ABOUT ME
Education
Massachusetts Institute of Technology September 2019 - June 2024
Ph.D. in Computer Science, EECS Department
Computer Science and Artificial Intelligence Laboratory (CSAIL)
HCI Engineering Group
Massachusetts Institute of Technology September 2017 - June 2019
Master of Science in Computer Science, EECS Department
Computer Science and Artificial Intelligence Laboratory (CSAIL)
University of Washington September 2013 - June 2017
Bachelor's Degree
Department of Electrical & Computer Engineering
Concentration: Embedded Computing Systems
Publications
[27] Yunyi Zhu, Cedric Honnet, Yixiao Kang, Junyi Zhu, Angelina Zheng, Kyle Heinz, Grace Tang, Luca Musk, Michael Wessely, Stefanie Mueller. PortaChrome: A Portable Contact Light Source for Integrated Re-Programmable Multi-Color Textures. In Proceedings of the 37th Annual ACM Symposium on User Interface Software and Tech. (UIST '24). ACM.
[26] Junyi Zhu*, Young Joong Lee*, Yiyue Luo*, Tianyu Xu, Chao Liu, Daniela Rus, Stefanie Mueller and Wojciech Matusik. Liquids Identification and Manipulation via Digitally Fabricated Impedance Sensors. In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE.
[25] Alexander Kyu*, Hongyu Mao*, Junyi Zhu, Mayank Goel and Karan Ahuja. EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24). ACM.
[24] Yiyue Luo, Junyi Zhu, Kui Wu, Cedric Honnet, Stefanie Mueller and Wojciech Matusik. 2023. MagKnitic: Machine-knitted Passive and Interactive Haptic Textiles with Integrated Binary Sensing. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology(UIST ’23). ACM.
[23] Yunyi Zhu, Cedric Honnet, Yixiao Kang, Junyi Zhu, Angelina J. Zheng, Kyle Heinz, Grace Tang, Luca Musk, Michael Wessely and Stefanie Mueller. 2023. Demonstration of ChromoCloth: Re-Programmable Multi-Color Textures through Flexible and Portable Light Source. In Adjunct Publication of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23 Adjunct). ACM.
[22] Junyi Zhu, Stiven Morvan, Dongeek Shin, Andrea Colaco, Sambuddha Basu, Sean Bae. Full Hand Kinematic Reconstruction Using Electrical Impedance Tomography Wearable. U.S. Patent Application No. 63/387,443.
[21] Donghyeon Ko, Yoonji Kim, Junyi Zhu, Michael Wessely and Stefanie Mueller. 2023. FlexBoard: A Flexible Breadboard for Interaction Prototyping on Curved and Deformable Surfaces. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). ACM.
[20] Marwa AlAlawi, Noah Pacik-Nelson, Junyi Zhu, Ben Greenspan, Andrew Doan, Brandon M Wong, Benjamin Owen-Block, Shanti Mickens, Wilhelm Schoeman, Michael Wessely, Andreea Danielescu and Stefanie Mueller. 2023. MechSense: A Design and Fabrication Pipeline for Integrating Rotary Encoders into 3D Printed Mechanisms. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). ACM.
[19] Donghyeon Ko, Yoonji Kim, Junyi Zhu, Michael Wessely and Stefanie Mueller. 2023. Demonstration of FlexBoard: A Flexible Breadboard for Interaction Prototyping on Curved and Deformable Surfaces. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA'23). ACM
[18] Junyi Zhu, Yuxuan Lei, Aashini Shah, Gila R. Schein, Hamid Ghaednia, Joseph H. Schwab, Casper Harteveld and Stefanie Mueller. 2022. MuscleRehab: Improving Unsupervised Physical Rehabilitation by Monitoring and Visualizing Muscle Engagement. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22). ACM.
[17] Xinyi Yang, Katarina Bulovic, Susanna Chen, Junyi Zhu, Stefanie Mueller. 2023. Azimuth Calculation and Telecommunication between VR Headset and Smartphones for Nearby Interaction. In Proceedings of the 17th International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’23 Work in Progress). ACM.
[16] Junyi Zhu. 2022. Design and Fabricate Personal Health Sensing Devices. In The Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22 Adjunct). ACM.
[15] Junyi Zhu, Yuxuan Lei, Aashini Shah, Gila R. Schein, Hamid Ghaednia, Joseph H. Schwab, Casper Harteveld and Stefanie Mueller. 2022. Monitoring Muscle Engagement via Electrical Impedance Tomography for Unsupervised Physical Rehabilitation. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22). ACM.
[14] Yoonji Kim, Junyi Zhu, Mihir Trivedi, Dishita G. Turakhia, Ngai Hang Wu, Donghyeon Ko, Michael Wessely and Stefanie Mueller. 2022. SensorViz: Visualizing Sensor Data Across Different Stages of Prototyping Interactive Objects. In Proceedings of the 2022 ACM Designing Interactive Systems Conference (DIS ’22). ACM.
