Muyinatu Bell

Last updated
Muyinatu A. Lediju Bell
Muyinatu Lediju Bell at Medical Imaging and Deep Learning 2019 conference.jpg
Bell at the Medical Imaging and Deep Learning 2019 conference in London
Born
United States
Alma mater Massachusetts Institute of Technology (B.S.)
Duke University (Ph.D.)
Awards Innovators Under 35 (2016)
NSF CAREER Award (2018)
Sloan Research Fellowship (2019)
Scientific career
Fields
Institutions Johns Hopkins University
Website pulselab.jhu.edu

Muyinatu "Bisi" A. Lediju Bell is a researcher and faculty member. She is the John C. Malone Associate Professor of Biomedical Engineering, Electrical and Computer Engineering, and Computer Science at Johns Hopkins University. She is also the director of the Photoacoustic and Ultrasonic Systems Engineering Laboratory.

Contents

She has received an Innovators Under 35 award, Sloan Research Fellowship and NSF CAREER Award.

Early life and education

Bell grew up in Brooklyn, New York. She decided she was going to be a scientist at the age of six. [1] She attended Brooklyn Technical High School and was selected to take part in a math and science program for successful women sophomores. [2] She studied at Massachusetts Institute of Technology, graduating with a bachelor's degree in mechanical engineering in 2006. She was involved in several societies, including the Biomedical Engineering Society, [3] the Black Women's Alliance, the Black Student Union, and the Women's Technology Program. [2] She joined Duke University for her postgraduate studies. Bell received a Whitaker Foundation International Fellowship to lead a research project at the Institute of Cancer Research and Royal Marsden Hospital from 2009 to 2010. [4]

In 2012, she finished her PhD and was also selected to take part in the University of Michigan NextProf workshop. [5] Her graduate dissertation research was supported by a UNCF/Merck Graduate Dissertation Fellowship. Bell became a postdoctoral fellow at Johns Hopkins University, working in the centre for Computer-Integrated Surgical Systems and Technology. Her postdoctoral appointment was supported by both UNCF/Merck and the Ford Foundation. [6] [7]

Career and research

Bell joined the faculty of Johns Hopkins University as an interim assistant research professor. [1] She works with the Laboratory for Computational Sensing and Robotics to develop systems that can control individual ultrasound and photoacoustic components. [1] She is exploring various medical robots for treating and diagnosing medical conditions. [6] She launched an online course, Introduction to Medical Imaging, on Udemy in 2015. That year she was awarded a National Institutes of Health K99/R00 Pathway to Independence Award. [8] This allowed her to evaluate coherence-based photoacoustic image guidance for transsphenoidal surgery. [9] She holds a patent in short-lag spatial coherence beamforming, [10] which can be used for photoacoustic image guidance of medical procedures such as skull base surgery [11] or prostate brachytherapy. [12] She provided a free MATLAB toolbox UltraSound Toolbox to help process ultrasonic signals. [13] In 2016, she founded PULSE, the Photoacoustic and Ultrasonic Systems Engineering Laboratory. [1] [14] She was included in the MIT Technology Review 2016 list of 35 Innovators Under 35. [15] [16]

Bell joined the faculty of biomedical engineering at Johns Hopkins University in January 2017. [6] As an assistant professor, she was awarded a National Institutes of Health Trailblazer Award in 2018. [17] The award uses machine learning to improve the quality of ultrasound images. [18] [19] [20] She explored convolutional neural networks that input data and output readable images that are free from artefacts. [21] She took part in the 2017 Deep Learning in Healthcare Summit in Boston. [22] She was awarded a 2018 Johns Hopkins University Discovery Award, which allowed her to explore the use of photoacoustic image guidance in gynaecological surgeries. [23] She was awarded an NSF CAREER Award in 2018 to allow her to advance photoacoustic-guided surgery. [24] This will help surgeons avoid damaging vital structures during operations. [2] She was invited by the National Academy of Engineering to participate in the U.S. Frontiers of Engineering Symposium in 2018. [25] She was awarded a Sloan Research Fellowship [26] and she was named Maryland's Outstanding Young Engineer [27] [28] by the Maryland Academy of Sciences and the Maryland Science Center in 2019. Bell is the 2021 winner of the SPIE Early Career Achievement Award, in recognition of her pioneering contributions to photoacoustic imaging for surgical guidance, including innovative technology designs, novel deep learning applications, informative spatial coherence beamforming theory, and visionary clinical possibilities. [29] [30] She was elected as a 2022 Fellow of the American Institute for Medical and Biological Engineering for pioneering contributions to development of ultrasonic and photoacoustic medical imaging systems, including coherence-based beamforming, photoacoustic-guided surgery, and deep-learning applications. [31] Bell was later promoted to associate professor with tenure in July 2022. [32]

