Hina Raja

Assistant Professor
Department of Mathematics and Computer Science
hraja@fisk.edu

Education：

  • Ph.D in Computer Engineering, National University of Science and Technology  (NUST), Islamabad, Pakistan (2021)

 

Research Interests: Artificial Intelligence, Machine Learning, Deep Learning, Medical Imaging, Biomedical AI, Ophthalmic Imaging, Optical Coherence Tomography (OCT), Retinal Fundus Imaging, Large Language Models (LLMs), Vision-Language Models, Electronic Health Records (EHR), Computer Vision and fMRI Analysis.

Brief Biosketch: Dr. Hina Raja is an Assistant Professor in the Department of Mathematics and Computer Science at Fisk University in Nashville, Tennessee. Her research focuses on artificial intelligence, machine learning, deep learning, and medical imaging, with particular emphasis on developing AI-based approaches for ophthalmic and biomedical applications. She earned her Ph.D. and M.S. degrees in Computer Engineering from the NUST College of Electrical and Mechanical Engineering in Pakistan. Before joining Fisk University in August 2024, Dr. Raja served as a Postdoctoral Scholar at the University of Tennessee Health Science Center (UTHSC), where she conducted research involving machine learning, deep learning, large language models, optical coherence tomography, retinal fundus imaging, and electronic health records for disease detection. Her experience also includes teaching at the undergraduate and graduate levels and contributing to curriculum development and quality assurance activities.

Selected Publications:

  1. M. Delsoz, Hina Raja, Z. Hussain, Mohammadzadeh, et al. Association between glaucoma and mental health disorders by race and ethnicity based on a large national database (Investigative Ophthalmology & Visual Science, 65(7), 2441-2441, 2024)
  2. Hina Raja, Xiaoqin Huang, Mohammad Delsoz, et al. Diagnosing Glaucoma Based on the Ocular Hypertension Treatment Study Dataset Using ChatGPT as a Large Language Model. (Ophthalmology Science, 2024, 100599)
  3. Hina Raja, A. Munawar, N. Mylonas et al. Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study. (JMIR Formative Research, 8(1), 2024: e52462. doi.org/10.2196/52462)
  4. Hassan B, Hina Raja*, Hassan T, Akram MU, Raja H, Abd-alrazaq AA, Yousefi S, Werghi N. A comprehensive review of artificial intelligence models for screening major retinal diseases. (Artificial Intelligence Review, 57(5), 111, 2024) (* co-first author)
  5. M. Delsoz, Y. Madadi, Hina Raja, Wuqaas M. Munir, Brendan Tamm et al. Performance of ChatGPT in diagnosis of corneal eye diseases. (Cornea, 43(5), 664-670, 2024, doi: 10.1097/ICO.0000000000003492.)
  6. M. Delsoz, Hina Raja et al. The Use of ChatGPT to Assist in Diagnosing Glaucoma Based on Clinical Case Reports. (Ophthalmology and Therapy, 2023, doi.org/10.1007/s40123-023-00805-x)
  7. Hina Raja, M. Akram, T. Hassan et al. Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies. (IETE Journal of Research, 69(11), 7958-7978. 2023, doi.org/10.1080/03772063.2022.2043783)
  8. Hina Raja, M. Akram, A. Shaukat et al. Extraction of retinal layers through convolution neural network (CNN) in an OCT image for glaucoma diagnosis. (Journal of Digital Imaging, 33(6):1428–1442, 2020, doi: 10.1007/s10278-020-00383-5)
  9. Hina Raja, T. Hassan, M. Akram, and N. Werghi. Clinically verified hybrid deep learning system for retinal ganglion cells aware grading of glaucomatous progression. (IEEE Transactions on Biomedical Engineering, pages 1–1, 2020, doi: 10.1109/tbme.2020.3030085)
  10. Hina Raja, M. Akram, Sajid G Khawaja et al. Data on OCT and fundus images for the detection of glaucoma. (Data in Brief; 29:105342, 2020, doi: 10.1016/j.dib.2020.105342)
  11. Tehmina Khalil, M. Akram, Hina Raja et al. Detection of Glaucoma Using Cup to Disc Ratio from Spectral Domain Optical Coherence Tomography Images. (IEEE Access, vol. 6, pp. 4560-2576, 2018)
  12. X. Huang, Hina Raja et al. “Predicting glaucoma before onset using a large language model chatbot.” (American Journal of Ophthalmology, 2024).
  13. T. Hassan, Hina Raja et al. “A Vision Language Correlation Framework for Screening Disabled Retina.” (IEEE Journal of Biomedical and Health Informatics, 2024).