I began my Ph.D. journey at Michigan Technological University in Fall 2021 in the Computational Science and Engineering program, under the guidance of Dr. Sidike Paheding and more recently co-advising by Dr. Guy Hembroff. My time at Michigan Tech has been incredibly enriching, allowing me to dive deep into my passion for artificial intelligence, particularly in the fields of biomedical image segmentation and computer vision. My research focuses on developing AI-driven solutions for early disease detection, aiming to enhance healthcare outcomes through advanced deep learning techniques.
One of the most rewarding aspects of my work has been developing innovative deep learning models like UPEN++ and MarsLS-Net, which contribute to advancements in biomedical and planetary image segmentation. Presenting my research at top-tier conferences such as CVPR and MICCAI has been both exciting and humbling, providing opportunities to engage with and learn from the broader research community.
I’m incredibly grateful to my advisors, Dr. Paheding and Dr. Hembroff, for their unwavering support and mentorship. Their guidance has been instrumental in shaping my research and academic growth. I also want to extend my heartfelt thanks to the Applied Computing Department and Chair Dr. Dan Fuhrmann for their continuous encouragement. Additionally, I’m grateful to my committee members, Dr. Dukka KC and Dr. Laura Brown, for their valuable insights and support.
Receiving the Doctoral Finishing Fellowship is a true honor, and I sincerely thank the Graduate Dean Awards Advisory Panel and the Dean for this recognition. This fellowship allows me to dedicate myself fully to completing my dissertation and preparing for the next steps in my career.
I’m also thankful to my peers and colleagues at Michigan Tech. The collaborative and supportive environment here has made my doctoral journey both productive and enjoyable. I look forward to contributing further to the field of AI and making a positive impact on healthcare through my research.