Research output per year
Research output per year
Personal profile
Research Focus
Dr. Trishna Barman is currently working as an Engineer at Momentum One Zero, Queen’s University Belfast. She holds a PhD in Image Processing, where her research focused on learning-based super-resolution for remote sensing imagery.
Prior to joining Momentum One Zero, she worked as a Postdoctoral Research Associate at Ulster University, where she contributed to industrial R&D projects under the Smart Manufacturing Data Hub, funded by Innovate UK and Invest NI. Her work primarily involved advancing AI-driven solutions in image processing and computer vision, including industrial inspection, segmentation, vision sensor-based classification, and remote sensing analysis.
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Collaborations and top research areas from the last five years
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Optimizing industrial e-waste recycling with attention-driven deep learning for PCB segmentation using hyperspectral imaging
Barman, T., Coleman, S., Kerr, D., Harrigan, S. & Quinn, J., 14 May 2025, 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability (CIETES): Proceedings. IEEE, 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Link opens in a new tab Citations (Scopus) -
A deep learning-based joint image super-resolution and deblurring framework
Barman, T. & Deka, B., Jun 2024, In: IEEE Transactions on Artificial Intelligence. 5, 6, p. 2691-4581Research output: Contribution to journal › Article › peer-review
8 Link opens in a new tab Citations (Scopus) -
Advancements in industrial visual inspection: harnessing hyperspectral imaging for automated solder quality assessment
Barman, T., Coleman, S., Kerr, D., Harrigan, S. & Quinn, J., 12 Dec 2024, 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN): Proceedings. IEEE, 6 p. (IEEE International Conference on Industrial Informatics (INDIN)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile1 Link opens in a new tab Citation (Scopus)17 Downloads (Pure) -
Attention-based residual network for single image remote sensing super-resolution
Barman, T. & Deka, B., 09 Feb 2023, 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS): Proceedings. IEEE, p. 569-574Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Citation (Scopus) -
Edge-preserving single remote-sensing image super-resolution using sparse representations
Barman, T., Deka, B. & Mullah, H. U., 08 Apr 2023, In: SN Computer Science. 4, 312.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Citations (Scopus)
Prizes
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Gold Medal Winner in National Student Research Convention
Barman, T. (Recipient), 2013
Prize: National/international honour