ABOUT ME
Education
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
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
Publications
[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
Associate Chair
ACM CHI Late Breaking Work 2021
Reviewer
ACM CHI 2020, 2021, 2022
ACM UIST 2020, 2021
ACM TEI 2020
ACM IMWUT 2020
ACM ISS 2020
Volunteering
ACM CHI Student Volunteer 2020
ACM CHI Program Committee Meeting, Subcommittee Chair Assistant 2019
Invited Talks
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
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
Selected Press
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
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)
Customer service, interpersonal and group/collaboration skills
Detail orientated, responsible, passionate and eager to learn