Khondker Fariha Hossain

Khondker Fariha Hossain

PhD Candidate,
Department of Computer Science & Engineering,
University of Nevada, Reno

I am a Doctoral Candidate in Computer Science at the University of Nevada, Reno, working under the supervision of Dr. Alireza Tavakkoli. My research is rooted in advancing AI-driven healthcare technologies, with expertise in computer vision, multimodal imaging, generative models, and knowledge distillation. Currently, I am expanding my work to incorporate language-vision models (LVMs), bridging the gap between visual and textual data to enhance diagnostic workflows in medical applications.

Prior to my Ph.D., I earned an M.S. in Data Science from Deakin University, where I conducted research on Generative Adversarial Networks for ECG time-series data. I have a strong record of first-author publications in prestigious venues like MICCAI and am deeply committed to mentoring students at all academic levels, inspiring innovation in machine learning and healthcare technologies.

Research

My research focuses on the intersection of computer vision and medical imaging, aiming to develop cutting-edge AI solutions that improve the affordability, accessibility, and accuracy of global healthcare. Key areas of interest include:

  • Multimodal Medical Imaging: Integrating diverse imaging modalities like MRI, CT, and Ultrasound to achieve holistic diagnostic insights.
  • Knowledge Distillation: Designing lightweight, efficient models for resource-constrained environments without compromising performance.
  • Generative Models: Leveraging advanced architectures for synthetic data generation and augmentation in the medical domain.
  • Language-Vision Models (LVMs): Exploring multimodal AI frameworks to align visual and textual data for enhanced interpretability and decision-making.

My work is driven by the vision of democratizing advanced healthcare technologies and includes mentorship roles in research programs like the Army Educational Outreach Program (AEOP), where I guide aspiring researchers in machine learning and healthcare innovations.

Recent updates

  • Septembar 12, 2023. Awarded with Doctoral Research in Innovation, Vision and Excellence Nevada Drive Scholar for 2023-2024.
  • May 24, 2023. Paper accepted to MICCAI 2023.
  • January 22, 2023. One paper accepted to IEEE ISBI 2023.
  • In December 2022, I completed my Masters in Computer Science & Engineering from University of Nevada, Reno. My master thesis was on Detecting and Mitigating Adversarial Attack.