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Department of Computer Science and Engineering, Jadavpur University
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Susmita Ghosh

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Address

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

Alternative Email Addresss.

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Field of Specialization

Deep Learning, Machine Learning, Adversarial Defense, Video Understanding and Analysis, Generative Modeling, Active Sampling, Knowledge Distillation, Transferable Neural Architectures, Uncertainty-Aware Deep Inference, Image Restoration, Momentum Distillation, Self-Supervised Learning, Contrastive Pre-training, Vision Language Modeling (VLM), Large Language Modeling (LLM), Contrastive Alignment, Prompt Engineering, Single Step Diffusions, Multimodal Reasoning, Compositional Image Retrieval, Automated Systems, Computational Intelligence, Pattern Recognition and Machine Learning, Data Science and Big Data Analysis, Image and Video Analysis, Bioinformatics
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), Country/Region Governor 2026-2027 (India) for Asia Pacific Neural Network Society. BMVC (British Machine Vision Association), CVF (Computer Vision Foundation)

Acting/acted as a Technical/Programme/Advisory Committee Member/ Track Chair/ Session Chair/ Publicity Chair/ Panelist of many national and international conferences including InGARSS 2025 (Program Chair), DLAI5, IAIT 2018 (Publicity Chair), IAIT 2020, IAIT 2021, JSCI 2021, CoDS-COMAD, IAIT, MIKE, ICIT, PReMI, ICIP, ICVGIP, ICACCI, AMOC, CODIS, ReTIS, INDICON, NCETIT, DLAI3 (Panelist), InGARSS 2021, CVIP 2021.
https://orcid.org/0000-0002-1691-761X
https://scholar.google.com/citations?user=tOhcAisAAAAJ&hl=en
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I am a Full Professor in the Department of Computer Science and Engineering at Jadavpur University, Kolkata, with over 32 years of research experience in computer vision, pattern recognition, image and video analysis, computational intelligence, and trustworthy AI. My academic journey has been guided by a sustained commitment to advancing intelligent automated systems and data-driven technologies that generate meaningful societal impact. Over the years, I have authored more than 150 peer-reviewed publications in leading international journals and conferences, including: International Journal of Computer Vision (IJCV), International Conference on Computer Vision (ICCV), IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Applied Soft Computing, Information Sciences, Pattern Recognition, etc. My research spans machine learning, big data analytics, bioinformatics, remote sensing, and AI-driven image and video understanding, with a strong emphasis on trustworthy and interpretable artificial intelligence.



Research Projects & International Collaborations



I have led and contributed to numerous national and international funded projects supported by agencies such as DST, MeitY, NSF, and the European Union. My work involves active interdisciplinary collaborations with distinguished researchers across the USA, Europe, and Asia, including: University of Massachusetts Dartmouth, Harvard Medical School, Rochester Institute of Technology, Nanyang Technological University, University of Trento. Major collaborative initiatives include: NSF–TIH (DST) Program (since 2022), ProjNet Program with GRSS Western New York Chapter (since 2021), Innovative Cognitive Computing (IC²) Research Center, Thailand (since 2020), ASEAN–India Collaborative Research Program (with KMUTT Thailand and NTU Singapore), MeitY Consortium Project on “Development of Application-Oriented AI Systems”, Indo–US Virtual Networked Center on Distributed Deep Learning, SIU (Norway) & UGC collaborative program with University of Stavanger, Erasmus+ Program (EU-funded consortium coordinated by UPM, Spain), Erasmus Mundus (India for EU I & II), India–Trento Programme for Advanced Research (ITPAR), Indo–Italian S&T Cooperation Framework.



Academic Leadership & Professional Service



In addition to research, I actively contribute to academic leadership and professional service such as: Chair, IEEE Geoscience and Remote Sensing Society (GRSS) Kolkata Chapter, Founding Member, IC² Research Center, KMUTT, Associate Editor, Neural Networks, Associate Editor, Engineering Applications of Artificial Intelligence. I regularly serve on program committees and review panels for premier conferences, including: CVPR, ICLR, ICML, NeurIPS. I have received multiple Outstanding Reviewer Awards, including recognition at BMVC 2024 and 2025. I am currently nominated as the Country/Region Governor (India) for 2026–2027 by the Asia Pacific Neural Network Society. Throughout my career, I have been honored with prestigious fellowships including: LEAP Fellowship (MHRD), CIMPA–UNESCO Fellowship, European Union Erasmus Fellowship. I regularly deliver keynote addresses and invited lectures at reputed international and national forums.



