Junyi Zhu (朱均逸)

PHD CANDIDATE

ELECTRICAL ENGINEERING & COMPUTER SCIENCE

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

I am currently a Ph.D. candidate in Computer Science at MIT CSAIL, advised by Prof. Stefanie Mueller at the HCIE Group, working at the intersection of Human Computer Interaction, fabrication and novel sensing technologies. I design and fabricate personalized health and medical sensing devices that can be used for both dynamic in-field environment for remote monitoring and diagnosis session, as well as in-clinic monitoring along with other medical procedures, to provide more temporal and spatial information for doctors and physicians. I am a 2017 Seneff-Zue Fellow, a 2021 Thomas G. Stockham, Jr (1955) and Bernard (Ben) Gold Fellow and a 2023 Seibel Scholar.

Prior to MIT, I completed my Bachelor's Degree at University of Washington in Electrical & Computer Engineering Department, concentrated in Embedded Computing Systems, worked as a Research Assistant at UW Ubicomp Lab, a part-time Software Engineer at Senosis Health, and a Teaching Assistant at UW Electrical & Computer Engineering Department.

I am on the 2023-2024 job market. Please feel free to reach out if you have potential positions.

Research Vision

I envision that in the future, every individual will have a personalized health monitoring system, which consists of health monitoring device(s) with custom sensing functions based on the patient’s health conditions, with unique device form factors based on the patient's body shape and usage context, as well as patient specific models for analyzing the collected data, just how doctors customize treatment and recovery plans for every patient in-clinic. With my background in health sensing, fabrication and human-computer interaction, I am uniquely positioned to design and fabricate personal health and medical devices, build signal processing models for individual patients and their specific conditions, and deploy my devices in studies with doctors and patients.

Research Publications

Yiyue Luo, Junyi Zhu, Kui Wu, Cedric Honnet, Stefanie Mueller and Wojciech Matusik.

MagKnitic: Machine-knitted Passive and Interactive Haptic Textiles with Integrated Binary Sensing

In Proceedings of UIST 2023

Donghyeon Ko, Yoonji Kim, Junyi Zhu, Michael Wessely and Stefanie Mueller.

FlexBoard: A Flexible Breadboard for Interaction Prototyping on Curved and Deformable Surfaces
In Proceedings of CHI 2023

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.

MechSense: A Design and Fabrication Pipeline for Integrating Rotary Encoders into 3D Printed Mechanisms
In Proceedings of CHI 2023.

Junyi Zhu, Yuxuan Lei, Aashini Shah, Gila R. Schein, Hamid Ghaednia, Joseph H. Schwab, Casper Harteveld and Stefanie Mueller
MuscleRehab: Improving Unsupervised Physical Rehabilitation by Monitoring and Visualizing Muscle Engagement
In Proceedings of UIST 2022.

Yoonji Kim, Junyi Zhu, Mihir Trivedi, Dishita G. Turakhia, Ngai Hang Wu, Donghyeon Ko, Michael Wessely, Stefanie Mueller.
SensorViz: Visualizing Sensor Data Across Different Stages of Prototyping Interactive Objects
In Proceedings of DIS 2022.

Junyi Zhu, Jackson C. Snowden, Joshua Verdejo, Emily Chen, Paul Zhang, Hamid Ghaednia, Joseph H. Schwab, Stefanie Mueller.
EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing
In Proceedings of UIST 2021.

Junyi Zhu, Yunyi Zhu, Jiaming Cui, Leon Cheng, Jackson C Snowden, Mark Chounlakone, Michael Wessely, Stefanie Mueller.
MorphSensor: A 3D Electronic Design Tool for Reforming Sensor Modules
In Proceedings of UIST 2020.

Junyi Zhu, Lotta-Gili Blumberg, Yunyi Zhu, Martin Nisser, Ethan Levi Carlson, Xin Wen, Kevin Shum, Jessica Ayeley Quaye, Stefanie Mueller.

CurveBoards: Integrating Breadboards into Physical Objects to Prototype Function in the Context of Form.
In Proceedings of CHI 2020.

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 TEI 2019.

Edward Wang, Junyi Zhu, Mohit Jain, Tien-Jui Lee, Elliot Saba, Lama Nachman, Shwetak N. Patel.

Seismo: Blood Pressure Monitoring using Built-in Smartphone Accelerometer and Camera.
In Proceedings of CHI 2018. [BEST PAPER NOMINEE]

DOI

PDF

Video

Edward Wang, William Li, Junyi Zhu, Rajneil Rana, Shwetak N. Patel.

