- Deep Learning and Computer Vision
- Multimodal Data Fusion
- Vision–Language Models
Experience top of the world living and learning at SRM University-AP
+91-863-2343000
080-6988-6999 (admissions)
Email: admissions@srmap.edu.in
SRM University-AP, Neerukonda,
Mangalagiri Mandal, Guntur District, Andhra Pradesh - 522240
- November, 2024 to June, 2025 – Visiting Scientist – Indian Statistical Institute, Kolkata.
- September, 2023 to September, 2024 – Project Linked Person – J. C. Bose National Fellowship, Indian Statistical Institute, Kolkata.
- September, 2022 to August, 2023 – Project Linked Senior Research Fellow – Department of Science and Technology (DST), Indian Statistical Institute, Kolkata.
- August 2019 to July, 2024 – Senior Research Fellow (SRF) – Indian Statistical Institute, Kolkata
- August 2017 to July, 2019 – Junior Research Fellow (JRF) – Indian Statistical Institute, Kolkata
- Computer Vision and Deep Learning focuses on creating and using deep neural networks for tasks like semantic segmentation, object detection, and image classification. Convolutional and transformer-based model experiments, training optimization on high-dimensional image data, and resolving issues with data efficiency and generalization are all part of the work.
- Fusion of Multimodal Data involves integrating data from various sources, including text, images, and tabular data, in order to enhance inference and learning. Methods include attention-based fusion, joint representation learning, and methods for managing missing data and modality-specific features.
- Language-Vision Models focuses on developing joint representations of textual and visual information to facilitate tasks such as cross-modal retrieval, visual question answering, and image captioning. In addition to techniques for aligning image regions with textual concepts, research investigates encoder-decoder and dual-encoder architectures.
- 2017 – Qualified in GATE
- 2017 – Junior Research Fellowship – Indian Statistical Institute
- 2019 – Senior Research Fellowship – Indian Statistical Institute
- 2022 – Senior Research Fellowship – Department of Science and Technology (DST)
- Reviewer of IEEE Transactions on Fuzzy Systems, IEEE Transactions on Computational Biology and Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Computer Methods and Programs in Biomedicine, Biomedical Signal Processing and Control, Neural Networks, Information Sciences, Sadhana, WIREs Data Mining and Knowledge Discovery.
Journal Publications
- Collective intelligent strategy for improved segmentation of COVID-19 from CT - S. Pal, S. Mitra, and B. U. Shankar. Expert Systems with Applications, 235, 121099 (2024) (Q1, IF 7.5(2025)). DOI: 10.1016/j.eswa.2023.121099.
- Weighted deformable network for efficient segmentation of lung tumors in CT - S. Pal, S. Mitra, and B. U. Shankar. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55(2), 898-909 (2024) (Q1, IF 8.7(2025)). DOI: 10.1109/TSMC.2024.3489029.
Patent Granted
- Efficient segmentation of tumours from lung CT - S. Mitra, S. Pal Das, and B. U. Shankar. Indian Patent No. 558671, Jan. 24, 2025.
Book Chapters
- A deployment framework for ensuring business compliance using goal models - N. Deb, M. Roy, S. Pal, A. Bhaumick, and N. Chaki. Transactions on Computational Science XXXV: Special Issue on Signal Processing and Security in Distributed Systems, Springer, 106–118(2020). DOI: 10.1007/978-3-662-61092-3_6.
- Extracting business compliant finite state models from i∗ models - N. Deb, N. Chaki, M. Roy, S. Pal, and A. Bhaumick. Advanced Computing and Systems for Security: Volume Nine, Springer, 39–52(2019). DOI: 10.1007/978-981-13-8962-7_4.
Selected Conference Papers
- Adaptive class learning to screen diabetic disorders in fundus images of eye - S. Dey, P. Dutta, R. Bhattacharyya, S. Pal, S. Mitra, and R. Raman. International Conference on Pattern Recognition (ICPR), Springer,124–137(2024). DOI: 10.1007/978-3-031-78104-9_9.
- A comparative analysis of deep learning architectures for segmentation in lung - S. Pal and S. Mitra. Proceedings of the IEEE Region 10 Symposium (TENSYMP), 1–6(2024). DOI: 10.1109/TENSYMP61132.2024.10751813.
- Deep ensembling with multimodal image fusion for efficient classification of lung cancer - S. Pal and S. Mitra. Proceedings of the 15th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT), 1-7(2024). DOI: 10.1109/ICCCNT61001.2024.10726043.
E-mail id: surochita.p@srmap.edu.in