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)
NSF Alan T. Waterman Award (2024)
Scientific career
Fields
Institutions Johns Hopkins University
Website pulselab.jhu.edu

Muyinatu "Bisi" A. Lediju Bell 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, NSF CAREER Award, and the NSF Alan T. Waterman Award, which is the highest honor in the nation to early-career scientists and engineers.

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]

In 2024, Bell received the highest honor in the nation to early-career scientists and engineers: the NSF Alan T. Waterman Award. [33] [34]

Bell is a senior member of both the Institute of Electrical and Electronics Engineers (IEEE) [35] and SPIE. [36] She is also a fellow of SPIE and Optica. [37] [38] She regularly attends IEEE and SPIE conferences, [36] [39] she is active in the IEEE Women in Engineering community, [40] [41] and she supports SPIE women in optics activities. [42] [43] [44]

Awards and honors

Bell's awards and honors include:

Related Research Articles

The Alan T. Waterman Award, named after Alan Tower Waterman, is the United States's highest honorary award for scientists no older than 40, or no more than 10 years past receipt of their Ph.D. It is awarded on a yearly basis by the National Science Foundation. In addition to the medal, the awardee receives a grant of $1,000,000 to be used at the institution of their choice over a period of five years for advanced scientific research.

<span class="mw-page-title-main">Kristina M. Johnson</span> American former government official, academic, engineer, and business executive

Kristina M. Johnson is an American professorial electrical engineer, business executive and academic administrator. She is an elected member of the National Academy of Engineering.

<span class="mw-page-title-main">Anthony M. Johnson</span> American physicist, ultrafast optics (born 1954)

Anthony Michael Johnson is an American experimental physicist, a professor of physics, and a professor of computer science and electrical engineering at the University of Maryland, Baltimore County (UMBC). He is the director of the Center for Advanced Studies in Photonics Research (CASPR), also situated on campus at UMBC. Since his election to the 2002 term as president of the Optical Society, formerly the Optical Society of America, Johnson has the distinction of being the first and only African-American president to date. Johnson's research interests include the ultrafast photophysics and nonlinear optical properties of bulk, nanostructured, and quantum well semiconductor structures, ultrashort pulse propagation in fibers and high-speed lightwave systems. His research has helped to better understand processes that occur in ultrafast time frames of 1 quadrillionth of a second. Ultrashort pulses of light have been used to address technical and logistical challenges in medicine, telecommunications, homeland security, and have many other applications that enhance contemporary life.

<span class="mw-page-title-main">Richard Baraniuk</span> American electrical engineer and academic

Richard G. Baraniuk is the C. Sidney Burrus Professor of Electrical and Computer Engineering at Rice University and the Founder and Director of the open education initiative OpenStax.

<span class="mw-page-title-main">Hamid Soltanian-Zadeh</span> Iranian biomedical engineer

Hamid Soltanian-Zadeh is an Iranian biomedical engineer. He was born in Yazd in 1960.

Bir Bhanu is the Marlan and Rosemary Bourns Endowed University of California Presidential Chair in Engineering, the Distinguished Professor of Electrical and Computer Engineering, and Cooperative Professor of Computer Science and Engineering, Mechanical Engineering and Bioengineering, at the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside (UCR). He is the first Founding Faculty of the Marlan and Rosemary Bourns College of Engineering at UCR and served as the Founding Chair of Electrical Engineering from 1/1991 to 6/1994 and the Founding Director of the Center for Research in Intelligent Systems (CRIS) from 4/1998 to 6/2019. He has been the director of Visualization and Intelligent Systems Laboratory (VISLab) at UCR since 1991. He was the Interim Chair of the Department of Bioengineering at UCR from 7/2014 to 6/2016. Additionally, he has been the Director of the NSF Integrative Graduate Education, Research and Training (IGERT) program in Video Bioinformatics at UC Riverside. Dr. Bhanu has been the principal investigator of various programs for NSF, DARPA, NASA, AFOSR, ONR, ARO and other agencies and industries in the areas of object/target recognition, learning and vision, image/video understanding, image/video databases with applications in security, defense, intelligence, biological and medical imaging and analysis, biometrics, autonomous navigation and industrial machine vision.

