Scholar
Jillur Rahman Saurav
Google Scholar ID: uhDHcmoAAAAJ
PhD Student and Graduate Research Assistant, Luber Lab at The University of Texas at Arlington
Citations & Impact
Citations
108
H-index
6
i10-index
4
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Bridging mIF and H&E: A GAN-based Approach for Cross-Modality Image Translation in Digital Pathology' (APBJC 2024); 'Spatialvisvr: An Immersive, Multiplexed Medical Image Viewer' (IEEE CIBCB 2024); 'Peptide Sequencing Via Protein Language Models' (ACM-BCB 2024); 'An Augmented Reality Multiplexed Pathology Image Viewer' (IEEE ISBI 2024); 'Histopathology Slide Indexing and Search' (ACM BCB 2024 Highlights Track); 'A SSIM Guided cGAN Architecture' (ACM SIGBio); 'B-ner: A Novel Bangla Named Entity Recognition Dataset' (IEEE Access); 'Real-Time Diagnostic Integrity Meets Efficiency' (IEEE ICASSP 2023); 'A ssim guided cgan architecture for clinically driven generative image synthesis of multiplexed spatial proteomics channels' (IEEE CIBCB 2023); 'Clinically Relevant Latent Space Embedding' (IEEE ISBI 2023).
Research Experience
- Research Assistant, University of Texas at Arlington, 2022 - Present; Software Engineer, pipilika.com, 2017 - 2020.
Education
- PhD in Computer Science, University of Texas at Arlington, 2021 - 2025 (Expected); Advisor: Dr. Jacob Luber. B.Sc. in Computer Science, Shahjalal University of Science & Technology, 2013 - 2018.
Background
- Research interests include multiplexed image generation, LLMs for health informatics, and medical imaging. Focused on AI models using multimodal approaches and large language models to improve cancer diagnostics and explore personalized treatment options.
Miscellany
- Skills: Languages (Python, Java), Machine Learning & AI (PyTorch, TensorFlow, GANs, VAEs, Computer Vision, NLP, Deep Learning), Data Science (Pandas, NumPy, scikit-learn, Data Visualization, Statistical Analysis), Development (Git, Docker, REST APIs, Elasticsearch, Django, Spring Boot), Tools (Linux, Weights & Biases, LaTeX, CUDA, High-Performance Computing).
