electrical and Electronic Engineering: Proceedings of ICEEE 2023, Volume 1, 2023.
SLET 2019 and GATE 2019 Qualified.