Calcutta University, Thakurpukur Vivekananda College
India
Experience
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
Research Interest
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.
Awards
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)
Memberships
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.
Publications
Collective intelligent strategy for improved segmentation of COVID-19 from CT
Patent Application No: 202331070180 A, Date Filed: 16/10/2023, Date Published: 29/12/2023, Status: Published
Projects
Scholars
Interests
Computer Vision
Deep Learning
Multimodal Data Fusion
Vision–Language Models
Thought Leaderships
There are no Thought Leaderships associated with this faculty.
Top Achievements
Research Area
No research areas found for this faculty.
Education
2014
B.Sc.
Calcutta University, Thakurpukur Vivekananda College
India
2017
M.Sc.
Calcutta University
India
2025
PhD
Indian Statistical Institute
India
Experience
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
Research Interests
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.
Awards & Fellowships
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)
Memberships
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.
Publications
Collective intelligent strategy for improved segmentation of COVID-19 from CT
Calcutta University, Thakurpukur Vivekananda College
India
2017
M.Sc.
Calcutta University
India
2025
PhD
Indian Statistical Institute
India
Experience
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
Research Interests
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.
Awards & Fellowships
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)
Memberships
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.
Publications
Collective intelligent strategy for improved segmentation of COVID-19 from CT
