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Department of Computer Science and Engineering, Jadavpur University
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Susmita Ghosh

Website

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Address

susmitaghoshju@gmail.com; susmita.ghoshde@jadavpuruniversity.in

Alternative Email Addresss.

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Field of Specialization

Automated Systems, Computational Intelligence, Pattern Recognition and Machine Learning, Data Science and Big Data Analysis, Image and Video Analysis, Bioinformatics, Momentum Distillation, Self-Supervised Learning
Susmita Ghosh
Professor
M-Tech (IIT Bombay), PhD (Jadavpur University)
Member, IEEE; Chair - IEEE GRSS Kolkata Chapter (Since January 2025- till date and January 2021- December 2022), Vice Chair- IEEE GRSS Kolkata Chapter (January 2019-December 2020)
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https://scholar.google.com/citations?user=tOhcAisAAAAJ&hl=en
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I am engaged in research in the areas of automated systems, computational intelligence, pattern recognition and machine learning, data science and big data analysis, image and video analysis, and bioinformatics. Over the years, I have been honored with several prestigious fellowships and awards, including the LEAP (MHRD), CIMPA-UNESCO, EU Erasmus fellowships, and collaborations under Indo-US, ASEAN-India, and NSF-TIH initiatives. I have successfully led and contributed to numerous national and international funded projects supported by agencies such as DST, MeitY, NSF, EU, and others. My work involves active collaboration with leading universities and research centers across the USA, Europe, and Asia. I have had the privilege of delivering invited lectures, keynote talks, and participating in academic programs at various reputed international and national forums, contributing to the advancement of AI, machine learning, and remote sensing.

M-Tech
1994
IIT Bombay
PhD
Jadavpur University
Jadavpur University
Professor
June 30, 2010 - till date
No record Found
No record Found

