Bryan Ranger

Ferrante Family Assistant Professor

Profile

Bryan Ranger is the Ferrante Family Assistant Professor in the Department of Engineering, holds a courtesy appointment in the William F. Connell School of Nursing, and is a member of the Global Public Health and the Common Good Program faculty. At 艾可直播 College, he leads the Biomedical Imaging and Instrumentation Lab, where his research in biomedical engineering and global health focuses on developing technologies that make healthcare more accessible and cost-effective, with particular emphasis on ultrasound and AI-based image analysis. His research program has been supported by the National Science Foundation, the Bill & Melinda Gates Foundation, and Google.聽He is also committed to advancing engineering education through research and teaching, and teaches first-year engineering analysis laboratories, a second-year engineering foundations course focused on electrical engineering topics, and a biomedical imaging elective in the Human-Centered Engineering program.

Prof. Ranger works at the intersection of biomedical technology innovation and global public health. Throughout his career, he has contributed to global health initiatives including field research in Zambia and Uganda, and through programmatic and policy-oriented work with the World Health Organization and USAID. Immediately prior to joining the 艾可直播at 艾可直播 College, he served as a Program Officer in the Global Health Division at the Bill & Melinda Gates Foundation, where he managed research programs and investments in sensing, medical devices, imaging, neurodevelopment, AI and machine learning, and digital health. His lab currently conducts collaborative research with Jimma University in Ethiopia, Brigham and Women鈥檚 Hospital and Harvard Medical School in 艾可直播, and the University of Minnesota Medical Center.

Prof. Ranger completed his Ph.D. in Medical Engineering and Medical Physics at MIT through the Harvard-MIT Program in Health Sciences and Technology (HST) as a National Science Foundation Graduate Research Fellow. His dissertation focused on developing ultrasound imaging methods to improve lower-limb prosthesis design. While at MIT, he was also an instructor at the D-Lab. He earned his M.S.E. and B.S.E. in Biomedical Engineering, with concentrations in medical imaging and bioelectrics, from the University of Michigan.

