معرفی
Trishna Barman is a Research Associate at Ulster University's School of Computing, Engineering and Intelligent Systems, affiliated with the Computer Science Research department. Her work focuses on interdisciplinary applications of artificial intelligence and computer vision in environmental technology, industrial automation, and remote sensing. Her research spans deep learning for hyperspectral imaging, image super-resolution techniques, and biomimetic engineering.
- Education: No specific qualifications listed in the provided text.
Her research interests include developing algorithms for industrial visual inspection (e.g., solder quality assessment), optimizing e-waste recycling through AI-driven PCB segmentation, and enhancing remote sensing data through advanced super-resolution frameworks. She also explores motion-based gesture recognition and biomimetic prosthetics.
Her publications reflect a progression from early work in prosthetic design (2013) to modern applications of deep learning in imaging (2025). Key themes include sparse representation techniques, GPU-accelerated processing, and attention-driven neural networks.
Awards: None explicitly mentioned in the provided text.
Advising & Grants: No student advisement or grant details found. Focus appears centered on technical research and development within her current role.
She is part of the Computer Science Research team at Ulster University's Derry~Londonderry campus, contributing to innovations at the intersection of computing and engineering.
