Education

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Massachusetts Institute of Technology          September 2017 - present 

Ph.D. Candidate in Electrical Engineering & Computer Science department

MIT Computer Science and Artificial Intelligence Laboratory

HCI Engineering Group

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University of Washington                                 September 2013 - June 2017

Bachelor's Degree

Department of Electrical & Computer Engineering

Overall GPA: 3.72       Major GPA: 3.82

Concentration: Embedded Computing Systems

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Publications

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[15]  Junyi Zhu, Yuxuan Lei, Aashini Shah, Gila R. Schein, Hamid Ghaednia, Joseph H. Schwab, Casper Harteveld and Stefanie Mueller. 2022. MuscleVR: 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. (to appear)

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[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.

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[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.

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[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.

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[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.

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[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.

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[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.

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[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.

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[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. 

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[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.

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[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.

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[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.

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[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]

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[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.

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[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.

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Conference Service

Organizing Committee

ACM UIST, Video Preview Chair                                                                            2022

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Associate Chair

ACM TEI                                                                                                                  2023

ACM CHI Late Breaking Work                                                                               2021

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Reviewer

ACM CHI                                                                                                                  2020, 2021, 2022

ACM UIST                                                                                                                2020, 2021, 2022

ACM TEI                                                                                                                   2020

ACM IMWUT                                                                                                            2020

ACM ISS                                                                                                                  2020

 

Volunteering

ACM CHI Student Volunteer                                                                                  2020

ACM CHI Program Committee Meeting, Subcommittee Chair Assistant         2019

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Invited Talks

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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

 

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Awards and Honors

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Thomas Stockham Jr. Fellowship ($90000), 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 ($41353), MIT, 2017 - 2018

Dean’s List, University of Washington, 2013 – 2017

 

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Selected Press

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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

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Work Experience

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Google LLC                                                          Research Intern            June 2022 - September 2022

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 

 

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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)
Customer service, interpersonal and group/collaboration skills
Detail orientated, responsible, passionate and eager to learn 

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