Bell is a senior member of both the Institute of Electrical and Electronics Engineers (IEEE) [33] and SPIE. [34] She regularly attends IEEE and SPIE conferences, [34] [35] she is active in the IEEE Women in Engineering community, [36] [37] and she supports SPIE women in optics activities. [38] [39] [40]

Awards and honors

Bell's awards and honors include:

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References

  1. 1 2 3 4 "Johns Hopkins engineer honored by 'MIT Technology Review' as top young innnovator [sic]". The Hub. 2016-08-23. Retrieved 2018-10-19.
  2. 1 2 3 "Faculty Q&A: Muyinatu (Bisi) Bell - Electrical and Computer Engineering". Electrical and Computer Engineering. 2018-03-12. Retrieved 2018-10-19.
  3. ↑ "MIT Biomedical Engineering Society". web.mit.edu. Retrieved 2019-10-23.
  4. 1 2 "Publications by Grantees". www.whitaker.org. Retrieved 2019-10-23.
  5. ↑ "NextProf Alumna Honored as Top Young Innovator – NextProf Workshop". nextprof.engin.umich.edu. Retrieved 2018-10-19.
  6. 1 2 3 "MALedijuBell". pages.jh.edu. Retrieved 2018-10-19.
  7. ↑ "News". pages.jh.edu. Retrieved 2018-10-19.
  8. ↑ "Muyinatu A. Bell, Ph.D." Retrieved 2018-10-19.
  9. ↑ "Dr. Bell Receives NIH Grant for Photoacoustic Imaging System | Electrical and Computer Engineering". Electrical and Computer Engineering. 2017-03-13. Retrieved 2018-10-19.
  10. ↑ US 9254116,Dahl, Jeremy J.; Bell, Muyinatu A. Lediju& Trahey, Gregg E.,"Methods, systems and apparatuses for Van-Cittert Zernike imaging",published 2016-02-09, assigned to Duke University
  11. ↑ US 10531828,Bell, Muyinatu; Boctor, Emad& Kazanzides, Peter,"Method and system for transcranial photoacoustic imaging for guiding skull base surgeries", assigned to Johns Hopkins University
  12. ↑ Lediju Bell, Muyinatu A.; Kuo, Nathanael; Song, Danny Y.; Boctor, Emad M. (2013-09-04). "Short-lag spatial coherence beamforming of photoacoustic images for enhanced visualization of prostate brachytherapy seeds". Biomedical Optics Express. 4 (10): 1964–1977. doi:10.1364/BOE.4.001964. ISSN   2156-7085. PMC   3799659 . PMID   24156057.
  13. ↑ "SLSC Beamforming Code Now Available on UltraSound Toolbox – Muyinatu Bell". pulselab.jhu.edu. 21 August 2017. Retrieved 2018-10-19.
  14. ↑ "Muyinatu Bell – Assistant Professor & PULSE Lab Director". pulselab.jhu.edu. Retrieved 2018-10-19.
  15. 1 2 "Innovators Under 35". MIT Technology Review. Retrieved 2018-10-19.
  16. 1 2 Meet the Innovators Under 35: Muyinatu Bell, Johns Hopkins University , retrieved 2018-10-19
  17. ↑ "Prof. Bell Receives NIH Trailblazer Award – Muyinatu Bell". pulselab.jhu.edu. 24 July 2018. Retrieved 2018-10-19.
  18. ↑ "Project Information - NIH Reporter". projectreporter.nih.gov. Retrieved 2018-10-19.
  19. ↑ Allman, Derek; Reiter, Austin; Bell, Muyinatu A. Lediju (June 2018). "Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning". IEEE Transactions on Medical Imaging. 37 (6): 1464–1477. doi:10.1109/tmi.2018.2829662. ISSN   0278-0062. PMC   6075868 . PMID   29870374.
  20. ↑ Nair, Arun Asokan; Tran, Trac D.; Reiter, Austin; Lediju Bell, Muyinatu A. (April 2018). "A Deep Learning Based Alternative to Beamforming Ultrasound Images". 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. pp. 3359–3363. doi:10.1109/icassp.2018.8461575. ISBN   9781538646588. S2CID   4891209.