Publication

# Publication
1 Chatterjee, A. and Ghosh, S. and Ghosh, A., Adaptive Attention-Guided Masking in Vision Transformers for Self-Supervised Hyperspectral Feature Learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), 2025, https://doi.org/NA
2 Chatterjee, A. and Ghosh, S. and Ghosh, A., Hyperspectral image classification using patch-based attention and restricted isometric regularization, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025), 2025, https://doi.org/https://2025.ieeeigarss.org/tempdev/view_paper.php?PaperNum
3 Chatterjee, A. and Ghosh, S. and Ghosh, A., Geometric-harmonic mean based late fusion ensemble for improved weather image classification, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025), 2025, https://doi.org/https://www.2025.ieeeigarss.org/view_paper.php?PaperNum
4 Chatterjee, A. and Ghosh, S. and Ghosh, A., Cross-instance contrastive masking in vision transformers for self-supervised hyperspectral image classification, Workshop on Spurious Correlation and Shortcut Learning, International Conference on Learning Representations (ICLR 2025), 2025, https://doi.org/https://openreview.net/pdf?id
5 Ghosh, S. and Chatterjee, A. and Fiondella, L., An active learning framework for adversarial training of deep neural networks, Neural Computing and Applications, 2025, https://doi.org/10.1007/s00521-024-10851-6
6 Chatterjee, A and Ghosh, S and Ghosh, A, Context-aware masking and learnable diffusion-guided patch refinement in transformers via sparse supervision for hyperspectral image classification, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, https://doi.org/Preprint Soon
7 Chatterjee, A and Ghosh, S and Ghosh, A, Efficient fine-tuning of large vision model for cross-scene spectral generalization, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCV), 2025, https://doi.org/DOI Soon
8 Chatterjee, A. and Ghosh, S. and Ghosh, A., GlowNet: A lightweight attention-based self-guided deep neural network for low-light image enhancement, British Machine Vision Conference (BMVC 2024), DIFA Workshop, 2024, https://doi.org/https://bmva-archive.org.uk/bmvc/2024/workshops/DIFA/paper1.pdf
9 Chatterjee, A. and Ghosh, S. and Ghosh, A. and Ientilucci, E., Urbanscape-Net: A spatial and self-attention guided deep neural network with multi-scale feature extraction for urban land-use classification, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), 2024, https://doi.org/10.1109/IGARSS47720.2024.10640965
10 R. Roy and S. Ghosh and A. Ghosh, Clinical Ultrasound Image Standardization using Histogram Specification, Computers in Biology and Medicine, 2020, https://doi.org/10.1016/j.compbiomed.2020.103746
11 R. Roy and S. Ghosh and A. Ghosh, Speckle De-noising of Clinical Ultrasound Images based on Fuzzy Spel Conformity in its Adjacency, Applied Soft Computing, 2018, https://doi.org/10.1016/j.asoc.2018.08.014
12 A. Mondal and S. Ghosh and A. Ghosh, Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour, International Journal of Computer Vision, 2017, https://doi.org/10.1007/s11263-016-0959-5
13 B. N. Subudhi and S. Ghosh and A. Ghosh, Integration of Fuzzy Markov Random Field and Local Information for Separation of Moving Objects and Shadow, Information Sciences, 2016, https://doi.org/10.1016/j.ins.2015.10.031
14 B. N. Subudhi and S. Ghosh and S. C. K. Shiu and A. Ghosh, Statistical Feature Bag Based Background Subtraction for Local Change Detection, Information Sciences, 2016, https://doi.org/10.1016/j.ins.2016.04.049
15 A. Mondal and S. Ghosh and A. Ghosh, Robust Global and Local Fuzzy Energy based Active Contour for Image Segmentation, Applied Soft Computing, 2016, https://doi.org/10.1016/j.asoc.2016.05.026
16 M. Roy and S. Ghosh and A. Ghosh, A Novel Approach for Change Detection of Remotely Sensed Images using Semi-supervised Multiple Classifier System, Information Sciences, 2014, https://doi.org/10.1016/j.ins.2014.01.037
17 A. Halder and S. Ghosh and A. Ghosh, Aggregation Pheromone Metaphor for Semi-supervised Classification, Pattern Recognition, 2013, https://doi.org/10.1016/j.patcog.2013.01.002
18 A. Ghosh and B. N. Subudhi and S. Ghosh, Object Detection from Videos Captured by Moving Camera by Fuzzy Edge Incorporated Markov Random Field and Local Histogram Matching, IEEE Transactions on Circuits and Systems for Video Technology, 2012, https://doi.org/10.1109/TCSVT.2012.2190476
19 A. Ghosh and N. S. Mishra and S. Ghosh, Fuzzy Clustering Algorithms for Unsupervised Change Detection in Remote Sensing Images, Information Sciences, 2011, https://doi.org/10.1016/j.ins.2010.10.016
20 S. Ghosh and L. Bruzzone and S. Patra and F. Bovolo and A. Ghosh, A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks, IEEE Transactions on Geoscience and Remote Sensing, 2007, https://doi.org/10.1109/TGRS.2006.888861
Abhiroop Chatterjee
Developing Advanced Deep Learning Techniques for Image Processing Tasks
Ongoing
Ph.D
2024-till date
Abhishek Dey
Remote Sensing and Machine Learning
Ongoing
Ph.D
2022-till date
Debayan Goswami
Machine Learning based Healthcare Recommendation
Ongoing
Ph.D
2020-till date
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Availed Dr. K. S. Krishnan Fellowship as a Senior Research Fellow; awarded by the Department of Atomic Energy
Fellowship from European Union (India4EUII) for pursuing research activities during July – August, 2014
Selected by the Council of Scientific and Industrial Research as a Senior Research Fellow in 1993
Selected and participated in Leadership for Academicians Program (LEAP) for MHRD held at IIT Kharagpur (11-22 November, 2019) and IFM Cambridge University (6-10 January, 2020)
BMVC 2024 Outstanding Reviewer
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