Noninvasive hemoglobin measurement using unmodified smartphone camera and white flash.
In Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017).

DOI

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Edward Wang, Junyi Zhu, William Li, Rajneil Rana, Shwetak N. Patel.

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).

DOI

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Extended Abstracts, Short Paper & Demo

Yunyi Zhu, Cedric Honnet, Yixiao Kang, Junyi Zhu, Angelina J. Zheng, Kyle Heinz, Grace Tang, Luca Musk, Michael Wessely, Stefanie Mueller.

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). ACM.

Donghyeon Ko, Yoonji Kim, Junyi Zhu, Michael Wessely, Stefanie Mueller.

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

Xinyi Yang, Katarina Bulovic,Susanna Chen, Junyi Zhu, Stefanie Mueller
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 WIP). ACM.

Junyi Zhu
Design and Fabricate Personal Health Sensing Devices
In Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22). ACM.

Junyi Zhu, Yuxuan Lei, Aashini Shah, Gila Schein, Hamid Ghaednia, Joseph Schwab, Casper Harteveld, Stefanie Mueller.
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.

Junyi Zhu, Liang He, Jun Nishida, Hamid Ghaednia, Hsin-Liu (Cindy) Kao, Jon E. Froehlich, Edward Wang, Stefanie Mueller
SIG: Towards More Personal Health Sensing
In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts). ACM.

Cedric Honnet, Yunyi Zhu, Junyi Zhu, Michael Wessely and Stefanie Mueller.
WearaFab: Digital Fabrication for Wearables Toolkits
In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts). ACM.

Junyi Zhu, Jackson Snowden, Joshua Verdejo, Emily Chen, Paul Zhang, Hamid Ghaednia, Joseph Schwab, Stefanie Mueller.
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.

Junyi Zhu, Yunyi Zhu, Jiaming Cui, Leon Cheng, Jackson Snowden, Mark Chounlakone, Michael Wessely Stefanie Mueller.
Demonstration of MorphSensor: A 3D Electronic Design Tool for Reforming Sensor Modules
In Adjunct Publication of the 33rd An- nual ACM Symposium on User Interface Software and Technology (UIST ’20). ACM.

Junyi Zhu, Lotta-Gili Blumberg, Yunyi Zhu, Martin Nisser, Ethan Levi Carlson, Xin Wen, Kevin Shum, Jessica Ayeley Quaye, Stefanie Mueller.
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.

Other Fun Projects

Mixing Frames: A Video-oriented Approach to Video Super-resolution In this work, we propose a video-oriented approach to video super-resolution: instead of building an all-in-one neural network for all types of videos, we instead train several different networks with various performance features, and based on the video clip’s characteristics (i.e. color saturation, movement frequency in terms of frame blurriness), pick the most suitable model(s) for each part, even mixing them up if necessary.	Parking System for Capitol Hill A district shared parking system for Capitol Hill Housing by using RFID tags and WISPCam (a battery-free RFID camera). The RFID tags monitor the cars going in and out to get the number of cars inside the garage and how many free spots are left. The WISPCam inside the garage will show which specific spots are available, which is achieved by machine learning. All the information are displayed on our own website and self-built mobile application. The project has been filed for a patent.	BiliCam iOS development for an existing research project, BiliCam, a smartphone-based non-invasive medical application that uses the on-device camera to monitor jaundice in newborns, and improve its scalability and the user interface along with assessment processes to match user habits. Redesign the machine learning models so that is matches the FDA approval standard.
Drone Hacking & Overcontrol Use Wireshark to hijack the proprietary communication protocol of a Parrot mini-drone through a self-developed Android Application, and featuring cross-communication between it and Arduino board through both Bluetooth and Wi-Fi, controlled by human motion.	Pokémon Game via FPGA Adopted from the famous Japanese GBA game. The game is designed for two players to play on two separate FPGA boards, each embedded with self-built microprocessor and asynchronous serial network system.	Air Pollution Monitoring Assist with community air monitors for Imperial, CA. The crew in SEAL Lab & Seto Lab already deployed 20 monitors last year, and the next 20 new monitors will be designed for this year. Data are streamed to UW servers via Wi-Fi connections by Arduino board in monitors. Data can be viewed through a self-designed mobile application.
Mobile Tank Cross-compiled on both Pyhtek and Beaglebone Black board with Linux-based system, controlled through Bluetooth by self-written Android Application.	20161100_204652 Describe your image.