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About me
I am a final year EECS PhD student at MIT in the Computational Prototyping Group, advised by Professor Jacob White. I earned my SM degree in Electrical Engineering and Computer Science from MIT in May 2020. My current research focuses on building hand-held, low-field, permanent magnet MRI scanners for point-of-care and educational settings. I am honored to be funded by the National Defense Science and Engineering Graduate (NDSEG) Fellowship.
I received a BS in Biomedical Engineering from The University of Texas at Austin in May 2017. As an undergraduate, I worked with Professor Nanshu Lu on developing bio-integrated electronics with 2D materials.
Publications and Presentations
| 2022
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| 2D Imaging without Gradient Coils in a Low-Field Spokes-and-Hub Permanent Magnet Irene Kuang, Jason Stockmann, Elfar Adalsteinsson, Jacob White Proc. Intl. Soc. Mag. Reson. Med., 2022. Conference Oral Presentation. [Abstract] [Slides] |
| Improving brain B0 shimming using an easy and accessible multi-coil shim array at ultra-high field Vincent Oltman Boer, Jan Ole Pedersen, Nick Arango, Irene Kuang, Jason Stockmann, Esben Thade Petersen Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA), 2022. [Paper] |
| 2021
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| Mechanical Tilt-Induced Gradient Fields for Low-Field Spokes-and-Hub MR Imagers Irene Kuang, Jason Stockmann, Elfar Adalsteinsson, Jacob White Proc. Intl. Soc. Mag. Reson. Med., 2021. Conference Poster Presentation. [Abstract] [Slides] [Presentation] Magnetic Moments 2021 Competition, Runner-Up. [Video] |
| 2020
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| On Building a Low-Cost, Low-Field, Hand-held Magnetic Resonance Imager Invited talk at MIT SENSE.nano Symposium: The Body At All Scales. September 2020. [Presentation] |
| Equivalent-Charge-Based Optimization of Spokes-and-Hub Permanent Magnets for Hand-Held MR Imaging Irene Kuang SM Thesis, May 2020. Massachusetts Institute of Technology. [Thesis] |
| Bloch-Optimized Dithered-Ultrasound-Pulse RF for Low-Field Inhomogeneous Permanent Magnet MR Imagers Irene Kuang, Nicolas Arango, Jason Stockmann, Elfar Adalsteinsson, Jacob White Proc. Intl. Soc. Mag. Reson. Med., 2020. Conference Oral Presentation. [Abstract] [Slides] [Presentation] |
| 2019
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| A 16-channel AC/DC array coil for anesthetized monkey whole-brain imaging at 7T Yang Gao, Azma Mareyam, Yi Sun, Thomas Witzel, Nicolas Arango, Irene Kuang, Jacob White, Anna Wang Roe, Lawrence Wald, Jason Stockmann, Xiaotong Zhang NeuroImage, 2019. [Paper] |
| Equivalent-Charge-Based Optimization of Spokes-and-Hub Magnets for Hand-Held and Classroom MR Imaging Irene Kuang, Nicolas Arango, Jason Stockmann, Elfar Adalsteinsson, Jacob White Proc. Intl. Soc. Mag. Reson. Med., 2019. Conference Oral Presentation. [Abstract] [Presentation] |
| 2018
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| Imperceptible electrooculography graphene sensor system for human-robot interface Shideh K. Ameri, Myungsoo Kim, Irene A. Kuang, Withanage K. Perera, Mohammed Alshiekh, Hyoyoung Jeong, Ufuk Topcu, Deji Akinwande, Nanshu Lu npj 2D Materials and Applications, 2018. [Paper] |
| Assessment of Dry Epidermal Electrodes for Long-Term Electromyography Measurements Momona Yamagami, Keshia M. Peters, Ivana Milovanovic, Irene Kuang, Zeyu Yang, Nanshu Lu, Katherine M. Steele Sensors, 2018. [Paper] |
| 2017
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| NFC-enabled, tattoo-like stretchable biosensor manufactured by "cut-and-paste" method Hyoyoung Jeong, Taewoo Ha, Irene Kuang, Linxiao Shen, Zhaohe Dai, Nan Sun, Nanshu Lu IEEE EMBC, 2017. [Paper] |
Teaching
Electronics Laboratory, Student Program for Innovation in Science and Engineering (SPISE)Teaching Assistant with Prof. Jacob White
Summer 2021
Feedback System Design (6.302/6.320), MIT
Teaching Assistant with Prof. Jacob White
Spring 2020
Principles of Biomedical Imaging (HST.164), MIT/HST
Teaching Assistant with Profs. Susie Y. Huang and David E. Sosnovik
January 2020, 2021, 2022
Introduction to Embedded Systems (EE319K), UT Austin
Teaching Assistant with Profs. Jonathan Valvano and Ramesh Yerraballi
Spring 2015
Thanks to Lucy Chai for the website template!