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Faculty Dr Yasir Afaq

Dr Yasir Afaq

Assistant Professor

Department of Computer Science and Engineering

Contact Details

yasir.a@srmap.edu.in

Office Location

Education

2025
PhD
Indian Statistical Institute
India
2017
M.Sc.
Calcutta University
India
2014
B.Sc.
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

Patents

Projects

Scholars

Interests

  • Deep Learning
  • Healthcare/Internet of Medical Things (IoMT)
  • Remote Sensing

Thought Leaderships

Top Achievements

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
Contact Details

yasir.a@srmap.edu.in

Scholars
Interests

  • Deep Learning
  • Healthcare/Internet of Medical Things (IoMT)
  • Remote Sensing

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
Contact Details

yasir.a@srmap.edu.in

Scholars