December '23: Pal, Shankho Subhra, Ankita Chatterjee, Jayanta Mukhopadhyay, Sudeshna Sarkar, and Partha Pratim Das. "Fine-grain Cluster Estimation of Land Cover Classes using Landsat 8 Multispectral images." In Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing, pp. 1-9. 2023. 

July '23: Chatterjee, Ankita, Jayanta Mukherjee, and Partha Pratim Das. "ImageNet Classification using WordNet Hierarchy." IEEE Transactions on Artificial Intelligence (2023). 

July '23: Chatterjee, Ankita, Shankho Subhra Pal, Jayanta Mukhopadhyay, Partha Pratim Das, and Sudeshna Sarkar. "Estimating Cluster numbers in Landsat-8 images using Stability Analysis." In 2023 International Symposium on Signals, Circuits and Systems (ISSCS), pp. 1-4. IEEE, 2023.  

October '22: Sadhukhan, Ranajoy, Ankita Chatterjee, Jayanta Mukhopadhyay, and Amit Patra. "Taxonomy Driven Learning Of Semantic Hierarchy Of Classes." In 2022 IEEE International Conference on Image Processing (ICIP), pp. 171-175. IEEE, 2022. 

February '22: Chatterjee, Ankita, Jayasree Saha, and Jayanta Mukherjee. "Clustering with multi-layered perceptron." Pattern Recognition Letters 155 (2022): 92-99.

July '21: Chatterjee, Ankita, Jayanta Mukhopadhyay, Subhas Aikat, and Arundhati Misra. "Building Cluster-Class Association for Detecting paddy fields under Semi-Supervised deep learning framework." In 2021 International Symposium on Signals, Circuits and Systems (ISSCS), pp. 1-4. IEEE, 2021. 

December '20: Chatterjee, Ankita, Jayanta Mukherjee, Subhas Aikat, and Arundhati Misra. "Semi-supervised classification of paddy fields from dual polarized synthetic aperture radar (sar) images using deep learning." International Journal of Remote Sensing 42, no. 5 (2021): 1867-1892.

September '20: Chatterjee, Ankita, Jayasree Saha, Jayanta Mukhopadhyay, Subhas Aikat, and Arundhati Misra. "Unsupervised Land Cover Classification of Hybrid Polsar Images Using Deep Network." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 1719-1722. IEEE, 2020. 

May '20: Chatterjee, Ankita, Jayasree Saha, Jayanta Mukherjee, Subhas Aikat, and Arundhati Misra. "Unsupervised land cover classification of hybrid and dual-polarized images using deep convolutional neural network." IEEE Geoscience and Remote Sensing Letters 18, no. 6 (2020): 969-973. 

June '20 - June, '21: Predicting Treatment Response of Lung Cancers Following Curative Chemo-Radiation using Serial Image Analysis.

Description: My main contribution to the project was to build an automated lung tumor segmentation algorithm which could be generalized for all patients. The algorithm should not be highly data dependent and must be able to delineate the tumor with sufficient accuracy using CBCT images.

April '18 - March '20: Polarimetric  analysis of SAR images for Segmentation, Classification and Recognition of Objects.

Description:  My MS research was directed to their sponsored project and the new deep learning architectures developed were utilized by ISRO. These methods dealt with unsupervised and semi-supervised techniques for land cover classification and detection of paddy fields.

July '16 - August '16: Development of Read-out module for High Resolution Encoder. 

Description:  The project was a part of my internship in collaboration with Variable Energy Cyclotron Centre (VECC), Department of Atomic Energy (DAE). We worked in a team of two along with a supervisor to guide us. We developed a read-out module for high resolution encoder using Proteus 8 and programmed it in C. This module has been installed in the cyclotron once it was programmed.