Andrea Alù is an Italian American scientist and engineer, currently Einstein Professor of Physics at The City University of New York Graduate Center. He is known for his contributions to the fields of optics, photonics, plasmonics, and acoustics, most notably in the context of metamaterials and metasurfaces. He has co-authored over 650 journal papers and 35 book chapters, and he holds 11 U.S. patents.

Chung-Chieh Jay Kuo is a Taiwanese electrical engineer and the director of the Multimedia Communications Lab as well as distinguished professor of electrical engineering and computer science at the University of Southern California. He is a specialist in multimedia signal processing, video coding, video quality assessment, machine learning and wireless communication.

<span class="mw-page-title-main">Andreas Mandelis</span> Greek physicist (b. 1952)

Andreas Mandelis FRSC, FCAE, FAPS, FSPIE, FAAAS, FASME, is a Greek - Canadian physicist who is a professor and researcher in the department of Mechanical and Industrial Engineering at the University of Toronto. He is the director of the Center for Advanced Diffusion-Wave and Photoacoustic Technologies (CADIPT). and of the Institute for Advanced Non-Destructive and Non-Invasive Diagnostic Technologies (IANDIT) at the University of Toronto. He is an internationally recognized expert in thermophotonics. and is considered a pioneer in the fields of diffusion-wave, photothermal, and photoacoustic sciences and related technologies. His research interests encompass studies of physical energy conversion processes in condensed and biological matter as they impact instrumentation science and signal generation technologies with applications spanning the development of a wide spectrum of novel instrumentation, measurement and imaging techniques using optical-to-thermal, thermoelastic, electronic, ultrasonic and/or photonic energy conversion high-dynamic-range and high-sensitivity analytical methodologies, leading to advanced non-destructive / non-invasive diagnostic, inspection and monitoring technologies with major focus on advanced dynamic imaging instrumentation for industrial and biomedical applications. He is the inventor of a photothermal imaging radar which can detect tooth decay at an early stage, can detect the onset of cancerous lesions in soft tissues, cracks in teeth and monitor dental structural integrity over time. His research team also pioneered and patented 22 analytical instrumentation and measurement methodologies and metrologies.

<span class="mw-page-title-main">Mona Jarrahi</span> Iranian engineer (born 1979)

Mona Jarrahi is an Iranian Engineering professor at the University of California, Los Angeles. She investigates novel materials, terahertz/millimeter-wave electronics and optoelectronics, microwave photonics, imaging and spectroscopy systems.

<span class="mw-page-title-main">Deji Akinwande</span> Nigerian-American professor of Electrical and Computer Engineering

Deji Akinwande is a Nigerian-American professor of Electrical and Computer Engineering with courtesy affiliation with Materials Science at the University of Texas at Austin. He was awarded the Presidential Early Career Award for Scientists and Engineers in 2016 from Barack Obama. He is a Fellow of the American Physical Society, the African Academy of Sciences, the Materials Research Society (MRS), and the IEEE.

<span class="mw-page-title-main">Suchi Saria</span> Indian scientist

Suchi Saria is an Associate Professor of Machine Learning and Healthcare at Johns Hopkins University, where she uses big data to improve patient outcomes. She is a World Economic Forum Young Global Leader. From 2022 to 2023, she was an investment partner at AIX Ventures. AIX Ventures is a venture capital fund that invests in artificial intelligence startups.

Fauzia Ahmad is an associate professor of electrical engineering at Temple University. Her research considers statistical signal processing and ultrasonic guided wave structural health monitoring. She serves as associate editor of the IEEE Transactions on Aerospace and Electronic Systems and Geoscience and Remote Sensing Society. She is a Fellow of the Institute of Electrical and Electronics Engineers and SPIE.

Deep learning in photoacoustic imaging

Deep learning in photoacoustic imaging combines the hybrid imaging modality of photoacoustic imaging (PA) with the rapidly evolving field of deep learning. Photoacoustic imaging is based on the photoacoustic effect, in which optical absorption causes a rise in temperature, which causes a subsequent rise in pressure via thermo-elastic expansion. This pressure rise propagates through the tissue and is sensed via ultrasonic transducers. Due to the proportionality between the optical absorption, the rise in temperature, and the rise in pressure, the ultrasound pressure wave signal can be used to quantify the original optical energy deposition within the tissue.