 



 

Btech
1992
University of Calcutta
Mtech
1994
IIT Bombay
PhD
2004
ISI Kolkata/ Jadavpur University
Jadavpur University
Professor
June 30, 2010 - till date
No record Found
Machine Learning, Artificial Intelligence, Bioinformatics, Microprocessors, Computer Graphics, Introduction to Computer Practice, Computer Programming, Numerical Methods & Computer Programming
Deep Learning and Generative AI, Machine Learning, Soft Computing, Artificial Intelligence & Applications, Computer Graphics and CAD, Programming Languages, Introduction to Computer Programming, Computer Graphics, Cognitive Computing

Publication

# Publication
1 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
2 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
3 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
4 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
5 Ghosh, S. and Chatterjee, A., Self-Attention Driven Transfer Learnt Deep Neural Network for Improved Lung Cancer Detection from Radiographic Images, Heliyon, 2025, https://doi.org/10.1016/j.heliyon.2025.e44066
6 Faddi, Z. and da Mata, K. and Silva, P. and Nagaraju, V. and Ghosh, S. and Kul, G. and Fiondella, L., Quantitative Assessment of Machine Learning Reliability and Resilience, Risk Analysis, 2025, https://doi.org/10.1111/risa.14666
7 Datta, A. and Niranjan, G. and Ghosh, S. and Ghosh, A., Optimizing Hyperspectral Image Classification: Biogeography-Based Band Selection and CNN Analysis, Computational Intelligence-Based Hyperspectral Image Processing, 2025, https://doi.org/10.1007/978-3-031-83123-2_7
8 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 Workshops (ICCV), 2025, https://doi.org/https://openaccess.thecvf.com/content/ICCV2025W/SEA/html/Chatterjee_Context-Aware_Masking_and_Learnable_Diffusion-Guided_Patch_Refinement_in_Transformers_via_ICCVW_2025_paper.html
9 Chatterjee, A. and Ghosh, S. and Ghosh, A., Neural Collapse Strikes Back: Lightweight Transfer 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/https://cv4dc.github.io/2025/schedule/
10 Chatterjee, A. and Ghosh, S., Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCV), 2025, https://doi.org/https://arxiv.org/abs/2509.22697
11 Chatterjee, A. and Ghosh, S. and Ghosh, A., Adaptive Attention-Guided Masking in Vision Transformers for Self-Supervised Hyperspectral Feature Learning, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR), 2025, https://doi.org/soon
12 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
13 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
14 Jain, N. and Ghosh, S. and Ghosh, A., A Parameter Free Relative Density based Biclustering Method for Identifying Non-linear Feature Relations, Heliyon, 2024, https://doi.org/10.1016/j.heliyon.2024.e34736
15 Roy, R. and Ghosh, S. and Ghosh, A., Speckle Noise Removal: A Local Structure Preserving Approach, SN Computer Science, 2024, https://doi.org/10.1007/s42979-024-02655-1
16 Jain, N. and Ghosh, S. and Ghosh, A., A Novel Feature Selection Method for Regression and its Application for Prediction of Forest Fire, IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2024, https://doi.org/10.1109/InGARSS61818.2024.10984044
17 Chakraborty, D. and Goswami, D. and Ghosh, S. and Ghosh, A. and Chan, J. H. and Wang, L., Transfer-Recursive-Ensemble Learning for Multi-day COVID-19 Prediction in India Using Recurrent Neural Networks, Scientific Reports, 2023, https://doi.org/10.1038/s41598-023-31737-y
18 Panigrahi, S. and Nanda, B. S. and Bhuyan, R. and Kumar, K. and Ghosh, S. and Swarnkar, T., Classifying Histopathological Images of Oral Squamous Cell Carcinoma using Deep Transfer Learning, Heliyon, 2023, https://doi.org/10.1016/j.heliyon.2023.e13444
19 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
20 Somehsaraei, H. N. and Ghosh, S. and Maity, S. and Pramanik, P. and De, S. and Assadi, M., Automated Data Filtering Approach for ANN Modeling of Distributed Energy Systems: Exploring the Application of Machine Learning, Energies, 2020, https://doi.org/10.3390/en13143750
