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Fawad Asadi
Meet
Fawad Asadi

Expertise:

Biomedical Engineering | Electrical Engineering | Computer Science

Pronouns
he/him
Fun Fact
I have a strong passion for sports and enjoy staying active. Additionally, since moving to Thailand five years ago, I’ve developed a daily tradition of enjoying a banana muffin—it's become a staple in my routine!
Courses
  • SEN-103 Programming Multi-module Applications
  • SYS-403 Big Data Computing
  • 18-900/41-900 Research, Entrepreneurship, and Innovation

My journey has been shaped by a deep commitment to advancing education and addressing global health challenges through meaningful, innovative solutions. From an early age, I was drawn to solving real-world problems through creativity and technology—an interest that naturally led me to pursue a degree in electrical engineering and later specialize in biomedical engineering during my graduate studies. My experiences in both the corporate and education sectors provided me with a solid foundation, blending practical industry knowledge with a passion for teaching and mentoring.

Throughout my doctoral studies, I focused on integrating artificial intelligence into healthcare systems, a journey that revealed my true purpose: harnessing cutting-edge technology to tackle disparities in medical access and outcomes. This intersection of technology and human health has become the cornerstone of my work, driving me to explore new frontiers and create tangible societal impact.

In parallel with my research, I cultivated a passion for teaching, bridging disciplines such as electrical engineering, computer science, and medicine. This multidisciplinary approach allows me to tackle problems with both technical precision and a human-centered perspective.

At CMKL University, I aim to channel this expertise into fostering interdisciplinary collaboration and advancing groundbreaking research. Its mission to redefine AI’s role locally and globally resonates deeply with my own vision, and I am eager to contribute to shaping a future where technology enhances lives and bridges inequalities.

Education
  • Undergraduate studies: Electrical Engineering, Taiba University, Saudi Arabia
  • Graduate Studies: Biomedical Engineering, Rangsit University, Thailand
Current Research
  • Generative Adversarial Networks for Deep Learning
  • Brain-Computer Interface
Selected Publications
  • Neural correlates of face perception modelled with a convolutional recurrent neural network (DOI: 10.1088/1741-2552/acc35b)
  • Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network (DOI:10.1016/j.ibneur.2023.12.002)
  • Pre-trained vs. Random Weights for Calculating Fréchet Inception Distance in Medical Imaging (DOI:10.1109/BMEiCON53485.2021.9745214)