[13] Junyi Zhu, Liang He, Jun Nishida, Hamid Ghaednia, Hsin-Liu (Cindy) Kao, Jon E. Froehlich, Edward Wang, and Stefanie Mueller. 2022. SIG: Towards More Personal Health Sensing. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts). ACM.
[12] Cedric Honnet, Yunyi Zhu, Junyi Zhu, Michael Wessely and Stefanie Mueller. 2022. WearaFab: Digital Fabrication for Wearables Toolkits. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts). ACM.
[11] Junyi Zhu, Jackson Snowden, Joshua Verdejo, Emily Chen, Hamid Ghaednia, Joseph H. Schwab, and Stefanie Mueller. 2021. EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing. In Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology (UIST ’21). ACM.
[10] Junyi Zhu, Jackson Snowden, Joshua Verdejo, Emily Chen, Hamid Ghaednia, Joseph H. Schwab, and Stefanie Mueller. 2021. EIT-kit Demo: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing. In Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology (UIST ’21). ACM.
[9] Junyi Zhu, Yunyi Zhu, Jiaming Cui, Leon Cheng, Jackson Snowden, Mark Chounlakone, Michael Wessely and Stefanie Mueller. 2020. MorphSensor: A 3D Electronic Design Tool for Reforming Sensor Modules. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST ’20). ACM.
[8] Junyi Zhu, Yunyi Zhu, Jiaming Cui, Leon Cheng, Jackson Snowden, Mark Chounlakone, Michael Wessely and Stefanie Mueller. Demonstration of MorphSensor: A 3D Electronic Design Tool for Reforming Sensor Modules. In Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST ’20). ACM.
[7] Junyi Zhu, Lotta-Gili Blumberg, Yunyi Zhu, Martin Nisser, Ethan Levi Carlson, Xin Wen, Kevin Shum, Jessica Ayeley Quaye, and Stefanie Mueller. 2020. CurveBoards: Integrating Breadboards into Physical Objects to Prototype Function in the Context of Form. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). ACM.
[6] Junyi Zhu, Lotta-Gili Blumberg, Yunyi Zhu, Martin Nisser, Ethan Levi Carlson, Xin Wen, Kevin Shum, Jessica Ayeley Quaye, and Stefanie Mueller. 2020. CurveBoards Demo: Integrating Breadboards into Physical Objects to Prototype Function in the Context of Form. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20). ACM.
[5] Junyi Zhu. 2019. A Software Pipeline for Converting 3D Models into 3D Breadboards. MIT Libraries. Thesis for Master of Science in Computer Science and Engineering at the Massachusetts Institute of Technology.
[4] Martin Nisser, Junyi Zhu, Tianye Chen, Katarina Bulovic, Parinya Punpongsanon, Stefanie Mueller. Sequential Support: 3D Printing Dissolvable Support Material for Time-Dependent Mechanisms. In Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '19). ACM.
[3] Edward Wang, Junyi Zhu, Mohit Jain, Tien-Jui Lee, Elliot Saba, Lama Nachman, and Shwetak N. Patel. 2018. Seismo: Blood Pressure Monitoring using Built-in Smartphone Accelerometer and Camera. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM. [BEST PAPER NOMINEE]
[2] Edward Wang, William Li, Junyi Zhu, Rajneil Rana and Shwetak N. Patel. Noninvasive hemoglobin measurement using unmodified smartphone camera and white flash. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017.
[1] Edward Wang, Junyi Zhu, William Li, Rajneil Rana, and Shwetak Patel. 2017. HemaApp IR: noninvasive hemoglobin measurement using unmodified smartphone cameras and built-in LEDs. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17). ACM.
