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Faculty Dr Surochita Pal

Dr Surochita Pal

Assistant Professor

Department of Computer Science and Engineering

Contact Details

surochita.p@srmap.edu.in

Office Location

Homi J Bhabha Block, Level 6, Cubicle No: 14
School of Engineering and Sciences Computer Science and Engineering Faculty Dr Surochita Pal

Faculty Information

Education

2025
PhD
Indian Statistical Institute, West Bengal
India
2017
M.Sc.
Calcutta University, West Bengal
India
2014
B.Sc.
Calcutta University, Thakurpukur Vivekananda College, West Bengal
India

Personal Website

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

    Dr Surochita Pal, Sushmita Mitra, B Uma Shankar

    Source Title: Expert Systems with Applications, Quartile: Q1

  • Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer

    Dr Surochita Pal, Sushmita Mitra

    Source Title: 15th International Conference on Computing Communication and Networking Technologies (ICCCNT),

  • A Comparative Analysis of Deep Learning Architectures for Segmentation in Lung

    Dr Surochita Pal, Sushmita Mitra

    Source Title: IEEE Region 10 Symposium (TENSYMP),

  • Weighted Deformable Network for Efficient Segmentation of Lung Tumors in CT

    Dr Surochita Pal, Sushmita Mitra, B Uma Shankar

    Source Title: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Quartile: Q1

  • Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye

    Dr Surochita Pal, Shramana Dey, Pallabi Dutta, Riddhasree Bhattacharyya, Sushmita Mitra, Rajiv Raman

    Source Title: International Conference on Pattern Recognition,

  • A Deployment Framework for Ensuring Business Compliance Using Goal Models

    Dr Surochita Pal, Novarun Deb, Mandira Roy, Ankita Bhaumick, Nabendu Chaki

    Source Title: Transactions on Computational Science XXXV: Special Issue on Signal Processing and Security in Distributed Systems,

Patents

  • EFFICIENT SEGMENTATION OF TUMOURS FROM LUNG CT

    Dr Surochita Pal

    Patent Application No: 202331054137, Date Filed: 11/08/2023, Date Published: 08/12/2023, Status: Granted

  • DETECTION OF LUNG DISEASES WITH MULTIMODAL IMAGING

    Dr Surochita Pal

    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.

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Recent Updates

No recent updates found.

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

    Dr Surochita Pal, Sushmita Mitra, B Uma Shankar

    Source Title: Expert Systems with Applications, Quartile: Q1

  • Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer

    Dr Surochita Pal, Sushmita Mitra

    Source Title: 15th International Conference on Computing Communication and Networking Technologies (ICCCNT),

  • A Comparative Analysis of Deep Learning Architectures for Segmentation in Lung

    Dr Surochita Pal, Sushmita Mitra

    Source Title: IEEE Region 10 Symposium (TENSYMP),

  • Weighted Deformable Network for Efficient Segmentation of Lung Tumors in CT

    Dr Surochita Pal, Sushmita Mitra, B Uma Shankar

    Source Title: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Quartile: Q1

  • Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye

    Dr Surochita Pal, Shramana Dey, Pallabi Dutta, Riddhasree Bhattacharyya, Sushmita Mitra, Rajiv Raman

    Source Title: International Conference on Pattern Recognition,

  • A Deployment Framework for Ensuring Business Compliance Using Goal Models

    Dr Surochita Pal, Novarun Deb, Mandira Roy, Ankita Bhaumick, Nabendu Chaki

    Source Title: Transactions on Computational Science XXXV: Special Issue on Signal Processing and Security in Distributed Systems,

Contact Details

surochita.p@srmap.edu.in

Scholars
Interests

  • Computer Vision
  • Deep Learning
  • Multimodal Data Fusion
  • Vision–Language Models

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

    Dr Surochita Pal, Sushmita Mitra, B Uma Shankar

    Source Title: Expert Systems with Applications, Quartile: Q1

  • Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer

    Dr Surochita Pal, Sushmita Mitra

    Source Title: 15th International Conference on Computing Communication and Networking Technologies (ICCCNT),

  • A Comparative Analysis of Deep Learning Architectures for Segmentation in Lung

    Dr Surochita Pal, Sushmita Mitra

    Source Title: IEEE Region 10 Symposium (TENSYMP),

  • Weighted Deformable Network for Efficient Segmentation of Lung Tumors in CT

    Dr Surochita Pal, Sushmita Mitra, B Uma Shankar

    Source Title: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Quartile: Q1

  • Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye

    Dr Surochita Pal, Shramana Dey, Pallabi Dutta, Riddhasree Bhattacharyya, Sushmita Mitra, Rajiv Raman

    Source Title: International Conference on Pattern Recognition,

  • A Deployment Framework for Ensuring Business Compliance Using Goal Models

    Dr Surochita Pal, Novarun Deb, Mandira Roy, Ankita Bhaumick, Nabendu Chaki

    Source Title: Transactions on Computational Science XXXV: Special Issue on Signal Processing and Security in Distributed Systems,

Contact Details

surochita.p@srmap.edu.in

Scholars