Biography

Sanjeda Sara Jennifer is a PhD student in Computer Science at UCF AI-AIR lab. Her research interests includes bioinformatics and biomedical AI, especially focusing on the optimization of nanobubble for targeted drug delivery and theraputics. Additionally, she is also working on the microernma and messenger rna for theraputics nd healthcarte AI.. Her research spans ultrasound image augmentation, RNA–mRNA interaction modeling, and medical image analysis, with publications in venues such as the NeurIPS Imageomics Workshop and Heliyon. Before graduate school, she worked as a Software Engineer, AI Engineer and research assistant in Dhaka, Bangladesh.

• Graduate Research Assistant, AI-AIR Lab , University of Central Florida (2025 - Present)

• Software Engineer (Artificial Intelligence), ADN DIGINET , (2023 - 2024)

• Graduate Research Assistant , East West University , (2022 - 2023)

• S. S. Jennifer, F. F. Abir*, L. J. Brattain, N. Yousefi Hybrid Diffusion Model for Ultrasound ImageAugmentation. NeurIPS 2025 Workshop on Imageomics.

• S. S. Jennifer, E. Hossain, R. R. Chowdhury, H. Hu, & N. Yousefi. SeqConnect: A Deep Learning Framework for miRNA–mRNA Interaction Prediction. Submitted to RECOMB 2026.

• Wei, Y., S. S. Jennifer, Omer, N., Ngo, T., Pugazhendhi, D., Aceto, G., Ghattas, J., Adhikary, R., Walck, R.,Yousefi, N., Seal, S., & Coathup, M. New Insights into Bone Toxicity following High Dose Ionizing Radiation Exposure.

• S. S. Jennifer, M. H. Shamim, A. W. Reza, N. Siddique. Sickle cell disease classification using deep learning architectures. Heliyon, 2023. DOI: 10.1016/j.heliyon.2023.e22203

• S. S. Jennifer, S. A. Islam, S. S. Koly, R. A. Tuhin, M. S. H. Khan, M. M. Uddin. Bilinbot: A bilingual chatbot using deep learning. HORA 2023. DOI: 10.1109/HORA58378.2023.10156681

• Machine Learning

• Deep Learning

• Graph Neural Network

• Computer Vision

• Natural Language Processing

• sanjedasara.jennifer@ucf.edu
• 12800 Pegasus Drive, Orlando, FL 32826
• 689.293.2932