Conference Service
Organizing Committee
ACM UIST, Video Recording Chair 2024
ACM CHI, Session Chair 2023
ACM UIST, Video Preview Chair 2022 - 2023
Associate Chair
ACM CHI 2025
ACM CHI Workshops 2023
ACM TEI 2023
ACM CHI Late Breaking Work 2021
Reviewer
ACM CHI 2020 - 2024
ACM UIST 2020 - 2024
ACM TEI 2020 - 2024
ACM IMWUT 2020 - 2023
ACM ISS 2020
Volunteering
ACM CHI Student Volunteer 2020
ACM CHI Program Committee Meeting, Subcommittee Chair Assistant 2019
Invited Talks
MIT Digital Health and Wellness Seminar. Keynote Speaker, hosted by Prof. Rosalind Picard, MIT 2024
Carnegie Mellon University, School of Computer Science, Human Computer Interaction Institute. From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance, hosted by Prof. Alexandra Ion 2024
Cornell University, Human Centered Design Department. From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance, hosted by Prof. Gary Evans 2024
Emory University, Computer Science Department. From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance, hosted by Prof. Yolanda Rankin 2024
Harvard Medical School, The 10th Annual International Symposium on Regenerative Rehabilitation. Active Impedance Sensing for Muscle Engagement Monitoring, hosted by Prof. Fabrisia Ambrosio 2024
University of Michigan, Electrical Engineering and Computer Science Department. From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance, hosted by Prof. Robert Dick 2024
New York University, Computer Science and Engineering Department. From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance, hosted by Prof. Claudio Silva 2024
University of Notre Dame, Computer Science and Engineering Department. Towards Personal Health and Medical Monitoring Systems, hosted by Prof. Walter Scheirer 2024
Zhejiang University, School of Software Technology. Towards Personal Health and Medical Monitoring Network, hosted by Prof. Mengru Xue 2024
Tsinghua Youth Talent Development Seminar. Bridging Between Clinical and Daily Environment: Design and Fabricate Personal Health Sensing Devices. hosted by Department of Computer Science and Technology, Tsinghua University 2023
International Youth Festival on Design Futures, Smart & Digital Futures. Digital Healthcare: Future Personal Health Sensing Devices, hosted by Dr. Yuqi Liu, Tsinghua University 2022
Google LLC, AR Perception Team. Electrical Impedance Tomography: Introduction, Implementation, and Intuitions, hosted by Dr. D. Shin 2022
University of Illinois at Urbana-Champaign, Coordinated Science Laboratory. Building Personal Physical Rehabilitation Monitoring Devices, hosted by CSLSC 2021
University of Chicago, Human Computer Integration Lab. Towards More Personal Health Sensing Devices, hosted by Prof. Pedro Lopes 2021
MIT, MIT Nano Explorations. Integrating object form and electronic function in rapid prototyping and personal fabrication, hosted by Prof. Vladimir Bulović 2020
Harvard University, Graduate School of Design, hosted by Prof. Krzysztof Wodiczko 2018
Awards and Honors
Seibel Scholars ($35000), Thomas and Stacey Siebel Foundation, 2022 - 2023
Thomas Stockham Jr. Fellowship ($100000), MIT, 2021 - 2022
Frederick C. Hennie III Teaching Award ($2200), MIT EECS Department, 2021
Best Paper Nominee, ACM CHI 2018
Seneff-Zue Computer Science Fellowship Award ($45000), MIT, 2017 - 2018
Dean’s List, University of Washington, 2013 – 2017
Selected Press
MIT News. Toward more flexible and rapid prototyping of electronic devices. 2023
MIT News. 3D-printed revolving devices can sense how they are moving. 2023
MIT News. MIT system “sees” the inner structure of the body during physical rehab. 2022
Hackster.io. MuscleRehab Provides an Inside Look at What Your Muscles Do During Physiotherapy and More.
2022
Healthcare IT News. MIT, MGH create VR system to advance physical therapy at home. 2022
MIT News. Making health and motion sensing devices more personal. 2021
Yahoo Finance, MIT's toolkit lets anyone design their own muscle-sensing wearables. 2021
MIT News. A hands-on class responds to Covid. 2021
MIT News. Electronic design tool morphs interactive objects. 2020
MIT News. Integrating Electronics onto Physical Prototypes. 2020
UW ECE Spotlight. ECE alum Junyi Zhu integrates electronics onto physical prototypes at MIT with “CurveBoards”. 2020
ACM TechNews 2020
Inverse. TIRED: BREADBOARDS. WIRED: CURVEBOARDS. 2020
Seamless. ワシントン大学ら、スマートフォンで血圧測定できる技術を発表。内蔵の加速度計とカメラを使用して心臓から指先までの脈波の伝搬時間を計測. 2018
GeekWire. Google buys Seattle health monitoring startup Senosis, bolstering digital health push 2017
MIT Technology Review. How to make a smart phone detect anemia. 2016
Work Experience
Google LLC Research Intern June 2022 - March 2023
UW Ubicomp Lab Research Assistant March 2016 - September 2017
Senosis Health Software Engineer October 2016 - June 2017
University of Washington Teaching Assistant March 2016 – January 2017
UW SEAL Lab Research Assistant March 2016 - July 2016
Jiangsu SEIUC Technology Co., Ltd Software Engineer Summer 2015
Skills
Programming Languages: Java, C, Python, Verilog, Scala, MATLAB, SPICE, R, HTML, PHP etc.
Android and iOS Application development
Developing Embedded Linux Applications on ARM architecture (Raspberry Pi, BeagleBone, Arduino)
Loadable Kernel Modules (LKMs)
BASH and associated utilities
Embedded C, GCC toolchain
Strong abilities in digital and analog system/circuit designing and testing (i.e. FPGA board)