Selected Publications

  • Keshi He, Donglai Wei, and Bryan J. Ranger. "Deep Learning for Clinical Ultrasound Imaging: From Supervised Approaches to Foundation Models." IEEE Journal of Biomedical and Health Informatics (2025).
  • Keshi He, Yi Li, Hayoung Cho, Emily Nagel, Sara Ramel, Katherine Bell, Jinhee Park, Donglai Wei, and Bryan J. Ranger. "Developing a Deep Learning Approach for Automated Body Composition Prediction in Newborns using Ultrasound Images." IEEE Access (2025).
  • Keshi He, Julia Hohenberg, Audrey Xiao, Yi Li, Hayoung Cho, Emily Nagel, Sara Ramel, Katherine A. Bell, Donglai Wei, Jinhee Park, and Bryan J. Ranger. "Enhancing Newborn Health Assessment: Ultrasound-based Body Composition Prediction Using Deep Learning Techniques." Ultrasound in Medicine and Biology (2025).
  • Tucker Marion, Maria Yang, Amy Banzaert, Kaitlyn Becker, Eric Brubaker, Ryan Bruggeman, Robert Cowherd, Madhurima Das, Jose Pinto Duarte, Sebastian Fixson, Liz Gerber, Kosa Goucher-Lambert, Babak Heydari, Kathryn Jablokow, Maulik Kotecha, Anna-Maria McGowan, Jeff Nickerson, Ana Pantelic, Bryan Ranger, Tahira Reid Smith, and Tim Simpson. "Extreme Design: An Editorial on a New Research Framework within Engineering Design." Journal of Mechanical Design (JMD) (2025).
  • Bo Jiang, Keshi He, Hayoung Cho, Michael J. Naughton, and Bryan J. Ranger. "Improving ultrasound image segmentation in data-scarce scenarios using self-supervised learning with phantom data pre-training." IEEE Engineering in Medicine and Biology Society Conference (EMBC) (2025).
  • Mary Serpe, Caleb Lee, Reid Povinelli, Richard Thyden, Luke Perreault, Keshi He, Glenn Gaudette, Antonio Freitas dos Santos, and Bryan J. Ranger. "Ultrasound imaging for non-destructive sensing in bioreactors." ACS Omega (2025).
  • Abhishu Oza, Dhaval K. Patel, and Bryan J. Ranger. "Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon." IEEE Access. (2025).
  • Bryan J. Ranger, Allison Lombardi, Susie Kwon, Mary Loeb, Hayoung Cho, Keshi He, Donglai Wei, and Jinhee Park. "Ultrasound for assessing paediatric body composition and nutritional status: Scoping review and future directions." Acta Paediatrica (2025).
  • Bryan J. Ranger, Elizabeth Bradburn, Qingchao Chen, Micah Kim, J. Alison Noble, Aris T. Papageorghiou. "Portable ultrasound devices for obstetric care in resource-constrained environments: mapping the landscape." Gates Open Research (2024).
  • Bryan J. Ranger, Avneet Hira, Siddhartan Govindasamy. "Work in Progress: Engineering Analysis Laboratory Courses Complement First-year Physics and Calculus." American Society for Engineering Education (ASEE) Annual Conference and Exposition (2024).
  • Bryan J. Ranger, Kevin M. Moerman, Micha Feigin, Hugh M. Herr, and Brian W. Anthony. "3D Ultrasound Shear Wave Elastography for Musculoskeletal Tissue Assessment Under Compressive Load: A Feasibility Study." Ultrasonic Imaging (2024).
  • Bryan J. Ranger, Elizabeth Bradburn, Qingchao Chen, Micah Kim, J. Alison Noble, and Aris T. Papageorghiou. "Portable ultrasound devices for obstetric care in resource-constrained environments: mapping the landscape." Gates Open Research (2023).
  • Yi Li, Keshi He, Hayoung Cho, Bryan J. Ranger. "Ultrasound Segmentation Using Deep Learning: Training on Musculoskeletal Phantom Data and Testing on Clinical Data." IEEE MIT Undergraduate Research and Technology Conference (2023).
  • Kashish Shah, Dhaval K. Patel, Minesh P. Thaker, Harsh A. Patel, Manob Jyoti Saikia and Bryan J. Ranger. 鈥淓MED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation.鈥 IEEE Access (2023).
  • Connor Gaudette, Hayoung Cho, Manob Jyoti Saikia, and Bryan J. Ranger. 鈥淢imicry of skeletal muscle tissue with layered phantom for ultrasound imaging.鈥 IEEE MIT Undergraduate Research and Technology Conference (2022).
  • Bryan J. Ranger, Kevin M. Moerman, Brian W. Anthony, and Hugh M. Herr. 鈥淐onstitutive parameter identification of transtibial residual limb soft tissue using ultrasound indentation and shear wave elastography.鈥 Journal of the Mechanical Behavior of Biomedical Materials (2022).
  • Bryan J. Ranger, Avneet Hira, Brian Smith, Xiang Zhang, and Brian W. Anthony. 鈥淲ork in progress: cost-effective table-top ultrasound systems as platform for biomedical engineering education.鈥 American Society for Engineering Education (ASEE) Annual Conference & Exposition (2022).
  • Bryan J. Ranger, Micha Feigin, Xiang Zhang, Kevin M. Moerman, Hugh Herr, Brian W. Anthony. 鈥3D ultrasound imaging of residual limbs with camera-based motion compensation.鈥 IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019; 27(2):207-217.
  • Bryan J. Ranger and Aikaterini Mantzavinou. 鈥淒esign thinking in development engineering education: A case study on creating prosthetic and assistive technologies for the developing world.鈥 Journal of Development Engineering, 2018; 3:166-174.
  • Aikaterini Mantzavinou, Bryan J. Ranger, Smitha Gudapakkam, Katharine G. Broach Hutchins, Elizabeth Bailey and Kristian R. Olson. 鈥淗ealth hackathons drive affordable medical technology innovation through community engagement.鈥 UNESCO Technologies for Development: From Innovation to Social Impact, 2016; 87-95.
  • Bryan Ranger, Peter J Littrup, Nebojsa Duric, Priti Chandiwala-Mody, Cuiping Li, Steven Schmidt, Jessica Lupinacci. 鈥淏reast ultrasound tomography versus magnetic resonance imaging for clinical display of anatomy and tumor rendering: Preliminary results.鈥 American Journal of Roentgenology, 2012; 198(1):233-239.

Appointments, Awards, and Grants

  • National Science Foundation (NSF) - Research Initiation in Engineering Formation (RIEF) Grant (Award Number: 2508414) (2025)
  • NIH mHealth Training Institute (mHTI) Scholar (2025)
  • Termeer Institute Scholar (2025)
  • Bill & Melinda Gates Foundation - Advancing Women's Health Innovation Grant (Award Number: INV-080243) (2024)
  • Ferrante Family Assistant Professorship, Morrissey College of Arts and Sciences (2024)
  • Google Award for Inclusion Research Grant (2023)
  • Google Research Scholar Program Grant (2022)

Patents

  • US20240417668A1. Bryan Ranger, Glenn Gaudette, Richard Thyden, Luke Perreault, Antonio Carlos Freitas dos Santos. "Ultrasound as a non-destructive sensor for bioreactors." (2024). (Pending)
  • US20210145608A1. Hugh M Herr, Kevin Mattheus Moerman, Dana Solav, Bryan James Ranger, Rebecca Steinmeyer, Stephanie Lai Ku, Canan Dagdeviren, Matthew Carney, German A Prieto-Gomez, Xiang Zhang, Jonathan Randall Fincke, Micha Feigin-Almon, Brian W Anthony, Zixi Liu, Aaron Jaeger, Xingbang Yang. "Quantitative Design And Manufacturing Framework For A Biomechanical Interface Contacting A Biological Body Segment." (2021). (Pending)
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