  21. ↑ "Web Viewer". viewer.aemmobile.adobe.com. Archived from the original on 2018-10-20. Retrieved 2018-10-19.
  22. ↑ "Interview with Muyinatu Bell, Johns Hopkins University". videos.re-work.co. Retrieved 2018-10-19.
  23. ↑ "Prof. Bell Receives JHU Discovery Award – Muyinatu Bell". pulselab.jhu.edu. 12 June 2018. Retrieved 2018-10-19.
  24. 1 2 "Muyinatu Bell to receive NSF CAREER Award | Electrical and Computer Engineering". Electrical and Computer Engineering. 2018-02-16. Retrieved 2018-10-19.
  25. 1 2 "Innovative Young Engineers Selected to Participate in NAE's 2018 U.S. Frontiers of Engineering Symposium". NAE Website. Retrieved 2020-01-26.
  26. 1 2 deNobel, Jacob (2019-02-19). "Muyinatu Bell among recipients of prestigious Sloan Fellowship". The Hub. Retrieved 2019-02-27.
  27. 1 2 "Muyinatu Bell receives Maryland's Outstanding Young Engineer Award". Electrical and Computer Engineering. 2019-03-11. Retrieved 2020-01-26.
  28. 1 2 Ercolano, Lisa (2019-03-13). "Johns Hopkins scientist Muyinatu Bell named Maryland Outstanding Young Engineer". The Hub. Retrieved 2020-01-26.
  29. 1 2 "Early Career Achievement Award - SPIE". spie.org. Retrieved 2021-05-16.
  30. 1 2 "Muyinatu Bell: The 2021 SPIE Early Career Achievement Award – Academic". spie.org. Retrieved 2021-05-16.
  31. 1 2 "Muyinatu A. Lediju Bell, Ph.D. COF-7071 - AIMBE" . Retrieved 2022-07-16.
  32. ↑ "Prof. Bell Awarded Tenure". Muyinatu Bell. 2022-05-07. Retrieved 2022-11-18.
  33. ↑ "IEEE - RAS Congratulates Recently Elevated Senior Members - IEEE Robotics and Automation Society". www.ieee-ras.org. Retrieved 2020-01-26.
  34. 1 2 "Muyinatu Bell". spie.org. Retrieved 2020-01-26.
  35. ↑ "Muyinatu A. Lediju Bell". ieeexplore.ieee.org. Retrieved 2020-01-26.
  36. ↑ "Women in Engineering (WIE) | IEEE UFFC". IEEE UFFC. Retrieved 2018-10-19.
  37. ↑ "Women in Engineering Elevator Pitch Event at IEEE IUS". IEEE UFFC. 2018-11-04. Retrieved 2020-01-26.
  38. ↑ Muyinatu Lediju Bell: Photoacoustic imaging for improved surgical tools, 2017-01-17, retrieved 2018-10-19
  39. ↑ "Muyinatu Bell | Women in Optics | SPIE". spie.org. Retrieved 2020-01-26.
  40. ↑ "Women in Optics Spotlight Series". spie.org. Retrieved 2021-05-16.
  41. ↑ "Elected Fellows". Optica. Retrieved 2024-06-19.
  42. ↑ "SPIE Fellows". spie.org. Retrieved 2023-06-26.
  43. ↑ "Sloan Research Fellowships". sloan.org. Retrieved 2019-02-27.
  44. ↑ "Muyinatu Bell receives NIH's Trailblazer Award". Johns Hopkins Whiting School of Engineering. 2018-07-27. Retrieved 2018-12-22.
  45. ↑ "30 interdisciplinary research teams receive Johns Hopkins Discovery Awards". Johns Hopkins Whiting School of Engineering. 2018-06-12. Retrieved 2018-12-22.
  46. ↑ "LCSR post-doc wins NIH Pathway to Independence Award". Johns Hopkins Whiting School of Engineering. 2015-05-14. Retrieved 2018-12-22.
  47. ↑ "Two-Time UNCF-Merck Fellowship Recipient – Muyinatu Bell". pulselab.jhu.edu. April 2013. Retrieved 2018-12-22.
  48. ↑ "Press Release Roster". nrc58.nas.edu. Retrieved 2018-12-22.
  49. ↑ "Lediju wins UNCF-Merck Graduate Science Research Dissertation Fellowship". Duke Pratt School of Engineering. 2011-06-07. Retrieved 2018-12-22.
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