21 Datta, A. and Ghosh, S. and Ghosh, A., Hyperspectral Remote Sensing Images and Supervised Feature Extraction, Cloud Computing for Geospatial Big Data Analytics, 2019, https://doi.org/10.1007/978-3-030-03359-0_13
22 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
23 Mondal, A. and Ghosh, S. and Ghosh, A., Scaled and Oriented Object Tracking using Ensemble of Multilayer Perceptrons, Applied Soft Computing, 2018, https://doi.org/10.1016/j.asoc.2018.09.028
24 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
25 Datta, A. and Ghosh, S. and Ghosh, A., Supervised Feature Extraction of Hyperspectral Images using Partitioned Maximum Margin Criterion, IEEE Geoscience and Remote Sensing Letters, 2017, https://doi.org/10.1109/LGRS.2016.2628078
26 Datta, A. and Ghosh, S. and Ghosh, A., Unsupervised Band Extraction of Hyperspectral Images using Clustering and Kernel Principal Component Analysis, International Journal of Remote Sensing, 2017, https://doi.org/10.1080/01431161.2016.1271470
27 Subudhi, B. N. and Ghosh, S. and Ghosh, A., Moving Object Detection using Spatio-temporal Multilayer Compound Markov Random Field and Histogram Thresholding based Change Detection, Multimedia Tools and Applications, 2017, https://doi.org/10.1007/s11042-016-3698-2
28 Datta, A. and Ghosh, S. and Ghosh, A., PCA, Kernel PCA and Dimensionality Reduction in Hyperspectral Images, Advances in Principal Component Analysis Research and Development, 2017, https://doi.org/10.1007/978-981-10-6704-4_2
29 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
30 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
31 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
32 Mondal, A. and Ghosh, S. and Ghosh, A., Efficient Silhouette-Based Contour Tracking using Local Information, Soft Computing, 2016, https://doi.org/10.1007/s00500-014-1543-y
33 Roy, M. and Melgani, F. and Ghosh, A. and Blanzieri, E. and Ghosh, S., Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns, IEEE Geoscience and Remote Sensing Letters, 2015, https://doi.org/10.1109/LGRS.2015.2391297
34 Datta, A. and Ghosh, S. and Ghosh, A., Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, https://doi.org/10.1109/JSTARS.2015.2428276
35 Subudhi, B. N. and Ghosh, S. and Ghosh, A., Application of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Detecting Moving Objects from Video Sequences Captured by Static Camera, Soft Computing, 2015, https://doi.org/10.1007/s00500-014-1440-4
36 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
37 Roy, M. and Routray, D. and Ghosh, S. and Ghosh, A., Ensemble of Multilayer Perceptrons for Change Detection in Remotely Sensed Images, IEEE Geoscience and Remote Sensing Letters, 2014, https://doi.org/10.1109/LGRS.2013.2245855
38 Roy, M. and Ghosh, S. and Ghosh, A., A Neural Approach Under Active Learning Mode for Change Detection in Remotely Sensed Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, https://doi.org/10.1109/JSTARS.2013.2293175
39 Ghosh, S. and Roy, M. and Ghosh, A., Semi-supervised Change Detection using Modified Self-organizing Feature Map Neural Network, Applied Soft Computing, 2014, https://doi.org/10.1016/j.asoc.2013.09.010
40 Datta, A. and Ghosh, S. and Ghosh, A., Band Elimination of Hyperspectral Imagery using Partitioned Band Image Correlation and Capacitory Discrimination, International Journal of Remote Sensing, 2014, https://doi.org/10.1080/01431161.2010.507793
41 Ghosh, A. and Mondal, A. and Ghosh, S., Moving Object Detection using Markov Random Field and Distributed Differential Evolution, Applied Soft Computing, 2014, https://doi.org/10.1016/j.asoc.2013.10.021
42 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
43 Roy, M. and Ghosh, S. and Ghosh, A., Change Detection in Remotely Sensed Images using Semi-supervised Clustering Algorithms, International Journal of Knowledge Engineering and Soft Data Paradigms, 2013, https://doi.org/10.1504/IJKESDP.2013.058127