Audrey K. Ellerbee Bowden is an American engineer and Dorothy J. Wingfield Phillips Chancellor's Faculty Fellow at Vanderbilt University, as well as an Associate Professor of Biomedical Engineering and Electrical Engineering. She is a Fellow of Optica, the American Institute for Medical and Biological Engineering and the International Society for Optics and Photonics (SPIE).

Ralph Etienne-Cummings is an academic in the field of electrical engineering. He is a professor of Electrical & Computer Engineering at Johns Hopkins University.

Erika Moore Taylor is a biomedical engineer, scientist, assistant professor, "Forbes 30 under 30 honoree," financial advisor, and the founder of a scholarship program that has been featured on CNBC.

<span class="mw-page-title-main">Stacey Finley</span> American biologist and geneticist

Stacey Finley is the Nichole A. and Thuan Q. Pham Professor and associate professor of chemical engineering and materials science, and quantitative and computational biology at the University of Southern California. Finley has a joint appointment in the department of chemical engineering and materials science, and she is a member of the USC Norris Comprehensive Cancer Center. Finley is also a standing member of the MABS Study Section at NIH. Her research has been supported by grants from the NSF, NIH, and American Cancer Society.

Ramalingam "Rama" Chellappa is a Bloomberg Distinguished Professor, who works at Johns Hopkins University. At Johns Hopkins University, he is a member of the Center for Language and Speech Processing, the Center for Imaging Science, the Institute for Assured Autonomy, and the Mathematical Institute for Data Sciences. He joined Johns Hopkins University after 29 years at The University of Maryland. Before that, he was an assistant, associate professor, and later, director, of the University of Southern California's Signal and Image Processing institute.

Gregg E. Trahey is an American biomedical engineer and academic in the field of medical ultrasound. He is the Robert Plonsey Distinguished Professor of Biomedical Engineering at Duke University. In 2022, he was named a fellow of the Institute of Electrical and Electronics Engineers (IEEE) "for contributions to speckle tracking and acoustic radiation force impulse imaging in medical ultrasound".