44 Subudhi, B. N. and Ghosh, S. and Ghosh, A., Change Detection for Moving Object Segmentation with Robust Background Construction under Wronskian Framework, Machine Vision and Applications, 2013, https://doi.org/10.1007/s00138-012-0475-8
45 Ghosh, A. and Datta, A. and Ghosh, S., Self-adaptive Differential Evolution for Feature Selection in Hyperspectral Image Data, Applied Soft Computing, 2013, https://doi.org/10.1016/j.asoc.2012.11.042
46 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
47 Mishra, N. S. and Ghosh, S. and Ghosh, A., Fuzzy Clustering Algorithms Incorporating Local Information for Change Detection in Remotely Sensed Images, Applied Soft Computing, 2012, https://doi.org/10.1016/j.asoc.2012.03.024
48 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
49 Halder, A. and Ghosh, A. and Ghosh, S., Supervised and Unsupervised Landuse Map Generation from Remotely Sensed Images using Ant Based Systems, Applied Soft Computing, 2011, https://doi.org/10.1016/j.asoc.2011.02.030
50 Dehuri, S. and Cho, S.-B. and Ghosh, S., Swarm Intelligence and Neural Networks, Integration of Swarm Intelligence and Artificial Neural Network, 2011, https://doi.org/10.1142/9789814280150_0001
51 Ghosh, S. and Kothari, M. and Halder, A. and Ghosh, A., Use of Aggregation Pheromone Density for Image Segmentation, Pattern Recognition Letters, 2009, https://doi.org/10.1016/j.patrec.2009.03.004
52 Ghosh, S. and Patra, S. and Ghosh, A., An Unsupervised Context-sensitive Change Detection Technique Based on Modified Self-organizing Feature Map Neural Network, International Journal of Approximate Reasoning, 2009, https://doi.org/10.1016/j.ijar.2008.01.008
53 Ghosh, A. and Halder, A. and Kothari, M. and Ghosh, S., Aggregation Pheromone Density based Data Clustering, Information Sciences, 2008, https://doi.org/10.1016/j.ins.2008.02.015
54 Dehuri, S. and Ghosh, S. and Ghosh, A., Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008, https://doi.org/10.1007/978-3-540-77467-9_1
55 Ghosh, S. and Patra, S. and Ghosh, A., A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images, Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, 2008, https://doi.org/10.1007/978-3-540-75398-8_11
56 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
57 Ghosh, S. and Ghosh, A. and Pal, S. K., Incorporating Ancestors' Influence in Genetic Algorithms, Applied Intelligence, 2003, https://doi.org/10.1023/A:1020955300403
58 Ghosh, S. and Ghosh, A., Image Ambiguity Optimization for Object Extraction: A Soft Computing Approach, International Journal of Fuzzy Systems, 2002, https://doi.org/N/A
59 De, S. and Ghosh, A. and Pal, S. K., Fitness Evaluation in Genetic Algorithms with Ancestors' Influence, Genetic Algorithms for Pattern Recognition, 1996, https://doi.org/10.1201/9780203713402
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
Rahul Roy
Quantification of Some Cardiovascular Diseases using Image Analysis
Completed
Ph.D
2018-2025
Namita Jain
Non-linear Feature Relationship Indices and Their Applications to Pattern Recognition Problems
Completed
Ph.D
2018-2025
Ajoy Mondal
Online Tracking of Moving Objects from Video Scenes using Classifier
Completed
Ph.D
2018
Aloke Datta
Dimensionality Reduction in Hyperspectral Images
Completed
Ph.D
2018
Moumita Roy
Semisupervised Neural Networks for Change Detection of Remotely Sensed Images
Completed
Ph.D
2015
Badri Narayan Subudhi
On Detection and Tracking of Moving Objects in Video Scenes
Completed
Ph.D
2014
Anindya Halder
Ant Colony Approach for Certain Tasks of Pattern Recognition
Completed
Ph.D
2013
Swarnajyoti Patra
Unsupervised Change Detection of Remotely Sensed Images: A Neural Approach
Completed
Ph.D
2009
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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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