References

  1. 1 2 3 4 "Johns Hopkins engineer honored by 'MIT Technology Review' as top young innnovator [sic]". The Hub. 2016-08-23. Archived from the original on 2018-10-20. 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. Archived from the original on 2018-10-20. Retrieved 2018-10-19.
  3. "MIT Biomedical Engineering Society". web.mit.edu. Archived from the original on 2018-10-17. Retrieved 2019-10-23.
  4. 1 2 "Publications by Grantees". www.whitaker.org. Archived from the original on 2019-10-23. Retrieved 2019-10-23.
  5. "NextProf Alumna Honored as Top Young Innovator – NextProf Workshop". nextprof.engin.umich.edu. Retrieved 2018-10-19.[ permanent dead link ]
  6. 1 2 3 "MALedijuBell". pages.jh.edu. Retrieved 2018-10-19.
  7. "News". pages.jh.edu. Archived from the original on 2016-12-07. Retrieved 2018-10-19.
  8. "Muyinatu A. Bell, Ph.D." Archived from the original on 2018-10-20. 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. Archived from the original on 2018-10-20. 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. Archived from the original on 2018-10-20. Retrieved 2018-10-19.
  14. "Muyinatu Bell – Assistant Professor & PULSE Lab Director". pulselab.jhu.edu. Archived from the original on 2018-10-20. Retrieved 2018-10-19.
  15. 1 2 "Innovators Under 35". MIT Technology Review. Archived from the original on 2018-11-09. Retrieved 2018-10-19.
  16. 1 2 Meet the Innovators Under 35: Muyinatu Bell, Johns Hopkins University, archived from the original on 2018-11-09, retrieved 2018-10-19
  17. "Prof. Bell Receives NIH Trailblazer Award – Muyinatu Bell". pulselab.jhu.edu. 24 July 2018. Archived from the original on 2018-10-20. Retrieved 2018-10-19.
  18. "Project Information - NIH Reporter". projectreporter.nih.gov. Archived from the original on 2024-08-24. 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. Archived from the original on 2018-10-20. Retrieved 2018-10-19.
  23. "Prof. Bell Receives JHU Discovery Award – Muyinatu Bell". pulselab.jhu.edu. 12 June 2018. Archived from the original on 2018-10-20. 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. Archived from the original on 2018-10-20. 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. Archived from the original on 2019-02-28. Retrieved 2019-02-27.
  27. 1 2 "Muyinatu Bell receives Maryland's Outstanding Young Engineer Award". Electrical and Computer Engineering. 2019-03-11. Archived from the original on 2020-01-26. Retrieved 2020-01-26.
  28. 1 2 Ercolano, Lisa (2019-03-13). "Johns Hopkins scientist Muyinatu Bell named Maryland Outstanding Young Engineer". The Hub. Archived from the original on 2020-01-26. Retrieved 2020-01-26.
  29. 1 2 "Early Career Achievement Award - SPIE". spie.org. Archived from the original on 2021-05-16. Retrieved 2021-05-16.
  30. 1 2 "Muyinatu Bell: The 2021 SPIE Early Career Achievement Award – Academic". spie.org. Archived from the original on 2021-05-16. Retrieved 2021-05-16.
  31. 1 2 "Muyinatu A. Lediju Bell, Ph.D. COF-7071 - AIMBE". Archived from the original on 2024-08-24. Retrieved 2022-07-16.
  32. "Prof. Bell Awarded Tenure". Muyinatu Bell. 2022-05-07. Archived from the original on 2022-11-18. Retrieved 2022-11-18.
  33. 1 2 Lencioni, Dino (2024-04-24). "Muyinatu Bell receives 2024 Alan T. Waterman Award". The Hub. Archived from the original on 2024-07-21. Retrieved 2024-08-24.
  34. U.S. National Science Foundation (2024-05-09). Biomedical Engineer Transforming Medical Imaging | Alan T. Waterman Award. Archived from the original on 2024-08-24. Retrieved 2024-08-24 via YouTube.
  35. "IEEE - RAS Congratulates Recently Elevated Senior Members - IEEE Robotics and Automation Society". www.ieee-ras.org. Archived from the original on 2021-05-12. Retrieved 2020-01-26.
  36. 1 2 "Muyinatu Bell". spie.org. Retrieved 2020-01-26.
  37. 1 2 "SPIE Fellows". spie.org. Archived from the original on 2023-05-28. Retrieved 2023-06-26.
  38. 1 2 "Elected Fellows". Optica. Archived from the original on 2024-05-28. Retrieved 2024-06-19.
  39. "Muyinatu A. Lediju Bell". IEEE . Archived from the original on 2024-08-24. Retrieved 2020-01-26.
  40. "Women in Engineering (WIE) | IEEE UFFC". IEEE UFFC. Archived from the original on 2021-05-12. Retrieved 2018-10-19.
  41. "Women in Engineering Elevator Pitch Event at IEEE IUS". IEEE UFFC. 2018-11-04. Archived from the original on 2021-05-12. Retrieved 2020-01-26.
  42. Muyinatu Lediju Bell: Photoacoustic imaging for improved surgical tools, 2017-01-17, retrieved 2018-10-19
  43. "Muyinatu Bell | Women in Optics | SPIE". spie.org. Archived from the original on 2021-05-12. Retrieved 2020-01-26.
  44. "Women in Optics Spotlight Series". spie.org. Archived from the original on 2021-05-17. Retrieved 2021-05-16.
  45. "Sloan Research Fellowships". sloan.org. Archived from the original on 2019-02-26. Retrieved 2019-02-27.
  46. "Muyinatu Bell receives NIH's Trailblazer Award". Johns Hopkins Whiting School of Engineering. 2018-07-27. Archived from the original on 2020-03-08. Retrieved 2018-12-22.
  47. "30 interdisciplinary research teams receive Johns Hopkins Discovery Awards". Johns Hopkins Whiting School of Engineering. 2018-06-12. Archived from the original on 2020-03-10. Retrieved 2018-12-22.
  48. "LCSR post-doc wins NIH Pathway to Independence Award". Johns Hopkins Whiting School of Engineering. 2015-05-14. Archived from the original on 2020-03-10. Retrieved 2018-12-22.
  49. "Two-Time UNCF-Merck Fellowship Recipient – Muyinatu Bell". pulselab.jhu.edu. April 2013. Archived from the original on 2021-05-12. Retrieved 2018-12-22.
  50. "Press Release Roster". nrc58.nas.edu. Archived from the original on 2018-12-22. Retrieved 2018-12-22.
  51. "Lediju wins UNCF-Merck Graduate Science Research Dissertation Fellowship". Duke Pratt School of Engineering. 2011-06-07. Archived from the original on 2024-08-24. Retrieved 2018-12-22.